Prospectus Faculty of Physical and Numerical Sciences ... 0f Physical - Numerical...

Prospectus Faculty of Physical and Numerical Sciences, Academic Year 2019-20 & onward 1 | P a g e


Faculty of Physical and Numerical Sciences

Introduction:

The Faculty of Physical and Numerical Sciences (FPNS) is one of the leading faculties at the

University. It produces outstanding graduates in various disciplines including Physics,

Mathematic, Chemistry, Computer Sciences, and Statistics. State of the art labs and other

facilities have been established by this faculty to impart quality education to its students. A well

taught postgraduate programme (MS/MPhil and PhD levels) is also offered in various fields.

Research and Development is one of the main objectives of the faculty. Faculty and research

students are publishing papers. They also get funded projects on regular basis from various R&D

organization in Pakistan including Higher Education Commission (HEC), Islamabad. The

following departments have been developed by the Faculty in the last 15 years.

• Department of Chemistry

• Institute of Computing

• Institute of Numerical Sciences

• Department of Physics

Dean and Head of the Teaching Departments:

The Faculty of Physical and Numerical Sciences (FPNS) has got outstanding team of teaching

faculty. Detail of the teaching staff in each department is given in the prospectus and official

website of the University. The faculty is supervised by the Dean under whom the following head

of departments are working:

• Professor Fida Younus Khattak, Dean Faculty of Physical and Numerical Sciences

Dr. Azhar ul Haq Ali Shah, Chairman, Department of Chemistry

Dr. Shafiullah Khan, Director, Institute of Computing

Dr. Wali Khan, Director, Institute of Numerical Sciences

Dr. Abdul Yar Khan, Chairman, Department of Physics

Academic Programmes offered by the Faculty of Physical and Numerical Sciences

The FPNS offers various market oriented academic programmes in the above disciplines that are

explained in detail in the following sections of this booklet.


Institute of Computing

Introduction

The Institute of Computing (IoC), formerly known as Institute of Information Technology (IIT),

is one of the pioneer and largest academic institute at Kohat University of Science and

Technology (KUST). IoC offers various Degree, certification programmes and provide trainings

and services to other departments at the campus. The degree programmes are in par with the

HEC and other universities of international repute. Apart from offering regular academic

programmes, the institute organizes various seminars, workshops and conferences on the latest

topics and issues in computing on regular basis. The institute enjoys the support of an

outstanding team of experienced, highly skilled and young faculty members. The existing faculty

members are well qualified from reputed universities of Pakistan and abroad. The faculty

provides expertise in various specialization areas such as IT Management, Security

Technologies, Network Technologies, Software Technologies, Artificial Intelligence, Data

Mining, Mobile Technologies, Distributed Systems and Theoretical Computer Science. The

department also offers state-of-the art facilities that include auditorium, well equipped lecture

rooms, multi-purpose Computing Labs, Final Year Projects Lab, Research & Development Cell,

Huawei Lab, Cisco Lab and Web Development Cell. The class rooms and labs are equipped with

latest teaching aids such as multimedia projectors, LEDs and OHPs for students and teachers.

Teaching Faculty:

The IoC is known because of its outstanding faculty where the Institute has attracted some high-

quality faculty members during the last few years. The list of prominent faculty members is

given below. The Institute also gets supports from other departments to teach specialization

courses.

Professor Fida Youns Khattak Dean of the Faculty

Dr. Shafiullah Khan Director/ Associate Professors

Dr. Hammad Hassan Assistant Professors

Dr. Asad Habib Assistant Professors

Dr. Jawad Ashraf Assistant Professors

Dr. Amjad Mehmood Assistant Professors

Dr. Muhammad Zeeshan Assistant Professors

Dr. Zeeshan Iqbal Assistant Professors

Dr. Abdul Shahid Assistant Professors

Dr. Saima Hassan Assistant Professors

Dr. Muhammad Irfan ud Din Assistant Professors

Dr. Shafaq Mussadiq Assistant Professors

Ms. Rabia Khan Assistant Professors

Dr. Muhammad Altaf Khan Lecturer

Mr. Muhammad Sohail Lecturer

Mr. Abdur Rehman Lecturer

Mr. Muhammad Abrar Khan Lecturer

Mr. Qadeem Khan Lecturer


Mr. Faisal Baseer Lecturer

Mr. Tahir Naeem Lecturer

Mr. Muhammad Ali Zeb Lecturer

Mr. Noor Mast Lecturer

Mr. Muhammad Adnan Lecturer

Mr. Ilyas Ahmad Lecturer

Dr. Muhammad Muneer Umar Lecturer

Mr. Sana Ullah Khan Lecturer

Mr. Sajid Ullah Lecturer

Mr. Muhammad Roman Lecturer

Academic Programmes

The Institute offers the following undergraduate and graduate degree programmes:

Undergraduate Degree Programmes (4 years)

o BS in Computer Science (BSCS)

o BS in Software Engineering (BSSE)

16 Year Master Degree (2 years Master after 14 years of education)

o Master in Computer Science (MCS)

Graduate Degree Programmes

o PhD in Computer Science

o MS in Computer Science (MSCS)

o MS in Data Science (MSDS)

o MS in Software Engineering (MSSE)

BS in Computer Sciences

BS in Computer Sciences is a four-years bachelor degree programme. This programme is

designed as per the national and international standards. Graduates of this programme are

pursuing successful careers in academia, industry and R&D organizations in Pakistan and

abroad. This programme is accredited by the National Computing Education Accredited Council

(NCEAC), HEC.

Area of Specialization

The Institute offers various specializations during the four-years BSCS degree. The students can

choose subjects from the specialty of their own interest. However, the Institute offers only those

specializations where the total number of students is more than 10.

The curriculum of BS Computer Sciences is divided into various categories as shown in the

below table:

Sr # Category Description CrHr


1 University

Requirements

Courses under this category are compulsory which

are completed by all bachelor students at KUST.

27

2 Faculty Common

(Requirement)

Courses

Support area courses - Only required for students who are registered in Computer Science related degrees.

18

3 Core Course Core courses related to the degree programme as per

the HEC and KUST guidelines.

58

4 Technical

Elective

In the senior year students are provided opportunity

to choose area of specializations of their interest. The

Institute offers various important latest courses for

students so they can choose market oriented courses

for their electives.

24

5 Senior Design

Project/Electives

In order to train students to tackle a project relating

the real world problems, senior design project is

offered that is spread over the last two semesters.

6

Total 133

BS Computer Science (Semester Plan)

The BSCS degree programme is divided into eight semesters as follows.

Semester wise plan

Code Course Title CrHr Pre-

Req

Code Course Title CrHr Pre-Req

Year 1 Semester 1 Year 1 Semester II

XXX*** University Req. - I 3(3+0) None MATH103 Discrete Mathematics 3(3+0) None

CS102 Programming Fundamentals 4(3+1) None CS213 Object Oriented Programming 4(3+1) CS102

XXX*** Faculty-Req.-I 3(3+0) None CS131 Digital Logic and Design 3(3+0) None

XXX*** University Req. – II 3(3+0) None XXX*** University Req. -IV 3(3+0) None

XXX*** University Req. – III 3(3+0) None XXX*** University Req. -V 3(3+0) None

XXX*** University Req. -VI 3(3+0) None

Year 2 Semester III Year 2 Semester VI

CS211 Data Structure and Algorithm 4(3+1) None CS251 Software Engineering 3(3+0) CS101

XXX*** Faculty-Req.-II 3(3+0) None CS241 Web Engineering 4(3+1) CS102

XXX*** Faculty-Req.-III 3(3+0)

None CS222 Database Management

Systems

4(3+1) CS211

XXX*** University Req. –IV 3(3+0) None CS212 Operating System Concepts 4(3+1) None


XXX*** University Req. –VII 3(3+0) None XXX*** Faculty-Req.-V 3(3+0) None

Year 3 Semester V Year 3 Semester VI

CS233 Computer Organization and

Assembly Language 4(3+1) CS131

CS372 Information Security

3(3+0) None

CS311 Theory of Automata 3(3+0) None CS363 Artificial Intelligence 3(3+0) None

CS371 Data Communication and

Computer Networks 4(3+1) CS101

CSxxx CS Elective-II

3(3+0) None

CSxxx CS Elective-I 3(3+0) None CSxxx CS Elective-III 3(3+0) None

XXX*** University Req. -VIII 3(3+0) None XXX*** University Req.-IX 3(3+0) None

XXX*** Faculty-Req.-VI 3(3+0)

CS494

(Optional)

Industrial Training Internship 0 None

Year 4 Semester VII Year 4 Semester VIII

CS411 Design and Analysis of

Algorithms 4(3+1) CS211

CS443 Computer Graphics 4(3+1) None

CSxxx CS Elective-IV 3(3+0) None CSxxx CS Elective-VII 3(3+0) None

CSxxx CS Elective-V 3(3+0) None CSxxx CS Elective-VIII 3(3+0) None

CSxxx CS Elective-VI 3(3+0) None CS492 Final Year Project-II 3(0+9) CS499

CS491 Final Year Project-I 3(0+9) None

Note: University Req: University Requirement Courses, Faculty-Req: Faculty Requirement Courses

A. University Requirement Courses (27 CrHr to be completed from this list)

These courses are related to general education category which are offered in various semesters as per the

semester plan shown above. Some of the courses such as Islamic studies, Pakistan studies and English are

compulsory and must be studied by all students. Students will be required to complete certain courses and

credit hours from this list as per the approved plan of the respective programme.

Code Title CrHr Pre-Requisite

ENG151 Functional English* 3(3+0) None

ENG253 Communication Skills* 3(3+0) ENG151

ENG352 Academics Reading and Writing 3(3+0) ENG253

RS101 Islamic Studies * 3(3+0) None

PS111 Introduction to Pakistan Studies * 3(3+0) None

CS101 Introduction to Computing * 3(3+0) None

BS121 Principles of Management 3(3+0) None

BS131 Human Resources Management 3(3+0) None


BS331 Organizational Theory and Behavior 3(3+0) None

BS311 Entrepreneurship 3(3+0) None

SWS101 Introduction to Sociology 3(3+0) None

SWS231 Social Psychology 3(3+0) None

SWS215 Human Rights 3(3+0) None

SWS201 Social Work and Human Behavior 3(3+0) None

PHI101 Introduction to Logic 3(3+0) None

STAT101 Introduction to Statistics 3(3+0) None

STAT211 Basic Statistical Inference 3(3+0) STAT101

PHI102 Introduction to Philosophy 3(3+0) None

ECON111 Principles of Microeconomics 3(3+0) None

BS261 Financial Accounting 3(3+0) None

BS251 Financial Management 3(3+0) None

*Compulsory (must be offered) and three courses of English language are also compulsory

B. Faculty Requirement Courses (18 CrHr to be completed from this list)

As this programme is offered by the Faculty of Physical and Numerical Sciences, therefore, there are

certain courses which are mandatory to be offered to strengthen the fundamental scientific concepts of the

students. Students will be required to complete 18 CrHr from the following list of Subjects.



STAT102 Probability and Statistics 3(3+0) None

MATH101 Calculus – I 3(3+0) None

PHY101 Introductory Mechanics 3(3+0)/4(3+1) None

MATH311 Linear Algebra 3(3+0) None

MATH471 Mathematical Modeling 3(3+0) None

MATH271 Ordinary Differential Equations 3(3+0) None

MATH473 Operation Research 3(3+0) None

MATH105 Mathematics for Chemistry 3(3+0) None

PHY104 Introductory Electricity and

Magnetism

4(3+1) None

PHY211 Classical Mechanics 3(3+0) None

PHY212 Quantum Mechanics 3(3+0) None

MATH241 Mathematical Statistics-I 3(3+0) None

MATH242 Mathematical Statistics-II 3(3+0) MATH241

MATH131 Computing Tools 3(2+1) None

PHY203 Introductory Electronics 3(3+0) None

MATH108 Basic Differential Equations 3(3+0) None

CHEM105 Introductory Chemistry 3(2+1) None

CS102 Programming Fundamentals 4(3+1) None

C. Core Courses (58 CrHr):


The following courses are the core courses those are compulsory for every student registered in BSCS

degree programme.



CS213 Object Oriented Programming 4(3+1) CS102

CS211 Data Structures and Algorithms 4(3+1) None

MATH103 Discrete Mathematics 3(3+0) None

CS212 Operating Systems Concepts 4(3+1) CS211

CS222 Database Management Systems 4(3+1) CS211

CS251 Software Engineering 3(3+0) CS101

CS371 Data Communication and Computer Networks 4(3+1) CS101

CS372 Information Security 3(3+0) None

CS131 Digital Logic and Design 3(3+0) None

CS311 Theory of Automata 3(3+0) None

CS233 Computer Organization and Assembly Language 4(3+1) CS131

CS411 Design and Analysis of Algorithms 4(3+1) CS211

CS241 Web Engineering 4(3+1) CS102

CS363 Artificial Intelligence 3(3+0) None


D. CS Technical Electives

An important aspect of the CS curriculum is the Technical Elective courses. Students are given

choices towards the end of the programme to choose specialization of their own interest.

