PSGR KRISHNAMMAL COLLEGE FOR WOMEN · 2018-10-11 · PSGR KRISHNAMMAL COLLEGE FOR WOMEN PROGRAMME...

PSGR KRISHNAMMAL COLLEGE FOR WOMEN

College for Excellence

An Autonomous Institution, Affiliated to Bharathiar University

Reaccredited with ‘A’ Grade by NAAC

An ISO 9001:2008 Certified Institution

Peelamedu, Coimbatore – 641004

SYLLABUS

B.COM (BUSINESS ANALYTICS)

BATCH

2018 – 2019 and Onwards

PSGR KRISHNAMMAL COLLEGE FOR WOMEN

PROGRAMME EDUCATIONAL OBJECTIVE

The program educational objectives of B.Com (Business Analytics) program are based on the intellectual

and professional development of our students.

1. Graduates of the programme can earn advanced degrees in Commerce, Computer Science and in

other professional credentials.

2. Graduates are expected to reveal their ability to work in all business domains.

3. Graduates are anticipated to propose solutions for Business Analytics problems and function

effectively on teams to accomplish a common goal.

PROGRAMME OBJECTIVE

1. To instill conceptual and procedural foundations of business analytical methods and

techniques integrated with disciplines such as commerce, mathematics, statistics,

management, economics and computer science.

2. To understand data science and its role of descriptive, predictive and prescriptive analytics

using data mining techniques in problem solving and decision making that is imperative for

business organizations.

3. To inculcate programming knowledge and ability to explore Big Data technologies, and

algorithms for data visualization and data inference of different industries.

4. To apply appropriate analytic tools and techniques to resolve complex business analytical

problems in various industry sectors and domains with hands on experience in relevant

softwares.

5. To identify and resolve practically relevant business analytic tools to handle data based on

diversified commerce conjecture to build and sustain a competitive advantage by expanding

analytics capabilities for successful career.

SYLLABUS FOR B.Com (BUSINESS ANALYTICS)

Applicable to Students admitted during the Academic year 2018-19 Batch and Onwards

Scheme of Examination

I I

TAM1701/

HIN1701/

FRE1701

Language I –

Tamil I/

Hindi I/

French I

6 86 4 3 40 60 100 3

I II ENG1701/

ENG17F1

English I/

Functional English I

6 86 4 3 40 60 100 3

I III DA17C01 Core 1: Financial Accounting 4 56 4 3 40 60 100 4 I III DA18C02 Core 2: Fundamentals of

Business Analytics

4 56 4 3 40 60 100 4

I III

TH18A15

Allied –

Statistics I

6 86 4 3 40 60 100 5

I III DA18CP1 Computer Application

Practical I – Analysis with

Excel

2 27 3 3 40 60 50* 1

I IV NME16B1/

NME16A1/

NME12WS/

NME12AS /

NME12GS /

NME18ES

Basic Tamil I/

Advanced Tamil I/

Women Studies /

Ambedkar Studies/

Gandian studies/

Introduction to

Entrepreneurship

2

28

26

26

26

26

2

4

4

4

4

-

3

-

-

-

100

50

100

100

100

-

50

-

100

100

100

100

100

2

II I

TAM1702/

HIN1702/

FRE1702

Language II –

Tamil II/

Hindi II/

French II

6 86 4 3 40 60 100 3

II II ENG1702/

ENG17F2

English II/

Functional English II

6 86 4 3 40 60 100 3

II III DA18C03 C++ 6 86 4 3 40 60 100 5 II III TH18A16 Allied - Statistics II 6 86 4 3 40 60 100 5 II III DA18CP2 Computer Application

Practical II – C++

4 57 3 3 40 60 50* 2

II IV Open Course: (Self study-

Online Course)

-- -- -- -- -- -- -- 2*

II IV NME16A2

NME16B2

**Advance Tamil/Basic

Tamil

-- -- -- -- -- -- -- Gr

.

Sem

Part

Su

bje

ct C

od

e

Title of the Paper

Inst

r.

Hrs

/

Wee

k

Con

tact

Hou

rs

Tu

tori

al

Hou

rs

Du

rati

on

of

Exam

inati

on

Examination

Marks

Cre

dit

s

CIA

ES

E

Tota

l

II VI REG16EE Effective Communication 2 -- -- -- -- -- -- 2 II VI NM16GAW General Awareness - Self

Study

-- -- Online

Test -- -- -- Gr

.

III III DA18C04 Business Data mining 6 71 4 3 40 60 100 5

III III DA16C05 Security and Portfolio

Management

5 86 4 3 40 60 100 4

III III DA17C06 Database Programing 5 86 4 3 40 60 100 4

III III

AF17A01/

DA16A02

Allied -

Operations and

Strategic

Management/Business

Economics

6 86 4 3 40 60 100 5

III III DA17CP3 Computer Application

Practical III – Database

Programming

3 42 3 3 40 60 50* 1

III IV NM14VHR Value Education and

Human Rights

2 26 4 3 100 -- 100 2

III IV NM10EVS Environmental Studies -- -- -- -- -- -- -- --

III IV

SB17TA01

SB17TAP1

Skill Based Subject –

Technological

Analytics - Java &

Linux Fundamentals

Theory

Practical

2

1

29

15

1

-

-

--

--

--

--

III V JOB1756 Job Oriented Course -- 60 -- -- 40 60 -- Gr.

IV III DA17C07 R Programming 5 71 4 3 40 60 100 4

IV III DA17C08 Business Intelligence 4 60 4 3 40 60 100 4

IV III CM16C09 Principles of Financial

Management

6 86 4 3 40 60 100 4

IV III

AF17A03/

AF16A04

Allied Group

Business Management

and Ethics /

Principles of Marketing

6 86 4 3 40 60 100 5

IV III DA17CP4 Computer Application

Practical IV – Analysis

with SPSS & R

4 57 3 3 40 60 50* 3

IV IV NM10EVS Environmental Studies 2 26 4 3 100 -- 100 2

IV IV

Skill Based Subject

Technological

Analytics - Java &

Linux Fundamentals

Theory

Practical

2

1

29

13

1

2

3

3

40

40

60

60

100

100

4

2

IV IV INST 1 Field Training -- -- -- -- 100 -- 100 2

IV V COCOACT NSS, NCC, YRC and -- -- -- -- 100 -- 100 1

Sports & Games, Eco

Watch, YI Net,

Rotaract

IV V COM15SE

R

Community Oriented

Service

-- -- -- -- -- -- -- Gr.

V III DA17C10 Python 4 56 4 3 40 60 100 4

V III CM16C11 Management Accounting 5 71 4 3 40 60 100 4

V III CM16C12 Income Tax 6 86 4 3 40 60 100 4

V III

AF16E01/

BA16E02

Elective –

Financial Markets &

Institutions /

Business Organisation and

Models

6 86 4 3 40 60 100 5

V III DA17CP3 Computer Applications

Practical V – Python

4 42 3 3 40 60 50* 2

V NM13IS2 Information Security (Level

II)

2 26 4 - 100 - Gr.

V IV

SB16A02

SB16AP2

Skill Based Subject

Theory - Sci Lab/ SAS

Practical

2

1

29

15

1

-

-

--

--

--

--

V III

AF16AC1/

AF16AC2

Advanced Learners Course

1. Human Resource

Management

2. Logistics and Supply

Chain Management

– Self Study

-- -- -- 3 -- 100 100 5*

V VI Personality Development -- -- -- -- -- -- -- --

V III Online Comprehensive

Examination

-- -- -- -- -- 100 -- Gr.

VI III DA16C13 Hadoop 5 71 4 3 40 60 100 5

VI III CM16C14 Cost Accounting 6 86 4 3 40 60 100 4

VI III

BA16E03/

BA16E04

Elective -

Legal Aspects of Business /

Indirect Taxation

6 86 4 3 40 60 100 5

VI IV

SB16A02

SB16AP2

Skill Based Subject

Theory - Sci Lab/ SAS

Practical

2

1

29

13

1

2

2

2

25

40

75

60

100

100

4

2

VI III DA16CP3 Computer Application

Practical VI – Hadoop

4 57 3 3 40 60 50* 2

VI III DA16PROJ Project Viva Voce 6 -- -- -- 20 80 100 5

VI III

AF16AC3/

AF15AC4

Advanced Learners Course

Information Systems for

Business / Knowledge

Management System – Self

Study

-- -- -- 3 -- 100 100 5*

Preamble

To provide a strong foundation in fundamental accounting concepts, various elements of

financial statements and relevant accounting standards.

To be familiar with partnership, companies and inventory accounts.

To inculcate the knowledge of international financial reporting standards.

Prerequisite

No prerequisite required

Course Outcomes On the successful completion of the course, students will be able to

CO

Numbe

r

CO Statement Knowledge

Level

CO1 Relate accounting concepts and reproduce financial statements K1

CO2

Understand and interpret accounts of Partnership firms, Companies

and inventory accounts K2

CO3 Examine and interpret financial reports K3

Mapping with Programme Outcomes

COs PO1 PO2 PO3 PO4 PO5

CO1 S

L L L M

CO2 S

L L M M

CO3 S L L

L M

S- Strong; M-Medium; L-Low

Syllabus UNIT I (11 Hrs)

Accounting Concepts and Accounting Conventions–Journal –Ledger–Trial Balance – Final Accounts – AS

1, 5.

UNIT II (11 Hrs)

Depreciation–AS 6-Bank Reconciliation Statement –AS 27.

UNIT III (11 Hrs)

Total 3800 140

DA17C01 FINANCIAL ACCOUNTING Category L T P Credit

Core 56 4 - 4

Consignment–Joint Venture.

UNIT IV (12 Hrs)

Partnership Accounts–Admission, Retirement and Death.

UNIT V (11 Hrs)

Company Accounts–Share capital- Issue and Forfeiture of Shares-IFRS.

Distribution of Marks: 20% Theory, 80% Problems

Text Book

Sl.No. Author Name Title of the Book Publisher Year and Edition

1. Jain S P and

Narang K L

Advanced Accountancy

I

Kalyani Publishers Reprint 2016 & 18th

Edition

2. Jain S P and

Narang K L

Advanced Accountancy Kalyani Publishers 2014, 20th Edition

Reference Books


1. Nagarajan K.L.,

Vinayagam. N &

P.L.Mani

Financial Accounting Sultan Chand &

Sons

2010, 1st Edition.

2. Reddy T.S &

Murthy

Financial Accounting Margham

Publications

2016, 6th Edition.

Pedagogy

Lecture, PPT, Quiz, Assignment, Group Discussion, Seminar

Course Designers

1. Dr. M. Rajaresjwari

2. D.Sujaritha

Preamble

To achieve and establish vital understanding of big data application in business intelligence.

To institute the concept of systematic transformation of process-oriented data into information of

underlying business process.

To exhibit knowledge of data analysis techniques and to apply principles of data sciences

integrating enterprise reporting.

Prerequisite

Basic knowledge in computers

Course Outcomes On the successful completion of the course, students will be able to

CO

Numbe

r


Level

CO1. To identify the importance of data science in business process. K1

CO2. To discuss data integration and modeling techniques. K2

CO3. To examine business intelligence concepts for enterprise reporting. K3


Cos PO1 PO2 PO3 PO4 PO5

CO1. S

S L M M

CO2. S

S L M M

CO3. M L L

L M


Syllabus

Unit I (11 Hrs) Introduction to the BA Role: Business Analysis -Business Analyst - The evolving role of the

Business Analyst - The BA roadmap: different levels of business analysis - The basic rules of Business

& Business Analysis - Classical Requirements and Tasks performed by Business Analysts. Project Definition and

Scoping: Aspects - Projects phases - Project approaches (Waterfall, Agile, Iterative, Incremental) - The

role of the BA across the project lifecycle.

Unit II (11 Hrs)

Business view of Information Technology Applications: Core business process – Baldrige

DA16C02 FUNDAMENTALS OF

BUSINESS ANALYTICS

Category L T P Credit

CORE 56 4 - 4

Business Excellence framework - Key purpose of using IT in business - Enterprise Applications -

Information users and their Requirements. Data Definition: Types of Data – Attributes and

Measurement – Types of data sets – Data quality – Types of Digital Data.

Unit III (12 Hrs) Introduction to OLTP and OLAP – OLTP – OLAP – Different OLAP Architectures – OLTP and OLAP – Data

models for OLTP and OLAP – Role of OLAP Tools in BI Architecture. Business Intelligence – Business

Intelligence defined – Evolution of BI and Role of DSS, EIS, MIS and Digital Dashboards – Need for BI – BI

value chain – Introduction to Business Analytics. BI Definitions and Concepts – BI Component Framework –

Need for BI – BI Users – Business Intelligence applications – BI roles and responsibilities.

Unit IV(11 Hrs) Data Integration – Data Warehouse – Goals – Data sources – Extract – Transform, Load – Data Integration –

Technologies – Data Quality maintenance – Data profiling. Data Modelling – Basics – Types – Techniques –

Fact table – Dimension Table – Typical Dimensional Models – Dimensional modeling life cycle – Designing the

Dimensional Model.

Unit V (11 Hrs) Measures, Metrics, KPIs and Performance Management – Definition – Measurement system terminology – Role

of Metrics and metrics supply chain – fact based decision making and KPIS use of KPIs – potential source for

metrics. Enterprise Reporting – Report standardization – Balanced score card – dashboards – scoreboards vs.

dashboards. BI in Real world – BI and mobility – BI and cloud computing – BI for ERP systems –Social CRM

and BI.

Text Book

S .No Author Name Title of the Book Publisher Year and Edition

1. Study Material – Unit I

2. RN Prasad, Seema

Acharya-Unit II-V

1. Fundamentals of

Business Analytics

Wiley 2015 Revised Edition

3. Pang-Ning Tan

Michael Steinbach,

Vipin Kumar

(Unit II-Data)

2. Introduction to

Data Mining

Pearson Education 2015 Revised Edition

Reference Books

S.N

o

Author Name Title of the Book Publisher Year and Edition

1. Haydn Thomas -

Demonoid

3. Business

Analysis Fundamentals

Pearson 2015 Revised Edition

Pedagogy


Course Designers

1. M. RajaRajeswari

2. S. Deepika

Preamble

To achieve and establish vital understanding of big data application in business intelligence.

To institute the concept of systematic transformation of process-oriented data into information

of underlying business process.

To exhibit knowledge of data analysis techniques and to apply principles of data sciences

integrating enterprise reporting.

Prerequisite

Basic knowledge in computers

Course Outcomes

On the successful completion of the course, students will be able to

CO

Numbe

r

CO Statement Knowledg

e Level

CO4. To identify the importance of data science in business process. K1

CO5. To discuss data integration and modeling techniques. K2

CO6. To examine business intelligence concepts for enterprise reporting. K3



CO4. S S L M M

CO5. S S L M M

CO6. M L L L M


Syllabus

Unit I (11 Hrs)

Introduction to the BA Role: Business Analysis -Business Analyst - The evolving role of

the Business Analyst - The BA roadmap: different levels of business analysis - The basic rules of

Business & Business Analysis - Classical Requirements and Tasks performed by Business Analysts. Project

Definition and Scoping: Aspects - Projects phases - Project approaches (Waterfall, Agile,

Iterative, Incremental) - The role of the BA across the project lifecycle.

Unit II (11 Hrs)

Business view of Information Technology Applications: Core business process –

Baldrige Business Excellence framework - Key purpose of using IT in business - Enterprise

Applications - Information users and their Requirements. Data Definition: Types of Data –

DA16C02 FUNDAMENTALS OF

BUSINESS ANALYTICS


CORE 56 4 - 4

Attributes and Measurement – Types of data sets – Data quality – Types of Digital Data.

Unit III (12 Hrs)

Introduction to OLTP and OLAP – OLTP – OLAP – Different OLAP Architectures –

OLTP and OLAP – Data models for OLTP and OLAP – Role of OLAP Tools in BI Architecture.

