Teaching

I have served as a teaching assistant for 9 courses, 8 of which were unique, including 2 at the graduate level. My areas of assistance spanned information theory, optimization, probability theory, statistics, mathematics, discrete structures, electronic circuits, and practical computer network laboratories. I prepare materials, give weekly tutorials, hold weekly office hours, and grade homework and exams.

Graduate School Courses

ENGG5301: Information Theory (Fall 2022-23, Instructor: Prof. Cheuk Ting Li), Final Review. I was the sole TA supporting about 60 PhD students.
CIE/DDA 6010: Optimization Theory and Examples (Fall 2019-20, Instructor: Prof. Stark Draper). I build up, organize and compile lecture notes from scratch (155 pages by LaTeX), see: [Notes]

Undergraduate Courses

IERG2060-ESTR2304: Basic Analog and Digital Circuits (Fall 2021-22, Instructor: Dr. Marco Ho), Syllabus
IERG2470-ESTR2308: Probability Models and Applications (Spring 2021-22, Instructor: Prof. Raymond W. Yeung), Syllabus, Midterm Review
IERG2470-ESTR2308: Probability Models and Applications (Spring 2022-23, Instructor: Prof. Cheuk Ting Li)
IERG3800: Information Infrastructure Design Lab (Fall 2023-24, Instructor: Prof. Yiu Bun Lee)
IERG3050: Simulation and Statistical Analysis (Fall 2023-24, Instructor: Prof. Cheuk Ting Li)
ENGG2440: Discrete Mathematics for Engineers (Fall 2024-25, Instructor: Prof. Cheuk Ting Li)
MIEG2440-ESTR2362: Discrete Structures and Probability (Spring 2024-25, Instructor: Prof. Cheuk Ting Li)