Students are required to complete 24 CrHr from the following list of courses as per the guidance

of the Institute.

Note: Students will be allowed to choose electives courses from BS in Computer Science, or

other BS degree programmes approved by relevant statutory bodies/authorities of KUST.

Furthermore, additional courses may be added to the below list after approval from the

respective boards/authorities.

Code Title Cr Hrs Pre-Requisite

General Electives Courses

CS316 Visual Programming 3(2+1) CS213

CS413 Parallel and Distributed Computing 3(3+0) None

CS416 Distributed Systems 3(3+0) CS371

CS417 Mobile Application Development 3(2+1) CS213

CS223 Management Information System 3(3+0) None

CS324 e-Business 3(3+0) None

CS421 Distributed Database Systems 3(3+0) CS222

CS422 Big Data Concepts 3(3+0) None

CS423 Data-warehousing and Data mining 3(3+0) CS222

CS325 Data Science 3(3+0) None

CS332 Computer Architecture 3(3+0) None

CS431 Digital Signal Processing 3(3+0) None

CS432 Microprocessor and Assembly Language 3(3+0) None


CS433 Embedded Systems 3(3+0) None

CS434 System Programming 3(3+0) None

CS343 Multimedia Technologies 3(3+0) None

CS344 Internet Concepts 3(3+0) CS241

CS444 Digital Image Processing 3(3+0) None

Software Engineering

CS451 System Analysis and Design 3(3+0) None

CS453 Object Oriented Analysis & Design 3(3+0) CS251

CS454 Software Project Management 3(3+0) CS251

CS455 Software Quality Assurance 3(3+0) CS251

CS456 Usability Engineering 3(3+0) CS251

CS457 Simulation and Modeling 3(3+0) CS251

Artificial Intelligence

CS364 Human Computer Interaction 3(3+0) None

CS462 Artificial Neural Networks 3(3+0) CS363

CS467 Machine Learning 3(3+0) CS363

CS468 Information Retrieval 3(3+0) CS363

CS469 Natural Language Engineering 3(3+0) CS363

Networks & Communication

CS471 Network Programming 3(2+1) CS371

CS472 Network Protocols 3(3+0) CS371

CS473 Wireless Networks 3(3+0) CS371

CS474 Advanced Computer Networks 3(3+0) CS371

CS477 Multi-hop Networks 3(3+0) CS371

CS478 Telecommunication Systems 3(3+0) CS371

CS476 Network Security 3(3+0) CS371

E. Senior Design Project: (6 Cr-Hrs)

Senior design project is one of the important aspects the Computer Science programme. The

project is spread over two semesters. Students are required to work on a real world problem under

the supervision of a senior faculty members. Students can complete this segment in group form as

well.


CS498 Senior Design Project – I 3(0+9) None

CS499 Senior Design Project – II 3(0+9) CS498

BS Software Engineering

Recently, IoC started BS in Software Engineering. It is a four-years bachelor level degree

programme designed according to the national and international standards in Software

Engineering. The curriculum of BS Software Engineering is divided into various categories as

shown in the below table. This programme is registered with the National Computing Education

Accredited Council (NCEAC), HEC. The NCEAC will visit soon to the Institute to formally

inspect this progarmme for accreditation.


Sr

#

Category Description Credit

Hours

1 University Requirements Courses under this category are compulsory

which are completed by all bachelor students at

KUST.

27

2 Faculty Common Courses Support area courses - Only required for students who

are registered in Computer Science related degrees. 12

3 Core Course Core courses related to the degree programme as

per the HEC and KUST guidelines.

67

4 Technical Elective In the senior year students are provided

opportunity to choose area of specializations of

their interest. The Institute offers various

important latest courses for students so they can

choose market oriented courses for their electives.

21

5 Senior Design

Project/Electives

In order to train students to tackle a project

related real world problems, senior design project

is offered that is spread over the last two

semesters.

6

Total 134

BS Software Engineering (Semester Plan)

The BSSE degree programme is divided into eight semesters as follows.

Semester wise plan


Req


Year 1 Semester I Year 1 Semester II

XXX*** University Req. -I 3(3+0) None MATH103 Discrete Mathematics 3(3+0) None

CS102 Programming

Fundamentals 4(3+1) None

CS213

Object Oriented

Programming 4(3+1) CS102

XXX*** Faculty-Req.-I 3(3+0) None CS251 Software Engineering 3(3+0) None

XXX*** University Req. –II 3(3+0) None XXX*** University Req. -IV 3(3+0) None

XXX*** University Req. –III 3(3+0) None XXX*** University Req. -V 3(3+0) None

XXX*** University Req. -VI 3(3+0) None

Year 2 Semester III Year 2 Semester IV

CS211 Data Structure and

Algorithm 4(3+1) None

SExxx SE Elective-I 3(3+0) None

SE202 Software Requirement 3(3+0) SE101 CS241 Web Engineering 4(3+1) CS102


Engineering

XXX*** Faculty-Req.-II 3(3+0)

None CS222 Database Management

Systems 4(3+1)

CS211

XXX*** Faculty-Req.-III 3(3+0) None CS212 Operating System Concepts 4(3+1) None

XXX*** University Req. –VII

3(3+0) None

CS364 Human Computer

Interaction 3(3+0) None


XXX*** Faculty-Req.-IV 3(3+0) None CS372 Information Security 3(3+0) None

SE341 Software Quality

Engineering

3(3+0) SE101

CS315 Software Construction and

Development

3(3+0) None

CS371 Data Communication and

Computer Networks 4(3+1) CS101

SExxx SE Elective-II

3(3+0) None

XXX*** University Req. –VIII 3(3+0) None SExxx SE Elective-II 3(3+0) None

SE312 Formal Methods in

Software Engineering

3(3+0) None

XXX*** University Req. -IX

3(3+0) None

SE311 Software Design and

Architecture

3(3+0) SE101

SE494

(Optional)

Industrial Training

Internship 0 None

Year 4 Semester VI Year 4 Semester VII

SE422 Software Project

Management

3(3+0) None

SE411 Software Re-Engineering 3(3+0) None

SExxx CS Elective-IV 3(3+0) None SExxx CS Elective-VII 3(3+0) None

SExxx CS Elective-V 3(3+0) None SExxx CS Elective-VI 3(3+0) None

SE441 Software Testing 3(3+0) None CS457 Simulation and Modeling 3(3+0) None

SE498 Final Year Project-I 3(0+9) None SE499 Final Year Project-II 3(0+9) CS491

Note: University Req: University Requirement Courses, Faculty-Req: Faculty Requirement Courses


A. University Requirement Courses (27 CrHr to be completed from this list)

These courses are related to general education category which are offered in various semesters as per the



























B. Faculty Requirement Courses




Code Title CrHr Pre-

Requisite










MATH105 Mathematics for Chemistry 3(3+0)

PHY104 Introductory Electricity and Magnetism 4(3+1) None










C. Core Courses (67 CrHr):

The following courses are the core courses. These are compulsory for every student registered in

BSSE degree programme.


CS102 Programming Fundamentals (3 3 4) None

CS213 Object Oriented Programming (3 3 4) CS102

CS211 Data Structures and Algorithms (3 3 4) None


CS212 Operating Systems Concepts (3 3 4) CS211

CS222 Database Management Systems (3 3 4) CS211

SE101 Software Engineering 3(3+0) None

CS371 Data Communication and Computer Networks (3 3 4) CS101

CS372 Information Security 3(3+0) None

CS241 Web Engineering (3 3 4) CS102

SE202 Software Requirement Engineering 3(3+0) SE101

SE341 Software Quality Engineering 3(3+0) SE101

SE311 Software Design and Architecture 3(3+0) SE101

SE422 Software Project Management 3(3+0) None


SE411 Software Re-Engineering 3(3+0) None

SE315 Software Construction & Development 3(3+0) None

SE312 Formal Methods in Software Engineering 3(3+0) None

SE441 Software Testing 3(3+0) None

CS457 Simulation and Modeling 3(3+0) SE101

D. List of Technical Elective Courses

Technical Elective courses is an important aspect of this programme. Students are given choices

towards the end of the programme to select specialization of their own interest. Students are

required to complete 24 CrHr from the following list of courses as per the guidance of the

Institute.


Note: Students will be allowed to choose electives courses from BS in Software Engineering, or

other BS degree programmes approved by relevant statutory bodies/authorities of KUST.

Furthermore, additional courses may be added to the below list after approval from the

respective boards/authorities.



CS311 Theory of Automata 3(3+0) None






CS473 Wireless Networks 3(3+0) None

CS433 Embedded Systems 3(3+0) CS363


CS469 Natural Language Engineering 3(3+0) None


CS423 Data-warehousing and data mining 3(3+0) CS222





SE201 Object Oriented Software Engineering 3(3+0) None

SE313 Usability Engineering 3(3+0) None

SE412 Aspect Oriented Software Engineering (3 3 4) None

SE314 Software Metrics (3 0 3) None

SE421 Game Development (3 3 4) None

SE431 Software Process Engineering 3(3+0) None

SE442 Software Verification and Validation 3(3+0) None

CS331 Computer Architecture & Organization 3(3+0) CS232

E. Senior Design Project: (6 CrHr)

Senior design project is one of the important aspects the Software Engineering degree programme.

The project is spread over two semesters. Students are required to work on a real world problem

under the supervision of a senior faculty member. Students can complete this segment in groups

form as well.


SE498 Senior Design Project – I 3(0+9) None

SE499 Senior Design Project – II 3(0+9) SE498


Master of Computer Science (MCS) - 16 Years.

The Institute of Computing offers a two years’ degree programme under the title ‘Master in Computer

Science (MCS)’ to those candidates who have completed 14 years education. This programme is offered

for students who have obtained two years conventional BSc degree with relevant courses, i.e., Computer

Science, Mathematics and Statistics. This degree programme is spread over four semesters. Semester and

year wise plan of MCS programme are given below.

Sr # Category Description Credit Hours

1 General Education Courses under this category are compulsory


KUST.

9

2 Core Course Core courses related to the degree programme as


50




important latest courses for students so they can

choose market oriented courses for their

electives.

6

4 Senior Design

Project/Electives


related real world problems, senior design

project is offered in the last semester.

3

Total 68

MCS (Semester Plan)

The whole degree programme is divided into four semesters as follows.


Req



CS102 Programming

Fundamentals

4(3+1) None CS342

Web Designing

4(3+1) None

XX*** University Req.-I

3(3+0) None

CS113 Object Oriented

Programming

4(3+1) CS102

CS222 Database Management

Systems

4(3+1) None CS233

Computer Organization &

Assembly Language

4(3+1) None

CS211 Data Structures &

Algorithms

4(3+1) None CS363

Artificial Intelligence

3(3+0) CS363

XX*** University Req. -II 3(3+0) None XX*** University Req. -III 3(3+0) ENG231



CS212 Operating Systems

Concepts 3(3+0) CS211

CS***

CS Elective-I

3(3+0) None

CS371 Data Communication &

Networks 4(3+1) None

CS***

CS Elective-II

3(3+0) None

CS251 Software Engineering 3(3+0) CS111 CS443 Computer Graphics 4(3+1) None

CS311 Theory of Automata

3(3+0) None

CS454

Software Project

Management 3(3+0)

None

CS316 Visual Programming 3(3+0) CS213 CS493 Final Year Project 3(0+9) None

*University Req.: University Requirement Courses

A. List of University Requirements

These courses are related to general education which are offered in various semester as per the semester

plan shown below. Students will be required to complete 9 CrHr from this list.


ENG112 Study Skills 3(3+0) None

ENG253 Communication Skills 3(3+0) None

CS101 Introduction to Computing * (3 3 4) None

MS121 Principles of Management 3(3+0) None


MS131 Human Resources Management 3(3+0) None

MS311 Entrepreneurship 3(3+0) None



B. List of Core Courses

The following courses are the core courses. These are compulsory for every student registered in MCS

degree programme.



CS211 Data Structures & Algorithms 4(3+1) None

CS213 Object Oriented Programming 4(3+1) CS102

CS212 Operating Systems Concepts 3(3+0) CS111

CS233 Computer Organization & Assembly Language 4(3+1) None

CS311 Theory of Automata 3(3+0) CS113

CS342 Web Designing 4(3+1) None

CS222 Database Management Systems 4(3+1) None

CS316 Visual Programming 3(3+0) CS213

CS251 Software Engineering 3(3+0) None

CS371 Data Communication & Networks 4(3+1) None

CS454 Software Project Management 3(3+0) CS251



CS363 Artificial Intelligence 3(3+0) CS111


C. List of Technical Elective

Technical Elective courses are an important aspect of this programme. Students are given

choices towards the end of the programme to select specialization of their own interest. Students

are required to complete 6 CrHr from the following list of courses as per the guidance of the

Institute. Note: Students can also choose Technical Elective courses from the BS Computer

Science and BS Software Engineering degree programmes.



