This course introduces probability models and their applications to major areas of information engineering, including digital communications, signal processing and computer networks. The aims are to elucidate the fundamental concepts of probability theory through examples, to explain the importance of random variables and unconditional/conditional distributions, and to develop the student ability in solving problems with randomness and uncertainty. This course is project-based, which provides hands-on experience to students and conveys the relevance and usefulness of probability modelling to practical engineering problems that undergraduate students can appreciate.

Remark: To pass the course, students are required to achieve at least 30% in coursework and 30% in the examination. # may include homework, tutorial exercise, project/mini-project, presentation