Indian Institute of Technology Delhicepqip.iitd.ac.in/pdf/HK_NMAK_MM_TEQIP_brochure (1).pdf ·...
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Indian Institute of Technology Delhi TEQIP-III Sponsored Short-Term Course MACHINE LEARNING FOR ENGINEERING APPLICATIONS IIT Delhi Campus, New Delhi 9 th – 13 th December 2019 About IIT Delhi IIT Delhi is one of the oldest technological institutes in India. The institute has nearly 35 academic units that imparts knowledge on Engineering, Science, Design, Social Science, among others. IIT Delhi has been instrumental in providing solutions to the technological and societal problems through its academic and research activities. IIT Delhi has been consistently placed among top academic universities around the globe, and as per the recent QS University ranking, the institute stands at 61 st in the list of Engineering and Technology domain. Recently, IIT Delhi has been elevated to the status of “Institution of Eminence” by Govt. of India. Scope of the Course The aim of the course is to introduce the relevance of machine learning in a wide range of academic and industrial problems relevant to various engineering disciplines. Topics of the sessions will include the basics of widely used algorithms for linear and non-linear regressions such as elastic net, principal component regression, support vector machine, and neural networks. This will be achieved through: (i) lectures, (ii) short projects (both individual and group) and (iii) hands-on session through various software packages. Learning Outcomes • Appreciate the role of machine learning in engineering disciplines • Understand machine learning algorithms • Use data mining to predict hidden trends • Make appropriate decisions employing data- based modelling • Gain hands-on experience on open source packages for machine learning algorithms Course Contents Data Analysis; Probability Distributions – Discrete and Continuous; Estimation and Hypothesis Testing; Linear Regression and its Derivatives – Partial Least Squares, Principal Component Analysis, Lasso, Ridge and Elastic Net; Estimation and Inference; Non-Linear Regression: Support Vector Machine, Neural Networks, Gaussian Process Modelling; Classification and Clustering; Engineering Applications and Hands-on sessions. Course Faculty Prof. N.M. Anoop Krishnan, Department of Civil Engineering, IIT Delhi Prof. Manoj M., Department of Civil Engineering, IIT Delhi Prof. Hariprasad Kodamana., Department of Chemical Engineering, IIT Delhi Target Audience The course is designed for faculty members all Engineering Disciplines from TEQIP-III institutes. Accommodation and Travel Boarding and lodging will be arranged for the selected candidates, as per TEQIP-III norms, on twin-sharing basis from 08 th Dec 2019 (night) to 12 th Dec 2019 (night). Participants who need onsite accommodation are requested to indicate the same in the application form. TA will be provided for the participants from their hometown to IIT Delhi up to a maximum of the 3 rd a/c train fare Registration Interested candidates, meeting the application criteria, have to fill the attached registration form. Please email the duly filled registration form to Ms. Nikita Gupta ([email protected]) for the
Transcript of Indian Institute of Technology Delhicepqip.iitd.ac.in/pdf/HK_NMAK_MM_TEQIP_brochure (1).pdf ·...
Indian Institute of Technology Delhi TEQIP-III Sponsored Short-Term Course
MACHINE LEARNING FOR ENGINEERING APPLICATIONS
IIT Delhi Campus, New Delhi 9th – 13th December 2019
About IIT Delhi
IIT Delhi is one of the oldest technological institutes in India. The institute has nearly 35 academic units that imparts knowledge on Engineering, Science, Design, Social Science, among others. IIT Delhi has been instrumental in providing solutions to the technological and societal problems through its academic and research activities. IIT Delhi has been consistently placed among top academic universities around the globe, and as per the recent QS University ranking, the institute stands at 61st in the list of Engineering and Technology domain. Recently, IIT Delhi has been elevated to the status of “Institution of Eminence” by Govt. of India. Scope of the Course
The aim of the course is to introduce the relevance of machine learning in a wide range of academic and industrial problems relevant to various engineering disciplines. Topics of the sessions will include the basics of widely used algorithms for linear and non-linear regressions such as elastic net, principal component regression, support vector machine, and neural networks. This will be achieved through: (i) lectures, (ii) short projects (both individual and group) and (iii) hands-on session through various software packages.
Learning Outcomes
• Appreciate the role of machine learning in engineering disciplines
• Understand machine learning algorithms • Use data mining to predict hidden trends
• Make appropriate decisions employing data-based modelling
• Gain hands-on experience on open source packages for machine learning algorithms
Course Contents
Data Analysis; Probability Distributions – Discrete and Continuous; Estimation and Hypothesis Testing; Linear Regression and its Derivatives – Partial Least Squares, Principal Component Analysis, Lasso, Ridge and Elastic Net; Estimation and Inference; Non-Linear Regression: Support Vector Machine, Neural Networks, Gaussian Process Modelling; Classification and Clustering; Engineering Applications and Hands-on sessions.
Course Faculty
Prof. N.M. Anoop Krishnan, Department of Civil Engineering, IIT Delhi Prof. Manoj M., Department of Civil Engineering, IIT Delhi Prof. Hariprasad Kodamana., Department of Chemical Engineering, IIT Delhi
Target Audience
The course is designed for faculty members all Engineering Disciplines from TEQIP-III institutes.