Business Intelligence – Business Intelligence defined – Evolution of BI and Role of DSS, EIS,

MIS and Digital Dashboards – Need for BI – BI value chain – Introduction to Business Analytics.

BI Definitions and Concepts – BI Component Framework – Need for BI – BI Users – Business

Intelligence applications – BI roles and responsibilities.

Unit IV(11 Hrs)

Data Integration – Data Warehouse – Goals – Data sources – Extract – Transform, Load

– Data Integration – Technologies – Data Quality maintenance – Data profiling. Data Modelling

– Basics – Types – Techniques – Fact table – Dimension Table – Typical Dimensional Models –

Dimensional modeling life cycle – Designing the Dimensional Model.

Unit V (11 Hrs)

Measures, Metrics, KPIs and Performance Management – Definition – Measurement

system terminology – Role of Metrics and metrics supply chain – fact based decision making and

KPIS use of KPIs – potential source for metrics. Enterprise Reporting – Report standardization –

Balanced score card – dashboards – scoreboards vs. dashboards. BI in Real world – BI and

mobility – BI and cloud computing – BI for ERP systems –Social CRM and BI.

Text Book

S

.No


1. Study Material – Unit I

2. RN Prasad,

Seema Acharya-

Unit II-V

4. Fundamenta

ls of Business

Analytics

Wiley 2015 Revised Edition

3. Pang-Ning Tan

Michael

Steinbach,

Vipin Kumar

(Unit II-Data)

5. Introduction

to Data Mining

Pearson

Education

2015 Revised Edition

Reference Books

S.N

o


1. Haydn Thomas

- Demonoid

6. Business

Analysis Fundamentals

Pearson 2015 Revised Edition

Pedagogy


Course Designers

1. M. RajaRajeswari

2. S. Deepika

DA18CP1

COMPUTER APPLICATION

PRACTICAL I –ANALYSIS

WITH EXCEL


Core 27 - 2 1

Preamble

To inculcate the knowledge of MS Excel

To understand the basic statistics tools & methods

Prerequisite


Course Outcomes


CO

Numbe

r


Level

CO1 To understand the Analytical commands in Excel K1

CO2 To identify the statistical tools for problem solving K2

CO3 To analyze a program using appropriate analytical tool K3



CO1 S M L L M

CO2 S S S S S

CO3 S S M M S


1. Suppose that at the beginning of May 2012 you purchased shares in Apple, Inc. (Nasdaq:

AAPL). It is now five years later and you decide to evaluate your holdings to see if you have

done well with this investment. The table below shows the market prices of AAPL.

DATE PRICE

2012 59.77

2013 121.19

2014 188.75

2015 135.81

2016 256.88

2017 337.41

a) Enter the data, as shown, into a worksheet and format the table as shown.

b) Create a formula to calculate rate of return for each year. Format the results as percentages

with two decimal places.

c) Calculate the total return for the entire holding period. What is the compound average

annual rate of return?

d) Create a Line chart showing the stock price from May 2006 to May2011. Make sure to

title the chart and label the axes. Now, create an XY Scatter chart of the same data. What are

the differences between these types of charts? Which type of chart is more appropriate for

this data?

e) Experiment with the formatting possibilities of the chart. For example, you might try

changing it to a 3-D Line chart and fill the plot area with a marble background. Is there any

reason to use this type of chart to display this data? Do the “enhancements” help you to

understand the data?

2. In your position as research assistant to a portfolio manager, you need to analyze the

profitability of the companies in the portfolio. Using the data for Chevron Corporation

below:

FISCAL

YEAR

2017 2016 2015 2014 2013

TOTAL

REVENUE

1,98,198 1,71,636 2,64,958 2,20,904 2,04,892

NET

INCOME

19,024 10,483 23,931 18,688 17,138

a) Calculate the net profit margin for each year.

b) Calculate the average annual growth rates for revenue and net income using the

GEOMEAN function. Is net income growing more slowly or faster than total revenue? Is

this a positive for your investment in the company?

c) Calculate the average annual growth rate of total revenue using the AVERAGE function.

Is this result more or less accurate than your result in the previous question? Why?

d) Create a Column chart of total revenue and net income. Be sure to change the chart so that

the x-axis labels contain the year numbers, and format the axis so that 2017 is on the far right

side of the axis.

3. Repeat Problem 2 using the data below for Qualcomm Inc. However, this time you should

create a copy of your worksheet to use as a template. Replace the data for Chevron with that

of Qualcomm.

FISCAL

YEAR

2017 2016 2015 2014 2013

TOTAL

REVENUE

10,991 10,416 11,142 8,871 7,526

NET

INCOME

3,247 1,592 3,160 3,303 2,470

a) Do you think that Qualcomm can maintain the current growth rates of sales and net

income over the long run? Why or why not?

b) Which company was more profitable in 2010? Which was more profitable if you take a

longer view? Would this affect your desire to invest in one company over the other?

4. Using the data for Paychex, Inc. (Nasdaq: PAYX), presented below:

FISCAL

YEAR

2017 2016 2015 2014 2013

SALES $ 2000.82 $ 2082.76 $ 2066.32 $ 1886.96 $ 1674.60

EBIT 729.31 812.08 854.82 743.27 674.77

TOTAL NET

INCOME

477.00 533.54 576.14 515.45 464.91

DIVIDENDS

PER SHARE

1.24 1.24 1.22 1.02 0.69

BASIC EPS

FROM

TOTAL

OPERATION

S

1.32 1.48 1.56 1.35 1.23

TOTAL

ASSETS

5,226.30 5,127.42 5,309.79 6,246.52 5,549.30

ACCOUNTS

PAYABLE

37.3 37.33 40.25 46.96 46.67

TOTAL

LIABILITIES

3,824.32 3,785.94 4,113.15 4,294.27 3,894.46

RETAINED

EARNINGS

856.29 829.50 745.35 1,595.10 1,380.97

NET CASH

FROM

OPERATING

ACTIVITIES

610.92 688.77 724.67 631.23 569.23

a) Calculate the ratio of each years’ data to the previous year for each of the above items

for Paychex, Inc. For example, for the year 2010, the ratio for sales is $2,000.82/$2,082.76

= 0.9607.

b) From your calculations in part a, calculate each year’s rate of growth. Using the example

in part a, the ratio is 0.9607, so the percentage growth in sales for 2010 is 0.9607 – 1 or –

3.93%.

c) Calculate the average growth rate (using the AVERAGE function) of each of the above

items using the results you calculated in part b. These averages are arithmetic averages.

d) Use the GEOMEAN function to estimate the compound annual average growth rate

(CAGR) for each of the above items using the results that you calculated in part a. Be sure

to subtract 1 from the result of the GEOMEAN function to arrive at a percent change.

These averages are geometric averages.

e) Compare the results from part c (arithmetic averages using the AVERAGE function) to

those for part d (geometric averages using the GEOMEAN function) for each item. Is it

true that the arithmetic average growth rate is always greater than or equal to the geometric

average (CAGR)?

f) Contrast the results for the geometric averages to those for the arithmetic average for the

variables listed below. What do you observe about the differences in the two growth

estimates for Sale and Accounts Payable? What do you observe about the differences in the

two estimates for Total Assets and Retained Earnings? Hint: Look at the results from part b

(the individual yearly growth rates) for each variable to draw some conclusions about the

variation between the arithmetic and geometric averages.

1. Sales

2. EBIT

3. Total Assets

4. Accounts Payable

5. Retained Earnings

5. Cash budget using WhatIf Analysis

6. Using Goal Seek to calculate Break Even Points

7. Sensitivity analysis of Capital Budgeting – Scenario Analysis, NPV Profile Charts

8. Financial Forecasting- Income Statement, Assets and Liabilities on Balance Sheet

9. Analysing Datasets with Tables and Pivot Tables

Preamble

To understand the concepts of object oriented programming.

To develop programming skills in C++ language.

Course Outcomes


COS

Number CO Statement Knowledge

Level

CO1 Explain the concepts of Object Oriented Programming in C++ K1, K2

CO2 Summarize the functions and operators used in C++ K2

CO3 Develop program involving classes and objects & other concepts. K3



CO1 S S S S M

CO2 S S S S M

CO3 S S S S M


Syllabus

Unit I (14 Hrs)

Principles of Object Oriented Programming – A Look at Procedure and Object Oriented

Programming Paradigm – Basic Concepts of Objects Oriented Programming – Benefits of OOP

– Object Oriented Languages – Application of OOP – Beginning with C++ – What is C++ –

Application of C++ – C++ Statements – Structure of C++ Program.

Unit II (14 Hrs)

Tokens, Expressions and Control Structures – Tokens – Keywords – Identifiers – Basic

and User Defined Data Types – Operators in C++ – Operator Overloading – Operator

Precedence – Control Structures. Functions in C++ – The Main Function – Function Prototyping

– Call by Reference – Return by Reference – Inline Functions.

Function overloading –friend and virtual functions.

Unit III (15 Hrs)

Classes and Objects – Introduction – Specifying A Class – Defining A Member Function

– Static Data Members – Arrays of Objects – Objects as Function Arguments – Friendly

Function – Pointers to Members. Constructors and Destructors – Constructors – Copy

Constructors – Dynamic Constructors – Destructors.

Unit IV (14 Hrs)

Operator Overloading – Type Conversions – Introduction – Defining Operator

Overloading – Overloading : Unary and Binary Operators – Overloading Binary Operators Using

DA18C03 C++ Category L T P Credit

CORE 86 6 - 5

Friends – Manipulation of String Using Operators – Rules for Overloading Operators – Types

Conversions – Inheritance – Extending Classes – Defining Derived Classes – Single, Multilevel,

Multiple, Hierarchical and Hybrid Inheritance – Virtual Base Classes – Abstract Classes.

Unit V (14 Hrs)

Pointers, Virtual Functions and Polymorphism – Pointers to Objects – Pointers to

Derived Classes – Virtual Functions. Working With Files – Classes For File Stream Operations –

Opening and Closing of a File – File Pointers and their Manipulation – Sequential I/O

Operations.

Text Book:

S.No Author Title of the Book Publisher Year &

Edition

1. Balaguruswamy.E Object Oriented

Programming with

C++

Tata McGraw Hill

Publishing Co. Ltd

4th

Edition,

Reprint 2009

Books for Reference:

S.No Author Title of the Book Publisher Year &

Edition

1. Ravichandran.D Programming with

C++

Tata McGraw Hill

Publishing Co. Ltd

5th

Edition

Reprint 2009

2. Venugopal K.R.,

Rajkumar, Ravishankar

T.

Mastering C++ Tata McGraw Hill

Publishing Co. Ltd

2nd

Edition

Reprint 2008

Pedagogy


Course Designers

1. S. Deepika

2. M.Rajeswari

Preamble

To inculcate C++ programming ability among the students.

To provide knowledge about the implementation of C++ concepts in to programming Course Outcomes

On the successful completion of the course, students will be able to CO

Number CO Statement Knowledge

Level CO1. Demonstrate C++ Programming Structure K1, K2 CO2. Apply operators and functions of C++ K3 CO3. Illustrate the object oriented concept in programming K2



CO1. S S S S M

DA18CP2 COMPUTER APPLICATION

PRACTICAL III - C++


PRACTICAL 57 - 4 2

CO2. S S S S M

CO3. S S S S M S- Strong; M-Medium; L-Low Syllabus

1. Odd and Even series

2. Maximum and Minimum Numbers

3. Arithmetic operations using member functions

4. Students details

5. Details of manager using array of objects

6. Computation of mean values using friend function

7. Swapping of two values using friend function

8. Static Member function using static data member

9. Sum of two complex numbers using constructors

10. String Manipulation using dynamic constructors

11. Destroy the object using Destructors

12. Simple and compound interest using Single Inheritance

13. Calculation of Depreciation

14. Hybrid Inheritance

15. Virtual Functions

Pedagogy

Demonstration through System, Demonstration through PPT

Course Designers

1. S. Deepika

2. M. Rajeswari

To understand data mining techniques and algorithm in business analytics.

To apply data preprocessing techniques and tools to solve business problems.


No prerequisite required.


DA17C04 BUSINESS DATA MINING Category L T P Credit

Core 71 6 - 4

Preamble

Prerequisite

Course Outcomes

CO

Number


Level

CO1 Identify the data model and its operation K1

CO2 Classify the basic concepts and techniques of Data Mining K2


CO1 S S L M M

CO2 M S M L L

CO3 M M S S L


UNIT I (17 Hrs)

Data Warehousing - Operational Database Systems vs. Data Warehouses -

Multidimensional Data Model - Schemas for Multidimensional Databases – OLAP Operations –

Data Warehouse Architecture– Indexing – OLAP queries & Tools. Data mining & Data

Preprocessing-Introduction to KDD process – Knowledge Discovery from Databases - Need for

Data Preprocessing – Data Cleaning – Data Integration and Transformation – Data Reduction –

Data Discretization and Concept Hierarchy Generation.

UNIT II (17 Hrs)

Association Rule Mining: Introduction - Data Mining Functionalities - Association Rule

Mining - Mining Frequent Itemsets with and without Candidate Generation - Mining Various

Kinds of Association Rules - Constraint-Based Association Mining. Data Mining: Data mining

tasks-Data mining vs KDD- Issues in data mining, Data Mining metrics, Data mining

architecture - Data cleaning- Data transformation- Data reduction - Data mining primitives.

Association Rule Mining: Introduction - Mining single dimensional Boolean association rules

from transactional databases - Mining multi-dimensional association rules.

UNIT III (17 Hrs)

Classification & Prediction: Classification vs. Prediction – Data preparation for

Classification and Prediction – Classification by Decision Tree Introduction – Bayesian

Classification – Rule Based Classification – Classification by Back Propagation – Support

Vector Machines – Associative Classification – Lazy Learners – Other Classification Methods –

Prediction – Accuracy and Error Measures – Evaluating the Accuracy of a Classifier or Predictor

– Ensemble Methods – Model Section.

UNIT IV (17 Hrs)

Clustering: Cluster Analysis: - Types of Data in Cluster Analysis – A Categorization of

Major Clustering Methods – Partitioning Methods – Hierarchical methods – Density-Based

Methods – Grid-Based Methods – Model-Based Clustering Methods – Clustering High-

Dimensional Data – Constraint-Based Cluster Analysis – Outlier Analysis.

UNIT V (18 Hrs)

Data Mining Tool: Introduction to WEKA – Loading the data (Simple) - Filtering

attributes (Simple) - Selecting attributes (Intermediate) – Training a classifier (Simple) -

Building your own classifier (Advanced) - Tree visualization (Intermediate) - Testing and

evaluating your models (Simple) Regression models (Simple) - Association rules

(Intermediate) - Clustering (Simple) - Reusing models (Intermediate) - Data mining in direct

marketing (Simple) - Using Weka for stock value forecasting (Advanced).

CO3 Apply data mining tool for solving practical business problem K3


Syllabus

S.No Author Name Title of the Book Publisher Year and Edition

1. Jiawei Han and

MichelineKamber

Unit: I - IV

Data Mining:

Concepts and

Techniques

Morgan

Kaufman

2011,3rd

Edition

2 Bostjan Kaluza

Unit: V

Instant Weka How-to PACKT

Publishing

2013, Edition.

S.No Author Name Title of the Book Publisher Year and

Edition

1 Ian H. Witten

andEibe Frank

Data Mining: Practical

Machine Learning Tools

and Techniques

Morgan

Kaufmann

publications

2016, 4th

edition

2 M. H. Dunham Data Mining:

Introductory and

Advanced Topics

Imprint Pearson

Education

2011, 4th

Impression

3 Arun K. Pujari Data Mining Techniques Universities Press

(India) Pvt. Ltd.

