DESCRIPTION | This course provides guidance to undergraduate students of the AI major for their academic path and future. This course is mostly introductory and aims to inspire UG students for their academic path development and growth of maturity during their UG study. Activities may include seminars, workshops, advising and sharing sessions, interaction with faculty and teaching staff, and discussion with student peers or alumni. Graded P or F. |
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Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
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L01 (6249) | Fr 09:00AM - 09:50AM | Rm 102, E4 | CHEN, Jintai CHEN, Yingcong DAI, Enyan HU, Xuming LIANG, Junwei LIU, Li RIKOS, APOSTOLOS SUN, Ying WANG, Hao WANG, Xin XIE, Sihong XIE, Zeke YUE, Yutao | 100 | 70 | 30 | 0 | The class will be delivered by the following instructors as below. Week 1: Junwei LIANG Week 2: Xin WANG Week 3: HAO WANG Week 4: Sihong XIE Week 5: Li LIU Week 6: Zeke XIE Week 7: Yutao YUE Week 8: Xuming HU Week 9: Jintai CHEN Week 10: Yingcong CHEN Week 11: Ying SUN Week 12: Enyan Dai Week 13: Apostolos Rikos |
PRE-REQUISITE | UFUG 2601 OR UFUG 2602 |
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DESCRIPTION | The objective of this course is to present an overview of the principles and practices of AI and to address complex real-world problems. Through introduction of AI tools and techniques, the course helps students develop a basic understanding of problem solving, search, theorem proving, knowledge representation, reasoning and planning methods of AI; and develop practical applications in vision, language, and so on. Topics include foundations (search, knowledge representation, machine learning and natural language understanding) and applications (data mining, decision support systems, adaptive web sites, web log analysis). |
Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
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L01 (6245) | TuFr 01:30PM - 02:50PM | Rm 102, E4 | LIU, Li YUE, Yutao | 100 | 44 | 56 | 0 |