VECTOR | [1 credit] |
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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 |
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L01 (6164) | 22-JAN-2024 - 14-MAR-2024 Fr 04:30PM - 06:20PM | Rm 101, E1 | CHEN, Lei CHU, Xiaowen KIM, Sung Hun 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 WANG, Wei | ||||||
18-MAR-2024 - 10-MAY-2024 Fr 04:30PM - 06:20PM | Rm 101, W1 | CHEN, Lei CHU, Xiaowen KIM, Sung Hun WANG, Wei |
VECTOR | [6 credits] |
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DESCRIPTION | In this course, the student will work on a practical project. The independent project is related to real problems existing in data science and AI application domains. The student needs to conduct literature survey, method comparison, solution selection and implementation, experimental study and write the final report. The course will train students skills on proposing end-to-end solution for a realapplications problem. This course is only available for MSc(DCAI) students. Graded P or F. |
Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
---|---|---|---|---|---|---|---|---|
R01 (6321) | 22-JAN-2024 - 14-MAR-2024 Mo 09:00AM - 12:50PM | Rm 122, E1 | CHEN, Lei | 60 | 51 | 9 | 0 | |
22-JAN-2024 - 08-APR-2024 Tu 04:30PM - 06:20PM | Rm 228, E2 | CHEN, Lei | ||||||
15-MAR-2024 - 10-MAY-2024 Mo 09:00AM - 12:50PM | Rm 101, W1 | CHEN, Lei | ||||||
09-APR-2024 - 10-MAY-2024 Tu 04:30PM - 06:20PM | Rm 101, W1 | CHEN, Lei |