CS416 Distributed Systems 3(3+0) CS371


CS223 Management Information System 3(3+0) None

CS324 e-Business 3(3+0) None



CS423 Data-warehousing and Data mining 3(3+0) CS222


CS332 Computer Architecture 3(3+0) None


CS432 Microprocessor and Assembly Language 3(3+0) None

CS433 Embedded Systems 3(3+0) None



CS344 Internet Concepts 3(3+0) CS241


CS451 System Analysis and Design 3(3+0) None

CS453 Object Oriented Analysis & Design 3(3+0) CS251

CS455 Software Quality Assurance 3(3+0) CS251

CS456 Usability Engineering 3(3+0) CS251

CS457 Simulation and Modeling 3(3+0) CS251




CS468 Information Retrieval 3(3+0) CS363

CS469 Natural Language Engineering 3(3+0) CS363

CS471 Network Programming 3(2+1) CS371

CS472 Network Protocols 3(3+0) CS371

CS473 Wireless Networks 3(3+0) CS371


CS477 Multi-hop Networks 3(3+0) CS371

CS478 Telecommunication Systems 3(3+0) CS371

CS476 Network Security 3(3+0) CS371


D. Senior Design Project: (6 CrHr)

Senior design project is one of the important aspects in this programme. Students are required to work on

a real world problem under the supervision of a senior faculty member. Students can complete this

segment in groups form as well.

Senior Design Project: (3 CrHr)

S.No Code Title Pre-Requisite CrHr

1 CS493 Project None 3(0+9)

Master of Science (MS) Computer Science

MS in Computer Science is a two years graduate level degree programme. IoC is successfully

running this degree programme since 2006 The focus of this programme is mainly on research.

Students are encouraged to take part in the conferences and seminars arranged by KUST and

other universities in the region. The graduates of this programme are well received by the job

markets and research organizations.

Programme Structure:

The whole programme can be completed in two years that consists of four semesters with 30

CrHr. The below table shows the overall structure of the programme:

Category Description CrHr

Core Courses Four core courses are compulsory. A list of core courses is

designed based on latest trend in this discipline as per the

HEC criteria which will be offered to students in the whole

duration. Students will be required to follow the semester plan

as given in this prospectus. In case there is any change in the

plan, the Institute will inform all students about it.

12

Elective Courses A number of specialization/major areas have been identified.

Relevant courses for each specialization area are listed.

Students will be required to complete their credit hours from

the chosen area.

12

Thesis Intensive research to be conducted in this course. The

University encourages Master students to publish their

research work at international forums.

06

Paper

Publication/

Presentation

All students will be required to get published one research

paper from their thesis in HEC recognized journal or give

presentation in any national conference/workshop during the

entire degree program.

0

Internal

Presentation

All students will be required to give internal presentation in

their research group during the entire degree program.

0

Total MPhil degree is awarded after successfully completion of all

of the above requirements.

30


MSCS (Semester Plan)

The MSCS degree programme is divided into four semesters as follows.


Req



CS515 Theory of

Computations

3(3+0) None CS516 Advance Analysis of

Algorithms

3(3+0) --

CS517

Advanced Operating

Systems

3(3+0) None

CS531

Advanced Computer

Architecture

3(3+0) --

CS*** CS Elective – I 3(3+0) None CS*** CS Elective – II 3(3+0) --


CS*** CS Elective – III 3(3+0) --

CS691

Contd:

MS Research

- 6(0+18) CS*** CS Elective – IV 3(3+0) --

CS691 MS Research 6(0+18) --

Core Courses (12 CrHr):

The following courses are the core courses which are compulsory for every student to registered in MSCS

degree program. Students are required to study all these courses.

Code Title Pre-Requisite CrHr

CS515 Theory of Computations None 3(3+0)

CS516 Advanced Analysis of Algorithms None 3(3+0)

CS517 Advanced Operating Systems None 3(3+0)


CS531 Advanced Computer Architecture None 3(3+0)

Elective (Student will be required to take – 4 courses) 12 CrHr

Code Title Pre-

Requisite CrHr

CS505 Research Methods with an IT Perspective None 3(3+0)

CS611 Advance Parallel Programming None 3(3+0)

CS612 Advance Distributed Systems None 3(3+0)

CS613 Analysis and Design of Parallel Algorithms None 3(3+0)

CS614 Algorithms for Bio-Informatics None 3(3+0)

CS622 Advance Data Mining None 3(3+0)

CS623 Big Data None 3(3+0)

CS541 Multimedia Computing and Applications None 3(3+0)

CS542 Computer Vision None 3(3+0)

CS643 Semantic Web None 3(3+0)

CS644 Data Compression None 3(3+0)

CS645 Web Metrics None 3(3+0)

CS646 Web Usability None 3(3+0)

CS554 Requirement Engineering None 3(3+0)

CS555 Software System Architecture None 3(3+0)

CS556 Advance Software Quality Assurance None 3(3+0)

CS657 Advance Software Project Management None 3(3+0)

CS658 Software Testing None 3(3+0)

CS563 Soft Computing None 3(3+0)

CS564 Evolutionary Computing None 3(3+0)

CS565 Advance Natural Language Engineering None 3(3+0)

CS566 Design and Development of Corpora None 3(3+0)

CS567 Information Architecture for the World Wide Web None 3(3+0)

CS568 Advance Human Computer Interaction None 3(3+0)

CS569 Information Authoring None 3(3+0)

CS661 Advance Machine Learning None 3(3+0)

CS662 Advance Artificial Neural Networks None 3(3+0)

CS665 Development of Natural Language Engineering Resources None 3(3+0)

CS666 Optimized Input Methods None 3(3+0)

CS667 Machine Translation None 3(3+0)

CS668 Advance Information Retrieval None 3(3+0)

CS571 Advance Computer Communication & Networks None 3(3+0)

CS576 Advance Network Security None 3(3+0)

CS573 Wireless and Mobile Networks None 3(3+0)

CS673 Advance Network Programming None 3(3+0)

CS676 Network Management None 3(3+0)


CS677 Advance Information Security None 3(3+0)

CS678 Networks Middle Ware Design None 3(3+0)

Thesis/Research: (6 CrHr)

Code Title Pre-Req

Cr Hrs

CS691 MS Research Report None 6(0+18)

Master of Science in Data Science (MSDS)

Big Data Analytics and pervasive computing hinge on the principle axis of data analytics.

MSDS programme is going to be relevant in terms of job creation and artisanal smart business

generation.

IoC started the graduate level MSDS degree programme in 2018. It is designed to give

students the option to be a part of the data science endeavor. We believe our MSDS graduates

would benefit from the early-bird advantage in this career oriented and promising field.

The objectives of this programme are enlisted below.

To equip students to transform data into actionable insights to make complex

organizational decisions.

To enable students, understand and analyze a problem and to arrive at computable

solutions.

To expose students to the set of technologies that match those solutions.

To gain hands-on experience on data-centric tools for statistical analysis, visualization and

big data applications.

To understand the implications of handling data in terms of data security and business

ethics.

Structure of the MSDS program

The program is spread over four semesters according to the following structure. The

6-credit hour thesis is mandatory.

Category Credit Hours Description

Core Courses 09 Three core courses are compulsory. A list of core

courses is designed based on latest trend in this

discipline as per the HEC criteria which will be

offered to students in the whole duration.

Students will be required to follow the semester

plan as given in this prospectus. In case there is

any change in the plan, the Institute will inform


all students about it.

Elective Courses 15 A number of specialization/major areas have

been identified. Relevant courses for each

specialization area are listed. Students will be

required to complete their credit hours from the

chosen area.

Thesis 06 Intensive research to be conducted in this course.

The University encourages Master students to

publish their research work at international

forums.

Paper Publication/

Presentation

0 All students will be required to get published one

research paper from their thesis in HEC

recognized journal or give presentation in any

national conference/workshop during the entire

degree program.

Internal Presentation 0 All students will be required to give internal

presentation in their research group during the


Total 30 MPhil degree is awarded after successfully

completion of all of the above requirements.

MSDS (Semester Plan)

The MSDS degree programme is divided into four semesters as follows.


Req



DS501

Tools and Techniques

for Data Science

3(3+0) None

CS661

Advance Machine

Learning

3(3+0) None

DS502

Statistical and

Mathematical

Methods for Data

Analysis

3(3+0) 3(3+0)

DS*** DS Elective – II

3(3+0)

None

DS*** DS Elective – I 3(3+0) 3(3+0) DS*** DS Elective – III 3(3+0) None



CS*** CS Elective – III 3(3+0) --

DS691

Contd:

MS Research

- 6(0+18) CS*** CS Elective – IV 3(3+0) --

DS691 MS Research 6(0+18) --


The following courses are the core courses which are compulsory for every student to registered in MSDS

degree programme. Students are required to study all these courses.


DS501 Tools and Techniques for Data Science None 3(3+0)

DS502

Statistical and Mathematical Methods for Data

Analysis None

3(3+0)

CS661 Advance Machine Learning None 3(3+0)


Code Title Pre-

Requisite CrHr

CS542 Computer Vision None 3(3+0)

CS614 Algorithms for Bio-Informatics None 3(3+0)

CS565 Advance Natural Language Engineering None 3(3+0)

DS503 Bayesian Data Analysis None 3(3+0)

DS504 Data Visualization None 3(3+0)

DS505 Deep Learning None 3(3+0)

DS506 Optimization Methods for Data Science and Machine Learning None 3(3+0)

DS604 Deep Reinforcement Learning None 3(3+0)

DS602 Probabilistic Graphical Models None 3(3+0)

DS603 Social network analysis None 3(3+0)

DS604 Time series Analysis and Prediction None 3(3+0)

DS511 Algorithmic trading None 3(3+0)

DS512 Cloud computing None 3(3+0)

DS513 Distributed Data Processing and Machine Learning None 3(3+0)

DS611 Distributed Machine Learning in Apache Spark None 3(3+0)

DS612 High performance computing None 3(3+0)

DS521 Big Data Analytics None 3(3+0)

DS522 Computational Genomics None 3(3+0)

DS621 Inference & Representation None 3(3+0)

DS622 Scientific Computing in Finance None 3(3+0)




DS691 MS Research Report None 6(0+18)


Master of Science in Software Engineering (MSSE)

The Master of Science in Software Engineering (MSSE) degree programme is designed to equip our

students with theoretical as well as applied knowledge of software life cycle for solution of complex

problems. It is aimed to prepare the students to learn independently in a constantly changing and

challenging discipline.

Program Objectives

The objectives of MS (Software Engineering) degree programme are enlisted below.

1. Prepare students who can critically apply concepts, theories and practices to provide creative

solutions of complex computing problems.

2. Prepare students who can define, plan, implement and test a medium-sized software project using

appropriate software engineering processes, methods and techniques.

3. Prepare students to effectively communicate their ideas in written and electronic form, and

prepare them to work collaboratively in a team environment.

4. Prepare students with a theoretical software engineering background and applied research needed

to enter a doctorate program in software engineering.

Structure of the MSSE program

The program is spread over four semesters according to the following structure. The 6-credit hour thesis is

mandatory.


Core Courses 09 Three core courses are compulsory. A list of core






any change in the plan, the Institute will inform

all students about it.

Domain Elective Courses 06 A number of specialization/major areas have


specialization area are listed.

General Elective Courses 09 Students will be required to complete their credit

hours from the chosen area.




forums.

Paper Publication/

Presentation






degree program.






MSSE (Semester Plan)

The MSSE degree programme is divided into four semesters as follows.


Req



SE501

Advanced

Requirements

Engineering

3(3+0) None

SE541

Software Testing and

Quality Assurance

3(3+0) --

SE511

Advanced Software

System Architecture

3(3+0) None SE***

Domain Elective – II

3(3+0) --

SE*** Domain Elective – I 3(3+0) None SE*** General Elective – I 3(3+0) --


CS*** CS Elective – II 3(3+0) --

SE691

Contd:

MS Research

- 6(0+18) CS*** CS Elective – III 3(3+0) --

SE691 MS Research 6(0+18) --


The following courses are the core courses which are compulsory for every student to registered in MSSE

degree programme. Students are required to study all these courses.


SE501 Advanced Requirements Engineering SE501 3(3+0)

SE511 Advanced Software System Architecture SE511 3(3+0)

SE541 Software Testing and Quality Assurance SE541 3(3+0)

Domain Specific Technical Elective Courses (Student will be required to take –2 courses) 06 CrHr

Code Title Pre- CrHr


Requisite

SE512 Software Measurement and Metrics None 3(3+0)

SE631 Component Based Software Engineering None 3(3+0)

SE513 Advanced Formal Methods None 3(3+0)

CS568 Advance Human Computer Interaction None 3(3+0)

SE514 Agile Software Development Methods None 3(3+0)

SE515 Empirical Software Engineering None 3(3+0)

SE521 Advanced Software Project Management None 3(3+0)

General Technical Elective Courses (Student will be required to take –3 courses) 09 CrHr


SE621 Software Risk Management None 3(3+0)

CS601 Research Methodology None 3(3+0)

SE622 Software Configuration Management None 3(3+0)

SE641 Reliability Engineering None 3(3+0)

SE632 Complex Networks None 3(3+0)

S611 Agent Based Modeling None 3(3+0)



SE691 MS Research Report None 6(0+18)

PhD Computer Science programme

IoC offers a very strong PhD programme in various areas of computer sciences. This section

briefly discusses the structure and courses of the PhD programme.

