14th November, 2018 - 18th November, 2018
INDIAN INSTITUTE OF TECHNOLOGY, KANPUR (INDIA)
ABOUT
OVERVIEW:
Data Analytics is the scientific process of transforming data so that we can develop insights for making enhanced and prudent decisions. Operations Research (OR) is concerned with developing modeling and analysis tools to help make better decisions. OR modeling was always informed by statistical methodologies, and the new data analytics techniques are having a similar impact. This advanced course on Data Analytics for Operations Research is focused on exploring the synergy between these two domains of knowledge: tools for efficiently solving optimization problems that arise in data analytics, and understanding how to use insights from modern data analytics to design improved decision making models.
Course Co-ordinator
Dr. Raghu Nandan Sengupta
Professor, IME Department, IIT Kanpur
Phone: +91-512-259-6607 (O)
Cell: +91-99843-86557
E-mail: raghus@iitk.ac.in
Dr. Raghu Nandan Sengupta
Professor, IME Department, IIT Kanpur
Phone: +91-512-259-6607 (O)
Cell: +91-99843-86557
E-mail: raghus@iitk.ac.in
Recent Updates and Notifications
We will survey a range of data analytics techniques including regression, classification, clustering, and Bayesian models, and a range of optimization techniques, including linear, integer and non-linear optimization, large scale optimization, and optimization under uncertainty.
OBJECTIVES:
Today, the data underlying many practical decision making problems is in tera and peta bytes, and in order to develop good decision making methodologies, one needs an excellent background in three different areas: modern statistical and machine learning techniques for data analysis, optimization modeling and methods, and large scale computing and data base management. This course titled Data Analytics for Operations Research is envisioned to give the students an in-depth and rigorous grounding in modern methods in large-scale optimization and data analytics. Participants of this course will be given the theoretical rigour and practical experience necessary for solving data-driven decision problems in a wide variety of application areas, e.g. business analytics, data science, project management, and portfolio management.
COURSE DETAILS:
Regression, Logistic regression, LASSO, Classification, Support vector machines (SVMs), Clustering, Bayesian Models, Markov Chain Monte Carlo (MCMC) methods, Linear and convex optimization, integer optimization, stochastic and robust optimization.
INTENDED AUDIENCE
- Academically oriented good post graduate and doctoral students, well trained faculty members, who have an aptitude and interest in Statistics, Mathematics, Engineering, Social Science, Quantitative and Operations Research, Data Sciences, etc., and are keen to utilize the advanced topics of Data Analysis and Operations Research to further their knowledge in their respective academic and professional fields.
- Dynamic professionals from government organization, private sectors, related industries, working in areas related to data analytics, data science, etc,. who wish to gain extensive knowledge in fields, related to mathematical modeling, statistical techniques, optimization, operations research, machine learning, etc.
- People in academia and industry (e.g., health, logistics, social networking, government organization, airline, computing, ICT firms, etc.,) or anyone keen to gain expertise in areas of Big Data usage, through development of statistical software, application of quantitative methods, etc., in their respective sphere of functioning in order to contribute more fruitfully.
BENEFITS:
- Equip the participants with innovative problem solving capabilities in different areas of data analysis using existing and new tools from Operations Research through interactive class lectures and discussions through advanced course materials.
- Make the participants/students well versed in different theoretical as well as practical nuances of data analysis using concepts of operations research, statistical techniques and machine learning through hands on tutorials.
- Build as well as enhance the existing ambit of knowledge and skill sets of the participants/students through rigorous theoretical as well as problem solving methods.
INSTRUCTORS
Garud IYENGAR Columbia University (USA)
Manindra AGARWAL Indian Institute of technology, Kanpur (India)
Piyush RAI Indian Institute of Technology, Kanpur (India)
Shankar PRAWESH Indian Institute of Technology, Kanpur (India)
Raghu Nandan SENGUPTA Indian Institute of Technology, Kanpur (India)
AGENDA
Linear regression, bias-variance decomposition, subset selection, Shrinkage methods, e.g. ridge regression and LASSO. Convex quadratic programs with constraints. Convex optimization problems and global optimality, Sparsity via L1 norms and linear optimization, Mixed 0-1 quadratic optimization problems, Regularization as robust optimization, Tutorials/Problem solving.
Regression with a Gaussian process prior. Logistic regression and Generalized Linear Models (GLMs), k-nearest neighbors, Optimal Bayes classifier, Naive Bayes, Empirical risk minimization (ERM), Gradient descent and stochastic gradient descent algorithms for large scale ERM, Classification and regression using SVMs, Kernel methods and the kernel “trick”, Hilbert spaces and Representing Kernel Hilbert Spaces (RKHS), Constrained convex programs and Alternating Direction Method of Multipliers (ADMM), Tutorials/Problem solving.