2013, Kindle

Edition

Text Book

Reference Books

Pedagogy

Lecture, PPT, Quiz, Assignment, Group Discussion, Seminar Course Designers

1. Mrs.S.Deepika

2. Dr.M.Rajeswari

Preamble

To familiarize the fundamental concept of Securities and Portfolio Management

To provide knowledge of risk and return involved in the different types of Securities

Prerequisite


Course Outcomes


CO

Number


Level

CO1 Understand the concept of security market and Portfolio management K1

CO2 Classify and interpret the various types of security market K2

CO3 Calculate and compute security value and application of portfolio

techniques K3



CO1 S L L S S

CO2 S M M M S

CO3 S M L S S


Syllabus

UNIT I (14 Hrs)

Nature and scope of Investment management: Investment speculation and Gambling-

Factors favorable for investment–Investment Media–Features of an investment Programme –The

investment Process–Stages in Investment–Structure of Financial Markets-DEMAT-ing –

Functions.

UNIT II (14 Hrs)

Security Valuation: Elements of Investment–Approaches to Investment–Historical

Developments of Investment Management–Basic Valuation Models–Bonds, Preference Shares,

Common Stock. Returns: Measurement–Traditional Technique-Holding Period– Yield–

Probability Distributions–Statistical Methods. Risk: Risk Classification–Systematic,

Unsystematic Risk Measurement–Standard Deviation and Variance–Regression Equation–

Correlation Coefficient– Co-variance–Investor’s Attitude towards Return and Risk.

UNIT III (15 Hrs)

Fundamental Analysis: Economic Analysis–Industrial Analysis–Company Analysis.

Technical Analysis: Assumptions–Dow Theory Charts and Signals–Technical Indicators.

Efficient Market Theory: Weak Form–Semi-Strong Form–Strong Form of Market– Experiments

and Analysis of Theory. Comparisons with Fundamental and Technical Analysis.

UNIT IV (14 Hrs)

Portfolio Analysis: Traditional Vs. Portfolio Analysis–Markowitz Theory–Efficient

Frontier – Sharp ideal Index – Foreign Security Investment – Affecting the India Investor –

DA16C05 SECURITY ANALYSIS AND

PORTFOLIO MANAGEMENT


Core 71 6 - 4

Opportunities. Portfolio Selection and International Diversification: Types of Investors –

Finding Cut off Rate – Internal Diversification.

UNIT V (14 Hrs)

Techniques of Portfolio Revision: Formula Plans – Constant Rupee Value – Constant

Ratio – Variable Ratio – Rupee Cost Averaging. Classification of Investment Companies -

Management Performance evaluation – Sharp’s Index – Treynor’s Index – Jensen’s Index –

Empirical Tests. Distribution of Marks: Theory 75% Problems 25%

Text Book

S.No Author Name Title of the Book Publisher Year and

edition

1 Preeti Singh Investment Management Himalaya

Publishing house

2011, 1st Edition

Reference Book

Pedagogy


Course Designer

1. Mrs. M. Uma

2. Mrs. R. Shiji

S.No Author Name Title of the Book Publisher Year and edition

1

Punithavathy

Pandian

Security Analysis and

Portfolio Management

Vikas

Publishing

House Pvt. Ltd.

2012, 2nd Edition

2 Francis Investments S.Chand & co 2015, 5th Edition

3 Bhalla.V.K Investment Management S Chand & Co 2010, 10th Edition

Preamble

To provide comprehensive knowledge about relational and nosql database management

system

Prerequisite


Course Outcomes


CO

Number


Level

CO1 Interpret relational database management concepts K1

CO2 Develop the tables using normalization K2

CO3 Illustrate SQL operators and keys K3



CO1 S S S S M

CO2 S S S S S

CO3 M S S S M


Syllabus

UNIT I (18Hrs)

Introduction to database management system-Data models-Database system architecture-

The SQL Language-Relational database Management System-Candidate key, primary tables key,

Foreign key-Relational operators-Attribute domains and their implementations-New conventions

for Database object-Structure of SQL statements and SQL writing guidelines-Creating tables-

Describing the structure of a table-Populating tables.

UNIT II (17Hrs)

Functional dependencies-Normalization process: 1NF- 2NF-3NF-BCNF. The E-R model-

Entities and attributes-Relationships-Normalizing the model-Table instance charts-

Implementation of the selection operator-Using aliases to control column headings-

Implementation of the projection and join operators-Creating foreign keys and primary keys and

check constraints-adding and modifying columns-Removing constraints from a table

UNIT III (17Hrs)

Built in functions-Numeric-Character conversion functions-Introduction to group

functions-sum, avg, max, min, count-combining single value and group functions- Displaying

specific groups-Introduction to processing date and time-Arithmetic with dates-Date functions-

Formatting dates and time. Sub queries-Correlated queries-Using sub queries to create, update,

DA17C06 DATABASE PROGRAMING Category L T P Credit

Core 86 5 - 4

insert and delete rows from a table-Transaction-Commit, rollback, save point and auto commit-

Introduction to PL/SQL-user defined functions-Triggers-Stored procedures.

UNIT IV (17Hrs)

Overview and History of NoSQL Databases Definition of the Four Types of NoSQL

Database, The Value of Relational Databases, Getting at Persistent Data, Concurrency,

Integration, Impedance Mismatch, Application and Integration Databases, Attack of the Clusters,

The Emergence of NoSQL. Aggregate Data Models: Aggregates - Key-Value and Document

Data Models - Column-Family Stores - Summarizing Aggregate-Oriented Databases - More

Details on Data Models - Distribution Models - Consistency.

UNIT V (17 Hrs)

Introduction to MongoDB - Getting Started – Querying - Creating, Updating, and

Deleting Documents – Querying - Designing Your Application: Indexing - Special Index and

Collection Types – Aggregation.

Text Book

S.No Author Name Book Name Publisher Year and edition

1 Ramon A Mata-

Toledo Pauline K

Cushman. Unit: 1 - 3

Database

Management System

Tata McGraw-Hill

Publishing company

limited, New Delhi.

2010, 2nd

edition

2. Pramod J. Sadalage &

Martin Fowler. Unit: 4

NoSql Distilled - Pearson Education,

Inc.

2013 Edition

3. Kristina Chodorow

Unit: 5

MongoDB: The

definitive guide -

O’Reilly Media, Inc., 2013, 2nd

Edition

Reference Books

S.No Author Name Book Name Publisher Year and edition

1 Ramakrishnan &

Gehrke

Database Management

Systems

Tata Mc Graw Hill 2009, 8th

edition

2 Nilesh Shah Database Systems

using Oracle

PHI learning pvt Ltd 2014, 2nd

edition

3 Alexis Leon &

Mathews Leon

Fundamentals of

database management

systems

Tata Mc Graw Hill 2011, 3rd

edition

Pedagogy


Course Designers

1. Mrs. S.Deepika

2. Dr.M.Rajeswari

Preamble

To provide an in depth study of the various business process, analyze operations,

production planning

Prerequisite

No prerequisite Knowledge required

Course Outcomes


COs CO Statement

Knowldge

Level

CO1 To label an in depth study of the various business process, analyze

operations, and strategic management. K1

CO2 Identify and evaluate activities for determination of work centre K2

CO3 Illustrate production planning and resource management K2,K3



CO1 S

S S S S

CO2 S

S S S S

CO3 S

S S S S


Syllabus

UNIT I (17 Hrs)

Operations Management – Introduction – Scope characteristics of modern operations

functions – recent trends in production / operations management.operations planning: Demand

forecasting – capacity planning - capacity requirement planning - facility location - facility

layout – Resource aggregate planning – Material requirements planning – Manufacturing

resource planning – Economic Batch quantity.

UNIT II (18 Hrs)

Designing of operational systems and control: Product Design, Process design - Selection

- Product Life Cycle – Process Planning – Process Selection. production planning and control:

Introduction – Control Measures – Time study, Work study, Method study, Job Evaluation, Job

Allocation (Assignment Technique), Scheduling Queuing Models, Simulation and Line

Balancing – Optimum Allocation of resources – Lean Operations – JIT – Transportation Model

and Linear Programming Technique (Formulation of equations only).

UNIT III (17 Hrs)

AF17A01 OPERATIONS AND STRATEGIC

MANAGEMENT

CATEGORY L T P Credit

CORE 86 5 - 5

Productivity Management and Quality Management: Measurement techniques of

productivity index, productivity of employee, productivity of materials, productivity of

management resources, productivity of other factors – productivity improving methods – TQM

basic tools and certification – ISO standards basics. project Management: Project planning –

project life cycle – Gantt charts, PERT and CPM.

UNIT IV (17 Hrs)

Economics of Maintenance and spares Management: Break down Maintenance –

Preventive Maintenance – Routine Maintenance – Replacement of Machine – Spare Parts

Management. Economics of Maintenance and spares Management: Break dowMaintenance –

Preventive Maintenance – Routine Maintenance – Replacement of Machine – Spare Parts

Management.

UNIT V (17 Hrs) Strategic Analysis and strategic planning Situational Analysis –SWOT Analysis –

Portfolio Analysis – BCG Matrices – Stages in Strategic Planning – Alternatives in Strategic

Planning- Formulation and Implementation of strategy: Strategy formulation function wise

(Production Strategy, Marketing Strategy, Man Power Strategy) – Structuring of Organisation

for implementation of strategy – Strategic Business Unit – Business Process re-engineering.

Text Book

Sl.No. Author Name Title of the book Publisher Year and

edition

1 ICAI Executive Study Material 2016

2 Richard, B. Chase, F.

Robert, Jacobs,

Nicholas, J. Aquilano,

and Nitin, K. Agarwal

Operations Management

for Competitive

Advantage

Tata McGraw-Hill

Education

Reprint

2014,11th

Edition

Reference Book


edition

1 Arunkumar,

B.K.Agnihotri

Operation Management

and Information system

ShuchitaPrakashan

(P) Ltd

2016, 14th

Edition

Pedagogy


Course Designer

1. Mrs. S. Manasha

2. Mrs. R. Shiji

Syllabus

Unit I (18 Hrs)

Introduction to Economics – Wealth, Welfare and Scarcity Views on Economics Positive

and Normative Economics. Definition – Scope and Importance of Business Economics.

Concepts: Production Possibility frontiers – Opportunity Cost – Accounting Profit and

Economic Profit – Incremental and Marginal Concepts – Time and Discounting Principles –

Concept of Efficiency

Unit II (17 Hrs)

Demand and Supply Functions: Meaning of Demand – Determinants and Distinctions of

demand – Law of Demand – Elasticity of Demand – Demand Forecasting – Supply concept and

Equilibrium. Consumer Behaviour: Law of Diminishing Marginal utility – Equi-marginal Utility

– Indifference Curve – Definition, Properties and equilibrium

Unit III (17 Hrs)

Production: Law of Variable Proportion – Laws of Returns to Scale – Producer’s

equilibrium – Economies of Scale. Cost Classification – Break Even Analysis. Product Pricing:

Price and Output Determination under Perfect Competition, Monopoly – Discriminating

monopoly – Monopolistic Competition – Oligopoly – Pricing objectives and Methods

Unit IV (17 Hrs)

DA16A02 ECONOMETRICS Category L T P Credit

Allied 86 5 - 5

Preamble

To introduce microeconomic and macroeconomic concepts.

To familiarize various economic theories.

To interpret and examine the monetary and fiscal policy.

Prerequisite

Basic knowledge in economics.

Course Outcomes

On the successful completion of the course, Students will demonstrate their knowledge of

the fundamental and technical concepts of economics and also students will be able to make

decisions wisely using cost-benefit analysis.

CO

Number CO Statement

Knowledge

Level

CO1 Determine and understand the various laws of economics K1

CO2 Discriminate different market structure and pricing policy K2

CO3 Interpret economic theories and policies K2, K3 Mapping with Programme Outcomes


CO1 S M L M L

CO2 S S M S S

CO3 S M M M M


National Income - Gross National Product -Net National Product - Measurement of

National Income - Consumptions, savings and investments. Theory of Employment- Type of

unemployment- Labour and Population theories- Definition of capital and growth of capital-

Steps in capital formation. Money - Definition and functions of money- Quantity theory of

money. Public Finance-Direct and indirect taxes - Principle of taxation-Effect of taxation on

production and distribution-Deficit financing system.

Unit V (17 Hrs)

Monetary and Fiscal Policies– measures of money stock – policy and money supply –

instruments of monetary policy – fiscal policy – the union budget – state budgets – finances of

the union and the states – the Finance commission – importance of the budget.

Text Book

Sl.

No. Author Name Title of the book Publisher

Year and

edition

1 Francis Cherunilam Business

Environment(Unit V)

Himalaya Publishing

House, Mumbai – 04.

2015 Revised

Edition

2 Shankaran S Business Economics

(Unit IV)

Margham Publications

Ch -17

2015 Revised

Edition

3 Sundharam KPM

Sundharam E N

Business Economics

(Unit I-IV)

Sultan Chand & Sons -

New Delhi – 02.

2015 Revised

Edition

Reference Books

Sl.

No. Author Name Title of the book Publisher

Year and

edition

1 Chaudhary C.M Business Economics RBSA Publishers - Jaipur -

03.

2015 Revised

Edition

2 Mehta P.L

Managerial

Economics–Analysis,

Problems & Cases

Sultan Chand & Sons -

New Delhi – 02.

2015 Revised

Edition

Pedagogy

Lecture, PPT, Quiz, Assignment, Seminar.

Course Designers

1. Dr.(Mrs).M. RajaRajeswari

2. Mrs.R.Shiji

Preamble

To enhance practical knowledge in Database Management using SQL, MongoDB &

WEKA

Course Outcomes

On the successful completion of the course, students will be able to analyse the data using query



CO1 S S L S S

CO2 S S M M S

CO3 S S L S S


1. Normalize the following dataset:

a) Employee database

b) Students database

c) Hospital database

2. Data Definition Language and Data Manipulation Language

Table: Student

Regno number (5) primary key

Studname varchar2 (15)

Gender char (6)

Deptname char (15)

Address char (25)

Percentage number (4, 2)

Queries:

a) To create a table, describe a table, alter a table, drop a table, and truncate a table

b) To insert values, retrieve records, update records, delete records

3. Create an Employee table with following field.

Eno number (5) primary key

Ename varchar2 (20) not null

Deptno number (2) not null

Desig char (10) not null

Sal number (9, 2) not null


PRACTICAL III – DATABASE

PROGRAMMING


Practical 42 - 3 1

CO

Number


Level

CO1 Enumerate and demonstrate the database in SQL, MONGODB, and

WEKA. K1

CO2 Construct data definition and data manipulation languages in SQL K2

CO3 Understand Mongo as a data store & be comfortable with Mongo's

query and update languages K3

Syllabus

Comm. Number (7, 2) null

Queries:

a) Insert values and display the records

b) Display sum, maximum amount of basic pay

c) List the name of the clerks working in the department 20

d) Display name that begins with ‘G’

e) List the names having ‘I’ as the second character

f) List the names of employees whose designation are ‘Analyst’ and ‘Salesman’

g) List the different designation available in the Employee table without duplication

(distinct)

4. Create a student table with the following fields

Stuno number (5) primary key

Stunm Varchar2 (20)

Age number (2)

Mark1 number (3)

Mark2 number (3)

Mark3 number (3)

Queries:

a) Insert values and display the records

b) List the names and age of the student whose age is more than 12

c) Display total and average of marks

d) Display the names of the maximum total & minimum total student

e) List the names of the student that ends with ‘A’

f) List the names of student whose names have exactly 5 characters

5. Create the table PAYROLL with the following fields and insert the values:

Emplno number (8)

Emplname varchar2 (8)

Dept varchar2 (10)

Baspay number (8, 2)

HRA number (6, 2)

DA number (6, 2)

Pf number (6, 2)

Netpay number (8, 2)

Queries:

a) Update the records to calculate the net pay.

b) Arrange the records of the employees in ascending order of their net pay.

c) Display the details of the employees whose department is "Sales".

d) Select the details of employees whose HRA>= 1000 and DA<=900.

e) Select the records in descending order.