The IoC expects that all the students admitted to PhD studies must perform well during their

enrollment as PhD students. In order to maintain a good standing, all students are required to

perform satisfactorily during various stages such as course work, comprehensive examination

and thesis proposal defense. Finally, admission to candidacy requires the students to demonstrate

their evidence of research ability in the thesis proposal defense conducted by the university. The

key programme activities are expected to be completed as per HEC guidelines for PhD degree

programme.

For detailed information, the candidates for admission in PhD programme are required to visit

the official website and contact admission office for the latest rules and regulations regarding

PhD programme.

Programme Structure

Students will be required to complete 18 credit hours course work as per the HEC guidelines.

The course work will be followed by Research Thesis.



Elective/Optional/Major 18 A number of specialization/major areas have




chosen area.

Non-Credit Hour 00 A PhD student must pass two non-credit hours

courses selecting from offered courses for under

graduate/graduate programme in the university.

Comprehensive

Examination

NA A PhD student will be required to pass

comprehensive examination after successful

completion of course work and before

submitting research proposal.

Paper Publication NA A PhD student will be required to get published

one research paper from his/her thesis in HEC

recognized journal during the entire degree

program.

Presentation NA A PhD student will be required to publish and

present one research paper in

national/international conference.

Thesis NA Intensive research to be conducted in this course.

The University encourages PhD students to


forums.

Total 18 PhD degree is awarded after successfully


PhD Computer Science (Semester Plan)

The PhD degree programme is divided into six semesters as follows.

Code Course Title CrHr Pre-Req Code Course Title CrHr Pre-Req


CS*** CS Elective – I 3(3+0) None CS*** CS Elective – III 3(3+0) None

CS*** CS Elective – II 3(3+0) None CS*** CS Elective – IV 3(3+0) None

XXX*** Non Credit Course - I 0(3+0) None XXX*** Non Credit Course - II 0(3+0) None


CS*** CS Elective – V 3(3+0) None CS991 Thesis 6(0+18) None


CS*** CS Elective – VI 3(3+0) None

Comprehensive Examination


CS991 Thesis 6(0+18) None CS991

Continued

Thesis 6(0+18) None



CS711 Cluster and Grid Computing None 3(3+0)

CS712 High Performance Computing None 3(3+0)

CS741 Advance Topics in Semantic Web None 3(3+0)

CS764 User Interface Design in Global Perspective None 3(3+0)

CS766 Knowledge Representation None 3(3+0)

CS767 Computational Linguistics None 3(3+0)

CS768 Statistical Natural Language Engineering None 3(3+0)

CS769 Knowledge Based System Design None 3(3+0)

CS765 Parsing Technologies None 3(3+0)

CS862 Information Foraging None 3(3+0)

CS863 Recommender Systems None 3(3+0)

CS866 Computational Intelligence None 3(3+0)

CS867 Speech Processing Techniques None 3(3+0)

CS868 Advance Information Retrieval

CS771 Mobile Adhoc Networks None 3(3+0)

CS772 Wireless Mesh Networks None 3(3+0)

CS776 Wireless Sensor Networks None 3(3+0)

CS777 Advance Networking None 3(3+0)

CS778 Advance Wireless Network Security None 3(3+0)

CS779 Advance Wireless Networks None 3(3+0)

CS875 Mobile Communication Systems None 3(3+0)

CS876 Information and Coding Theory None 3(3+0)

CS877 Traffic Control and Quality of Services None 3(3+0)



CS991 Thesis None 6(0+18)


Department of Chemistry

Introduction:

Department of Chemistry is one of the distinguished departments at KUST. It was established in

October, 2004 soon after the onset of KUST in 2002, with only forty students and two faculty

members. It was shifted to its current location of Academic Block Uphill Building in 2007 and

occupies the ground floor of the building. Now, it is one of largest and populous postgraduate

department of the university with more than three hundred students and eighteen faculty

members. Most of the faculty members are having Doctorate and Post Doctorate qualifications

from world ranking institutions.

Department of Chemistry coordinates and provides facilities for exchange of knowledge and

basic and applied research in different fields of science in general and of chemistry in particular.

The department has established links to national and international institutions for mutual

collaboration to produce quality research and trainings

Academic Staff Department of Chemistry

The Department of Chemistry is known because of its outstanding faculty. The Department has

attracted some high quality faculty during the last few years. The Department also gets supports

from other departments to teach specialization courses. The list of faculty members is given

below.

S. No Names Qualifications Specialization 1. Dr. Azhar Ul Haq Ali Shah

Associate Professor and Chairman

PhD, Post Doc. Organic Chemistry

2. Prof. Dr. Syed Tasleem Hussain

Professor

PhD Physical Chemistry

3. Prof. Dr. Murad Ali Khan Professor


4. Dr. Ijaz Ahmad

Associate Professor


5. Dr. Muhammad Iqbal Khan

Associate Professor

PhD, Post Doc. Inorganic Chemistry

6. Mr. Syed Murtaza Hussain

Assistant Professor

M.Phil Physical Chemistry

7. Dr. Shaukat Shujah

Assistant Professor

PhD Inorganic Chemistry

8. Dr. Ruqia Nazir Assistant Professor

PhD Inorganic Chemistry

9. Dr. Naeem Khan

Assistant Professor

PhD Biochemistry

10. Dr. Javid Ali

Assistant Professor

PhD Organic Chemistry

11. Dr. Muhammad Bilal

Assistant Professor

PhD Biochemistry

12. Dr. Ahtaram Bibi

Assistant Professor



13. Dr. Musadiq Ibrahim

Assistant Professor

PhD Biochemistry

14. Dr. Umar Nishan

Assistant Professor

PhD Biochemistry

15. Dr. Muslim Khan

Assistant Professor

PhD Analytical Chemistry

16 Dr.Mansoor Khan Assistant Professor

PhD Analytical Chemistry

17. Dr. Rukhsana Gul

Assistant Professor


18. Ms. Saima Gul

Lecturer

MPhil Biochemistry

19. Ms. Naila Khalid

Lecturer


20 Dr. Shahid Ameen

Lecturer

PhD Biochemistry

Departmental Library

The Department has seminar library with a stock of around 2000 referenced books specifically

on Chemistry and allied sciences. It has 200 research thesis of BS/M.Sc and more than 80

research thesis of MPhil/Ph.D. Internet facility is available for students to access Research

Journals in various fields of Chemistry.

Lab. Facilities

The Department of Chemistry has one instrumental Lab., one M.Phil./Ph.D. research Lab. and

two laboratories for undergraduate programs of BS and M.Sc in four disciplines of Chemistry

namely, Biochemistry, Inorganic Chemistry, Organic Chemistry and Physical Chemistry. Food

Chemistry lab. Has been recently established. These laboratories are fully equipped with modern

scientific instruments to train the students for challenging careers and research innovations.

These include pH Meters, Conductivity Meters, Refractometers, Ovens, Furnaces, Analytical

Balances, Centrifuges, Flame Photometer, UV Visible Spectrometers, HPLC, FTIR Spectrometer

and Atomic Absorption Spectrophotometer. Department of Chemistry also has a good stock of

chemicals/reagents and glass wares.

Academic Programmes

The Department of Chemistry offers BS, M.Sc., M.Phil. and PhD. degree programs.

BS Chemistry

BS in Chemistry is a four year bachelor level programme. The programme is designed according

to the national and international standard. Graduates of this programme have gone to various

countries, industries, and organizations for job and higher studies.

The BS Chemistry programme is offered with four majors:


1. Inorganic Chemistry

2. Organic Chemistry

3. Physical Chemistry

5. Biochemistry

In the last two semesters, students are given choices to choose major of their own interest.

Students will be required to complete eight (08) courses from major they have chosen. In

addition these courses students will do their Senior Design Project in the same specialty.

The curriculum of BS Chemistry is divided into various categories as shown in the below table:

Sr # Category Description Credit

Hours

1 University

Requirements/General

Education

Courses under this category are compulsory which are

completed by all bachelor students at KUST.

21

2 Faculty Common

Courses

Support area courses - Only required for students who are

registered in Chemistry related degrees. 6

2 Core Course Core courses related to the degree programme as per the

HEC and KUST guidelines.

79

3 Technical Elective In the senior years students are provided opportunity to

choose area of specializations of their interest. The Department offers various important and latest

specialization areas in this academic programme which

are mentioned in the scheme of study.

25-28

4 Senior Design Project In order to train students to tackle a project related real

world problems, senior design project is offered that is

spread over the last two semesters.

6

Total 137-140


BS Chemistry (Semester Plans):

The whole programme is divided into eight semesters as follows:

Code Title CrHr Pre-req Code Title CrHr Pre-req

Semester I Semester II

XXX*** University Req. - I 3(3+0) Nil XXX*** University Req. -III 3(3+0) Nil

ZOO101 Zoology I 4(3+1) Nil XXX*** University Req. -IV 3(3+0)

XXX*** University Req. - II 3(3+0) ZOO102 Zoology II 4(3+1) Nil

XXX*** Faculty-Req.-I 3(3+0) XXX*** Faculty-Req. -II 3(3+0)

CHEM112 Basic Inorganic Chemistry I

4(3+1) Nil

CHEM122 Basic Organic Chemistry I

4(3+1) Nil

Semester III Semester IV

XXX University Req. -V

3(3+0) Nil

BOT102 Systematics, Anatomy &

Development 4(3+1)

Nil

BOT101 Diversity of Plants 4(3+1) Nil MS112 University Req. VII 3(3+0) Nil

XXX University Req. –VI 3(3+0) Nil XXX*** University Req. -VIII 3(3+0) Nil

CHEM212 Basic Inorganic Chemistry II

4(3+1) CHEM

112

CHEM234 Basic Physical Chemistry II

4(3+1) CHEM233

CHEM233 Basic Physical

Chemistry I 4(3+1)

Nil CHEM222

Basic Organic Chemistry II 4(3+1)

CHEM122

Semester V Semester VI

CHEM311 Inorganic Chemistry I 4(3+1) CHEM

212

CHEM312

Inorganic Chemistry II 4(3+1) CHEM311

CHEM321 Organic Chemistry I 4(3+1) CHEM

222

CHEM322 Organic Chemistry II

4(3+1) CHEM321

CHEM331 Physical Chemistry I 4(3+1) CHEM

234

CHEM332 Physical Chemistry II

4(3+1) CHEM331

CHEM341 Bio-Chemistry I 4(3+1) Nil CHEM342 Bio-Chemistry II 4(3+1) CHEM341

CHEM361 Environmental Chemistry

2(2+0) Nil

CHEM351 Analytical Chemistry 2(2+0) Nil

Semester VII Semester VIII

CHEM4xx Elective – I 3(3+0) None CHEM4xx Elective – V 3(3+0) None

CHEM4xx Elective – II 3(3+0) None CHEM4xx Elective – VI 3(3+0) None

CHEM4xx Elective – III 4(3+1) None CHEM4xx Elective – VII 3(3+0) /4(3+1)

None

CHEM4xx Elective – IV 3(3+0)/4(3+1)

None CHEM4xx Elective – VIII 3(3+0) )/4(3+1)

None

CHEM491 Senior Design Project I 3(0+3) None CHEM4xx Senior Design Project II 3(0+3) None

List of University Requirement Courses: (21 CrHr to be completed from this list)

These courses are related to general education category that are offered in various semesters as per the




























Faculty Requirement Courses (6 CrHr to be completed from this list)














PHY104 Introductory Electricity and Magnetism

4(3+1) None



MATH241 Mathematical Statistics-I 3(3+0)

None

MATH242 Mathematical Statistics-II 3(3+0)

MATH241

MATH131 Computing Tools 3(2+1)

None






List of Technical/Major Electives:

The Department offers various specializations to its students in the last stages of the programme.

Various latest courses are mentioned under each specialization category. Student will be required

to choose one category for their specializations. However, they can also take double

major/specialization with the consultation of the Department.

