CTech Teaching Load Autumn 2018-19
ELL100 Introduction to Electrical Engineering (3-0-2) [Slot E]
Three CTech faculty members on the roster:
Seshan Srirangarajan, Sumantra Dutta Roy, Jun-Bae Seo [Other: S Janardhanan]
Classrooms, respectively: LHC-310, LH-308, LH-108/121, LH-316
ELL782 Computer Architecture (PG) (3-0-0) 3 credits
Smruti Ranjan Sarangi [Slot B]
(cross-listed with COL718 Architecture of Large Systems)
Classroom: IV-254, 1st class on 26 Jul (Thu)
ELP781 Digital Systems Lab (0-1-4) 3 credits
“Processor Design Lab”
Smruti Ranjan Sarangi [Slot P]
(cross-listed with COP820 Processor Design Lab) [Link to course structure]
ELL781 Software Fundamentals for Computer Technology (3-0-0) 3 credits
Sumeet Agarwal [Slot AB]
Classroom: LH-623
JRL301 Robotics Technology (3-0-0) 3 credits
S. K. Saha, Sumantra Dutta Roy(?), Kolin Paul, I. N. Kar [Slot X1]
ELL780 Mathematical Foundations of Computer Technology (3-0-0) 3 credits
Suresh Chandra. A. P. Prathosh (Coordinator) [Slot M]
Classroom: LH-623
ELL787 Embedded Systems and Applications (3-0-0) 3 credits
S M K Rahman [Slot AD]
Classroom: LH-603. Classes commence from 27 Jul (Fri)
ELL880 Special Topics in Computers-I (3-0-0) 3 credits
Social Network Analysis
Sougata Mukherjea & Amit A. Nanavati.
Sumantra Dutta Roy (Coordinator) [Slot A]
Classroom: LH-619
ELL881 Special Topics in Computers-II (3-0-0) 3 credits [Registration Cap: 50]
Fundamentals of Deep Learning
Raghavendra Singh, Vineet Kumar
Sumantra Dutta Roy (Coordinator) [Slot X5] [Link to course structure]
Classroom: LH-613. Fridays 2-5pm. Classes start 27 Jul (Fri)!
ELL784 Introduction to Machine Learning (3-0-0) 3 credits [Registration Cap: 60]
Jayadeva [Slot J]
Classroom: IIA-305
ELL409 Machine Intelligence and Learning (3-0-2) 4 credits [Registration Cap: 75]
Prathosh AP [Slot M]
Classroom: LH-310
ELV780 Special Module in Computers (1-0-0) 1 credit
IoT: Internet of Things
Samsung Researchers. Sumantra Dutta Roy (Coordinator) [Slot X1]
August Beginning to the course: 01 August. 2pm, room 305, second floor, Bharti Building
ELD880 Major Project Part-I (0-0-12) 6 credits
Sumantra Dutta Roy (Coordinator)
ELL793 Computer Vision (3-0-0) 3 credits
Brejesh Lall [Slot C]
Classroom: IIA-301
ELL305 Computer Architecture (3-0-0) 3 credits
Tapan K Gandhi, S. M. K. Rahman, Subrat Kar [Slot E]
Classroom: LH-111
ELL890 Computational Neuroscience (3-0-0) 3 credits
Tapan K. Gandhi [Slot AD]
Classroom: LH-615
ELL785 Communication Networks (3-0-0) 3 credits
Swades De [Slot K]
Classroom: IIA-305
ELV781 Special Module in Information Processing-I (1-0-0) 1 credit [Registration Cap: 40]
Deep Reinforcement Learning
Ankur Narang (Senior VP, Tech & Decision Sciences, Yatra Online Pvt Ltd)
Sumantra Dutta Roy (Coordinator) [Slot X2]
Unfortunately, Dr. Narang will not be able to take this course owing to his other commitments.
ELV832 Special Module in Machine Learning (1-0-0) 1 credit [Registration Cap: 60]
A Deeper Theory of Deep Learning: The Quest for Information-Theoretic Foundations
Sumeet Agarwal [Slot X] [Link to course structure]
ELL896 Mobile Computing (3-0-0) 3 credits
Prof. H. M. Gupta [Slot X6]
ELP780 Software Lab (0-1-4) 3 credits
Prof. Subrat Kar [Slot X7]
Course Notes and Descriptions:
ELL100 slot: Lectures: Tue, Wed, Fri 10-11am. Practicals: 11-1pm, 3-5pm.
ELL305 slot: E. Tue, Wed, Fri 10-11am.
ELL880 Special Topics in Computers-I
Social Network Analysis
Course Objectives
Social Network Analysis (SNA) is about analysing networks arising in various contexts,
especially those arising in social contexts: as a result of people connecting with each
other on online social networks such as twitter and facebook, as well as “who-calls-
whom” graph arising out of Telecom networks. However, the techniques for analysing
social networks can be extended to other non-social networks as well.
In this course, we will learn about techniques for analysing networks, both social and
others, and also learn about how (algorithms) to do this in a scalable manner. Also, we
will learn how to visualise some of these large networks. And lastly, we will also explore
the applications of SNA in various domains such as Telecom, Biology, etc.
Course Outline
Graph Theory and Social Networks
Visualizing Social Networks
Network Dynamics
Information Networks and the World Wide Web
Game Theory
Applications of SNA in various domains
Instructors
Sougata Mukherjea Email: smukherj@in.ibm.com
Amit A. Nanavati Email: namit@in.ibm.com
Grading (Tentative)
Presentations (20%) - One Viz+SNA, One Game Theory+SNA
MidTerm (20%)
Project (30%)
Final Exam (30%)
Readings
Networks, Crowds, and Markets: Reasoning About a Highly Connected World
by David Easley and Jon Kleinberg Cambridge University Press 2010
(online: https://www.cs.cornell.edu/home/kleinber/networks-book/)
Research papers as discussed in the class
Web Resource: Piazza Tool info
Agenda: Introductions, Class Timings, Office hours
Class Timings: Mon, Thu (8:00 – 9:30 AM)