 |
| DESCRIPTION | Data science changes the way people process data in different areas. It has promoted the development of many subjects. This course introduces beginners to the whole lifecycle of data science problems and solutions. The course will help students comprehensively understand the basic knowledge of data science and use computer techniques to handle the real-life data science problems. Topics covered include data collection and processing, machine learning (including classification and clustering), statistical estimation and inference methods, and case studies. |
|---|
| Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
|---|---|---|---|---|---|---|---|---|
| L01 (6596) | MoWe 10:30AM - 11:50AM | Rm 134, E1 | LI, Lei WANG, Wei ZHANG, Yongqi | 70 | 0 | 70 | 0 | |
| LA01 (6597) | Mo 12:00PM - 12:50PM | Rm 134, E1 | LI, Lei WANG, Wei ZHANG, Yongqi | 70 | 0 | 70 | 0 |
| PRE-REQUISITE | (DSAA 2011 or DSAA 2012 or AIAA 3111) AND (UFUG 2106 or DSAA 2088) |
|---|---|
| DESCRIPTION | This course provides a cohesive introduction to statistical machine learning and scalable data analysis. Students will develop intuition for learning theory, modern predictive modeling, and algorithmic techniques for working with large datasets. Balancing fundamentals with applied methodology, the course connects theory, algorithms, and systems considerations to support reliable learning at scale. Assessments include a midterm and final exam, with hands-on components that reinforce conceptual understanding and practical skills. |
| Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
|---|---|---|---|---|---|---|---|---|
| L01 (6604) | Mo 03:00PM - 05:50PM | Rm 202, E3 | WANG, Wei | 40 | 0 | 40 | 0 | |
| T01 (6605) | Tu 09:00AM - 09:50AM | Rm 202, E3 | WANG, Wei | 40 | 0 | 40 | 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. |
|---|
| Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
|---|---|---|---|---|---|---|---|---|
| L01 (6670) | Tu 03:00PM - 05:50PM | Rm 134, E1 | TANG, Guoming WANG, Wei | 30 | 0 | 30 | 0 | > Experimental Class |