Resampling Methods for model assessment and selection, cross-validation methods, Bootstrapping Aggregation (Bagging), Clustering Algorithms, k-means, k-medoids and kernel k-means clustering, Mixed 0-1 linear programs, Problem solving.
Principal components analysis (PCA), kernel PCA, SVD and numerically stable methods for SVD, Matrix decomposition techniques, Non-negative matrix decomposition, Page Rank, Matrix decomposition using nuclear norm, ADMM for matrix decomposition, Expectation-Maximization (EM) Algorithm, EM Algorithm, Applications include clustering via normal mixture models, the general EM algorithm via Kullback-Leibler divergence, Tutorials/Problem solving.
Applications to revenue management and pricing, Empirical likelihood methods, Comparison with Bayesian methods, Information divergence, distributionally robust optimization, Optimal transport methods, Wasserstein metric and robust optimization, Group Presentation/Examination.
REGISTRATION
Payment Details (inclusive of GST): The total number of seats (approximately 50 in number) for the workshop are limited. Hence the applicants are advised to send their application at their earliest convenience. The participation fees for taking the course is as follows:
The above fee include all instructional materials, computer use for tutorials and assignments, laboratory equipment usage charges, 24 hr free internet facility. The participants will be provided with accommodation on payment basis.
IMPORTANT NOTES
Important Dates
| 1st round (after payment/form is received): | 15-Oct-18 (2400 hours (IST)) |
| 2nd round (after payment/form is received): | 31-Oct-18 (2400 hours (IST)) |
| 3rd round (after payment/form is received): | 10-Nov-18 (2400 hours (IST)) |
| Workshop: | 14-Nov-18 to 18-Nov-18 |
Important for Participants
If you are making an ONLINE application, you need to make the N.E.F.T. transfer of the workshop's fees as per your category. The Category and the corresponding fees is mentioned below:
Candidates, applying ONLINE, make sure that you need to make your application using a valid E-MAIL ID. All correspondence will be made through E-MAIL only.
Make sure you provide all the correct information before submitting your application. In case you have made some error while making your application, you can still edit your response. Editing option will be CLOSED ONE week before the workshop.
Make sure you follow the given rules while UPLOADING the attachments:
Candidate's Photograph:
Recent Photograph
Self-Attested Passport Photocopy (Foreign Nationals only)
N.E.F.T. Payment Receipt/Demand Draft
BONAFIDE OFFICIAL LETTER both duly stamped/signed by head of organization/company/institute/college/university) to claim in which Category/Type of Participation you belong
The workshop registration fee includes course materials, notes, reading material, kit for the workshop, access to net facilities, snacks and lunch (in between the workshop for ALL the five (05) days of the workshop).
Participants are required to bring their own laptops for the hands-on sessions.
| Category/Type of Participation | Workshop registration fee |
|---|---|
| Foreign National | USD 500 (five hunderd only) |
| Industry Professionals | INR 15,000 (fifteen thousand only) |
| Faculty Members | INR 10,000 (Ten Thousand only) |
| Students (MSc/MTech/Phd/MPhil,MBA etc.) | INR 5,000 (Five Thousand only) |
ONLINE PAYMENT
Payment need to made into the following account:
| Bank A/C | 10426002126 |
| Name of A/C Holder | Registrar, IIT Kanpur |
| GSTIN Number | 09AAAJI0169A3ZL |
| Bank Name | State Bank of India (SBI) |
| Branch | IIT Kanpur, Kanpur – 208016, INDIA |
| Phone Number | +91-512-333/392/679-0592 |
| sbi.01161@sbi.co.in | |
| Branch Code | 01161 |
| IFC Code (For NEFT/RTGC) | SBIN0001161 |
| MICR Code | 208002041 |
| SWIFT Code | SBININBB499 |
| File Size: | Less than 1 MB |
| Image Dimension: | Width-150px; height-150px |
| Image Type: | Any "Image" type file is accepted (*.JPG, *.PNG, etc.) |
| File Name: | "Your Name_photo.JPG" |
Candidate's Passport (Only Foreign Nationals):
| File Size: | Less than 1 MB |
| Image Type: | ONLY *.PDF is accepted |
| File Name: | "Your Name_passport.PDF" |
Candidate's Bonafide:
| File Size: | Less than 1 MB |
| Image Type: | ONLY *.PDF is accepted |
| File Name: | "Your Name_bonafide.PDF" |
Candidate's N.E.F.T. payment receipt:
| File Size: | Less than 1 MB |
| Image Type: | ONLY *.PDF is accepted |
| File Name: | "Your Name_payment.PDF" |
Candidate's Signature:
| File Size: | Less than 1 MB |
| Image Dimension: | Width: 300 px, Height: 100 px; |
| Image Type: | Any "Image" type file is accepted (*.JPG, *.PNG, etc.) |
| File Name: | "Your Name_sign.JPG" |
OFFLINE PAYMENT
You can also make the payment through an A/C Payee Bank DEMAND DRAFT, payable to Registrar, IIT Kanpur and drawn at State Bank of Indian, Branch: IIT Kanpur (001161).
