CSCI3230 (ESTR3108)

Fundamentals of Artificial Intelligence, 1st Term 2020/21

Department of Computer Science and Engineering

The Chinese University of Hong Kong, Shatin, New Territories



Final Examination Schedule, End of 2020
  CSCI3230/ESTR3108                             Provisionally CANCELLED


  FUND OF ARTIFICIAL INTELLIGENCE

Basic concepts and techniques of artificial intelligence. Knowledge Representation: predicate logic and inference, semantic networks, scripts and frames, and object-oriented representation. Searching: such as A*, hill-climbing, minimax, and alpha-beta pruning. Computer Learning. Neural Networks: learning algorithms, neural architecture and applications.  Knowledge Acquisition and Expert Systems: properties, techniques, and tools of expert systems.


Profesor K.S. Leung, HSH 917, E-mail: ksleung@cse.cuhk.edu.hk
Official newsgroup: cuhk.cse.3230


Table of Contents


Download Notes                      **PLEASE ATTEND LECTURES**

                                                                                          THANK YOU!
     Chapter 1
     Chapter 2
    


Lecture Hours & Places

  1. Tue. 2:30 pm - 4:15 pm, Zoom
  2. Wed. 11:30 pm - 12:15 pm, Zoom

Tutorial Hours  Tutorial information

        To be annouced

TAs

  1. Mr. ZHENG, Xubin <xbzheng@link.cuhk.edu.hk>, Rm 1013, HSH Bldg 
  2. Mr. CHEN, Ran  <rchen@cse.cuhk.edu.hk>, Rm 905, HSH Bldg
  3. Mr. CHEN Jiamin, Vito <jmchen@cse.cuhk.edu.hk>, Rm 1013, HSH Bldg
  4. Ms. ZHANG Lu <lzhang@cse.cuhk.edu.hk>, Rm 905, HSH Bldg
  5. Mr. FU Xinyu  <xyfu@cse.cuhk.edu.hk>, Rm 1024, HSH Bldg

    Syllabus

     Topics to be covered:
    1.  Introductions
    2.  Problem solving: Searching Techniques & Game Playing
    3.  Knowledge Representation & Reasoning: Expert System
    4.  Learning
    5.  Neural Networks
    6.  Computer Vision
    7.  Wrap Up

    Homework Assignments

    Assignment & Topic & Issue Date & Due Date
    1. See tutorial homepage  http://proj.cse.cuhk.edu.hk/csci3230/

    Grade Assessment (New details given below)

    1. Assignments
    2. Weka Data mining Laboratory (5%)  CANCELLED
    3. Course project (20 %)
    4. Final examination (55%)      CANCELLED

    Grade Assessment (New details for CSCI3230)

    1. Assignments
    2. Course project (30 %)
    3. Term paper  (25%)

    Grade Assessment (New details for ESTR3108)

    1. Assignments
    2. Course project (21 %)
    3. Term paper  (17.5%)
    4. Elite Stream project (30%)

      Required Background

      Pre-requisites

      Programming Requirement
      Familiarity with the following topics is highly recommended:

      Reference Books

      1. Artificial Intelligence A Modern Approach by Stuart Russell and Peter Norvig, Prentice Hall International, 1995(1st edition), 2003 (2nd edition), 2011 (3rd edition), 2012 (International edition) (MAIN), 2019 (PDF edition), 4th edition coming.
    1. Other Books
      1. Book Sources


        Class Notes

              #   Download Notes
              *  It is highly recommended that you take notes in the class. Please do not depend solely on the reserved notes.


        Last modified on 7/Sept/2020



      Disclaimer: This is a user-contributed webpage hosted in Department of Computer Science and Engineering, The Chinese University of Hong Kong.
      The department is not responsible for the contents nor any loss or damage due to the content.
       

      Disclaimer: This is a user-contributed webpage hosted in Department of Computer Science and Engineering, The Chinese University of Hong Kong.
      The department is not responsible for the contents nor any loss or damage due to it.