AIST 1000: Introduction to Artificial Intelligence and Machine Learning — FALL 2023

News

Information

Lectures
Tuesday, 10:30 - 11:15 am, Mong Man Wai Bldg 707
Tutorials
Tuesday, 11:30 - 12:15 pm, Mong Man Wai Bldg 707
Instructor
Prof. Liwei WANG
Teaching Assistant
Ziyuan HU Duo ZHENG
Announcement
All updates will be sent to your emails. Please check your university emails.
Grading
Attendance (10%) + Mid-term Report (30%) + Final Report & Presentation (60%)

Tutorial sessions would be the fastest and clearest way to discuss any problem. You are also welcomed to send emails to the instructor and the TAs.

Lectures

All related lecture materials will be posted on Blackboard → Lecture Notes.

Note: Lecture slides cannot be distributed outside the class.

The following schedule (tentative) are subject to minor modifications.
Schedule
Week Date Topic Remark
1 Sept 5 Course Introduction
2 Sept 12 Introduction to Natural Language Processing (NLP)
3 Sept 19 NLP Seminar
4 Sept 26 Introduction to Computer Vision (CV)
5 Oct 3 CV Seminar
6 Oct 10 Introduction to Artificial Intelligent for Science (AI4Sci)
7 Oct 17 AI4Sci Seminar
8 Oct 24 Introduction to Robotics
9 Oct 31 Robotics Seminar
10 Nov 7 Introduction to AI Application
11 Nov 14 AI Application Seminar
12 Nov 21 Final Presentation (1)
13 Nov 28 Final Presentation (2)

Attendance (10%)

Attendance check every week from Week 2 (1% each).

Mid-term Report (30%)

Unless further notice, the report should be submitted in a single PDF file.

The PDF file should be accepted by VeriGuide before submission.

All the submissions should be made via Blackboard by 11:59 pm.

Final Report & Presentation (60%)

Unless further notice, the report and presentation slides should be submitted separately in PDF format.

The PDF files should be accepted by VeriGuide before submission.

All the submissions should be made via Blackboard by 11:59 pm.

Course Policy