Accommodation and Travel
Boarding and lodging will be arranged for the selected candidates, as per TEQIP-III norms, on twin-sharing basis from 08th Dec 2019 (night) to 12th Dec 2019 (night). Participants who need onsite accommodation are requested to indicate the same in the application form. TA will be provided for the participants from their hometown to IIT Delhi up to a maximum of the 3rd a/c train fare
Registration
Interested candidates, meeting the application criteria, have to fill the attached registration form. Please email the duly filled registration form to Ms. Nikita Gupta ([email protected]) for the
registration. Once the candidate is shortlisted he/she has to deposit a fully refundable token registration fee of Rs. 2000/- to IIT Delhi CEP account online (details attached). Registration amount is fully refundable once the participant attends all the sessions of the program.
Deadline for registration: 05-October-2019
Confirmation of registration: 10-October-2019
Deadline for payment: 17-October-2019
Day 1: Introduction
Forenoon: 09:00 hrs – 13:00 hrs
Introduction to engineering applications of machine learning, cases and examples, Introduction to data cleaning and visualization
Afternoon: 14:00 hrs – 17:00 hrs
Hands own sessions in computational lab:
Installation and basic programming operations on
R and Python
Day 2: A quick dive into the theory of statistical methods
Forenoon: 09:00 hrs – 13:00 hrs
A quick dive into the theory of statistical methods such as hypothesis testing, basics of regression and analysis
Afternoon: 14:00 hrs – 17:00 hrs
Hands own sessions in computational lab:
Statistical analysis using R
Day 3: Going deep into of theory of machine learning
Forenoon: 09:00 hrs – 13:00 hrs
Introduction to theory of machine learning: classification, clustering, and re-visiting regression.
Afternoon: 14:00 hrs – 17:00 hrs
Hands own sessions in computational lab:
Machine learning using Python
Group projects and problem definitions
Day 4: Problem solving using machine learning
Forenoon: 09:00 hrs – 13:00 hrs
Afternoon: 14:00 hrs – 16:30 hrs
Group projects in computational lab: Using Python/R
Submission of projects
Day 5: Lessons learnt and takeaways
Forenoon: 09:00 hrs – 13:00 hrs
Review of the projects and presentations
Afternoon: 14:00 hrs –
Feedback and lessons learnt
Contacts: Prof. Hariprasad Kodamana Department of Chemical Engineering Indian Institute of Technology Delhi Hauz Khas, New Delhi – 110016 Ph: 011-265961024 [email protected]
Prof. N. M. Anoop Krishnan Department of Civil Engineering Indian Institute of Technology Delhi Hauz Khas, New Delhi – 110016 Ph: 011-2659-1223 [email protected]
Prof. Manoj M. Department of Civil Engineering Indian Institute of Technology Delhi Hauz Khas, New Delhi – 110016 Ph: 011-2659-1219 [email protected]
TEQIP-III/RF/1
PARTICIPANT REGISTRATION FORM
1. Name: Prof./Dr./Mr./Ms: _________________________________________________________________
2. Designation: ___________________________________________________________________________
3. Department: ___________________________________________________________________________
4. University/Institute: ____________________________________________________________________
5. Address: _____________________________________________________________________________
_____________________________________________________________________________________
6. Email ID: ____________________________________________________________________________
7. Mobile/Phone: ________________________________________________________________________
Place: ………………..…… Date: …………………..….
Signature of the Applicant
Signature of Principal or Head of Institution (Forwarding by the Principal/ Head of the Institution)
INDIAN INSTITUTE OF TECHNOLOGY DELHI TEQIP -III
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Phone : +91-1 1-26597 1|1g, 26591343E-mail : [email protected]
[email protected] : http://cepqip.iitd.ac.in
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FACILITY FOR RECEIVTNG PAYMENT
A. DETAIL OF ACCOUNT HOLDER
NAME OF ACCOUNT HOLDER !ITD CEP ACCOUNTCOMPLETE CONTACT ADDRESS
TELEPHoNE NUMBER/EMAt L
1st floor, Wing-B, Vishwakarma Bhawant_[PSUiIggKhas, New Delhi- 110 016011-255913 43, Ott-26591915, 011_26597996E-mail: [email protected]
BRANCH NAME WITH COMPTETE
lFS CODE OF THE BRANCH
TYPE OF BANK ACCOUNT
CURRENCY IN WHICH THE ACCOUNT
B. BANK ACCOUNT DETAILS
llTD PAN No. AAATl0393tGST No. 07AAATt0393LtZt
STATE BANK OF INDIAADDRESS INDIAN INSTITUTE OF TECHNOLOGY,
HAUZ KHAS, NEW DELHI-110016s8rN0001077110002156SAVING ACCOUNT
INT IS HELD
35819334799SBININBB54T!NDIAN RUPEES
signature of the ffifqstituteHas l$m, t{ry Dohl-110016. tndia
furnished above are correct and signature of Authorized Signatories are
{Wsignature of the Competenthuthirity Official of the Bank(with Bank's Stamp)
Erqtdq : gerq dE[, q-{q, {rSE dfd friE T{ kdfr-110 016
I hereby declare that the particulars given above are correct and complete. \W'DEBRANJAN MI'ICIER.'EEDate: lg - D ?- zo11
Certified that the particularsverified as per our records
officeAdd. : 1st Floor, Vishwakarma Bhawan, saheed Jeet singh Marg, New Derhi- 110 016
Date:
BANK ACCOUNT NO.