When filling the Registration form please Add:
All attachements needs to be send (along with the application form, marked GIAN - Data Analytics for Operations Research) to:
Dr. Raghu Nandan Sengupta,
IME Department, IIT Kanpur,
Kanpur - 208016, Uttar Pradesh (INDIA).
Important for Participants (Especially Foreigners)
Check the weather before you board the flight/train, etc.
Drink bottled water, do not take any food/fruits/eatables offered to you or which is not clean.
Carry you personal belongings/money/passport carefully.
Accomodation
Accommodation is available on a payment basis (this amount is NOT included under workshop registration fee) and information about types of stay is available below:
S.No. Accomodation Type Details 01 Visitors’ Hostel (VH) VH (Boarding and Accommodation Charges for Visitors' Hostel & Rental Charges for Facilities at VH & Allied Services CLICK HERE 02 Visitors’ Hostel Extension (VH-E) VH-Extension (Tariff Plan for Main Auditorium & Boarding and Accommodation Charges for Visitors' Hostel Extension CLICK HERE 03 Students’ Hostel Dean of Student's Affair website. For accomodation call course co-ordinator IMMEDIATELY so that you can mention your preference.
THE VENUE
Indian Institute of Technology, Kanpur (IIT Kanpur) is one of the premier technical institutions established in 1959 by the Government of India with the collaboration of a consortium of nine universities from the USA. IIT Kanpur goal and mission is to provide meaningful education, to conduct original research of the highest standard and to provide leadership for the growth of this country.
At present IIT Kanpur has a sprawling residential campus of 1055 acres with about 3500 undergraduate and 1500 postgraduate students, 400 faculty members and more than 1500 supporting staff. The institute has a well designed faculty building, fully equipped classrooms, seminar and conference rooms, computer science building, biological sciences building, residential quarters for the faculty & staff members, hostels for the students, an excellent library, etc. The presence of lush green trees, manicured lawns, wide roads make the campus picturesque and well endowed.
IIT Kanpur has always strived to develop itself into an institution of excellence in education and research in consonance with the contemporary and future needs of India. The institute has made special efforts to recruit talented faculty on a worldwide basis and admits students in the different programs from all over the country by a very careful selection process.
In addition to offering formal undergraduate, post-graduate and Ph.D. programs, the institute has also been involved in continuing education and research & development in areas of value to both the industry and the society. The vision of the institute is to emerge as an international centre of excellence in all facets of technical and management education by being a melting pot of academia, industry and research, but at the same time being rooted in Indian ethos and societal values.
How to reach Indian Institute of Technology Kanpur, INDIA
The campus of IIT Kanpur is located off the Grand Trunk Road (NH-91) near Kalyanpur, about 16 km west of Kanpur city one of the biggest in the state of Uttar Pradesh of INDIA.
From New Delhi to Kanpur: To reach Kanpur one can avail either train from New Delhi station (NDLS) to Kanpur Central Railway station (CNB) or take a flight from Indira Gandhi International Airport/New Delhi Airport (DEL) to Chaudhary Charan Singh International Airport (LKO).
From Kanpur Central Railway station (CNB): Kanpur Central Railway station (CNB) is well connected to most cities in North, East and Central India. It is located on the Delhi-Kolkata train route and all major trains between these cities usually pass through Kanpur. The campus is located at a distance of about 20 kilometers from the Kanpur Central Railway Station (CNB), hence participants (one should always exit from platform # 01) can pre-book the taxi. Typical cost for campus taxis will be Rs. 400 (+35 Parking ). It is also possible to hire taxis (about Rs. 350)/Ola (about Rs. 250)/Autorickshaws (about Rs. 250) to IIT Kanpur campus from the Kanpur Central Railway Station (CNB). It takes about 40 minutes to drive from Kanpur Central Railway Station (CNB) to IIT Kanpur
From Lucknow Chaudhary Charan Singh International Airport (LKO): Chaudhary Charan Singh International Airport (LKO) is located about 80 kms from IIT Kanpur. Participants can pre-book the taxi. Typical cost will be Rs. 1800. Once can also book pre-paid (about 1700)/Ola (about 1700). It takes about 2 hours to drive from Chaudhary Charan Singh International Airport (LKO) to IIT Kanpur
CONTACTS and USEFUL LINKS
