ELEC2844: Probabilistic Systems Analysis
The University of Hong Kong, Second Semester, 2025–26
Lecture Schedule and Materials
Links to lecture slides and homework will be posted as we progress in the course.
| Month | Tuesday (2hrs) | Thursday (1hr) | Notes | Homework |
| JAN | 20 | 22 |  Lecture 1: Fundamentals of Probability | |
| 27 | 29 | |||
| FEB | 3 | 5 | Lecture 2: Discrete Random Variables | ex1 ex1 solution |
| 10 | 12 | hw1 (due Feb 28) hw1 solution | ||
| 17 | 19 | 17, 19: Chinese New Year | ||
| 24 | 26 | Lecture 3: Continuous Random Variables | ||
| MAR | 3 | 5 | ||
| 10 | 12 | 10, 12: reading week | ex2 ex2 solution | |
| 17 | 19 | 19: in-class closed-book midterm Take the midterm at CYPP2 for last name A–S Take the midterm at KKLG102 for last name T–Z | hw2 (due Mar 31) hw2 solution | |
| 24 | 26 | Intermission Lecture 4: Several Random Variables | ||
| APR | 31 | 2 | ||
| 7 | 9 | 7: Day following Easter Monday 9: No class (instructor away) | ex3 ex3 solution | |
| 14 | 16 | Lecture 5: Parameter Estimation I: Classical | hw3 (due Apr 30) hw3 solution | |
| 21 | 23 | Lecture 6: Parameter Estimation II: Bayesian 23: teaching evaluation | ||
| 28 | 30 |
Slides as Handouts
Lecture 1: handout1.pdf
Lecture 2: handout2.pdf
Lecture 3: handout3.pdf
Lecture 4: handout4.pdf
Lecture 5: handout5.pdf
Lecture 6: handout6.pdf
Tutorial Schedule and Materials
See moodle.