 |
| DESCRIPTION | This is the compulsory one-year development course for FTEC students. The course provides academic and professional advising to students on the development of professional ethics, social awareness, responsibilities, and communication skills. An intended learning outcome is to develop a holistic, interdisciplinary, and evidence-based understanding of the issues in FinTech in the financial markets. Grading Type: Pass/ Fail |
|---|
| Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
|---|---|---|---|---|---|---|---|---|
| L01 (6624) | Tu 04:30PM - 05:20PM | Rm 147, E1 | CAI, Ning LI, Siguang QIU, Shi SUN, Shuo WANG, Junxuan WANG, Xuechao YUAN, Zixuan ZHANG, Chao ZHANG, Guang ZHANG, Leifu ZHANG, Liang ZHANG, Yi ZHU, Zimu | 60 | 58 | 2 | 0 |
| DESCRIPTION | This course covers the fundamentals of machine learning and artificial intelligence, and their applications in computer vision, image processing, natural language processing, and robotics. The topics include major learning paradigms (supervised learning, unsupervised learning and reinforcement learning), learning models (such as neural networks, Bayesian classification, clustering, kernels, feature extraction), and other problem solving techniques (such as heuristic search, constraint satisfaction solvers and knowledge-based systems) in AI. |
|---|
| Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
|---|---|---|---|---|---|---|---|---|
| L01 (6368) | Fr 01:30PM - 04:20PM | Rm 102, W1 | YUAN, Zixuan | 40 | 33 | 7 | 0 |
| DESCRIPTION | This course tackles the challenge of distilling valuable insights from the massive data generated by Internet's expansion. Topics include basics of data warehousing, data cleansing and integration, classification, clustering, association analysis, and anomaly detection. With the industry's surging demand for proficient data analytics, this course equips students with a robust interdisciplinary toolkit to navigate the complexities of big data in FinTech domain. |
|---|
| Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
|---|---|---|---|---|---|---|---|---|
| L01 (6735) | We 01:30PM - 04:20PM | Rm 202, E4 | YUAN, Zixuan | 20 | 10 | 10 | 0 |
| EXCLUSION | UFUG 1105 |
|---|---|
| DESCRIPTION | This is the first of a year-long sequence of two introductory courses in one-variable calculus, intended for first year undergraduate students. The emphasis is on the understanding of foundational concepts and practical skills in applying calculus, which are essential for their future study in various fields. Topics include approximation, continuity, limit, differentiation, high order approximations and differentiation, and applications to optimization, monotonicity, and convexity. |
| Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
|---|---|---|---|---|---|---|---|---|
| L04 (6016) | TuTh 12:00PM - 01:20PM | Rm 149, E1 | YUAN, Zixuan | 30 | 39 | 0 | 0 | |
| T04 (6020) | Fr 09:00AM - 09:50AM | Rm 202, E3 | YUAN, Zixuan | 30 | 39 | 0 | 0 |