Upcoming course: Information Theory (Jan. $2025$; tentative)

Courses offered

• Information theory and coding (Jan. 2014 & 2016), Random Processes (Jan. 2015), Advanced Mathematics (Graduate level) (Jan. 2015), Simulation and modeling of data networks (Aug. 2015), Random processes (Aug. 2016), Wireless communications (Aug. 2016), Digital Communication (Jan. 2016),- Introduction to Electrical Systems and Electronics (First-year undergrad) (Jan. 2018), Introduction to Probability Theory and Random Processes (Aug. 2019), Probability theory (Graduate level; Aug. 2018 & 2019), Puzzles, Information, and Secrecy (Jan. 2020), Probability theory and Random Processes (Graduate level; Aug. 2020), Mathematics for Data Science (Aug. 2020), Information Theory (Jan. 2021), Mathematics for Data Science (Aug. 2021), Linear Algebra and its Applications (Jan. 2022), Introduction to Communications + Lab (Jan. 2022), Introduction to Programming - II (Python) (first-year common course), Introduction to Probability (August 2023, second-year course), Data Analysis (Oct. 2024 - Nov. 2024), Probability Models and Application (PMA, 2024).

Some useful resources

• My crude draft of my notes on Probability Models and Application
• My notes on Data Analysis statistics and application
• My notes on Pattern Recognition and Machine Learningn SVM, Kernel methods etc.
• My notes/book on Linear Algebra e212_matrixtheory_oct8
• Cayley Hamilton cayley_hamilton
• Compressive sensing compressive_sensing
• Other useful results useful_results