 |
| VECTOR | [1 credit] |
|---|---|
| DESCRIPTION | This course offers students opportunities to learn the possible industry topics and supervisors that they will work with during their internship. The goals are: (a) understand (i) problems in industry, (ii) existing data-sets, (iii) AI models, (iv) service scenario and KPI, (v) challenges; (b) propose industrial projects based on the understanding; and (c) matching for their industrial projects. This course is only available for MSc(DCAI) students. Graded P or F. |
| Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
|---|---|---|---|---|---|---|---|---|
| L01 (6164) | 22-JAN-2024 - 14-MAR-2024 Fr 04:30PM - 06:20PM | Rm 101, E1 | CHEN, Lei CHU, Xiaowen KIM, Sung Hun TANG, Nan WANG, Wei | 60 | 53 | 7 | 0 | Class of March 15th will be delivered in E1-134. |
| 15-MAR-2024 - 15-MAR-2024 Fr 04:30PM - 06:20PM | TBA | CHEN, Lei CHU, Xiaowen KIM, Sung Hun TANG, Nan WANG, Wei | ||||||
| 18-MAR-2024 - 10-MAY-2024 Fr 04:30PM - 06:20PM | Rm 101, W1 | CHEN, Lei CHU, Xiaowen KIM, Sung Hun TANG, Nan WANG, Wei |
| VECTOR | [1-0-0:1] |
|---|---|
| DESCRIPTION | In this course, students are required to attend at least 6 seminars offered by the program. The program will offer at least 10 seminars related to the state-of-the-art research on data science and analytics in each term. These seminars will help students to broaden the horizons of their knowledge on data science and analytics. Graded P or F. |
| Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
|---|---|---|---|---|---|---|---|---|
| L01 (6036) | We 10:00AM - 10:50AM | Rm 101, W1 | TANG, Nan | 120 | 102 | 18 | 0 |
| VECTOR | [2-0-0:2] |
|---|---|
| DESCRIPTION | This inquiry-based course aims to introduce students to the concepts and skills needed to drive digital transformation in the information age. Students will learn to conduct research, explore real-world applications, and discuss grand challenges in the four thrust areas of the Information hub, namely Artificial Intelligence, Data Science and Analytics, Internet of Things, and Computational Media and Arts. The course incorporates various teaching and learning formats including lectures, seminars, online courses, group discussions, and a term project. |
| Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
|---|---|---|---|---|---|---|---|---|
| L01 (6029) | We 03:00PM - 04:50PM | Lecture Hall A | CHEN, Huangxun TANG, Nan WANG, Xin YU, Luwen | 200 | 197 | 3 | 0 | The class is delivered in mixed mode. |