Inorganic Chemistry

Course Code Course Title Credit Hours Pre-Requisites

CHEM411 Instrumental Methods Of Analysis 3(3+0) CHEM312

CHEM412 Inorganic Reaction Mechanism 3(3+0) CHEM312

CHEM413 Inorganic Polymers 3(3+0) CHEM312

CHEM493 Lab-I 1(0+ 1)

CHEM414 Group Theory and Magnetochemistry 3(3+0) CHEM312

CHEM415 Organometallics 3(3+0) CHEM312

CHEM416 Nuclear chemistry 3(3+0) CHEM312

CHEM494 Lab-II 1(0+1) CHEM493

Organic Chemistry


CHEM421 Oxidation and Reduction 3(3+0) CHEM322

CHEM422 Reaction Mechanism 3(3+0) CHEM322

CHEM423 Organic Spectroscopy 3(3+0) CHEM322

CHEM493 Lab-I 1(0+1)

CHEM424 Heterocyclic Chemistry 3(3+0) CHEM322

CHEM425 Natural Product Chemistry 3(3+0) CHEM322

CHEM426 Organic Synthesis 3(3+0) CHEM322


Physical Chemistry


CHEM431 Statistical Mechanics and

Thermodynamics 3(3+0) CHEM332

CHEM432 Surface and Polymer Chemistry 3(3+0) CHEM332

CHEM433 Chemical Kinetics and Photochemistrty 3(3+0) CHEM332


CHEM434 Nuclear Chemistry 3(3+0) CHEM332

CHEM435 Quantum and Thermochemistry 3(3+0) CHEM332

CHEM436 Spectroscopy 3(3+0) CHEM332



Biochemistry


CHEM441 Metabolism 3(3+0) CHEM342

CHEM442 Enzymology and Physical Techniques 3(3+0) CHEM342

CHEM443 Molecular Biology 3(3+0) CHEM342


CHEM444 Physiology and Immunology 3(3+0) CHEM342

CHEM445 Microbiology and Chemotherapy 3(3+0) CHEM342

CHEM446 Nutrition 3(3+0) CHEM342



Master of Sciences (M.Sc) Chemistry

Keeping in mind the requirements of the local society the Department also offer an MSc

Chemistry which is a two years master degree programme offered to students who have obtained

two year bachelor degree in the Science group with relevant courses. The programme is spread

over 4 semesters. In order to maintain the same standard and quality, students of this programme

take course with the BS Chemistry programme, which start from 5th semester at the BS level.

The Department offers courses in four specializations (Inorganic, Organic, Physical, and

Biochemistry) during the last year of MSc degree programme and in the last two semesters

students have to choose specialization of their own interest.

Semester Plan: The following semester is followed for MSc Chemistry programme:

Year 1 Semester I


CHEM311 Inorganic Chemistry I 4(3+1) CHEM212/**

CHEM321 Organic Chemistry I 4(3+1) CHEM222/**

CHEM331 Physical Chemistry I 4(3+1) CHEM234/**

CHEM341 Bio-Chemistry I 4(3+1) Nil

CHEM361 Environmental Chemistry 2(2+0) Nil

Year 1 Semester II


CHEM312 Inorganic Chemistry II 4(3+1) CHEM311

CHEM322 Organic Chemistry II 4(3+1) CHEM321

CHEM332 Physical Chemistry II 4(3+1) CHEM331

CHEM342 Bio-Chemistry II 4(3+1) CHEM341

CHEM351 Analytical Chemistry 2(2+0) Nil

Year 2 Semester III


CHEM4xx Elective –I 3(3+0)

CHEM4xx Elective –II 3(3+0)

CHEM4xx Elective –III 3(3+0)

CHEM4xx Elective –IV 1(0+1)

*CS101 Introduction to Computing 4(3+1)

CHEM491 Senior Design Project I 3(0+3)


Year 2 Semester IV Credit Hours Pre-Requisites

CHEM4xx Elective –V 3(3+0) CHEM312

CHEM4xx Elective –VI 3(3+0) CHEM312

CHEM4xx Elective –VII 3(3+0) CHEM312

CHEM4xx Elective –VIII 1(0+1) CHEM493

*ENG134 Communication Skills 3(3+0)

CHEM492 Senior Design Project II 3(0+3)


The Department offers various specializations to its students in the last stages of the programme.

Various latest courses are mentioned under each specialization category. Student will be required

to choose one category for their specializations. However, they can also take double

major/specialization with the consultation of the Department.

Inorganic Chemistry


CHEM411 Instrumental Methods Of Analysis 3(3+0) CHEM312

CHEM412 Inorganic Reaction Mechanism 3(3+0) CHEM312

CHEM413 Inorganic Polymers 3(3+0) CHEM312


CHEM414 Group Theory and Magnetochemistry 3(3+0) CHEM312

CHEM415 Organometallics 3(3+0) CHEM312

CHEM416 Nuclear chemistry 3(3+0) CHEM312


Organic Chemistry


CHEM421 Oxidation and Reduction 3(3+0) CHEM322

CHEM422 Reaction Mechanism 3(3+0) CHEM322

CHEM423 Organic Spectroscopy 3(3+0) CHEM322


CHEM424 Heterocyclic Chemistry 3(3+0) CHEM322

CHEM425 Natural Product Chemistry 3(3+0) CHEM322

CHEM426 Organic Synthesis 3(3+0) CHEM322


Physical Chemistry


CHEM431 Statistical Mechanics and 3(3+0) CHEM332


Thermodynamics

CHEM432 Surface and Polymer Chemistry 3(3+0) CHEM332

CHEM433 Chemical Kinetics and Photochemistrty 3(3+0) CHEM332


CHEM434 Nuclear Chemistry 3(3+0) CHEM332

CHEM435 Quantum and Thermochemistry 3(3+0) CHEM332

CHEM436 Spectroscopy 3(3+0) CHEM332


Biochemistry


CHEM441 Metabolism 3(3+0) CHEM342

CHEM442 Enzymology and Physical Techniques 3(3+0) CHEM342

CHEM443 Molecular Biology 3(3+0) CHEM342


CHEM444 Physiology and Immunology 3(3+0) CHEM342

CHEM445 Microbiology and Chemotherapy 3(3+0) CHEM342

CHEM446 Nutrition 3(3+0) CHEM342


M.Phil./Ph.D. Chemistry

Department of Chemistry also offer M.Phil./Ph.D. in chemistry. The M.Phil. programme can be

completed in two years which consists of four semesters. A total number of 30 credit hours (24

Theory + 6 Research) is required to complete this degree. For Ph.D. degree additional 18 credit

hours course work has to be completed. The minimum duration for getting Ph.D. degree is three

years. Various courses offered at graduate levels in inorganic, organic, physical and biochemistry

are listed below.

M. Phil. / Ph.D. PROGRAMMES

INORGANIC CHEMISTRY

S. No. Course

Code Title of Course Credit Hrs

1. CHEM511 Solid State Chemistry 03

2. CHEM512 FTIR and Multinuclear NMR

Spectroscopy 03

3. CHEM513 Chromatographic Methods 03

4. CHEM514 Mass Spectrometry and TGA 03

5. CHEM515 Special Topics in Inorganic Chemistry 03


6. CHEM516 X-ray Crystallography 03

7. CHEM517 Atmospheric Chemistry 03

8. CHEM518 Inorganic Electronic Spectroscopy 03

9. CHEM691 Research Thesis 06

10. CHEM519 Kinetics and Mechanisms of Inorganic

Reactions 03

11. CHEM611 Organo-transition Metal Chemistry 03

12. CHEM612 Advanced Atomic Spectroscopy 03


ORGANIC CHEMISTRY

S. # Course Code Title of Course Cr Hrs

1. CHEM521 Physical Methods 03

2. CHEM522 Advance Stereochemistry 03

3. CHEM523 Reactive Intermediates 03

4. CHEM524 Biosynthesis of Natural Products 03

5. CHEM525 Advance Organic Synthesis 03


7. CHEM526 Advance Oxidation Reduction 03

8. CHEM527 Retrosynthetic Organic Chemistry 03

9. CHEM721 Advance NMR Techniques 03


PHYSCIAL CHEMISTRY

S. # Course Code Title of Course Cr Hrs

1. CHEM531 Advance Thermodynamics 03

2. CHEM532 Instrumental Techniques 03

3. CHEM533 Advance Polymer Chemistry 03

4. CHEM534 Advance Surface Chemistry 03

5. CHEM535 Advance Electrochemistry 03

6. CHEM536 Advance Chemical Kinetics 03



8. CHEM537 Catalysis 03

9. CHEM538 Different Analytical Techniques Used in

Catalysis 03

10. CHEM539 Ion Exchange and Gas Chromatography (GC) 03



Biochemistry

S. # Course Code

Title of Course Cr Hrs

1. CHEM541 Biological Membranes 03

2. CHEM542 Molecular Endocrinology 03

3. CHEM543 Enzyme Kinetics 03

4. CHEM544 Carotenoids 03

5. CHEM545 Lipid Metabolism 03

6. CHEM546 Pesticide Biochemistry 02

7. CHEM547 Amino Acids Metabolism 02

8. CHEM548 Carbohydrate Metabolism 03


10. CHEM641 Sterols and Cholesterol Metabolism 03

11. CHEM642 Biochemistry of Antimicrobial Action 03

12. CHEM643 Isotopic Tracers in Biochemistry 03

13. CHEM644 Clinical Chemistry 02

14. CHEM645 Quantitative Problems and Interpretation of Data 01

15. CHEM646 Special Topics in Biochemistry 03

16. CHEM647 Pharmacophore Searching and Docking 03

17. CHEM648 Computational Biochemistry 03

18. CHEM649 Flavor Chemistry 03



Institute of Numerical Sciences

Introduction

Institute of Numerical Sciences is one of the established teaching/research institutes at the

University. The Institute offers different degree programs. The degree programs are in

accordance with the standards set by HEC. Aside from offering standard scholarly programs, the

Institute arranges workshops, seminars, conferences, and research meetings on most recent

subjects and issues. The current employees are very much qualified from acknowledged

universities of Pakistan and abroad. The staff acquires skills in different specialization territories,

for example, Optimization, Numerical Analysis, Statistics, Symmetry Methods, Partial

Differential Equations, Group Theory and Fluid Mechanics. The Institute has well-equipped

classrooms, computer labs, and a luxurious Auditorium.

Teaching Faculty:

The Institute of Numerical Sciences is known due to its exceptional workforce where the

Institute has pulled in some top-notch staff. The list of the respected faculty members are given

below.

Prof. Dr. Fida Youns Khattak Dean of the Faculty

Dr. Wali Khan Director/ Associate Professor

Dr. Abdus Saboor Associate Professor

Dr. Muhammad Shafiq Associate Professor

Dr. Muhammad Asif Jan Assistant Professor

Dr. Muhammad Abrar Assistant Professor

Dr. Abid Saeed Assistant Professor

Dr. Farhad Ali Assistant Professor

Dr. Abdul Ghafoor Assistant Professor

Dr. Nisar Ahmad Assistant Professor

Mr. Emel Khan Assistant Professor


Mr. Saqib Waheed Assistant Professor

Mr. Habib Shah Assistant Professor

Ms. Shamaila Batool Lecturer

Mr. Shahid Khhan Lecturer

Mr. Israr Ali Khan Lecturer

Mr. Jawad Ali Lecturer

Mr. Asad Ullah Lecturer (on contract)

Academic Programs:

The Institute offers the following undergraduate and graduate degree programs:

Undergraduate Degree Program (4 years)

BS in Mathematics (BS Math)

16 Year Master Degree (2 years Master after 14 years of education)

Master in Mathematics (MSc)

Graduate Degree Programs

Ph.D. in Mathematics

M.Phil. in Mathematics

BS Mathematics:

BS in Mathematics is a four-year degree program. This program is structured according to

national and global benchmarks. Alumni of this program are seeking after fruitful vocations in

the scholarly community and associations in Pakistan and abroad. This program is accredited by

the HEC.

Area of Specialization:

The Institute offers different specializations in the four-year BS degree. The understudies can

pick subjects from the specialty of their own interest. Nonetheless, the Department offers just

those specializations where the all-out number of understudies is more than 10. The educational


modules of BS Mathematics are partitioned into different classifications as appeared in the

underneath table:

Sr

#

Category Description Credit

Hours

1 University

Requirements

Courses under this category are compulsory which

are completed by all bachelor students at KUST.

24

2 Faculty Common

(Requirement)

Courses

Basic courses from The Faculty of Physical and

Numerical Sciences

22

3 Core Course Core courses related to the degree program as per


65

4 Technical Elective In the senior year students are provided opportunity

to choose area of specializations of their interest.

The Institute offers various important latest courses

for students, so they can choose market oriented

courses for their electives.

15

5 Senior Design

Project/Electives

In order to train students to tackle a project related

real world problems, senior design project is offered

that is spread over the last two semesters.

6

Total 123

BS Mathematics (Semester Plan)

The BS Mathematics degree program is divided into eight semesters as follows.


