COURSE INFO
DESCRIPTIONThis 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.

AIAA 1010 - Academic Orientation for AI Students (1 unit)

SectionDate & TimeRoomInstructorQuotaEnrolAvailWaitRemarks
L01 (6277) Fr 03:00PM - 03:50PMRm 101, W1CHEN, Lei
CHEN, Yingcong
DAI, Enyan
HU, Xuming
LIANG, Junwei
LIU, Li
RIKOS, APOSTOLOS
SUN, Ying
WANG, Hao
WANG, Xin
XIE, Sihong
XIONG, Hui
YUE, Yutao
ZHONG, Bingzhuo		13685510 
COURSE INFO
VECTOR[3-0-0:3]
DESCRIPTIONThis course covers how to program with Python and use it to solve practical problems in Artificial Intelligence. Topics include basic Python usage (e.g., syntax, data structure, etc.) and important packages for data analysis and machine learning applications (e.g., NumPy, SciPy, etc.). The students will be guided to practice on simple artificial intelligence tasks.

AIAA 5031 - Introduction to Computing Using Python (3 units)

SectionDate & TimeRoomInstructorQuotaEnrolAvailWaitRemarks
L01 (6094) Mo 09:00AM - 11:50AMRm 149, E1SUN, Ying605640 
COURSE INFO
VECTOR[3-0-0:3]
DESCRIPTIONThis course covers typical algorithms and data structures. Topics include core methodologies of algorithm design, standard data structures, and typical algorithms and data structures that have been widely adopted for solving different problems, covering from fundamental ones (e.g., searching and sorting algorithms) to more advanced ones (e.g., graph algorithms, number theory algorithms, FFT).

AIAA 5037 - Advanced Algorithms and Data Structures (3 units)

SectionDate & TimeRoomInstructorQuotaEnrolAvailWaitRemarks
L01 (6095) Tu 09:00AM - 11:50AMRm 147, E1SUN, Ying302460