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
32478
LEC/STUDIO | S2-B3B_08
Teaching Wk2-13
IE4424
32477
LEC/STUDIO | S2-B3B-08
Teaching Wk2-13
IE4424
32480
LEC/STUDIO | S2-B3B_08
Teaching Wk2-13
IE4424
32479
LEC/STUDIO | S2-B3B-08
Teaching Wk2-13
IE4424
32477
LEC/STUDIO | LT19A
Teaching Wk1
IE4424
32478
LEC/STUDIO | LT19A
Teaching Wk1
IE4424
32479
LEC/STUDIO | LT19A
Teaching Wk1
IE4424
32480
LEC/STUDIO | LT19A
Teaching Wk1
IE4424
32481
LEC/STUDIO | LT19A
Teaching Wk1
IE4424
32482
LEC/STUDIO | LT19A
Teaching Wk1
IE4424
32482
LEC/STUDIO | S2-B3B-08
Teaching Wk2-13
IE4424
32481
LEC/STUDIO | S2-B3B-08
Teaching Wk2-13
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