Year 1 Semester 1 Year 1 Semester II

XXX*** University Req.-I 3(3+0) None MATH102 Calculus-II 3(3+0) MATH101

MATH101 Calculus-I 3(3+0) None MATH103 Discrete Mathematics 3(3+0) None

XXX*** University Req.-II 3(3+0) None XXX*** University Req.-IV 3(3+0) None

XXX*** University Req.-III 3(3+0) None XXX*** University Req.-V 3(3+0) None

XXX*** Faculty-Req.-I 3(3+1) None XXX*** Faculty-Req.-II 4(3+1) None


MATH201 Calculus-III 3(3+0)

MATH102

MATH211 Group Theory 3(3+0) None

XXX*** Faculty-Req.-III 3(3+0) MATH10

1 MATH271 Ordinary Differential

Equations 3(3+0)

MATH101

MATH202 Number Theory 3(3+0) None MATH212 Linear Algebra 3(3+0) None

XXX*** Faculty-Req.-IV 3(3+0) None XXX*** Faculty-Req.-V 3(3+0) None

XXX*** University Req.-VI 3(3+0) None XXX*** Faculty-Req.-VI 3(3+0) None

XXX*** University Req.-VII 3(3+0) None XXX*** Faculty-Req.-VII 3(2+1) None


MATH325 Vector and Tensor Analysis

3(3+0) MATH212

MATH322 Real Analysis – II

3(3+0) MATH321

MATH321 Real Analysis-I 3(3+0)

MATH101

MATH331 Numerical Analysis – I

4(3+1) MATH321

MATH351 General Topology

3(3+0) None MATH332

Complex Analysis 3(3+0) MATH321

MATH371 Partial Differential 3(3+0) MATH27 MATHxxx Elective-II 3(3+0)/4 MATHxxx


Equations 1 (3+1)

MATH313 Rings & Fields

3(3+0) MATH211

MATHxxx Elective-III

3(3+0)/4(3+1)

MATHxxx

MATHxxx Elective-I

3(3+0)/4(3+1)

MATHxxx

XXX*** University Req.-VIII

3(3+0) None

Year 4 Semester VII Year 4 Semester VIII

MATH471 Mathematical

Modeling 3(3+0)

MATH271/MATH212

MATH472

Integral Equations

3(3+0) MATH271

MATH424 Functional Analysis 3(3+0) MATH21

2

MATH451 Differential Geometry 3(3+0)

MATH351

MATH431 Numerical Analysis-II

4(3+1) MATH331

MATHxxx Elective-IV

3(3+0)/4(3+1)

MATHxxx

MATHXXX/ MATH493

Elective/Report Writing & Presentation Skills

3(3+0)/4(3+1)

MATHxxx

MATHxxx

Elective-V 3(3+0)/4(3+1)

MATHxxx

MATHXXX/ MATH499

Elective/Senior Design Project-I

3(0+9)/3(3+0)/4(3+1)

MATHxxx

MATHXXX/

MATH499

Elective/Senior Design Project-II

3(0+9)/3(3+0)/ 4(3+1)

MATHxxx

Note: University Req.: University Requirement Courses, Faculty-Req.-: Faculty Requirement Courses


University Requirement Courses (24 CrHr to be completed from this list)

These courses are related to general education category. Some of the courses such as Islamic

studies, Pakistan studies and English are compulsory and must be studied by all students.

Students will be required to complete certain courses and credit hours from this list as per the

approved plan of the respective program.

Code Title

CrHr Pre-

Requisite
























As this program is offered by the Faculty of Physical and Numerical Sciences, therefore, there

are certain courses which are mandatory to be offered to strengthen the fundamental scientific

concepts of the students. Students will be required to complete 22 CrHr from the following list of

Subjects.











MATH105 Mathematics for Chemistry 3(3+0) None

PHY104 Introductory Electricity and

Magnetism

4(3+1) None












The following courses are the core courses those are compulsory for every student registered in

BS Mathematics degree program.


MATH101 Calculus-I 3(3+0) None

MATH101 Calculus-II 3(3+0) MATH101


MATH201 Calculus-III 3(3+0) MATH102

MATH202 Number Theory 3(3+0) None


MATH271 Ordinary Differential Equations 3(3+0) MATH101


MATH325 Vector and Tensor Analysis 3(3+0) MATH212

MATH321 Real Analysis-I 3(3+0) MATH101

MATH351 General Topology 3(3+0) None

MATH371 Partial Differential Equations 3(3+0) MATH271

MATH313 Rings & Fields 3(3+0) MATH211

MATH322 Real Analysis – II 3(3+0) MATH321

MATH331 Numerical Analysis – I 4(3+1) MATH321

MATH332 Complex Analysis 3(3+0) MATH321

MATH471 Mathematical Modeling 3(3+0) MATH271/M

ATH212


MATH431 Numerical Analysis-II 4(3+1) MATH331

MATH472 Integral Equations 3(3+0) MATH271

MATH451 Differential Geometry 3(3+0) MATH351

Technical Electives

An important aspect of the Mathematics curriculum is the Technical Elective courses. Students

are given choices towards the end of the program to choose specialization of their own interest.

Students are required to complete 15-20 CrHr from the following list of courses as per the

guidance of the Institute.



MATH434 Numerical Solution of PDEs 4(3+1) MATH331

MATH461 Analytical Dynamics 3(3+0) None

MATH462 Introduction to Special Relativity 3(3+0) None

MATH435 Cryptography 3(3+0) MATH202

MATH474 Discrete Dynamical Systems 3(3+0) MATH271

MATH332 Operations Research 4(3+1) MATH131

MATH361 Fluid Mechanics 3(3+0) MATH371

MATH423 Measure Theory & Integration 3(3+0) MATH321


MATH475 Introduction to Mathematical Biology 3(3+0) MATH271

MATH413 Theory of Modules 3(3+0) MATH313

MATH441 Stochastic Processes 3(3+0) MATH242

MATH312 Advanced Group Theory 3(3+0) MATH211

MATH432 Optimization Theory-I 4(3+1) MATH131

MATH433 Optimization Theory-II 4(3+1) MATH432

MATH412 Galois Theory 3(3+0) MATH313

MATH302 Set Theory & Mathematical Logic 3(3+0) None


The project is spread over two semesters. Students are required to work on a real-world problem

under the supervision of a senior faculty member. Students can complete this segment in group

form as well.


MATH499 Senior Design Project – I 3(0+9) None

MATH499 Senior Design Project – II 3(0+9) MATH499 Senior Design Project – I


Master of Mathematics (M.Sc) - 16 Years.

The Institute of Numerical Sciences offers two years undergraduate degree program under the title

‘Master of Mathematics (MSc)’. This program is offered for students who have obtained two years

conventional BSc degree with relevant courses, i.e., Maths A and Maths B. This degree program is

spread over four semesters. The year and semester wise details of MSc degree program are given

below.


1 General Education Courses under this category are compulsory


KUST.

6

2 Core Course Core courses related to the degree program as


53




important latest courses for students, so they can

choose market-oriented courses for their

electives.

12-16

4 Senior Design

Project/Electives


related real world problems, senior design

project is offered in the last semester.

3

Total 74-78

M.Sc Mathematics (Semester Plan)

The whole degree program is divided into four semesters as follows.



MATH321 Real Analysis-I 3(3+0) None MATH322 Real Analysis-II 3(3+0) MATH321

MATH211 Group Theory 3(3+0) None MATH212 Linear Algebra 3(3+0) None

MATH302

Set Theory and Mathematical Logic

3(3+0) None MATH313 Rings and Fields 3(3+0)

MATH211

MATH351 General Topology 3(3+0) None MATH323 Complex Analysis 3(3+0) MATH321

MATH271 Ordinary Differential Equations

3(3+0) None

MATH131 Computing Tools None

XXX** UR-I 3(3+0) None XXX** UR-II 3(3+0) None


MATH331 Numerical Analysis - I 4(3+1) MATH321

MATH431 Numerical Analysis - II

4(3+1) MATH331

MATH424 Functional Analysis 3(3+0) MATH212 MATH242 Mathematical Statistics-II

3(3+0) MATH241

MATH241 Mathematical Statistics

– I

3(3+0)

None

MATH451 Differential

Geometry

3(3+0) MATH351


MATH371 Partial Differential Equations

3(3+0) MATH271

MATHXXX Elective 3(3+0)/4(3+1)

MATHxxx

MATHxxx Elective 3(3+0)/

4(3+1) MATHxxx

MATHXXX Elective 3(3+0)/4(3+1)

MATHxxx

MATHXXX/ MATH493

Elective/Report Writing

and Presentation Skills 3(3+0)/

4(3+1) MATHxxx MATH494/

MATHXXX Project/ Elective 3(3+0)/4(

3+1)/3(0+9)

MATHxxx

List of University Requirement Courses

These courses are related to general education which are offered in various semester as per the

semester plan shown above. Students will be required to complete 6 CrHr from this list.

Code Title CrHr Pre-Requisite ENG112 Study Skills 3(3+0) None ENG253 Communication Skills 3(3+0) None CS101 Introduction to Computing * (3 3 4) None MS121 Principles of Management 3(3+0) None MS131 Human Resources Management 3(3+0) None MS311 Entrepreneurship 3(3+0) None SWS101 Introduction to Sociology 3(3+0) None SWS231 Social Psychology 3(3+0) None

List of Core Courses

The following courses are the core courses those are compulsory for every student registered in M.Sc.

Mathematics degree program.


MATH321 Real Analysis-I 3(3+0) None


MATH302 Set Theory and Mathematical Logic

3(3+0) None

MATH351 General Topology 3(3+0) None

MATH271 Ordinary Differential Equations 3(3+0) MATH101

MATH322 Real Analysis-II 3(3+0) MATH321


MATH313 Rings and Fields 3(3+0) MATH211

MATH323 Complex Analysis 3(3+0) MATH321

MATH131 Computing Tool None



MATH241 Mathematical Statistics - I 3(3+0) None

MATH371 Partial Differential Equations 3(3+0) MATH271



MATH431 Numerical Analysis - II 4(3+1) MATH331


MATH451 Differential Geometry 3(3+0) MATH351


List of Technical Elective:

Students are given choices towards the end of the program to select specialization of their own

interest. Students are required to complete 12-16 CrHr from the following list of courses as per

the guidance of the Institute.



MATH434 Numerical Solution of PDEs 4(3+1) MATH331

MATH461 Analytical Dynamics 3(3+0) None

MATH462 Introduction to Special Relativity 3(3+0) None

MATH435 Cryptography 3(3+0) MATH202

MATH474 Discrete Dynamical Systems 3(3+0) MATH271

MATH332 Operations Research 4(3+1) MATH131

MATH361 Fluid Mechanics 3(3+0) MATH371

MATH423 Measure Theory & Integration 3(3+0) MATH321

MATH475 Introduction to Mathematical Biology 3(3+0) MATH271

MATH413 Theory of Modules 3(3+0) MATH313

MATH441 Stochastic Processes 3(3+0) MATH242

MATH312 Advanced Group Theory 3(3+0) MATH211

MATH432 Optimization Theory-I 4(3+1) MATH131

MATH433 Optimization Theory-II 4(3+1) MATH432

MATH412 Galois Theory 3(3+0) MATH313

MATH302 Set Theory & Mathematical Logic 3(3+0) None

MATH471 Mathematical Modeling 3(3+0) MATH271


Senior design project is one of the important aspects this program. Students are required to work on a

real-world problems under the supervision of a senior faculty member. Students can complete this

segment in group form as well.


S.No Code Title Pre-Requisite CrHr

1 MATH493 Project None 3(0+9) 3

Master of Philosophy (M.Phil.) in Mathematics

M.Phil. in Mathematics is a two years graduate level degree program. The focus of this program is to

motivate students for research in newly developed areas of Mathematics. Students are also encouraged

to take part in the conferences and seminars arranged by KUST, other universities within country and

abroad. The graduates of this program are well qualified in job markets and other research organizations

Program Structure:

The whole program can be completed in two years that consists of four semesters and 30 CrHr.

The below table shows the overall structure of the program:


Core Courses 6 Two core courses are compulsory. A list of core






any change in the plan, the Department will

inform all students about it.

Elective Courses 18 A number of specialization/major areas have




chosen area.




forums.

Paper Publication/

Presentation





degree program.






M. Phil. Mathematics (Semester Plan):

The M. Phil. in Mathematics degree program is divided into four semesters as follows.


Req



MATH*** Core course I 3(3+0) None MATH*** Core course II 3(3+0) --

MATH*** Elective – I 3(3+0) None MATH*** Elective – III

3(3+0) --

MATH*** Elective – II 3(3+0) None MATH*** Elective – IV 3(3+0) --

Year 2 Semester III Year 2 Semester IV (upto Semester VIII if necessary)

MATH*** Elective – V 3(3+0) --

MATH699 Contd:

M.Phil Research

- 6(0+18) MATH*** Elective – VI 3(3+0) --

MATH699 M.Phil Research

6(0+18

) --


Students are required to study two core courses from the following.