6. Create a Table Publisher and Book with the following fields:

Table: publisher

Pubcode Varchar2 (5)

Pubname Varchar2 (10)

Pubcity Varchar2 (12)

PubState Varchar2 (10)

Bookcode Varchar2 (5)

Table: Book

Booktitle Varchar2 (15)

Bookcode Varchar2 (5)

Bookprice Varchar2 (5)

Queries:

a) Insert the records into the table publisher and book.

b) Describe the structure of the tables.

c) Show the details of the book with the title "DBMS".

d) Show the details of the book with price>300.

e) Show the details of the book with publisher name "Kalyani".

f) Select the book code, book title; publisher city is "Delhi".

g) Select the book code, book title and sort by book price.

h) Count the number of books of publisher starts with "Sultan chand".

i) Find the name of the publisher starting with "S".

7. Create Orders table and customers table with following fields:

Table: order

Orderid number (10)

Customerid number (5)

Orderdate date

Table: customers

Customerid number (5)

Custname varchar2 (10)

Contactname varchar2 (10)

Country varchar2 (10)

a) Perform INNER JOIN, that selects records that have matching values in both tables

b) Perform LEFT JOIN, that selects records that have matching values in both tables

c) Perform RIGHT JOIN, that selects records that have matching values in both tables

8. Create Customer Table and supplier table with following fields:

Table: Customer

cusid number(10)

FirstName varchar2 (10)

LastName varchar2 (10)

City varchar2 (10)


Phone number (10)

Table: Supplier

Supid number (10)

CompanyName varchar2 (10)

ContactName varchar2 (10)

City varchar2 (10)


Phone number (10)

Fax number (10)

a) Insert the records into the table customer and supplier.

b) Describe the structure of the tables.

c) List details of customer table and supplier table.

d) Perform full outer join from customer on supplier table order by country

MONGODB:

9. Create a Student Database in MongoDB using “use” Command.

10. Create program using crud operation using MongoDB.

11. Create program text search and indexes using MongoDB.

12. Create the replica set in the mongo shell and test the configuration

WEKA:

13. Demonstration of preprocessing on dataset student.arff

14. Demonstration of classification rule process on dataset employee.arff using id3 algorithm

15. Demonstration of clustering rule process on dataset student.arff using simple k-means

16. Demonstration of preprocessing on dataset labor.arff

Preamble

To introduce R Programming concepts and to develop programming skills in R

Programming

No prerequisite required. Course Outcomes



UNIT I (14 Hrs)

An overview of R: Introduction to R expressions, variables, and functions-

Vectors: Grouping values into vectors, then doing arithmetic and graphs with them- Matrices:

DA17C07 R PROGRAMMING


CORE 71 5 - 5

Prerequisite

CO

Number CO Statement

Knowledge

Level

CO1 Relate R Programming concepts with Datasets K1

CO2 Demonstrate data frames to perform data manipulations K2

CO3 Experiment with various quantitative analysis techniques K3


COs PO1 PO2 P03 P04 P05

CO1 S S M S S

CO2 S M S S M

CO3 M S S M M

Syllabus

http://tryr.codeschool.com/levels/2/challenges/1

Creating and graphing two-dimensional data sets- Calculating and plotting some basic statistics:

mean, median, and standard deviation- Factors: Creating and plotting categorized data.

UNIT II (15 Hrs)

Data Frames: Organizing values into data frames, loading frames from files and merging

them-Working With Real-World Data: Testing for correlation between data sets, linear models

and installing additional packages.

UNIT III (14 Hrs)

Data manipulations: Overview of how to connect database from R-How to run SQL

queries from R to fetch data- Data manipulation using SQL to prepare data for analysis.

UNIT IV (14 Hrs)

Reading and writing of csv file- Importing and exporting of data set-Merging of file

having same or different number of column-Reading a file involving date and converting this

date into different format- Plotting two series on one graph-one with a left y axis and another

with a right y axis-histogram-Multivariate Statistical Techniques like Discriminant Analysis,

Factor Analysis.

UNIT V (14 Hrs)

Formula notation and complex statistics: Analysis of Variance (ANOVA) - Manipulating

Data and Extracting Components: Creating data for complex analysis – summarizing data

Regression – Simple Linear Regression – Multiple Regression – Curvilinear Regression.

Text Books:

S.No Author Name

Title of the

Book Publisher

Year and

Edition

1. Study Material prepared by the department - Unit 1,2,3,4

2. Beginning R: The Statistical Programming

Language(Wrox)Unit - V

Dr. Mark

Gardener

John Wiley &

Sons, Inc.,

2016 revised

edition


S.No Author Name Title of the Book Publisher Year and Edition

1. The Art of R

Programming

Norman Matloff No Starch Press 2011 edition

2. The R Book Michael J. Crawle Wiley 2008 edition

3. Statistical Analysis with

R.

M. John Tata McGraw Hill

Publishing Co. Ltd

October 2010,

edition

4. Learning R Richard Cotton O'Reilly Media September 2013,

edition

5. Unit 1,3,4 – Tutorial point, Unit 2 – Code School


1. Dr. M. Rajeswari

2. S. Deepika

Pedagogy

Course Designers



Preamble

To equip knowledge on technical components of Business Intelligence

Course Outcomes


CO

Number


Level

CO1 Relate the marketing activities with theoretical marketing concepts K1

CO2 Recognize the marketing strategies, quantitative analysis and

optimization technique K2

CO3 Identify various modern marketing techniques & problem solving

techniques

K3



CO1 S S M M L

CO2 S M S S S

CO3 S M M M S


UNIT I (12 Hrs)

Introduction to Business Intelligence: Framework for Business Intelligence–Intelligence

Creation–Transaction Processing Versus Analytic Processing–Major Tools and Techniques of

BI.

UNIT II (12 Hrs)

Business Performance Management – Strategize – Plan – Monitor – Performance

Measurement – BPM Methodologies – Performance Dashboards and Scorecards.

UNIT III (12 Hrs) Text and web mining – text mining concepts and definitions – natural language

processing – text mining applications – text mining process – text mining tools – web mining

overview – web content mining and web structure mining – web usage mining – web mining

success stories

UNIT IV (12 Hrs)

Business Intelligence Implementation: Integration and Emerging Trends– Implement BI–

BI and Integration implementation – Connecting BI systems to Databases and other enterprise

systems

UNIT V (12 Hrs)

On-Demand BI–Issues of Legality, Privacy and Ethics–Emerging Topics in BI – the

web2.0 revolution – online social networking – virtual worlds – social networks and BI:

collaborative decision making – RFID and new BI application opportunities – reality mining

DA17C08 BUSINESS INTELLIGENCE Category L T P Credit

CORE 60 5 - 4

Syllabus

Text Book


Course Designers

1. S.Deepika

2. Dr.M.Rajeswari

To familiarize the students with the principles and practices of financial Management.

To understand the concepts of Financial Management and their application for

managerial decision making.



CO

Number CO Statement

Knowledge

Level

CO1 Define and identify the concepts of Financial Management K1

CO2 Understand Capital Structure, Cost of Capital for strategic Financial

Decision Making K2

CO3 Apply and practice the Theories for financial planning K3

Sl.No. Author Name Title of the book Publisher Year and edition

1 Efraim Turban

Ramesh Sharda

Dursun Delen

David King

Business Intelligence - A

Managerial Approach

Pearson 2012,2nd

Edition

2 Stuart Russel and

Peter Norvig

Artificial Intelligence: A

Modern Approach

Prentice

Hall

2009, 3rd

edition


1 Galit Shmueli

Nitin R. Patel

Peter C. Bruce

Data Mining for

Business

Intelligence

Wiley – India Pvt.

Ltd.,

Reprint 2011

Reference Book

CM16C09 PRINCIPLES OF FINANCIAL

MANAGEMENT


CORE 86 6 - 4

Preamble

Prerequisite

Course Outcomes


CO1 S S S S S

CO2 S M S S S

CO3 S S M S M


UNIT I (17 Hrs)

Business Finance-Meaning, Definition, Scope, Importance, Finance Functions, Fixed

and variable objectives of Financial Management-Factors influencing Financial Decisions-

Source of Capital-Financial Planning-Capitalization-Time Value of Money.

UNIT II (17 Hrs)

Capital Structure-Introduction-Importance-Financial Break Even Point-Point of

Indifference-Optimal Capital Structure-Risk Return Trade off-Theories of Capital Structure, NI,

NOI, MM, Arbitrage process-Factors Determining Capital Structure-Capital Gearing. Leverage-

Meaning, Types, Impacts, Significance and Limitation.

UNIT III (17 Hrs) Cost of Capital-Meaning-Significance-Classification of cost-Computation of cost of

capital-Cost of debt, Preference, Equity and Weighted average Cost of Capital.Capital

Budgeting-Meaning-Need-Importance-Kinds and process of Capital Budgeting Techniques of

Appraisal of Investment Proposal.

UNIT IV (18 Hrs) Working Capital Management - Meaning, Concepts, Classification, Importance,

Objects of working Capital-Factors determining the Working Capital Requirements-

Management of working capital-Methods of Estimating Working Capital Requirements. Cash

Management-Determining optimum cash balance.

UNIT V (17 Hrs)

*Receivables Management-Forming of credit policy. Inventory Management - Tools

and Techniques of Inventory Management.*

Dividend Policy - Factors Affecting Dividend -Types of Dividend -Advantages and

disadvantages of stable dividend policy -Theory of Relevance and Irrelevance - Bonus Issue -

Rights Issue.

*Theory Only Distribution of Marks Theory 40% Problems 60%.


Syllabus

Text Book

Sl.No. Author name Title of the book Publisher Year &Edition


1. Dr.(Mrs). S.Suma Devi

Preamble

To gain basic knowledge in the principles of management. Prerequisite


Course Outcomes


CO

Number


Level

CO1 Relate the basic concepts of management and ethics K1

CO2 Demonstrate the principles of management and ethics K2

CO3 Apply management principles and ethics in managerial environment K3



CO1 S S L M M

1 Shashi .K.Gupta Sharma

R.K

Financial

Management

Kalyani

Publishers

2014, 7th

Edition

Reference Books

Sl.No. Author name Title of the book Publisher Year &Edition

1 Khan&Jain Financial Management Tata McGraw Hill 2017,6th

Edition

2 Maheshwari S.N Financial Management Sultan Chand &

Sons

2013,14th

Edition

3 Pandey I.M Financial Management Vikaspublishing

House Ltd

2013, Reprint

4 Prasanna Chandra Financial Management TataMcGrawHill 2017, 4th

Edition

Pedagogy

Course Designers

AF17A03 BUSINESS MANAGEMENT AND ETHICS Category L T P Credit

Core 86 5 - 5

CO2 S S S L L

CO3 S S S S S


UNIT I (18 Hrs)

Management – Definition - Nature and Scope - Functions-Contributions by Henry Fayol, FW

Taylor, Peter F Drucker, McGregor - Management as a Science, Art, Profession - Management and

Administration - Principles of Management – Planning - Meaning – Nature – Importance - purpose

of planning - planning process - Methods and Types of Plans - Advantages and Limitations

UNIT II (17 Hrs)

Decision Making - Steps in Decision Making. Organization – Meaning - Nature and Importance -

Process of Organization – Structure - Departmentation – Delegation – Centralization –

Decentralization – Authority - Responsibility Relationship - Line, Line & Staff – Functional - Span

of Control - Charts and Manuals - MBO & MBE – Group Dynamics and Organizational Climate

UNIT III (17 Hrs)

Leadership – Meaning – Importance - Functions Of Leadership - Leadership Styles - Qualities Of

A Good Leader – Motivation – Meaning - Need For Motivation - Theories Of Motivation -

Maslow, X, Y,Z Theory, Hygiene Theory.

UNIT IV (17 Hrs)

Coordination – Meaning – Definition – Principles - Advantages And Disadvantages – Control –

Meaning – Importance - Process & Techniques Of Control.

UNIT V (17 Hrs)

Business Ethics: Ethics – Meaning, Importance, Nature and Relevance – Values And Attitudes of

Professional Accountants - Seven Principles of Public – Ethics In Business

Text Books:


edition

1 DinkarPagre Principles of

Management(Unit I – III)

Sultan Chand &

Sons, New Delhi

2009,5th

edition

2 Rajendra Pal

&Korlahalli J.S

Essentials of Business

Communication(Unit IV ,V)

Sultan Chand &

Sons, New Delhi

2008,11th

edition



edition

1 Bhushan Y.K Business Organization and

Management

Sultan Chand &

Sons

2009,5th

edition

2 JainV.K

Omprakash

Biyani

Business Communication Sultan Chand &

Company Ltd, New

Delhi

2009,1st

edition

3 Koontz and

O’Donnel

Principles of Management TataMcGraw Hill 2009,6th

edition

4 Pillai R.S.N

&Bagavathi

Modern Commercial

Correspondence

Sultan Chand & Co

Ltd, New Delhi

2008, 3rd

edition

Course Designers

1. Mrs. M. RajaRajeswari

2. Mrs. D. Sujini

Preambel

To emphasize on the importance of marketing as a strategy for market segmentation and for

establishing a market share

To highlight the role of advertising and personal selling for increased turnover and

profitability Prerequisite

No prerequisite Knowledge required Course Outcomes


CO

Number CO Statement

Knowledge

Level

CO1 Describe the Objectives, Functions of Market and Marketing K1

CO2 Interpret about Marketing Mix and Consumer behavior K2

CO3 Experiment the Consumerism & New approaches in marketing K3



CO1 S S S S M

CO2 S S S S M

CO3 S S S S M

S- Strong; M-Medium; L-Low Syllabus

UNIT I: 17 Hrs

Marketing-Definition of Market & Marketing–Classifications of Markets-Marketing &

Selling-Objectives & Importance of Marketing – Modern Marketing Concept.

UNIT II: 17 Hrs

Marketing Functions-Marketing Process-Classification-Functions of Exchange-Physical

Supply-Facilitating Functions-Standardization and Grading -AGMARK-BIS/ISI

UNIT III: 18 Hrs Market Mix-Product Mix- Price mix-Market Segmentation-Promotion Mix-Advertising and

Personal Selling-Physical Distribution Mix-Functions-Types of Middlemen

AF17A04 PRINCIPLES OF MARKETING Category L T P Credit

Core 86 5 - 5

UNIT IV: 17 Hrs

Consumer Behavior-Meaning- Need for Studying Consumer Behavior- Factors Influencing

Consumer Behavior- Buyers Decision Making Process.

UNIT V: 17 Hrs

Consumerism-Need for Consumer Protection-Consumer Protection Act-Features-

Competition Act-Commission Act-RTI Act- Unfair and Restricted Trade Practices-New

Approaches in Marketing-Web-Based Marketing-E-Marketing-E-Retailing- Multi Level

Marketing- Tele Marketing – Plano gram.

