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M.Tech. (Computational and Data Science) Student Orientation

M.Tech. (Computational and Data Science) Student Orientation. M.Tech. (CDS) Course Structure. Duration: 24 Months ( Aug 20xx - June 20xx+2 ) (Ex: xx=1 8 ) Hard Core: 1 4 credits Courses: 1 3 credits Research Methods: 1 credit (soft skills course)

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M.Tech. (Computational and Data Science) Student Orientation

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  1. M.Tech. (Computational and Data Science) Student Orientation

  2. M.Tech. (CDS) Course Structure Duration: 24 Months (Aug 20xx - June 20xx+2) (Ex: xx=18) • Hard Core: 14 credits • Courses: 13 credits • Research Methods: 1 credit (soft skills course) • Soft Core: 10 credits minimum (atleast three courses) • Dissertation: 28 credits (from May 20xx – June 20xx+1) • Electives: Rest (64 – (14+softcore three course credits + dissertation 28 credits)) credits (Students may credit CDS electives/soft core or other department courses) Total: 64 credits (31 Credits for the First Year is Mandatory)

  3. M.Tech. (CDS) Course Structure • Hard Core: 14 credits • Courses: 13 credits • DS 221 AUG 3:1 Introduction to Scalable Systems (VSS/YS)  • DS 284 AUG 2:1 Numerical Linear Algebra (MV) • DS 288 AUG 3:0 Numerical Methods (PY)  • DS 294 JAN 3:0 Data Analysis and Visualization (AC)  • Research Methods: 1 credit (soft skills course) • DS 200 AUG 0:1 Research Methods (to be taken in the AUG term of Second year)

  4. M.Tech. (CDS) Course Structure • Soft Core: 10 credits minimum (at least three courses) • DS 201 AUG 2:0 Bioinformatics (KS/DP) • DS 211 AUG 3:0 Numerical Optimization (DS)   • DS 290 AUG 3:0 Modelling and Simulation (SR) • DS 256 JAN 3:1 Scalable Systems for Data Science (YS)  • DS 289 JAN 3:1 Numerical Solution of Differential Equations (AK) • DS 295 JAN 3:1 Parallel Programming (SV) 

  5. M.Tech. (CDS) Course Structure • Dissertation DS 299: 28 credits (from May 2020 – June 2021) • After 2 semesters • Important part of program • Close to 14 months (Mini Ph.D.) • Comprehensive experience on applying computational and data sciences techniques • Summer: 4 Credits • Next 2 semesters: 8+16 credits

  6. M.Tech. (CDS) Course Structure • Electives: Rest (64 – (14+softcore three course credits + dissertation 28 credits)) credits (Students may credit CDS electives/soft core or other department courses) CDS Electives: DS 263 AUG 3:1 Video Analytics (RVB/AC) DS 291 Aug 3:1 Finite Elements: Theory and Algorithms (SG) DS 323 Aug 1:1 Parallel Computing for Finite Element Methods (SG) DS 255 JAN 3:1 System Virtualization (JL) DS 260 JAN 3:0 Medical Imaging (PY) DS 265 JAN 3:1 Deep Learning for Computer Vision (RVB/AC) DS 391 JAN 3:0 Data Assimilation to Dynamical Systems (SR) DS 397 JAN 2:1 Topics in Embedded Computing (SKN)

  7. M.Tech. (CDS) Typical Course Plan First Semester (Aug-Dec 2019) • DS 221 AUG 3:1 Introduction to Scalable Systems (VSS/YS)  • DS 284 AUG 2:1 Numerical Linear Algebra (MV) • DS 288 AUG 3:0 Numerical Methods (PY) • Two Electives • DS 263 AUG 3:1 Video Analytics (RVB/AC) • DS 291 Aug 3:1 Finite Elements: Theory and Algorithms (SG) Total: 18 credits (Minimum of 31 credits are mandatory to be completed in the first year with a minimum of 15 credits in the first semester.)

  8. M.Tech. (CDS) Typical Course Plan Second Semester (Jan-Apr 2020) • DS 294 JAN 3:0 Data Analysis and Visualization (AC)  • Soft Core Courses (minimum 2 courses) • Ex: • DS 256 JAN 3:1 Scalable Systems for Data Science (YS)  • DS 295 JAN 3:1 Parallel Programming (SV)  • Minimum One elective/softcore course • Ex: DS 265 JAN 3:1 Deep Learning for Computer Vision (RVB/AC) Total: 16 credits (Minimum of 31 credits are mandatory to be completed in the first year with a minimum of 15 credits in the first semester. IMPORTANT: Scholarship will be stopped for failure to meet 1 year credit requirement)

  9. M.Tech. (CDS) Typical Course Plan • Dissertation: 28 credits (from May 2020 – June 2021) • Third semester (Aug- Dec 2020) • DS 200 AUG 0:1 Research Methods • Register for DS 299: Dissertation • Rest credits (soft core/electives) in terms of courses (Not more than one course) • Ex: • DS 211 AUG 3:0 Numerical Optimization (DS) • DS 290 AUG 3:0 Modelling and Simulation (SR) • Fourth semester (Jan- June 2020) • Dissertation DS 299 Total: 64 credits

  10. M.Tech. (CDS) Dissertation Evaluation - For the 2019 Batch • Dissertation: 28 credits (from May 2020 – June 2021) • 4 Credits during summer (May-July, 2020) • Evaluation in August 2020 (IMPORTANT: PRIVATE FELLOWSHIP HOLDERS SCHOLARSHIP TO BE RESCINDED IN CASE OF POOR PERFORMANCE) • 8 Credits during third semester (Aug-Dec, 2020) • Evaluation in Nov-December 2020 • 16 Credits during fourth semester (Jan-May, 2020) • Evaluation and Final reports due in May 2021

  11. M.Tech. (CDS) Dissertation Advisor • Please discuss the dissertation topics with the faculty and get the relevant forms signed. You are encouraged to complete this process by August 10. • The candidate who will be selected for the CDS private fellowships can not change their advisor. Please make sure that you talk to the respective faculty mentors of the private fellowships. • Others who wish to change their advisor (including those who applied for CDS fellowships and did not get selected) by filling the same form and submitting it before December 30, 2019 (before the start of second semester). Beyond this date, no change will be allowed. • Each Advisor is allowed to advise not more than 3 M.Tech. (CDS) students

  12. M.Tech. (CDS) Private Fellowships • List of available fellowships are here: http://cds.iisc.ac.in/resources/fellowships/ • Each Fellowship will come with compulsory three month internship (typically May-July) at the company premises • The travel and accommodation charges for completing the three month internship has to be borne by the awarded student (Note that lot of these companies location could be as far away as 40 kms from IISc)

  13. First Year M.Tech. Student Lab Guidelines • Student Lab keys will be available with security (lobby of the building). The security is available 24X7 and 365 days. Those who come first can get it issued and those who leave the last can return the keys to security • There are limited number of machines available in the student lab. It is advisable that you have your own machine (laptop). • Your tenure at First year M.Tech. student lab is from August 1 -December 30 (5 months). Beyond which, your seating place will be in your dissertation advisor lab. • The student lab will remain closed between December 31 to July 31. • Maintain professionalism to keep the student lab neat and clean. Anybody found misusing it, will be barred from using the student lab and appropriate action will be taken by the DCC and Chair.

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