MATH571 Advanced Mathematical Techniques None 3(3+0)

MATH511 Advanced Linear Algebra None 3(3+0)

MATH521 Complex Variables and Applications None 3(3+0)

MATH581 Research Methodology

None 3(3+0)

Elective (Student will be required to complete at least 18 CrHr from courses listed below)


MATH501 Departmental Seminar None 1(0+3)

MATH571 Advanced Mathematical Techniques None 3(3+0)

MATH535 Scientific Computing None 4(3+1)

MATH511 Advanced Linear Algebra None 3(3+0)

MATH512 Commutative Algebra-I None 3(3+0)

MATH513 Commutative Algebra-II MATH512 3(3+0)

MATH514 Theory of Semigroups None 3(3+0)

MATH515 One Parameter Semigroups None 3(3+0)

MATH521 Complex Variables and Applications None 3(3+0)

MATH522 Fixed Point Theory None 3(3+0)

MATH523 Theory of Group Graphs None 3(3+0)

MATH524 Geometric Function Theory None 3(3+0)

MATH525 Theory of Group Actions None 3(3+0)

MATH531 Unconstrained Optimization None 4(3+1)

MATH532 Constrained Optimization MATH531 4(3+1)

MATH533 Operations Research Techniques & Algorithms None 4(3+1)

MATH534 Linear Optimization None 4(3+1)

MATH541 Advanced Mathematical Statistics-I None 3(3+0)

MATH542 Advanced Mathematical Statistics-II MATH541 3(3+0)

MATH561 Viscous Flows and Boundary Layers None 3(3+0)

MATH562 General Relativity None 3(3+0)

MATH612 Homological Algebra-I None 3(3+0)

MATH613 Homological Algebra-II MATH612 3(3+0)

MATH614 Representations of Quivers and Finite Dimensional Algebras MATH612 3(3+0)

MATH621 Convolution in Geometric Function Theory MATH524 3(3+0)

MATH631 Advanced Numerical Analysis-I None 4(3+1)

MATH632 Advanced Numerical Analysis-II MATH631 4(3+1)

MATH633 Spline Theory None 4(3+1)

MATH634 Finite Element Method None 4(3+1)

MATH643 Generalized Linear Models MATH541 3(3+0)

MATH651 Theory of Manifolds None 3(3+0)

MATH673 Asymptotic Methods None 3(3+0)

MATH674 Dynamical Systems None 3(3+0)

MATH675 Mathematical Modeling in Systems Biology MATH674 3(3+0)


Code Title Pre-Req Cr Hrs

MATH699 M.Phil Research Thesis None 6(0+18)

PhD in Mathematics

The Institute of Numerical Sciences offers a very strong PhD program in various areas of Pure and

Applied Mathematics. This section briefly discusses the structure and courses of the PhD program.

Program Structure


The course work will be followed by Research Thesis.


Elective/Optional/Major 18 Several specialization/major areas have been

identified. Relevant courses for each



chosen area.



graduate/graduate program in the university.

Comprehensive

Examination








program.

Presentation NA A PhD student will be required to publish and

present one research paper in

national/international conference.




forums.



PhD Mathematics (Semester Plan)

The PhD degree program is divided into six semesters as follows.

S.No. Code Title Pre-Req Cr Hrs

Year 1, Semester I

1 MATH*** Elective – I

None 3(3+0)/ 4(3+1)

2 MATH*** Elective – II

None 3(3+0) / 4(3+1)

Year 1, Semester II

1 MATH*** Elective – III None 3(3+0) / 4(3+1)

2 MATH*** Elective – IV None 3(3+0) / 4(3+1)

Year 2, Semester III

1 MATH*** Elective – V None 3(3+0) / 4(3+1)

2 MATH*** Elective – VI None 3(3+0) / 4(3+1)

Year 2, Semester IV

1 MATH*** Non Credit Course - I None 0(3+0) / 0(3+1)

2 MATH*** Non Credit Course – II None 0(3+0) / 0(3+1)

Year 3, Semester V

1 MATH999 Thesis None 6(0+18)

Year 3, Semester VI (upto Semester XX if necessary)

1 MATH999 Thesis None 6(0+18)

Elective (Student will be required to complete at least 18 CrHr)

S. No Code Title Pre-Requisite CrHr 1 MATH731 Nonlinear Programming None 4(3+1) 2 MATH732 Numerical methods and Optimization techniques MATH632 4(3+1) 3 MATH733 Constraint Satisfaction for Decision Making MATH532 4(3+1) 4 MATH741 Multivariate Analysis-I MATH542 4(3+1) 5 MATH742 Multivariate Analysis-II None 4(3+1) 6 MATH772 Symmetry Methods for Differential Equations-I None 3(3+0) 7 MATH773 Symmetry Methods for Differential Equations-II MATH772 3(3+0) 8 MATH774 Special Functions-I None 3(3+0) 9 MATH775 Special Functions-II MATH774 3(3+0) 10 MATH831 Evolutionary Computing-I None 4(3+1) 11 MATH832 Evolutionary Computing-II MATH831 4(3+1) 12 MATH833 Combinatorial Optimization None 4(3+1) 13 MATH871 q-Special Functions MATH775 3(3+0)


Code Title Pre-

Requisite

CrHr

MATH 999 Thesis None 6(0+18)

Department of Physics

Introduction

The Department of Physics was established in 2004. At the beginning it offered BS (Hon) and

MSc Physics programs and attracted a good number of students. Later on the Department was

joined by highly qualified faculty, thereafter, an MPhil program was started in 2005 followed by

PhD program in 2008. We provide a family like environment where the students have access to

the teaching and research labs and most importantly to the staff/faculty. Up till now the

Department of Physics has produced 9-batches of MSc, 6-bathces of BS (Hons) and a good

number of MPhil graduates and a PhD student. The number of current enrolled students studying

in various programs is more than 200.

Teaching Faculty

A high qualified faculty joined the Department during the last few years. Besides its own faculty,

the department also gets support from other departments to teach specialized courses whenever

required. List of faculty members is given below:

Dr. Fida Younas Khattak (Dean Physical and Numerical Sciences)

Dr. Abdullah Yar (Chairman)

Dr. Muhammad Yaqoob Khan

Dr. Ikramullah

Dr. Rashid Ahmad

Dr. Fawad Ullah

Dr. Muhammad Sajjad

Dr. Sajid Khan

Dr. Matiullah Khan

Dr. Muhammad Adnan

Mr. Saqib Sharif (On PhD study leave)

Mr. Muhammad Sajid (On PhD study leave)

Areas of Specialization

Laser Physics

Nano-magnetism

Plasma Physics

Astrophysics

Particle Physics

Radiation detections

Materials Science

Density Functional Theory

String Theory

Academic Programs

The Department of Physics offers various levels of degree programmes i.e., undergraduate,

graduate and PhD.

Bachelor of Science in Physics – BS Physic:

BS Physics is a four year bachelor degree programme spans over eight semesters. The

programme is designed according to the national and international standards. Besides the regular

subjects being taught, the department also offers various specialization courses during the four

year degree programme. Students are given options to choose special course(s) of their own

interest in the last year of their study.

Eligibility Criteria for BS Programme

Candidates who are interested to take admission in BS Physics are requested to read prospectus

and official websites of the University for the Eligibility Criteria.

The curriculum of BS Physics is divided into various categories as shown in the below table:


1 University

Requirements/Gene

ral Education

Courses under this category are compulsory which are

completed by all bachelor students at KUST.

18

2 Faculty Common

(Requirement)

Courses

Basic courses from The Faculty of Physical and

Numerical Sciences

15

3 Core Course Core courses related to the degree programme as per


75

4 Technical Elective In the senior years students are provided opportunity

to choose area of specializations of their interest. The

Institute offers various important latest courses for

students so they can choose market oriented courses

for their electives.

24

5 Senior Design

Project/Electives

In order to train students to tackle a project related real

world problems, senior design project is offered that is

spread over the last two semesters. In lieu of Senior

Design projects students can take two elective (one

from each specialization as mentioned above)

3

Total 135

Semester Plans: The whole programme is divided into eight semesters as follows:

Code Title CrHr Pre-req Code Title CrHr Pre-req

Year 1, Semester I Year 1, Semester II

XXX*** Faculty Req. I 4(3+1) None PHY103 Waves and Oscillations 2(2+0) None

XXX*** Faculty Req. II 3(3+0) None PHY104 Introductory Electricity 2(2+0) None

XXX University-Req. I 3(3+0) None XXX*** Faculty Req. III 3(3+0) None

XXX University-Req. II 3(3+0) None XXX*** Faculty Req.-IV 3(2+1) None

XXX University-Req. III 3(3+0) None XXX University Req. IV 3(3+0) None

XXX University -Req. V 3(3+0) None

PHY191 Lab-I 1(0+1) None PHY192 Lab-II (0 6 2) None

Year 2, Semester III Year 2, Semester IV

PHY202 Basics of Magnetism 2(2+0) PHY104 PHY212 Quantum Mechanics-I 3(3+0) None

PHY211 Classical Mechanics 3(3+0) PHY101 PHY213 Fluid Mechanics 2(2+0) PHY103

CS102 Programming Fundamentals

4(3+1) CS101

PHY222 Mathematical Methods of Physics-II

3(3+0) PHY221

PHY221 Mathematical Methods of Physics-I

3(3+0) None

PHY271 Electromagnetic Theory-I 3(3+0) None

XXX*** Faculty-Req.-V 3(3+0) None PHY293 Data Analysis Techniques 2(2+0) None

ZOOL107 Introductory Biology 2(2+0) None XXX University-Req.-VI 3(3+0) None

PHY291 Lab-III 1(0+1) None PHY292 Lab-IV 1(0+1) None

Year 3, Semester V Year 3, Semester VI

PHY331 Thermodynamics 3(3+0) None PHY311 Statistical Mechanics 3(3+0) None

PHY341 Solid State Physics-I 3(3+0) None PHY352 Nuclear Physics-I 3(3+0) PHY212

PHY313 Quantum Mechanics-II 3(3+0) PHY212 PHY342 Solid State Physics-II 3(3+0) PHY341

XXX University-Req.-VII 3(3+0) None

PHY351 Atomic and Molecular Physics

3(3+0) PHY212

PHY371 Modern Optics 3(3+0) PHY271 PHY361 Computational Physics 3(3+0) PHY221

PHY391 Lab-V 1(0+1) None

Year 4, Semester VII Year 4, Semester VIII

PHY423 Special Theory of Relativity

3(3+0) PHY101

PHY451 Nuclear Physics-II 3(3+0) PHY352

PHY4xx Elective I 3(3+0) None PHY4xx Elective V 3(3+0) None

PHY4xx Elective II 3(3+0) None PHY4xx Elective VI 3(3+0) None

PHY4xx Elective III 3(3+0) None PHY4xx Elective VII 3(3+0) None

PHY4xx Elective IV 3(3+0) None PHY4xx Elective VIII 3(3+0) None

PHY491 Literature Survey and

Technical Report 1(1+0) None

PHY492 Technical Presentation 2(0+2) PHY491

List of University Requirement Courses (22 CrHr to be completed from this list):

These courses are related to general education category that are offered in various semesters as per the









































PHY104 Introductory Electricity and Magnetism 4(3+1) None



MATH241 Mathematical Statistics-I 3(3+0)

None

MATH242 Mathematical Statistics-II 3(3+0)

MATH241

MATH131 Computing Tools 3(2+1)

None






The Department offers various hi-tech courses for its Bachelor students to choose electives

courses in the last stages of the programme. The below table show a list of electives courses from

where students are required to take 24 CrHr.

Codes Title CrHr Pre-requisite

PHY405 Bio-Physics 3(3+0) PHY372,ZOOL107

PHY441 Superconductors and Applications 3(3+0) PHY342

PHY442 Semiconductor Devices and Applications 3(3+0) PHY342

PHY443 Material Characterisation Techniques 3(3+0) None

PHY444 Materials Science 3(3+0) None

PHY445 Nano-Physics and Technology 3(3+0) None

PHY446 Lithography 3(3+0) PHY331,PHY372,

CHEM101

PHY471 Principles of Lasers 3(3+0) PHY371

PHY472 Applications of Lasers 3(3+0) PHY471

PHY473 Optical Fibre and Applications 3(3+0) PHY371

PHY481 Plasma Physics 3(3+0) PHY372

PHY482 Physics of Laser Plasma Interactions 3(3+0) PHY471, PHY481

PHY483 Renewable Energy Sources 3(3+0) None

PHY484 Astrophysics 3(3+0) None

PHY452 Particle Physics 3(3+0) None

PHY422 String Theory 3(3+0) None

PHY424 General Theory of Relativity 3(3+0) None

PHY425 Cosmology 3(3+0) None

PHY426 Quantum Field Theory 3(3+0) None

PHY453 Nuclear Physics-II 3(3+0) PHY352

PHY498 Senior Design Project Part I 3(0+3) Courses related to project, as per

advisor

PHY499 Senior Design Project Part II 3(0+3)

Courses related to

project, as per

advisor

List of Non Credit Courses

S. No. Course Title

1 Literature/History of Civilization/Philosophy/Psychology/Logic/Ethics/other courses in

consultation with the advisor

Master of Science (MSc) Physics

MSc Physics is a two years degree program (16-years education) offered for those students who

have completed BSc degree (14-years education). The program spans over 4 semesters. The

eligibility criteria for admission and course wise distribution per semester are given as in the

following:

Eligibility Criteria for MSc Program

Candidates who are interested to take admission in MSc Physics are requested to read prospectus


Scheme of Studies for MSc Physics

Year 1 Semester I

Code Title CrHr Pre-requisite

PHY221 Mathematical Methods of Physics-I 3(3+0) None

PHY271 Electromagnetic Theory-I 3(3+0) None



ENG101 Study Skills 3(3+0) None

PHY191 Lab-I 1(0+1) None

Year 1 Semester II


PHY222 Mathematical Methods of Physics-II 3(3+0) PHY221

PHY372 Electromagnetic Theory-II 3(3+0) PHY271

PHY212 Quantum Mechanics-I 3(3+0) None

PHY331 Thermodynamics 3(3+0) None

ENG102 Communication skills 3(3+0) None

PHY192 Lab-II 3(3+0) None

Year 2 Semester III


PHY352 Nuclear Physics-I 3(3+0) PHY212

PHY341 Solid State Physics-I 3(3+0) None

PHY311 Statistical Mechanics 3(3+0) None

PHY313 Quantum Mechanics-II 3(3+0) PHY-212

PHY361 Computational Physics 3(3+0) PHY221

PHY291 Lab-III 1(0+1) None

Year 2 Semester IV


PHY351 Atomic and Molecular Physics 3(3+0) PHY212

PHY342 Solid State Physics-II 3(3+0) PHY341

PHY4xx Elective-I 3(3+0) ***

PHY4xx Elective-II 3(3+0) ***

PHY499 Project 3(3+0) None

PHY292 Lab IV 1(0+1) None

Master of Philosophy (MPhil) in Physics

MPhil Physics is a two years postgraduate degree program (18-years education) offered for those

students who have completed BS or MSc degree (16-years education) in Physics. The program

spans over 4 semesters. Each student is required to complete 24 credit hours (06 credit hours

compulsory + 18 credit hours optional) course work and 06 credit hours research work during the

MPhil program. The normal duration for the completion of MPhil Degree is 02 years and

maximum duration is 04 years as per HEC criteria. The eligibility criteria and course wise

distribution per semester is given as in the following:

Eligibility Criteria for MPhil Program

Candidates who are interested to take admission in MPhil Physics are requested to read

prospectus and official websites of the University for the Eligibility Criteria.

