This course aims to introduce you the foundation, various tasks in natural language processing and how deep learning models can be used to solve these tasks. This course will also cover several classic NLP tasks including part of speech tagging and parsing. You will be equipped with fundamental understanding of NLP, pre-trained language models, and some practical skills to solve natural language tasks.
| Academic Units | 3 |
| Exam Schedule | Wed May 06 2026 00:00:00 GMT+0000 (Coordinated Universal Time) 17:00-19:00 |
| Grade Type | Letter Graded |
| Department Maintaining | CSC(CE) |
| Prerequisites | SC1003 & SC5002 OR SC5001 & SC5002 OR CV1014 & SC5002 OR BS1009 & SC5002 OR MS1008 & SC5002 OR MA1008 & SC5002 OR PS0001 & SC5002 OR IE2108 & SC5002 OR RE1016 & SC5002 OR CS4313 & SC5002 OR IE1005 & SC5002 |
| Mutually Exclusive |
| Index | Type | Group | Day | Time | Venue | Remark |
|---|---|---|---|---|---|---|
| 10601 | LEC/STUDIO | SCL5 | TUE | 1030-1220 | LT1 | |
| 10601 | TUT | MIAI | THU | 1230-1320 | LT1 | Teaching Wk2-13 |
0930
1030
1130
1230
1330
1430
1530
1630
1730
SC5005
LEC/STUDIO | LT1
SC5005
TUT | LT1
Teaching Wk2-13
We would encourage you to review with the following template.
AY Taken: ...
Assessment (Optional): ...
Topics (Optional): ...
Lecturer (Optional): ...
TA (Optional): ...
Review: ...
Final Grade (Optional): ...