This course aims to provide you with the foundation theories and practical experiences of Artificial Intelligence (Al), machine learning and neural networks. It will introduce several state-of-the-art neural networks architectures as well as their implementations. Students who are interested in Al and their applications are encouraged to take this course. The course will equip you with theories and hands-on experiences to advance your future career in Al and machine learning.
| Academic Units | 3 |
| Exam Schedule | Not Applicable |
| Grade Type | Letter Graded |
| Department Maintaining | EEE |
| Prerequisites |
| Index | Type | Group | Day | Time | Venue | Remark |
|---|
0930
1030
1130
1230
1330
1430
1530
1630
1730
IE4424
34178
LEC/STUDIO | S2-B3B-08
Teaching Wk2,4,6,9,12
IE4424
34179
LEC/STUDIO | S2-B3B-08
Teaching Wk2,4,6,9,12
IE4424
34180
LEC/STUDIO | S2-B3B-08
Teaching Wk2,4,6,9,12
IE4424
34181
LEC/STUDIO | S2-B3B-08
Teaching Wk2,4,6,9,12
IE4424
34178
LEC/STUDIO | LT25
Teaching Wk1,3,5,7,8,10,11,13
IE4424
34179
LEC/STUDIO | LT25
Teaching Wk1,3,5,7,8,10,11,13
IE4424
34180
LEC/STUDIO | LT25
Teaching Wk1,3,5,7,8,10,11,13
IE4424
34181
LEC/STUDIO | LT25
Teaching Wk1,3,5,7,8,10,11,13
We would encourage you to review with the following template.
AY Taken: ...
Assessment (Optional): ...
Topics (Optional): ...
Lecturer (Optional): ...
TA (Optional): ...
Review: ...
Final Grade (Optional): ...