PhD Courses


Credit
1. Stochastic Models and Applications (E1 222) Aug 2015
2. Linear Algebra and Applications (E0 219) Aug 2015
3. Online Prediction and Learning (E1 245) Aug 2015
4. Convex Optimization and Applications (E0 330) Jan 2016
5. Reinforcement Learning (E1 277) Jan 2016
6. Real Analysis (MA 221) Aug 2016
7. Analysis II - Measure Theory and Integration (MA 222) Jan 2018

Audit
1. Stochastic Process and Queueing Theory (E2 204) Jan 2017
2. Markov Decision Processes (CE273) Aug 2018
3. Multivariable Calculus (MA200) Aug 2018
4. Topics in Stochastic Approximation (E1 396) Aug 2018
5. Computational Methods of Optimization (E0 230) Aug 2017

MSc(Engg.) Courses


1. Probability and Statistics ( E0232 ) Aug 2011
2. Graph Theory and Combinatorics ( E0220 ) Aug 2011
3. Design and Analysis of Algorithms ( E0 225 ) Aug 2011
4. Game Theory ( E1 254 ) Jan 2012
5. Computer Communication Networks ( E0 241 ) Jan 2012

Undergraduate Courses

1. Mathematics - Discrete Structures, Graph Theory, Mathematics I, II, III

2. Computer Science - Data Structures and Algorithms, Operating Systems, Finite Automaton and Formal Languages, Digital Electronics and Computer Organization, Advanced Computer Organization, Computer Networks, Database Systems, Object Oriented Programming, Software Engineering

3. Graphics - Computer Graphics, Engineering Graphics

4. Languages - C, C, Java, C

5. Software and Tools - NetSim, Eclipse Editors, Oracle SQL