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| VECTOR | [2-0-0:2] |
|---|---|
| PREVIOUS CODE | IIMP 6010 |
| DESCRIPTION | This course focuses on using various approaches to perform quantitative analysis through real-world examples. Students will learn how to use different tools in an interdisciplinary project and how to acquire new skills on their own. The course offers different modules that are multidisciplinary/multifunctional and generally applicable to a wide class of problems. May be graded PP. |
| Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
|---|---|---|---|---|---|---|---|---|
| L01 (6004) | TBA | TBA | CAI, Yi CUI, Ying GAN, Zecheng LI, Lei LIU, Hao TAN, Chee Keong XU, Kewei ZHANG, Zhuoni ZHAO, Hang | 350 | 349 | 1 | 0 |
| DESCRIPTION | This course introduces students to the world of computer science, data analysis, and artificial intelligence. Through a series of lectures and hands-on exercises, students will learn the basics of each of these disciplines, and how they can be used to solve real-world problems. It will cover the following topics: an introduction to computer science, including an overview of its principles and concepts; the basics of data analysis, including methods for collecting, organizing, and analyzing data; an introduction to artificial intelligence, including an exploration of its various applications and capabilities; and an examination of how computer science, data analysis, and artificial intelligence can be used in combination to solve real-world problems. Upon completion of this course, students will have a strong foundation on which to build more advanced knowledge in these exciting fields. |
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| Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
|---|---|---|---|---|---|---|---|---|
| L02 (6323) | 02-SEP-2024 - 06-DEC-2024 TuTh 04:30PM - 05:50PM | Rm 148, E1 | LIU, Hao | 45 | 44 | 1 | 0 | |
| LA02 (6330) | 02-SEP-2024 - 06-DEC-2024 Fr 06:00PM - 06:50PM | Rm 227, E1 | LIU, Hao | 45 | 44 | 1 | 0 |