Teaching – Prof. Chandra Nair

I regularly teach three courses at CUHK covering probability theory, Fourier analysis and signals, and multiuser information theory. Each course page links to lecture notes, homework assignments, and other resources for the most recent offering.

For questions about a specific offering please use the Piazza page for that term (linked on each course page) or contact me by email.

Regular courses

MIEG 2051 / ESTR 2360

Fourier Analysis with Engineering Applications

An undergraduate course covering Fourier series and transforms, the Laplace and Z-transforms, linear time-invariant systems, convolution, sampling, and applications to signals and communications.

Recent offerings: Fall 2025

Course page (Fall 2025) →

IERG 5254

Multiuser Information Theory

A graduate course on the information-theoretic foundations of multiuser communication, covering broadcast channels, interference channels, multiple access channels, and related topics in network information theory.

Recent offerings: Spring 2025

Course page (Spring 2025) →

IERG 5400

Theory of Probability

A graduate course on measure-theoretic probability, covering probability spaces, random variables, modes of convergence, laws of large numbers, the central limit theorem, conditional expectation, and martingales.

Recent offerings: Spring 2026

Course page (Spring 2026) →

Note for students

Homework, lecture notes, and announcements for current courses are managed through Piazza. Links to the Piazza page for each current offering are on the individual course pages above.

If you are a prospective graduate student interested in research supervision, please see the students and group page and the "For prospective students" section on the homepage.