Text Book

Sl.No. Author Name Title of the

book

Publisher Year and edition

1 Rajan N, Nair,

Sanjith, Nair R

Marketing Sultan Chand

&sons

2012 7th

edition

Reference Books

Sl.No. Author Name Title of the

book

Publisher Year and edition

1 Chandrasekaran K.S Marketing

Management

The McGraw Hill

companies

2010 , 1st edition

2 Pillai R.S.N and

Bhagavathi

Modern

Marketing

Principles and

Practice

Sultan Chand, New

Delhi

2010, 14th

edition

Pedagogy


1. D.Sujini

2. D. Sujaritha

Preamble

To explore and acquire skills in SPSS and R Programming

Prerequisite

Basic knowledge of Computers

Course Outcomes


CO

Number


Level

CO1 Understand the fundamental programming concepts of R K1

CO2 Application of SPSS and R Statistical tools to problems K2

CO3 Relate analysis techniques to data sets K3

Course Designers

DA17CP4

COMPUTER APPLICATION

PRACTICAL IV –ANALYSIS

WITH SPSS & R


PRACTICAL 57 - 4 3



CO1 S S L M M

CO2 S M M S M

CO3 S M L M S


1. Find Factorial of a number using recursion

2. Write program to calculate Multiplication Table using R

3. Check if a Number is Positive, Negative or Zero

4. Creating vector and matrices using R program.

5. Import and Visualize data using scatter plots

6. Logical statements, cbind/rbind command in R and Create dataset using dataframes and

factors and plot a graph. R and SPSS

7) Create an SPSS and R Dataset and determine the number of 18-22 year old population in 2000, 2004

and 2005

8) The data below are about the number of tourists in Hungary between 1988 and 1994.

Syllabus

PARTICULARS 2000 2004 2005

UNIVERSITY

STUDENT

47498 66309 70153

NUMBER OF

TEACHERS

17302 19103 18098

NUMBER OF

INSTITUTIONS

77 91 90

NUMBER OF

STUDENTS IN THE %

OF THE

18-22 YEAR-OLD

POPULATION

10.4 13.9 15

a) Is there any trend in this model? (Normality test)

b) Create a graph from the time series!

c) Which seasonal decomposition should you use? Why?

d) Do a seasonal decomposition! Analyze the parameters and the seasonal factors!

e) Create graphs from the seasonal factors (saf_1, sas_1, stc_1)!

f) Determine the number of tourists for the 2nd, 3rd and 4th quarter of 1993!

9) Open the Employee_data.sav file! and analyse the following in SPSS and R

Transform / Select Data

a) What is the proportion of custodials?

b) What is the proportion of women within managers?

Graphs

Create a column diagram about the proportion of employees grouped by gender!

Embellish the graph! Put the value of proportions into the chart!

a) Transform this column diagram into a pie chart!

b) Create a scatter plot about month since hire and beginning salary if you set markers by gender!

Embellish the graph!

c) Create a scatter plot about month since hire and previous experience if you set markers by

employment category! Embellish the graph!

d) Define simple box plot about previous experience! Embellish the graph!

e) Define simple box plot about the month since hire categorized by the employment category!

Embellish the graph!

f) Define box plot about the previous experience categorized by the employment category clustered

by gender! Embellish the graph!

g) Create a graph to test the normal distribution of beginning salary!

Central Tendencies, Measures of Distribution, Measures of Asymmetry

a) Define the central tendencies of month since hire!

b) Define the characteristics of distribution of previous experience!

c) What is the average salary of employees belonging to the minority?

Correlation and Linear Regression

Is there any relation between previous experience and month since hire?

b) Determine a linear relation between the month since hire and previous experience of employees!

c) Define a 90% confidence interval for its b0 and b1 parameters!

d) Define a 90% confidence interval for the y variable!

E )Open the Cars.sav file!

Transform / Select Data a)How old are the cars? Create a new variable as age!

b) What is the ratio of American, European and Japanese cars within cars with higher consumption

than 20 miles per gallon?

c) What is the ratio of those American cars which have 4-6-8 cylinders?

10. Estimation and Hypothesis Testing

a)Define a 95% confidence interval for the vehicle weight!

b) Define a 90% confidence interval for the horsepower!

c) Define a 98% confidence interval for the time to accelerate!

d) Test the hypothesis that the average consumption of cars is 20 miles per gallon! (α =

5%)

e) Use One Sample T Test to determine whether or not the average miles per gallon

significantly differ from 24 at 10% significance level!

f) Test the hypothesis that the average horsepower of cars is 100! (α = 5%)

g) Test the hypothesis that the average consumption of Japanese and American cars is the

same! (α = 5%)

h) Test the hypothesis that the average consumption of European and American cars is

the same! (α = 10%)

i) Check if the horsepower follows a normal distribution or not!

Statistical Dependence

a) Create a crosstabs from the model year and the country of origin!

b) Create a crosstabs from the number of cylinders and the country of origin!

c) Is there any relationship between the country of origin and engine displacement?

d) Is there any relationship between the country of origin and horsepower?

e) Is there any relationship between the country of origin and vehicle weight?


1. Dr.M.Rajeswari

2. Mrs. S. Deepika

SKILL BASED SUBJECT

Sem Sub code Title of paper Hrs/w

eek

Durat

ion

CIA ES

E

Total Cre

dits

III &

IV

SB17TA01

Technological Analytics -

Java & Linux

Fundamentals

2 2 25 75 100 4

III &

IV

SB17TAP1 Technological Analytics -

Java & Linux

Fundamentals

1 2 40 60 100 2

Pedagogy

Course Designers

SBS - TECHNOLOGICAL ANALYTICS

JAVA & LINUX FUNDAMENTALS

Objectives:

This course introduces various tools and techniques commonly used by Linux programmers,

system administrators and end users to achieve their day to day work in Linux environment. It is

designed for computer students who have limited or no previous exposure to Linux.

SYLLABUS

Unit - I: C++ Vs JAVA,JAVA and Internet and WWW, JAVA support systems, JAVA

environment. JAVA program structure,Tokens, Statements, JAVA virtual machine, Constant &

Variables, Data Types, Declaration of Variables, Scope of Variables, Symbolic Constants, Type

Casting. Operators : Arithmetic, Relational, Logical Assignments, Increment and Decrement,

Conditional, Bitwise, Special, Expressions & its evaluation. If statement, if…else… statement,

Nesting of if…else… statements, else…if Ladder, Switch, ? operators, Loops – While, Do, For,

Jumps in Loops, Labeled Loops.

Unit - II: Defining a Class, Adding Variables and Methods, Creating Objects, Accessing Class

Members, Constructors, Methods Overloading, Static Members, Nesting of Methods.

Inheritance: Extending a Class, Overriding Methods, Final Variables and Methods, Final

Classes, Finalize Methods, Abstract methods and Classes, Visibility Control.

Unit - III: Arrays: One Dimensional & two Dimensional, strings, Vectors, wrapper Classes,

Defining Interface Extending Interface, Implementing Interface, Accessing Interface Variable,

System Packages, Using System Package, Adding a Class to a Package, Hiding Classes.

Unit - IV: Packages - Creating Threads, Extending the Threads Class, Stopping and Blocking a

Thread, Life Cycle of a Thread, Using Thread Methods, Thread Exceptions, Thread Priority,

Synchronization, Implementing the Runnable Interface.

UNIT V: Linux Basics: Introduction to Linux, Managing Files and Directories: File System of

the Linux, File Compression and Archiving. Managing Directories: Creating Directories,

Deleting Directories, Dot Directories. General usage of Linux kernel & basic commands: Shell

Prompt Terms, Opening and using a Shell Prompt, pwd, ls, cp, mv, head Command, tail

Command, cat, grep, chmod

TEXT BOOKS:

1. E. Balaguruswamy, “Programming In Java”, 2nd Edition, TMH Publications ISBN

2. Red Hat Enterprise Linux 4: System Administration Guide Copyright, 2005 Red Hat, Inc

& REFERENCE BOOKS:

1. Peter Norton, “Peter Norton Guide To Java Programming”, Techmedia Publications

Course Designers

1. S. Deepika

2. Dr.M.Rajeswari

SBS - TECHNOLOGICAL ANALYTICS

JAVA & LINUX FUNDAMENTALS

LAB PRACTICALS

Java

1. Write a program to find the largest of n natural numbers.

2. Write a program to find whether a given number is prime or not.

3. Write program to display Fibonacci series

4. Write a program to create an array of 10 integers. Accept values from the user in that

array. Input another number from the user and find out how many numbers are equal to

the number passed, how many are greater and how many are less than the number passed.

5. Write java program for the following matrix operations:

a. Addition of two matrices

b. Summation of two matrices

c. Transpose of a matrix

d. Input the elements of matrices from user.

6. Write a java program that computes the area of a circle, rectangle and a Cylinder using

function overloading.

7. Write a Java program for the implementation of multiple inheritance using interfaces to

calculate the area of a rectangle and triangle.

8. Write a program for the following string operations: a. Compare two strings b.

Concatenate two strings c. Compute length of a string

Linux

9. Execution of various file/directory handling commands.

10. Simple shell script for basic arithmetic and logical calculations.

11. Shell scripts to perform various operations on given strings.

12. Shell scripts to explore system variables such as PATH, HOME etc.

13. Write a shell script to display list of users currently logged in.

14. Write a shell script to search an element from an array using binary searching.

15. Write a shell script to generate mark sheet of a student. Take 3 subjects, calculate and

display total marks, percentage and Class obtained by the student

JOB ORIENTED COURSE

BUSINESS VISUALISATION ANALYSIS

SUBJECT CODE – JOB1648

Hours: 60

Objectives:

To instruct theoretical and practical knowledge in business visualization softwares

UNIT I

Tableau: Introduction and Getting Started: Tableau Desktop’s role in the Tableau

product line – Application terminology – Tableau Packaged Workbooks – Publishing to Tableau

Server (Web) – Publishing to Tableau Reader – Publishing to Tableau Public – Publishing to

PDF. Best Practices in Connecting to Data: Working with Meta data – Data source changes –

Overview of other connection options. Working with Data: Filtering your data – Sorting –

Building groups – Building hierarchies – Sets

UNIT II Building Visualizations: Building Bar Charts – Building Text Tables – Building Line Charts –

Building Scatter Plots – Building Heat Maps – Building Gantt Bar Charts – Building Pie Charts –

Building Tree maps – Building Box Plots – Building Packed Bubble Charts – Building Map Views.

Building Dashboards: Overview of dashboards – Building your first dashboard

UNIT III

Power BI: Introducing Power BI - What is Power BI?- The parts of Power BI - The flow

of work in Power BI- Using Power BI - The building blocks of Power BI – Visualizations –

Datasets – Reports - A quick look at the Power BI service - Create out-of-the-box dashboards

with cloud services - Refreshing data in the Power BI service.

UNIT IV

Connect to data: Data sources in Power BI Desktop - Connect to data in Power BI

Desktop - Connect to datasets in the Power BI service from Power BI Desktop - Import Excel

workbooks into Power BI Desktop - Connect to data using generic interfaces in Power BI

Desktop - Connect to an Oracle database - Run R scripts in Power BI Desktop - Connect to CSV

files in Power BI Desktop.

UNIT V

Spark Overview: Features of Apache Spark, Apache Spark Components, Spark Clusters

and Files - RDD Fundamentals: Purpose and Structure of RDDs, Transformations, Actions, and

DAG - Spark SQL: Spark SQL and DataFrame Uses, DataFrame / SQL APIs, Jobs, Stages, and

Tasks, Partitions and Shuffles, Data Locality - Spark Streaming: Streaming Sources and Tasks,

DStream APIs and Stateful Streams, Reliability and Fault Recovery - Spark Streaming: Basic

Principles of Machine Learning,classification, regression, clustering, collaborative filtering,

dimensionality reduction.

Text Books:

Sl.No. Author Name Title of the Book Publisher Name Year & Edition

1. Joshua N. Milligan.

Unit I & II

Learning Tableau - How

Data Visualization

Brings Business

Intelligence to Life

Packt Publishing Revised Edition

2. Power BI : Study Material Prepared by Department Unit III – IV

3. Spark : Study Material Prepared by Department Unit V

Reference Books:

Sl.No. Author Name Title of the Book Publisher Name Year &

Edition

1. George Peck Tableau 8: The Official

Guide

McGraw Hill

Education

Revised Edition

PRACTICAL – BUSINESS VISUALISATION ANALYSIS

Tableau

1. Creating or modify a schedule

2. Publishing data in Tableau

3. Working with data, filter, sorting

4. Data visualization using charts and scatter plots

5. Report generation in Tableau

Power BI:

6. Sales and Marketing sample for Power BI

7. Customer Profitability sample for Power BI

8. Human Resources sample for Power BI

9. Supplier Quality Analysis sample for Power BI

Spark

10. Creating RDDs from Data Files, Reshaping Data to Add Structure, Interactive Queries

Using RDDs

11. Creating DataFrames, Query with DataFrame API and SQL, Caching and Re-using

DataFrames, Generating Graphics and Reports

12. Creating DStreams from Sources,Operating on DStream Data, Viewing Streaming Jobs

in the Web UI

To introduce Python concepts and to develop programming skills in Python

Programming

Prerequisite


Course Outcomes




CO1 S S M S S

CO2 S M S S M

CO3 M S S M M


Unit I(DL 11 Hrs)

Installing Python- Your First Python Program – Native Data Types: Boolean-Numbers-

Lists-Tuples-Sets- Dictionaries. Comprehension: Working with files and dictionaries-List

Comprehensions-Dictionary Comprehensions- Set Comprehension.

Unit II(DL 12 Hrs)

Pandas – Series and Dataframes – DataFrames and Data wrangling – Visualisation –

Plotting – Histograms – Grouping Data – Time series and Statistics - Visualisation in Python- I

Python - NumPyBasics:Arrays - Vectorized Computation

Unit III(DL 12 Hrs)

Strings: Unicode – Diving in – Formatting Strings – Compound Field Names – Format

Specifier – Other common string methods – Slicing a string – Strings versus bytes – Charater

encoding of python source code. Regular expression- closure and generators – classes and

iterators – Advanced iterators.

Unit IV(DL 12 Hrs)

Unit test - Refactoring: Handling changing requirements – Refactoring. Files: Reading

from text files – Writing to text files – Binary files – Streams objects from non file sources –

standard input, output and error. XML: Parsing XML, Elements are lists, attributes are

dictionaries, Generating XML, Parsing broken XML.

Unit V(DL 11 Hrs)

Serializing Python Objects- HTTP web services: Features of HTTP, How not to fetch data

over HTTP, Beyond HTTP GET, Beyond HTTP POST. Packaging python libraries:

Dictionary Structures – Classifying your package – Checking your setup script from error –

creating a source distribution – creating a graphical installer.

DA17C10

PYTHON


CORE 71 4 - 4

CO

Number CO Statement

Knowledge

Level

CO1 Relate Python concepts with Datasets K1

CO2 Recognize algorithms and Pandas K2

CO3 Identify various quantitative analysis techniques K3

Text Book:


Edition

1 Mark Pilgrim Dive into Python3-Unit 2 Apress Revised

Edition

2 Phuong Vo. T.

H., Martin

Czygan

Getting started with Python Data

Analysis-Unit 1,3,4,5

Packt

Publishing

2011



edition

1 Allen Downey Think Python Green Tea

Press

Needham,

Massachusetts

Revised

Edition

Pedagogy


Course Designers

1. Dr.M.Rajeswari

Preamble

To provide the fundamental knowledge and techniques in Management Accounting

To apply the tools and techniques used to plan, control and make decisions

To learn the Budgetary control procedures, reporting of organizational performance and

calculation of variances

Prerequisite

Basic Knowledge in Financial Statements

Course Outcomes

On the successful completion of the course, students will be able to prepare and present

information for management decision making and control process

CO

Number


Level

CO1 Find and Apply tools and techniques used to plan, control and make

decision K1, K3

CM16C11 MANAGEMENT ACCOUNTING Category L T P Credit

Core 71 5 - 4

CO2 Prepare budgets and demonstrate budget control techniques K2, K3

CO3 Illustrate and Build the knowledge of break-even analysis and profit

maximization K2,K3



CO1 S S S S S

CO2 S S S S S

CO3 S S S S S


Syllabus

UNIT I (14 Hrs)

Management Accounting- Meaning, Objectives & Scope - Need and Significance -

Relationship between Management Accounting, Cost Accounting & Financial Accounting.

