TSKS35 Information and Communications Engineering

The course TSKS35 – Information and Communications Engineering introduces students to the foundational principles and advanced techniques used in modern communication systems. It begins with an overview of the field and progresses through key topics such as frequency-domain analysis, random signals and noise, and analog transmission. The course then delves into information theory, covering both lossless and lossy compression, and explores digital transmission over additive white Gaussian noise (AWGN) channels, including error probabilities and bandwidth limitations. Advanced topics include channel capacity, coding strategies, and wireless communication systems. Through this progression, students gain a comprehensive understanding of how information is represented, transmitted, and processed in both analog and digital domains.

Course material

Main course book:

• John G. Proakis and Masoud Salehi, “Communication Systems Engineering,” second edition, Prentice Hall, 2002.

Recommended reading:

• Erik G. Larsson, “Signals, Information and Communications,” LiU press, 2024.

Lecture content

Lecture 1: Information of TSKS35 and introduction (Chap. 1)

Lecture 2: Frequency-domain analysis of signals and systems (Chap. 2)

Lecture 3: Random signals and noise (Chapter 4)

Lecture 4: Analog transmission and reception (Chaps. 3 and 5)

Lecture 5: Information sources and lossless compression (Chap. 6)

Lecture 6: Lossy compression and rate-distortion theory (Chap. 6)

Lecture 7: Digital transmission through the AWGN channel (Chap. 7)

Lecture 8: Probability of error for signal detection in AWGN (Chap. 7)

Lecture 9: Digital transmission through bandlimited AWGN channels (Chap. 8)

Lecture 10: BËR for digital transmission through bandlimited AWGN channels (Chap. 8)

Lecture 11: Channel capacity and coding (Chap. 9)

Lecture 12: Wireless communication (Chap. 10)

Instructors

• Course director and lecturer: Diana Osorio
• Assistants: Yuhang Deng and Dexin Kong

Prerequisites

For this course, students are suppose to have a basic understanding (previous undergraduate courses) in signals and systems, or linear systems both continuous and discrete. Working knowledge of Fourier Series and Fourier transforms. A basic course in probability theory and programming sills.

Information for registered students

For detailed lecture, tutorial and lab plans, and course material, please follow this link: -https://liuonline.sharepoint.com/sites/Lisam_TSKS35_2025HT_YV