Programme Structure:

The whole programme can be completed in two years which consists of four semesters. A total

number of 30 credit hours is required to be completed by students for this degree. The below

table shows the overall structure of the programme:


Core 06 Two core courses are compulsory. A list of core


discipline as per the HEC criteria which will be offered

to students in the whole duration. Students will be

required to follow the semester plan as given in this

prospectus. In case there is any change in the plan, the

Department will inform all students about it.

Elective/Optional/M

ajor

18 A number of specialization/major areas have been

identified. Relevant courses for each specialization area

are listed. Students will be required to complete their

credit hours from the chosen area.

Thesis 06 Intensive research to be conducted in this course. The

University encourages Master students to publish their

research work at international forums.

Paper Publication/

Presentation


research paper from their thesis in HEC recognized

journal or give presentation in any national

conference/workshop during the entire degree program.


presentation in their research group during the entire

degree program.

Total 30 MPhil degree is awarded after successfully completion

of all of the above requirements.

Semester Plan

All courses and thesis are spread over 4 semester and two years.

Year 1 Semester I

Year 1, Semester II


PHY571 Advance Electromagnetic theory 3(3+0) None

PHY521 Advance Mathematical Methods of Physics 3(3+0) None

PHY5xx Elective – I 3(3+0) None

PHY5xx Elective – II 3(3+0) None


PHY5xx Elective – III 3(3+0) None

Year 2 Semesters III & IV

List of Elective Courses for M.Phil Physics Programme:

The Department offers a variety of courses under different specialties. The list of elective

courses is given below from which a student has to choose at-least 18 CrHr to fulfil minimum

credit hours requirements for this category.


PHY511 Advance Quantum Mechanics 3(3+0) None

PHY512 Advance Statistical Mechanics 3(3+0) None

PHY562 Advance Computational Physics 3(3+0) None

PHY541 Advance Solid State Physics 3(3+0) None

PHY578 Space Technology, Science and Applications 3(3+0) None

PHY549 Nanotechnology and Nano Materials 3(3+0) None

PHY676 Lasers, Optoacoustics, Spectroscopy 3(3+0) None

PHY632 Fundamental of Thermal Physics 3(3+0) None

PHY741 Dielectric and Optical Properties of Materials 3(3+0) None

PHY573 Lasers Physics 3(3+0) None

PHY675 Microwave Communication 3(3+0) None

PHY811 Magnetic Properties of Materials 3(3+0) None

PHY551 Advance Atomic and Molecular Physics 3(3+0) None

PHY5xx Elective – IV 3(3+0) None

PHY5xx Elective – V 3(3+0) None

PHY5xx Elective – VI 3(3+0) None


PHY5xx M.Phil Thesis 6(0+ 6) None

PHY552 The Theory of Atomic Collisions 3(3+0) None

PHY693 The Experimental Techniques in Physics 3(3+0) None

PHY553 Advance Particle Physics 3(3+0) None

PHY661 Digital Image Processing 3(3+0) None

PHY672 Advance Modern Optics and Laser Physics 3(3+0) None

PHY625 Signal Processing 3(3+0) None

PHY642 Superconductivity 3(3+0) None

PHY631 Low Temperature Physics 3(3+0) None

PHY554 Reactor Physics 3(3+0) None

PHY591 Medical Physics Instrumentation 3(3+0) None

PHY611 Satellite Orbit Determination and Simulation 3(3+0) None

PHY643 Physics of Thin Films 3(3+0) None

PHY644 Advance Semi Conductor Devices 3(3+0) None

PHY691 Electron Microscopy-I 3(3+0) None

PHY692 Electron Microscopy-II 3(3+0) None

PHY645 Advance Material Science 3(3+0) None

PHY646 Magnetic Resonance (EPR/NMR) 3(3+0) None

PHY694 Techniques in Experimental Solid State Physics 3(3+0) None

PHY695 Magnetic Resonance Imaging (MRI) 3(3+0) None

PHY696 Satellite Imaging Processing 3(3+0) None

PHY697 Ion’s Sputtering 3(3+0) None

PHY581 Advance Plasma Physics 3(3+0) None

PHY682 Advance Laser Plasma Interaction 3(3+0) None

PHY523 Advance String Theory-I 3(3+0) None

PHY624 Advance String Theory-II 3(3+0) None

PHY525 Geometry, Topology and Physics-I 3(3+0) None

PHY626 Geometry, Topology and Physics-II 3(3+0) None

PHY527 Super Symmetry and Supergravity 3(3+0) None

PHY522 Advance Quantum Field Theory 3(3+0) None

PHY754 Gauge/Gravity Duality

3(3+0) None

PHY857 Black holes 3(3+0) None

PHY655 Non commutative Field Theory 3(3+0) None

PHY756 F-Theory 3(3+0) None

PHY787 Atomic Physics in Hot Plasmas 3(3+0) None

PHY888 Laser Plasma Diagnostics 3(3+0) None

PHY691 Project/Research 3(3+3) None

PHY612 General Theory of Relativity 3(3+0) None

PHY542 Electronic Structure Theory 3(3+0) None

PHY543 Density Functional Theory 3(3+0) None

PHY 674 Luminescence and Applications 3(3+0) None

PH655 Luminescence in Solids 3(3+0) None

PHY555 Radiation Detection and Measurement 3(3+0) None

PHY623 Density Matrix Theory 3(3+0) None

Doctor of Philosophy (PhD) in Physics

PhD Physics is a postgraduate degree program offered for those students who have completed

MPhil degree (18-years education) in Physics. The normal duration of PhD Degree is 03 years

and maximum duration is 08 years as per HEC criteria. Each student is required to complete 18

credit hours course work and 06 credit hours research work as well as two non-credit courses (

Pass courses) during the PhD Degree program. The eligibility criteria and course wise

distribution per semester is given as in the following:

Eligibility Criteria for PhD Program

Candidates who are interested to take admission in PhD Physics are requested to read prospectus


Facilities for research at the Department: (list all labs and other facilities:

The department offers various Theoretical and Experimental facilities for the postgraduate

(MPhil and PhD) students. Student can do Theoretical research in various fields of their interest.

The department offers opportunities of experimental research in Laser Physics, Nano-magnetism

and Material Science.

A good number of MPhil students has been graduated in various Experimental and Theoretical

fields since its inception of the program. Currently there is a significant number of students are

enrolled in MPhil and PhD programs, doing their research work in different fields.

Programme Structure


The course work will be followed by Research Thesis. The below table shows all activities

which are required by a student to complete PhD degree from the Department of Physics.


Elective/Optional/Major 18 A number of specialization/major areas have




chosen area.



graduate/graduate programme in the university.

Comprehensive

Examination








program.




forums.



Semester Plan: The Department follows the following semester plan for the PhD degree

programme.

Year 1 Semester I

Course Code Course Title CrHr Pre-Requisite

PHYxxx Major Elective I 3(3+0)

PHYxxx Major Elective II 3(3+0)

PHYxxx Major Elective III 3(3+0)

Year 1 Semester II


PHYxxx Major Elective I 3(3+0)

PHYxxx Major Elective II 3(3+0)

PHYxxx Major Elective III 3(3+0)

Note: Comprehensive Examination – held after the course work is completed by student as per the

KUST PhD guidelines.

Year 2 Semester III


PHYxxx PhD Research Thesis --

Note: Thesis Proposal Defense held at end of 2nd year as per the KUST PhD guidelines.

Year 2 Semester IV



Year 3 Semester V



Year 3 Semester VI



Note: During the PhD studies, Year 2 Semester IV and Year 3 Semesters V & VI are dedicated to thesis

and research work. During this period student is working with the supervisor to complete his/her thesis

on time. In case student is unable to complete thesis on time, student will be required to request the

Department through his/her supervisor for extension in period. Final decision is made by the ASRB

whether to allow or disallow extension request.

List of PhD level course for PhD in Physics:

The Department offers a variety of courses under different specialties. The list of courses is

given below from which a student has to take at-least six courses with the consultation of the

Department.

Code Title CrHr

PHY511 Advance Quantum Mechanics 3(3+0)

PHY512 Advance Statistical Mechanics 3(3+0)

PHY562 Advance Computational Physics 3(3+0)

PHY541 Advance Solid State Physics 3(3+0)

PHY578 Space Technology, Science and Applications 3(3+0)

PHY549 Nanotechnology and Nano Materials 3(3+0)

PHY676 Lasers, Optoacoustics, Spectroscopy 3(3+0)

PHY632 Fundamental of Thermal Physics 3(3+0)

PHY741 Dielectric and Optical Properties of Materials 3(3+0)

PHY573 Lasers Physics 3(3+0)

PHY675 Microwave Communication 3(3+0)

PHY811 Magnetic Properties of Materials 3(3+0)

PHY551 Advance Atomic and Molecular Physics 3(3+0)

PHY552 The Theory of Atomic Collisions 3(3+0)

PHY693 The Experimental Techniques in Physics 3(3+0)

PHY553 Advance Particle Physics 3(3+0)

PHY661 Digital Image Processing 3(3+0)

PHY672 Advance Modern Optics and Laser Physics 3(3+0)

PHY625 Signal Processing 3(3+0)

PHY642 Superconductivity 3(3+0)

PHY631 Low Temperature Physics 3(3+0)

PHY554 Reactor Physics 3(3+0)

PHY591 Medical Physics Instrumentation 3(3+0)

PHY611 Satellite Orbit Determination and Simulation 3(3+0)

PHY643 Physics of Thin Films 3(3+0)

PHY644 Advance Semi Conductor Devices 3(3+0)

PHY691 Electron Microscopy-I 3(3+0)

PHY692 Electron Microscopy-II 3(3+0)

PHY645 Advance Material Science 3(3+0)

PHY646 Magnetic Resonance (EPR/NMR) 3(3+0)

PHY694 Techniques in Experimental Solid State Physics 3(3+0)

PHY695 Magnetic Resonance Imaging (MRI) 3(3+0)

PHY696 Satellite Imaging Processing 3(3+0)

PHY697 Ion’s Sputtering 3(3+0)

PHY581 Advance Plasma Physics 3(3+0)

PHY682 Advance Laser Plasma Interaction 3(3+0)

PHY523 Advance String Theory-I 3(3+0)

PHY624 Advance String Theory-II 3(3+0)

PHY525 Geometry, Topology and Physics-I 3(3+0)

PHY626 Geometry, Topology and Physics-II 3(3+0)

PHY527 Super Symmetry and Supergravity 3(3+0)

PHY522 Advance Quantum Field Theory 3(3+0)

PHY754 Gauge/Gravity Duality 3(3+0)

PHY857 Black holes 3(3+0)

PHY655 Non commutative Field Theory 3(3+0)

PHY756 F-Theory 3(3+0)

PHY787 Atomic Physics in Hot Plasmas 3(3+0)

PHY888 Laser Plasma Diagnostics 3(3+0)

PHY999 Project/Research 3(3+3)

PHY612 General Theory of Relativity 3(3+0)

PHY542 Electronic Structure Theory 3(3+0)

PHY543 Density Functional Theory 3(3+0)

PHY 674 Luminescence and Applications 3(3+0)

PH655 Luminescence in Solids 3(3+0)

PHY555 Radiation Detection and Measurement 3(3+0)

PHY623 Density Matrix Theory 3(3+0)

PASS COURSES (Not to be considered towards CGPA)

Code Title CrHr

PHY601 Seminars and Lectures 3(3+0)

PHY690 Laboratory techniques in Physics 3(3+0)

PHY680 Environmental Physics 3(3+0)

PHY600 Practicum in teaching of Physics (Repeated) 3(3+0)

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