Financial Statement and their importance- Tools for Analysis and Interpretation- Common Size

Statements, Comparative statement and Trend Analysis

UNIT II (14 Hrs)

Ratio Analysis - Significance of Ratios - Ratios for Long term and Short term - Financial

Position – Profitability, Liquidity - Uses and Limitations of Ratios

UNIT III (14 Hrs)

Fund Flow & Cash Flow Analysis – AS 3

UNIT IV (14 Hrs)

Budgeting and Budgetary Control - Definition, Importance, Essentials and

Classification of Budgets, Master Budget, Preparation of Different Budgets - Budgetary control-

Steps in Budgetary Control – Zero Base Budgeting.

UNIT V (15 Hrs)

Marginal Costing - CVP Analysis and Break-Even Analysis, Managerial Applications

of Marginal Costing including transfer pricing - Significance and limitations of Marginal

Costing. Standard Costing - Meaning- suitability as a management tool- limitation- Variance

Analysis - Material and Labour Variances only

Distribution of Marks Theory 20% and Problems 80%

Text Book:

Sl.No. Author Name Title of the book Publishers Year and

Edition

1 Sharma R.K

Sashi K.Gupta

Neeti Gupta

Management Accounting Kalyani Publishers Reprinted

2016, IV

edition


Sl.No. Author Name Title of the book Publishers Year and

Edition

1 Jain and Narang Cost and Management

Accounting

Kalyani Publishers 2013, 21st

Edition

2 Maheswari S.N Management Accounting Sultan Chand and

Sons

2013,

Reprint

3 Reddy T.S and

Reddy H.P

Management Accounting Margham

Publications

2013, VIII

Edition

Pedagogy


Course Designers

1. Dr.G.Kavitha – Department of Commerce

2. Dr.S.Sujatha - Department of Commerce

Preamble

To state the laws relating to income tax and procedures.

To equip the students with revised provisions of The Income Tax Act of 1961.

To lay down a foundation for computing gross total income, rebate and the total tax

liability of an individual.

Prerequisite

Basic knowledge in accountancy and tax related concepts

Course Outcomes


CO

Number


Level

CO1 Examine the basic concepts of schedule of rates of tax, tax liability,

penalties and prosecution K1

CO2 Explain the total taxable income of an assessee K2

CO3 Apply and practice the computation of total income K3



CO1 S S L L L

CO2 S S L M M

CO3 S M M L L


Syllabus

UNIT I (17 Hrs)

The Income Tax Act - Definition of Income - Assessment Year - Previous Year -

Assessee – Types of Assessee - Scope of Income - Charge of Tax - Residential Status –

Exempted Incomes- Incomes which do not Form Part of Total Income - Tax Rates.

UNIT II (18 Hrs)

Computation of Income from salaries – annual accretion – allowances, perquisites and

their types and treatment – Profits in lieu of salary and exempted profits – Deductions U/S 16

UNIT III (17 Hrs)

CM16C12 INCOME TAX Category L T P Credit

Core 86 6 - 4

Income from House property – Determination of Annual value – Deductions out of

annual value - Profits and Gains of Business or Profession - Meaning of Business or Profession -

Computation of Profits and Gains of Business or Profession of an Individual- Expenses

Expressly Allowed -Expenses Expressly Disallowed.

UNIT IV (17 Hrs)

Income from Capital Gains - Computation of Capital Gains-Income from Other Sources -

Computation of Income from Other Sources.

UNIT V (17 Hrs)

Set off and Carry Forward Set off losses – Deductions to be made in computing Total

Income – Computation of Gross Total Income - Assessment of Individuals. Introduction to e-

Filing.

Note: 20% theory and 80% problems

Text Book


1. Gaur V.P. and

Narang D.B.

Income Tax and Practice Kalyani Publishers Current Edition

Reference Books


1. Dinkar Pagare Income Tax and

Practice

Sultan chand &

Sons

Current Edition

2. Mehrothra Income Tax and

Practice

Sultan chand &

Sons

Current Edition

Pedagogy


Course Designers

1. Dr.L.Nithya – Department of Commerce (e-com & SF)

2. Dr.P.Aiswarya – Department of Commerce (e-com & SF)

Preamble

To enable the students to know the functioning of Indian financial markets and

institutions

Prerequisite

No prerequisite knowledge required.

Course Outcomes


CO

Number


Level

CO1 Relate the concepts of instruments and role of agents in financial

markets K1

AF16E01 FINANCIAL MARKETS &

INSTITUTIONS


Elective 86 6 - 4

CO2 Interpret and Analyze the degree of risk for its effective management K2

CO3 Organize the investment opportunities based on the relevance of

financial institutions K2,K3



CO1 S S M L S

CO2 S M L L S

CO3 S S S S S


Syllabus

UNIT I (14 Hrs)

Indian Financial System: Financial Market - Meaning - Need and Objectives. Functions

- Classifications of Financial Market. Capital Market: Role of Capital Markets - Functions -

Capital market instruments - Recent Trends in capital market in India – Money Market: Money

market instruments.

UNIT II (14 Hrs)

New issue market - Secondary market. Stock Exchange - Objectives - Functions. SEBI:

Role and Powers of SEBI. Recent Trends and developments in Security Market - OTCEI - NSE -

BSE -Achievements - Guidelines - DEMAT - Objectives – Importance

UNIT III (15 Hrs) Investment Institutions in India: UTI - ICICI - IDBI - IFCI - SFC. Commercial Banks -

Role and functions - Central Bank - Objectives and Functions - Insurance Companies –History

and Development of Insurance Companies - kinds of Insurance - IRDA - Powers and Functions –

Debt Market - Types of Bonds.

UNIT IV (14 Hrs) Mutual Fund - Meaning, Definition – Advantages – Types - Mutual Fund Products -

Performance of Mutual Fund - Role of Mutual Fund Sector - SEBI Regulations on Issue of

Mutual Fund - Recent Developments in Mutual Fund. Credit Rating - Features – Advantages -

CRISIL & ICRA - Domestic and Global Credit Rating Agencies.

UNIT V (14 Hrs)

Derivatives – Meaning – Definition – Importance - Kinds of Financial Derivatives –

Forwards –Features - financial forward - Futures - Types of Futures – Options – Types –

Benefits – Swap –Kinds - Derivatives in India – Securitization – Definition - Mechanism of

Securitization – Securitization in India

Text Books


edition

1 Varshney P.N. &

Mittal D. K.

Indian Financial System Sultan Chand &

Sons

2014 edition

Reference Books


edition

1 Avadhani V.A Marketing of

Financial Services

Himalaya Publishing

House

3rd

edition 2017

2 Gordan E,

Natarajan K

Financial markets

and services

Himalaya Publishing

House

10th

edition2018

3 Dr. Gurusamy S Financial markets and

Institutions

Tata McGraw Hill

Publishing co.Ltd

2015 Edition

Pedagogy


Course Designers

1. Mrs. M. Uma

2. Mrs. D. Sujaritha

Preamble

To enable the students to learn principles and concepts of Business.

To provide a theoretical knowledge about the process of decision making with models of

business.

Prerequisite

No prerequisite Knowledge required

Course Outcomes




CO1 S S S S M

CO2 S S S S M

CO3 S S S S M


Syllabus

UNIT – I (14 Hrs)

Meaning of Business – Entrepreneur (Meaning, Characteristics of an entrepreneur)-

Enterprise- a business venture- Business idea and opportunity- Examining some business ideas

in agriculture, agro-based enterprises, general trade (including shops), manufacturing products

and services (including hotels) and their unique features by incorporating outsourcing.

DA16E02 BUSINESS ORGANISATION AND MODELS Category L T P Credit

Core 86 6 - 5

CO

Number CO Statement

Knowledge

Level

CO1 Enumerate the basic ideas of Business K1

CO2 Indicate the Preparation method of business models.

K2

CO3 Interpret procedural aspects in the various models of business K3

UNIT – II (14 Hrs)

Preparing a Business Plan – Retail selling grocery shop; a textiles selling shop; any other

consumer goods selling business; a small scale manufacturing unit –Printing Press-Electrical and

Electronic goods dealership. Contract works as business - Estimating the returns or profits-

Preparing a conceptual and graphic model.

UNIT – III (15 Hrs)

Financing model for a business: Sources for a small business- owned capital, friends and

relatives; banks; government sources; suppliers and customers; interest and other costs and the

terms and conditions attached to such sources and investing the finance in assets-The working

capital cycle.

UNIT – IV (14 Hrs) Marketing and Selling models- Advertising and soliciting customers, customer

relationship; Quality assurance; Pricing Methods; Competition and strategies in facing the

competition.

UNIT – V (14 Hrs)

Models for Managing the human resources in the business- recruitment, training,

employee productivity and compensation; Building up organizational procedures and

commitment, loyalty.

Text Books

Sl.No Author Name Title of the Book Publisher Year and

edition

1 Y.K.Bhushan Business Organisation and

Management

Sultanchand &

sons

2012 edition

2 C.B. Gupta Business Organisation and

Management

Mayur Paperbacks

2011 edition

3 S.A. Sherlekar

Modern Business

Organisation and

Management- A System

Approach

Himalaya 2010 edition

4 Rashmi Bansal Take Me Home: The

Inspiring Stories of 20

Entrepreneurs

Westlands. 2014 edition

Reference Books

Sl.

No Author Name Title of the Book Publisher Year and edition

1 R.K.Chopra Office Management Himalaya

Publishing House

2014 edition

2 Peter F.Drucker Innovative

Entrepreneurship

Harper Business Reprint Ed. 2006

3 Peter Theil Zero to One: Note on

Start- ups or How to

build the future

Crown Business 2014 edition

4 Sangram Keshari

Mohanty

Fundamentals of

Entrepreneurship

PHI 2005 edition

5 Alexander

Osterwandler

Business Model

Generation

Crown Business 2014 editon

Pedagogy


Course Designers

1. Mrs. M. Uma

2. Mrs. R.Shiji

Preamble

To explore and acquire skills in Python Programming

Prerequisite


Course Outcomes


CO

Number


Level

CO4. Relate statistical calculations K1

CO5. Describe pandas K2

CO6. Apply plotting graphs K3



CO4. S

S L M L

CO5. S

M M S M

CO6. S M L

M L


Syllabus

1. Word frequency analysis

Exercise 1.1. Write a program that reads a file, breaks each line into words, strips whitespace

and punctuation from the words, and converts them to lowercase.

Exercise 1.2. Go to Project Gutenberg (http: // gutenberg. org ) and download your favorite

out-of-copyright book in plain text format. Modify your program from the previous exercise

to read the book you downloaded, skip over the header information at the beginning of the

file, and process the rest of the words as before.

DA17CP5 COMPUTE APPLICATION

PRACTICAL V - PYTHON


PRACTICAL 42 - 4 2

Then modify the program to count the total number of words in the book, and the number of

times each word is used. Print the number of different words used in the book. Compare

different books by different authors, written in different eras. Which author uses the most

extensive vocabulary?

Exercise 1.3. Modify the program from the previous exercise to print the 20 most frequently-

used words in the book.

Exercise 1.4. Modify the previous program to read a word list (see Section 9.1) and then

print all the words in the book that are not in the word list. How many of them are typos?

How many of them are common words that should be in the word list, and how many of

them are really obscure?

2. Random numbers

Exercise 2.1. Write a function named choose_from_hist that takes a histogram as defined in

and returns a random value from the histogram, chosen with probability in proportion to

frequency.

3. Word histogram

Exercise 3.1.reads a file and builds a histogram of the words in the file

Exercise 3.2.reads emma.txt, which contains the text of Emma by Jane Austen.

Exercise 3.3.updates the histogram by creating a new item or incrementing an existing one.

Exercise 3.4.count the total number of words in the file by add up the frequencies in the

histogram.

4. Most common words

Exercise 4.1.find the most common words by applying the DSU pattern; most_common

takes a histogram and returns a list of word-frequency tuples, sorted in reverse order by

frequency

Exercise 4.2.prints the ten most common words

5. Optional parameters

Exercise 5.1.prints the most common words in a histogram

6. Dictionary subtraction

Exercise 6.1. Python provides a data structure called set that provides many common set

operations.Read the documentation at http: // docs. python. org/ 2/ library/ stdtypes.

html#types-set and

Exercise 6.2.Write a program that uses set subtraction to find words in the book that are not

in the word list.

Solution: http: // thinkpython. com/ code/ analyze_ book2. py .

7. Random words

Exercise 7.2: Use keys to get a list of the words in the book, Build a list that contains the

cumulative sum of the word frequencies. The last item in this list is the total number of words

in the book, n, Choose a random number from 1 to n. Use a bisection search to find the index

where the random number would be inserted in the cumulative sum, Use the index to find the

corresponding word in the word list.

Exercise 7.2. Write a program that uses this algorithm to choose a random word from the

book.

Solution: http:// thinkpython. com/ code/ analyze_ book3. py .

8. Markov analysis

read a text from a file and perform Markov analysis

Add a function to the previous program to generate random text based on the Markov

analysis.

Finally mashup:

Solution:http://thinkpython.com/code/markov.py. You will also need

http://thinkpython.com/code/emma.txt.

9. docstrings for polygon, arc and circle.

Draw a stack diagram that shows the state of the program while executing circle(bob,radius).

Solution: http: // thinkpython. com/ code/polygon. py .

10. Draws an Archimedian spiral.

Read about spirals at http: // en. wikipedia. org/ wiki/ Spiral, then (or one of the other kinds).

Solution: http:// thinkpython. com/ code/ spiral. py .

Pedagogy


Course Designers

Dr.M.Rajeswari

Semester : V of UG programme / III of PG programme

Title : Information Security (Level II)* NM13IS2

Credits :2 Lecture Hours: 26

Objective

This course aims on introducing the theory and practice of designing and building secure

computer systems that protect information and resist attacks. It covers all aspects of cyber

security including network security, computer security and information security.

UNIT I (5HRS)

Information security: History of IS-What is security?-characteristic of IS-components of I

system –security system life cycle model.

UNIT II (6HRS)

Cryptography: Concepts and techniques- plain text and cipher text- Encryption

principles- Cryptanalysis-cryptograph algorithm- Cryptograph tools Authentication methods-

passwords-keys versus passwords-Attacking Systems via passwords-Password verification

UNIT III (5HRS)

Fire walls: Viruses and worms- Digital rights management--What is firewalls- Types of

Fire wall-Design Principles of Firewall

UNIT IV (5HRS)

Hacking: Hacker hierarchy-password cracking-Phishing- Network Hacking- Wireless

hacking.-Windows hacking- Web hacking- Ethical hacking

UNIT V (5 Hrs)

Case studies: DNS, IP SEC- Social media

Applicable to

*B.Sc Mathematics & B. sc & M. Sc Physics have the option to choose any of the courses- level

1/ level2. All UG Computer Science courses

Course material will be supplied

TEXT BOOK:

S.no Author Title of book Publisher Year of

publication

1 Dr.Michael E.

Whitman, Herbert

J. Mattord

Principles and

Practices of

Information Security

Course

Technology

Cengage

Learning

4th

edition, 2012

2 Atul Kahato Cryptography and

Network Security

McGraw Hill

Education

3rd

Edition 2012

3 William Stallings Network Security

Essential Applications

and standard

Prentice Hall 2nd

Edition 2009

4 Devan N. Shah Information Security

Principles and Practice

Wiley India 2009

SEMESTER V – PART – III

ADVANCED LEARNERS COURSE – SELF STUDY PAPER

HUMAN RESOURCE MANAGEMENT

SUBJECT CODE: AF16AC1

Credits: 5

Objective

To enable the students to acquire knowledge on Human Resource Management

UNIT I

Human Resource Management – Nature and Scope of the HRM – Managerial and

Operating Functions – Difference between Personnel management and HRM – Human Resource

Planning – Recruitment – Selection – Methods of Selection – Use of various Tests – interview

techniques in Selections.

