Lectures related to Secret Key Generation: Polar Coding

Covers the basics of information theory, focusing on Shannon's setting and channel transmission.

Information Theory: Source Coding, Cryptography, Channel Coding

Covers source coding, cryptography, and channel coding in communication systems, exploring entropy, codes, error channels, and future related courses.

Channel Coding: Convolutional Codes

Explores channel coding with a focus on convolutional codes, emphasizing error detection, correction, and decoding processes.

Public-Key Cryptography: Standards and Applications

Discusses public-key cryptography, focusing on standards like RSA, DSA, and AES, and their applications in secure communications.

Information Theoretic Security: Wiretap Channel

Explores secret key generation in the Wiretap Channel model and achievable key rate-leakage pairs.

Information Theory Basics

Introduces information theory basics, including entropy, independence, and binary entropy function.

Error Correction Codes: Basics

Introduces erasure and error channels, Hamming distance, and error correction codes.

Channel Coding and BICM (LLRs)

Explores channel coding, BICM, and LLRs in wireless communication systems, emphasizing the importance of error detection and correction.

Information Theory: Source Coding & Channel Coding

Covers the fundamentals of information theory, focusing on source coding and channel coding.

Error Correction Codes: Theory and Applications

Covers error correction codes theory and applications, emphasizing the importance of minimizing distance for reliable communication.

Information Coding: Source, Cryptography, Channel

Covers source coding, cryptography, and channel coding for communication systems.

Multi-user Gaussian Channels with Noisy Feedback

Delves into challenges and opportunities of multi-user Gaussian channels with noisy feedback, presenting a new mathematical framework.

Information Theory: Channel Capacity and Convex Functions

Explores channel capacity and convex functions in information theory, emphasizing the importance of convexity.

Binary Coding: Channel Decoding

Explores binary channel decoding and vector spaces in coding theory.

Minimum Distance Decoding

Explains Minimum Distance (MD) decoding on erasure channels with illustrative examples.

Compression: Prefix-Free Codes

Explains prefix-free codes for efficient data compression and the significance of uniquely decodable codes.

Conditional Entropy and Information Theory Concepts

Discusses conditional entropy and its role in information theory and data compression.

Secret Key Agreement

Explains secret key agreement systems, perfect secrecy, and the criteria for secure communication.

Advanced Wireless Communications

Covers the fundamentals of wireless communication systems, advanced algorithms, coding, and multi-antenna systems.

Achievable Rate & Capacity

Explores achievable rate, channel capacity, spectral efficiency, and fading channels in wireless communication systems.