UNIT II

Placement and Induction – Training – Methods – Techniques – Identification of Training

Needs –Development – Methods – Performance Appraisal – Methods – Promotions and

Transfers

UNIT III

Remuneration – Factors determining remuneration – Components of Remuneration –

Incentives – Benefits – Motivation – Welfare and Social Security Measures –

UNIT IV

Collective Bargaining – Workers participation in Management – Types – Quality Circles

– Management by Objectives – Environment of HRM – HRM as a Profession.

UNIT V

Human Resource Audit – Nature – Benefits – Scope – Approaches

Text Book:


edition

1 Shashi K.Gupta

and Rosy Joshi

Human Resource

Management

Kalyani Publishers Fourth

Edition

2010



edition

1 Dwivedi R.S Human Resource

Management

Vikas Pub House -

Noida

2010

Revised

Edition

2 Gary Dessler

Human Resource

Management

Prentice Hall Of India 2010 13th

edition

3 Gupta C.B Human Resource

Management

Sultan Chand & Sons 12th

edition

2010

Course Designers

1. Dr. (Mrs). M. Raja Rajeswari

2. Mrs. S. Dharchana


LOGISTICS AND SUPPLY CHAIN MANAGEMENT


Credits : 5

Objectives:

To know the concepts of logistics and Supply Chain management

UNIT I

Concepts of Logistics – Evolution – Nature and Importance – Components of Logistics

Management – Competitive advantages of Logistics – Functions of logistics management –

Principles . Supply chain management – Nature and Concepts – Value chain – Functions –

Supply chain effectiveness

UNIT II

Elements of Logistics and Supply chain management – Inventory carrying – Ware

housing – Material handling – Order Processing –Transportation – Demand Forecasting – Impact

of Forecasts on Logistics and Supply chain management – Performance measurements.

UNIT III

Transportation - Position of Transportation in Logistics and Supply chain management –

Road, Rail, Ocean, Air, Transport Multi model transport – containerization – CFS – ICDS -

Selection of transportation mode – Transportation Network and Decision – Insurance Aspects of

logistics.

UNIT IV

Logistical Information system (LIS) – Operations – Integrated IT solution for Logistics

and Supply chain management – Emerging technologies in Logistics and Supply Chain

management. Components of a Logistic system – transportation – Inventory carrying –

warehousing – order processing – Ocean transport – ships – types – measurement of capacity of

ships –shipping information.

UNIT V

Multi Model transportation – Role of containerization –Problems – Characterizing practices –

Port Procedures – Exporting General Merchandise – Containerized cargo for export through

Inland container Depots – Bill of lading - Infrastructure development – Air Transport –

Comparative evaluation of transport system – Decision Criteria – Advantages of Air transport –

Importance – Insurance aspects of logistics.

Text Books


1 Agrawal D.K Text book of

Logistics and Supply

Chain Management

Macmillan India Ltd Current Edition

2 Sunil Chopra &

Peter Meindl

Supply chain

management

Pearson Education

(Singapore) Pvt.ltd

Fourth edition

2010

Reference Books


1 Donald.J.Bowe

rsox, David

J.Closs

Logistics

Management The

Integrated Supply

Chain Process

Tata McGraw-Hill

1996 Edition

2 Reji Ismail Logistics

Management

Excel Books 2010, III Edition

3 Sahay B.S Supply chain

management

Macmillan India ltd 2010, IV Edition

Course Designers

1. Dr. (Mrs). M. Raja Rajeswari

2. Mrs. S. Dharchana

Preamble

To explore and acquire skills in Hadoop, Pig and Hive

Prerequisite


Course Outcomes


CO

Number CO Statement

Knowledge

Level

CO1 Relate Hadoop concepts with Datasets K1

CO2 Recognize tools and techniques K2

CO3 Identify various data frames and models K3



CO1 S S M S S

CO2 S M S S M

CO3 M S S M M


Unit I (17 Hrs)

Meet Hadoop: Data – Data Storage and Analysis – Comparison with other systems – A

brief history of Hadoop – The Apache Hadoop Project – Map Reduce: A weather dataset –

Scaling out - Hadoop streaming - Hadoop pipes.

Unit II (17 Hrs)

The Hadoop Distributed Filesystem: The design of HDFS – HDFS concepts – The

Command Line interface – Hadoop File Systems – The Java Interface – Data Flow – Parallel

copying with distcp – Hadoop archives. Hadoop i/o: Data Integrity – Compression –

Serialization – File based data structure.

Unit III (17 Hrs)

Developing a MapReduce Application: The Configuration API – Configuring the

development environment – Writing a Unit Test – Running locally on test data – Running on a

cluster – Tuning a job – Map Reduce workflows. MapReduce Types and Formats: MapReduce

Types – Input Formats – Output Formats.

Unit IV (18 Hrs)

MapReduce Features: Counters – Sorting – Joins – Side Data Distribution –

MapReduce library classes. Setting up a Hadoop Cluster: Hadoop Specification – Cluster setup

and installation – SSH Configuration – Hadoop Configuration – Post Installation –

Benchmarking a Hadoop Cluster – Hadoop in the cloud.

Unit V (17 Hrs)

DA16C13 HADOOP Category L T P Credit

CORE 86 5 - 4

PIG: Features – modes – modes – PIG Latin – Dataset – Commands and Functions –

Operators – Evaluation Functions – Batch Mode – Embedded Mode – PIG vs. SQL. HIVE:

Features – Architecture – Data Units – HIVE Quesry Languages – Database Operations – Tables

– Joins – HIVE vs. PIG

Text Book:


Edition

1 Tom White Hadoop: The Definitive

Guide

O’Reilley 4th

Edition,

2015



edition

1 Mark Kerzner,

Sujee Maniyam Hadoop Illuminated Git-HUb 2016 Edition

Pedagogy


Course Designers

1. Mrs. S. Deepika

2. Dr. M.Rajeswari

Preamble

To provide an in depth study of the Cost Accounting Principles and Techniques for

identification, analysis and classification of cost components

To Explain the basic concepts and processes in determination of cost of products and

services

To facilitate managerial decision making process

Prerequisite

Knowledge on Classification of Material, Labour and Overheads

Course Outcomes


CO

Number


Level

CO1 Understand and explain the conceptual framework of Cost Accounting K1 & K2

CO2 Familiarize concept and role of cost accounting in the business

management of manufacturing and non-manufacturing companies K2

CO3 Provide an in depth knowledge on cost ascertainment. K3

CM16C14 COST ACCOUNTING Category L T P Credit

CORE 86 6 - 4

And to identify the areas of application of costing techniques.



CO1 S S S S S

CO2 S S S S S

CO3 S S S S S

Syllabus

Unit I (18 Hrs)

Cost Accounting – Definition, Meaning & Scope – Relationship of Cost Accounting

with Financial Accounting and Management Accounting – Methods of Costing – Cost Analysis,

Concepts and Classifications – Elements of Cost, Preparation of Cost Sheet and Tender –

Costing as an Aid to Management – Limitations and Objections Against Cost Accounting -

Reconciliation of Costs and Financial Accounts.

Unit II (17 Hrs)

Materials – Purchasing of Materials, Procedure and Documentation Involved in

Purchasing – Requisitioning for Stores – Methods of Valuing Material Issues – Maximum,

Minimum & Re-ordering Levels – EOQ – Perpetual Inventory.

Unit III (17 Hrs)

Labour – Systems of Wage Payment, Idle Time, Control Over Idle Time – Labour

Turnover

Unit IV (17 Hrs)

Overhead – Classification of Overhead – Allocation and Absorption of Overheads.

Activity Based Costing.

Unit V (17 Hrs)

Process Costing – Features – Process Losses, Waste, Scrap, Normal Process Loss,

Abnormal Process Loss, Abnormal Gain and Inter-process Profit (Excluding Equivalent

Production) – Accounting for Joint and By-products. Distribution of Marks: Theory 20% and Problems 80%.

Text book:

S.

No

Authors Title Publishers Year of

Publication

1. Jain and Narang Cost Accounting Kalyani Publishers Reprint2015


S.

No

Authors Title Publishers Year of

Publication

1. Pillai R.S.N and

Bagawathi

Cost Accounting S Chand & co 2015ed

2 Maheswari. S N Principles of Cost

Accounting

Sultan Chand & sons Reprint 2016

Course Designers

1. Dr. G.Kavitha – Department of Commerce

2. Dr. C. Gomathy – Department of Commerce

Preamble

To acquaint the student with the knowledge of basic legal aspects under various laws.

To provide knowledge of the various rights and liabilities under the various laws.

Prerequisite

No prerequisite Knowledge required.

Course Outcomes

On the successful completion of the course, students will be able to provide an overview

of important laws that have a bearing on the conduct of business in India and also to examine the

various legal forms that a business entity can take and the relative advantages and disadvantages

of each of these forms.

CO

Number CO Statement

Knowledge

Level

CO1 Describe the definition and essential elements of various laws K1

CO2 Discuss about performance of contracts and breach of contracts K2

CO3 Discover the various rights and liabilities of various laws K3



CO1 S S S S M

CO2 S S M S M

CO3 S S S S M


Syllabus

UNIT I (15 Hrs)

Indian Contract Act – Classification of contracts – Essential elements of contract – Legal

rules as to Offer – Acceptance – Consideration. Capacity – Competent parties to a contract –

Free consent – Flaw in consent – Legality of object. Performance of contract – Discharge of

contract – Remedies for breach of contract.

UNIT II (14 Hrs)

Sale of Goods Act – Formation – Conditions and Warranties – Transfer of property –

Performance of contract - Negotiable Instruments Act – Nature – Types- Liabilities of parties –

special rules for cheque and drafts- Discharge of negotiable instruments

UNIT III (14 Hrs)

Law of Partnership – Introduction, meaning and nature of partnerships – Registration of

firms – Partnership Deed – Relations of partners to one another and third parties – changes in a

firm - dissolution

UNIT IV (14 Hrs)

Insurance – Definition – Functions – Types of insurance – Principles – Importance to

business. Fire insurance – Kinds – Procedure for effecting fire insurance – Policy conditions –

Settlement of claims. Marine Insurance – Kinds – Procedure for taking a marine insurance policy

– Policy conditions – Settlement of claims.

UNIT V (14 Hrs)

DA16E03 LEGAL ASPECTS OF

BUSINESS Category L T P Credit

ELECTIVE 71 6 - 5

Consumer Protection Act – consumer rights, procedures for consumer grievances

redressal – types of consumer redressal machinaries and forums – Competition Act 2002 – copy

rights – trade marks, patent Act

Text Book


1 N.D.Kapoor Elements of

Mercantile Law

Sultan Chand 32nd

Edition

Reference Book


1 AkhileshwarPathak Legal aspects of

business

Tata McGraw Hill 4th

Edition

2 S.S.Gulshan Business Law Excel books 4th

Edition

Pedagogy

Lecture, PPT, Quiz, Assignment, Seminar.

Course Designers

1. Dr.(Mrs).M. RajaRajeswari

2. Mrs. D. Sujaritha

Preamble

To provide an in depth knowledge of the various provisions of indirect taxation

To know the various types of indirect taxes like, excise duty, customs duty, production

linked tax, and Value Added Tax

To identify situations where input tax credit is available

Prerequisite

Basic Knowledge on Taxation

Course Outcomes



DA16E04 INDIRECT TAXATION Category L T P Credit

ELECTIVE 71 6 - 5

CO

Number


Level

CO1 Understand the basic principles underlying the Indirect Taxation

Statutes K1

CO2 Identify and analyze the procedural aspects under different applicable

statutes related to indirect taxation K2

CO3 Examine the concepts used in indirect tax, assessment, powers, duties,

offences, penalties etc. K2,K3


CO1 S S S S M

CO2 S S S S M

CO3 S S S S M


Syllabus

Unit I (14 Hrs)

Indirect Taxes – Introductory Concept: Introduction -Importance -Meaning – Definition -

Characteristics -Objectives -Canons of Taxation -Impact Shifting and Incidence of Tax -

Classification of Taxes- Advalorem and Specific Duties - GST in India. Basics of Goods and

Services Tax: Introduction - GST Law – GST Levy -Features of GST -Taxes Subsumed under

Goods and Services -Benefits of Goods and Services Tax -GST Rate Structure -Types of

Supplies under GST in India

Unit II (14 Hrs)

Levy and Collection of Cost:-Introduction - GST – Supply - Levy and Collection –

concept of supply - Composite and Mixed Supplies - Composition Levy-Reverse Charge

Mechanism - Place of Supply of Goods and Services:-Introduction-Importance -Time of Supply

of Goods And Services:-Introduction -Importance of time of supply in GST -Rules for

Determination of Time of Supply -Time of Supply of goods -Time of Supply of services

Unit III (15 Hrs)

Valuation of Supply of Goods and Services: Valuation of supply -Transaction value -

Inclusion in value of supply -Elusive in value of supply -Valuation Rules. Input Tax Credit

under GST: -Introduction -GST – Solution for Double Taxation and Cascading -Input Tax Credit

– Salient Features of GST-Methods - Mechanism -Framework - Input Tax Credit in Special

Circumstance- Documents Required For Claiming -Utilization - Recovering Input Credit

Distributed In Excess. (Simple Problems only)

Unit IV (14 Hrs)

Procedures under GST - Introduction - Registration under GST -Tax Invoice, Credit and

Debit Notes-Accounting and Records-Filling of Returns. Integrated Goods and Services Tax Act

2017 – Introduction – Scope – Levy and Collection – Powers to Grant Exemption –

Determination of Nature of Supply – Inter State Supply – Intra State Supply – Place of Supply –

Zero Rated Supply

Unit V (14 Hrs)

Introduction to Customs Law: -Introduction -Objectives - Scope. Customs Act 1962:

Legal Structure – Definition - Prohibitions on Importation and Exportation of goods - Levy and

Collection of Customs Duty -Taxable Event -Types of Customs Duty -Computation of Customs

Duty- Classification and Valuation of Goods Under Customs Law: Classification of Goods -

Customs Valuation

Distribution of Marks Theory 80%. and Problems 20%

Text Books

Sl.

No.

Author Name Title of the book Publisher Year and edition

1 Dr. R.

Parameswaran

Indirect Taxes GST and

Customs Laws

Kavin Publications 1st Edition, 2018

2 V. S. Datey GST Taxman’s

Publications (P) Ltd.

2017 Edition

Reference Books


edition

1 Radhakrishnan P Indirect Taxation Kalyani publishers 2016, 4th

Edition

2

CA. Kamal Garg

Neeraj Kumar

Sehrawat

Beginner’s guide to

Goods & Services

Tax

Bharat Law House Pvt.

Ltd., New Delhi

2018

3 CA.R.Sathish GST Sri Sai Professional

Academy Publication

2017

Pedagogy


Course Designers

1. Dr.M. Rajarajeswari

2. Mrs. D.Sujini

Preamble

To explore and acquire skills in Hadoop Programming

Prerequisite


Course Outcomes


CO

Number


Level

CO7. Relate data as data sets K1

CO8. Describe PIG AND HIVE K2

CO9. Relate analysis techniques to more complex data sets K3



CO7. S S L M L

CO8. S M M S M

CO9. S M L M L


Syllabus


PRACTICAL VI – HADOOP


PRACTICAL 57 - 4 2

1. Politics:

Problem: How Big Data help Obama win re-election

Links:

[http://www.computerworld.com/s/article/9233587/Barack_Obama_39_s_Big_Data_wo_

the_US_election] - by Michael Lynch,the founder of Autonomy

[http://www.autonomy.com/] (cached copy

[cached_reports/Barack_Obama_Big_Data_won_the_US_election__Computerworld.pdf]

)

2. DataStorage:

Problem: NetApp collects over 600,000 data transactions weekly, consisting of

unstructured logs and system diagnostic information. Traditional data storage systems

proved inadequate to capture and process this data.

Links:Clouderacasestudy [http://www.cloudera.com/content/dam/cloudera/Resources/PDF/Cloudera_Case_Study_

NetApp.pdf](cached copy

[cached_reports/Cloudera_Case_Study_NetApp.pdf])(Published Sep 2012)

3. Financial Services

Problem: The previous solution using Teradata and IBM Netezza was time consuming

and complex, and the data mart approach didn’t provide the data completeness required

for determining overall data quality.

Links:Clouderacasestudy [http://www.cloudera.com/content/dam/cloudera/Resources/PDF/connect_case_study_dat

ameer_banking_financial.pdf] (cached copy

[cached_reports/connect_case_study_datameer_banking_financial.pdf]) (Published Nov

2012)

4. Health care

Problem: A health IT company instituted a policy of saving seven years of historical

claims and remit data, but its in-house database systems had trouble meeting the data

retention requirement while processing millions of claims every day

Links:Cloudera case study

[http://www.cloudera.com/content/dam/cloudera/Resources/PDF/Cloudera_Case_Study_

Healthcare.pdf] (cached copy [cached_reports/Cloudera_Case_Study_Healthcare.pdf])

(Published Oct 2012)

5. Human Sciences

Problem:Processing multi-terabyte data sets wasn't feasible using traditional databases

like MySQL.

Links: NextBio [http://www.nextbio.com/]Intel case study

[http://hadoop.intel.com/pdfs/IntelNextBioCaseStudy.pdf] (cached copy

[cached_reports/IntelNextBioCaseStudy.pdf]) (Published Feb 2013) Information Week

article (May 2012) [http://www.informationweek.com/software/information-

management/hbase-hadoops-next-big-data-chapter/232901601?pgno=1] (cached copy

[cached_reports/www.informationweek_2012_05_08.pdf])

6. Telecoms

Problem: Storing billions of mobile call records and providing real time access to the

call records and billing information to customers.Traditional storage/database systems

couldn't scale to the loads and provide a cost effective solution

Links: China Mobil Quangdong [http://gd.10086.cn/]Intel case study

[http://hadoop.intel.com/pdfs/IntelChinaMobileCaseStudy.pdf] (cached

copy[cached_reports/IntelChinaMobileCaseStudy.pdf]) (Published Feb 2013)Intel APAC

presentation [http://www.slideshare.net/IntelAPAC/apac-big-data-dc-strategy-update-

foridh-launch-rk]

7. Travel

Problem: Orbitz generates tremendous amounts of log data. The raw logs are only stored

for a few days because of costly data warehousing. Orbitz needed an effective way to

store and process this data, plusthey needed to improve their hotel rankings.

Links: Orbitz presentation [http://www.slideshare.net/jseidman/windy-citydb-final-

4635799] (Published 2010)Datanami article [http://www.datanami.com/datanami/2012-

04-26/six_superscale_hadoop_deployments.html]

8. Energy

Problem: Chevron analyzes vast amounts of seismic data to find potential oil reserves.

Links:Presentation [http://almaden.ibm.com/colloquium/resources/Managing%20More%20Bits%20Than%2

0Barrels%20Breuning.PDF] (cached copy [cached_reports/IBM_Chevron.pdf])

(Published June 2012)

9. Logistics

Problem: Collecting and and storing 100s of data points from thousands of trucks, plus

lots of geo data.

Links: ComputerWeeklyarticle

[http://www.computerweekly.com/news/2240146943/Case-Study-US-Xpressdeploys-

hybrid-big-data-with-Informatica] (Published May 2012) Hortonworks white paper on

'Business Value of Hadoop'

[http://hortonworks.com/wpcontent/uploads/downloads/2013/06/Hortonworks.BusinessV

alueofHadoop.v1.0.pdf] (cached

copy[cached_reports/Hortonworks.BusinessValueofHadoop.v1.0.pdf]) (Published July

2013)

10. Retail

Problem: Analyzing large volume of log data, without taxing the databases

Links: Hadoop at Etsy [http://www.slideshare.net/mwalkerinfo/funnel-analysis-in-

hadoop-at-etsy] (March 2013)gigaom article [http://gigaom.com/2011/11/02/how-etsy-

handcrafted-a-big-data-strategy/] (Nov 2011)pdf

[http://assets.en.oreilly.com/1/event/61/Ephemeral%20Hadoop%20Clusters%20in%20the

%20Cloud%20Presentation.pdf] (cached copy

[cached_reports/Esty_Ephemeral_Hadoop_Clusters_in_the_Cloud.pdf]) (Nov 2011)

Pedagogy


Course Designers

1. Dr.M.Rajeswari

2. Mrs. S. Deepika


INFORMATION SYSTEMS FOR BUSINESS

SUBJECT CODE : AF16AC3

Credits : 5

Objectives:

To gain knowledge of ERP, MIS, SAD, Database and Knowledge management.

To develop understanding of Information Technology and its use in Decision Making

areas of business environment.

UNIT I

Management Information systems in a Digital Firm: Concept - Definition – Role of MIS –

Impact – MIS and User – Management as a Control System – MIS: support to Management –

Management effectiveness and MIS-Organization as a System – Organization effectiveness –

MIS for a Digital Firm. Decision Making: Concepts – Process – Decision analysis by Analytical

Modelling – Behavioural Concepts in Decision Making – Organizational Decision-Making –

MIS and Decision Making.

UNIT II Systems Engineering Analysis and Design: System Concepts – System Control – System

Types – Handling System Complexity – Classes of Systems – General Model of MIS – Need for

System Analysis – System Analysis of Existing system- New Requirement – System

development Model – SSAD-OOA-OOT-OOSAD. Development Process of MIS: Long Range

plans – Ascertaining class of Information – Determining – Development and Implementation of

MIS – Management of Information Quality in MIS – Organization for Development of MIS-

Development Process Model.

UNIT III

Decision support system and Knowledge Management: Concept - GDSS – DSS application

in e-Enterprise - Knowledge Management - Knowledge Management Systems – KBES - MIS

and the benefits of DSS. Enterprise Management Systems: EMS-ERP System – ERP Models and

Modules – Benefits - ERP Product Evaluation-ERP Implementation – SCM - Information

Management in SCM – CRM - EMS and MIS. Applications in Manufacturing and Service

Sector: Personnel management – Financial management – Production management – Materials

management – Marketing management – Introduction to service sector – Applications in service

industry.

UNIT IV

Information, Knowledge, Business Intelligence: Concepts – Classification – Methods - Value

of Information - Business Intelligence - MIS and Information and knowledge. Database and

Client Server Architecture: Concepts-Models-Data Models-Database Design-Conceptual Model

and Physical Model – RDBMS-Client - Server Architecture – Client - Server Implementation

Strategies - MIS and RDBMS.

UNIT V

Information Security Challenges in e-Enterprises: Introduction-Security Threats and

Vulnerability-Controlling Security Threat and Vulnerability-Managing Security Threat in e-

Business-Disaster Management-Information Security. Information Technology Impact on

Society: Introduction – Impact of IT on Privacy – Ethics – Technical Solutions for Privacy

Protection – Intellectual Property, Copyright and Patents – Impact of IT on Workplace –

Information System Quality and Impact – Impact on Quality of Life.

Text Book:

Sl.

No.


1 Jawadekar W.S Management

Information Systems

TMGH, New Delhi Reprint 2009


Sl.

No.


1 Gordon B Davis and

Margethe H Olson

Management

Information Systems

TMGH, New Delhi 2010, 2nd

Edition

2 Sadagopan Management

Information Systems

Prentice hall of

India

2012, 1st Edition

Course Designers

1. Mrs. D. Sujini

2. Mrs. R.Shiji


KNOWLEDGE MANAGEMENT SYSTEM


Credits: 5

UNIT I

Knowledge Management: KM Myths – KM Life Cycle – Understanding Knowledge –

Knowledge, intelligence – Experience – Common Sense – Cognition and KM – Types of

Knowledge – Expert Knowledge – Human Thinking and Learning.

UNIT II

Knowledge Management System Life Cycle :Challenges in Building KM Systems –

Conventional Vrs KM System Life Cycle (KMSLS) – Knowledge Creation and Knowledge

Architecture – Nonaka’s Model of Knowledge Creation and Transformation. Knowledge

Architecture.

UNIT III Capturing Knowledge :Evaluating the Expert – Developing a Relationship with Experts –

Fuzzy Reasoning and the Quality of Knowledge – Knowledge Capturing Techniques, Brain

Storming – Protocol Analysis – Consensus Decision Making – Repertory Grid- Concept

Mapping – Black boarding.

UNIT IV

Knowledge Codification :Modes of Knowledge Conversion – Codification Tools and

Procedures – Knowledge Developer’s Skill Sets – System Testing and Deployment – Knowledge

Testing – Approaches to Logical Testing, User Acceptance Testing – KM System Deployment

Issues – User Training – Post implementation.

UNIT V

Knowledge Transfer And Sharing :Transfer Methods – Role of the Internet – Knowledge

Transfer in e-world – KM System Tools – Neural Network – Association Rules – Classification

Trees – Data Mining and Business Intelligence – Decision Making Architecture – Data

Management – Knowledge Management Protocols – Managing Knowledge Workers.

Text Book:

S. No Author Title of Book Publisher Year of

Publication

1 Elias.M. Award &

Hassan M. Ghaziri

Knowledge

Management

Pearson

Education

2003 Edition


S. No Author Title of Book Publisher Year of

Publication

1 Guus Schreiber,

Hans Akkermans,

Anjo Anjewierden,

Robert de Hoog,

Nigel Shadbolt,

Walter Van de Velde and

Bob Wielinga

Knowledge

Engineering and

Management

Universities

Press

2001 Edition

2 C.W. Holsapple Handbooks on

Knowledge

Management

International

Handbooks

on Information

Systems

Vol 1 and 2,

2003 edition

Course Designers

1. Mrs. D. Sujini

2. Mrs. R.Shiji

SKILL BASED SUBJECT – ONLINE ANALYTICAL PROCESSING

Sem Sub code Title of paper Hrs/w

eek

Durat

ion

CIA ES

E

Total Cre

dits

V &

VI

SB16OA02 Theory - SAS & SCILAB 2 2 25 75 100 4

V &

VI

SB16OAP2 Practical II - SAS &

SCILAB

1 2 40 60 100 2

SEMESTER V & VI - PAPER-II – SAS & SCILAB

SUBJECT CODE- SB16OA02

Objective:

To understand and analyse using tools in business analytics.

To enlighten Programming and graphing capabilities to solve business problems.

Credits: 4 Hours: 58

UNIT I (DL 11 Hrs)

Accessing Data : Use FORMATTED, LIST and COLUMN input to read raw data files - Use

INFILE statement options to control processing when reading raw data files - Use various

components of an INPUT statement to process raw data files including column and line pointer

controls, and trailing @ controls - Combine SAS data sets using the DATA step. Creating Data

Structures: Create temporary and permanent SAS data sets - Create and manipulate SAS date

values - Control which observations and variables in a SAS data set are processed and output.

UNIT II (DL 11 Hrs)

Managing Data: Investigate SAS data libraries using base SAS utility procedures - Sort

observations in a SAS data set - Conditionally execute SAS statements - Use assignment

statements in the DATA step - Modify variable attributes using options and statements in the

DATA step - Accumulate sub-totals and totals using DATA step statements.

UNIT III(DL 12 Hrs)

Use SAS functions to manipulate character data, numeric data, and SAS date values -

Process data using DO LOOPS - Process data using SAS arrays. Generating Reports: Generate

list reports using the PRINT and REPORT procedures - Generate summary reports and

frequency tables using base SAS procedures. Enhance reports through the use of labels, SAS

formats, user-defined formats, titles, footnotes and SAS System reporting options - Generate

HTML reports using ODS statements. Handling Errors: Identify and resolve programming

logic errors.

UNIT IV (DL 11 Hrs)

Introduction To Scilab - How to get and install Scilab – Programming: Variables,

assignment and display – Loops – Tests - 2 and 3D plots - Supplements on matrices and vectors -

Calculation accuracy - Solving differential equations - Scilab functions: Analysis - probability

and statistics - To display and plot – Utilities.

UNIT V(DL 11 Hrs)

INPUT/OUTPUT in Scilab – savind and loading variables – unformatted output to screen -

unformatted output to file – working with files – writing to files – reading from keyboard –

reading from files – Manipulating strings in Scilab: string concatenation – string function –

converting numerical values to strings – string concatenation for a vector of a strings -

converting strings to numbers – executing Scilab statements represented by strings – producing

labeled output – using disp function.

Books Recommended


edition

1 Study Material Prepared by Department for Unit: I - III

2 M.Affouf,

Unit : IV -V SCILAB by Example ,

CreateSpace

Independent

Publishing

Platform,

2012, 2nd

edition

Reference


edition

1

Venkat Reddy

Konasani, Shailendra

Kadre

Practical Business

Analytics Using SAS:

A Hands-on Guide

Apress 2015 , 1

st

Kindle Edition

Pedagogy


Course Designers

1. Mrs. S. Deepika

2. Dr. M. Rajeswari

SEMESTER V&VI - PRACTICAL II – SAS SCILAB

SUBJECT CODE: SB16OAP2

Credits: 2 Hours: 28

SAS

1. Student database:

Writing a Basic SAS Program Accessing Data in SAS Libraries

a) Create a sas program by getting input from user for name, age, phone, address.

b) Give datelines with required variables.

c) Enter print command to display result of student.

2. Car database:

Reading and Generating CSV Files Using Snippets & Using the Import Data Utility in

SAS Studio

a) Import a car database from permanent database from sas using snippets

b) Rename the file name and generate same csv file.

c) By using import utility option, import an excel file into sas and display the result.

3. Car Database:

Creating a New Column in SAS, Performing Conditional Logic in SAS

a) from permanent database take car dataset

b) Add new column called Markup by subtracting MDRP with Invoice

4. Heart Database:

Formatting Values in SAS, Using the Filter Data Task in SAS Studio

a) Pick out heart dataset from permanent database

b) give appropriate values to filter a data and display the result

c) By using Air Dataset

d) Format the date column

5. Baseball Database:

Creating a Scatter Plot, Series Plot Using SAS Studio

a) Pick out Baseball dataset from permanent database

b) Select scatter plot and series plot

b) Change the settings in tab, option with necessary arguments

6. Iris Database:

Creating a Histogram, Bar Chart, Bar-Line Chart Using SAS Studio

a) Transform the dataset and set analysis variable, categorical variable.

b) Apply necessary arguments for selected graph and display the result.

7. Fish Dataset:

Summary Statistics, Distribution Analysis Using SAS Studio

a) Perform summary & distribution analysis on fish dataset.

b) Set required variable and give statistic measure to plot the graph

8. Class Database:

One-Way Frequency Analysis, Table Analysis Using SAS Studio

a) Assign single variable to analyse.


9. Cars Database:

Correlation Analysis, One-Way ANOVA Using SAS Studio

a) Perform Correlation Analysis, One-Way ANOVA

b) Set required variable and give statistic measure to plot the graph

10. Fish Databse:

Analysis of Covariance & Forecasting Using SAS Studio

a) Assign single variable to analyse.


SciLab

11. Matrix manipulation using Scilab

12. Celsius temperatures can be converted to Fahrenheit by multiplying by 9, dividing by 5,

and adding 32. Assign a variable called C the value 37, and implement this formula to assign

a variable F the Fahrenheit equivalent of 37 Celsius.

13. Least Square Curve Fitting and plotting in scilab

14. Solve an ODE using Scilab

15. Write a program to input 2 strings from the user and to print out (i) the concatenation of

the two strings with a space between them, (ii) a line of asterisks the same length as the

concatenated strings, and (iii) the reversed concatenation. For example:

Enter string 1: Mark ii. Enter string 2: Huckvale iii. Mark Huckvale iv. elavkcuH kraM

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