NTU Course
Overview

Artificial Intelligence

Offered in 112-2

  • Serial Number

    37431

  • Course Number

    CSIE5400

  • Course Identifier

    922 U3020

  • Class 02
  • 3 Credits

  • Elective

    GRADUATE INSTITUTE OF COMPUTER SCIENCE & INFORMATION ENGINEERING / NTU GERIATRICS AND LONG TERM CARE PROGRAM / Intelligent Medicine Program / GRADUATE INSTITUTE OF NETWORKING AND MULTIMEDIA

      Elective

    • GRADUATE INSTITUTE OF COMPUTER SCIENCE & INFORMATION ENGINEERING

    • NTU GERIATRICS AND LONG TERM CARE PROGRAM

    • Intelligent Medicine Program

    • GRADUATE INSTITUTE OF NETWORKING AND MULTIMEDIA

  • YUNG-JEN HSU
    • View Courses Offered by Instructor

    • COLLEGE OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCE DEPARTMENT OF COMPUTER SCIENCE & INFOR

    • yjhsu@csie.ntu.edu.tw

    • 電資學院 資訊工程系館　三樓 318 室

    • 3366-4888-318

  • Thu 7, 8, 9

  • Please contact the department office for more information

  • Type 2

  • 60 Student Quota

    NTU 54 + non-NTU 6

  • No Specialization Program

  • English
  • NTU COOL
  • Core Capabilities and Curriculum Planning
  • Notes

    The course is conducted in English。

  • NTU Enrollment Status

    Enrolled
    0/54
    Other Depts
    0/0
    Remaining
    0
    Registered
    0
  • Course Description
    This is an introductory-level course to artificial intelligence.
  • Course Objective
    This course introduce the basic theory, algorithms, models, and applications of AI.
  • Course Requirement
    - Algorithms - Python Programming
  • Expected weekly study hours before and/or after class
    3+ hours per week
  • Office Hour
    email to aita2024s@agent.csie.ntu.edu.tw and yjhsu@csie.ntu.edu.tw
    *This office hour requires an appointment
  • Designated Reading
  • References
    Artificial Intelligence: A Modern Approach (4th ed.) by Stuart Russell and Peter Norvig http://aima.cs.berkeley.edu/ IE-Paperback is available at https://www.tenlong.com.tw/products/9781292401133 ISBN: 1292401133 ISBN-13: 9781292401133 Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control by Steven L. Brunton and J. Nathan Kutz https://databookuw.com/
  • Grading
    20%

    Programming Assignments

    20%

    Written Assignments

    30%

    Midterm Exam

    30%

    Final Project

    1. NTU has not set an upper limit on the percentage of A+ grades.
    2. NTU uses a letter grade system for assessment. The grade percentage ranges and the single-subject grade conversion table in the NATIONAL TAIWAN UNIVERSITY Regulations Governing Academic Grading are for reference only. Instructors may adjust the percentage ranges according to the grade definitions. For more information, see the Assessment for Learning Section。
  • Adjustment methods for students
    Adjustment MethodDescription
    D1

    由師生雙方議定

    Negotiated by both teachers and students

  • Make-up Class Information
  • Course Schedule
    02-22-2024Week 1Course Overview Chapter 1: Introduction: What Is Artificial Intelligence?
    02-29-2024Week 2Python Tutorial Pacman Projects (Berkeley CS188 Spring 2023) Chapter 2: Intelligent Agents ** codes for adding the course will be distributed to students who have completed the qualifying HW
    03-07-2024Week 3Problem Solving and Search: BFS/DFS Heuristic Search: Best-First Search and A*
    03-14-2024Week 4Beyond Classical Search Adversarial Search
    03-21-2024Week 5Quantifying Uncertainty and Bayes Nets Probability (from UC Berkeley CS188) Naive Bayes
    03-28-2024Week 6Essence of linear algebra by 3Blue1Brown (online classes) Dimensionality Reduction and Transforms
    04-04-2024Week 7[Holiday] 兒童節＋民族掃墓節
    04-11-2024Week 8Introduction to Machine Learning Regression and Model Selection Clustering and Classification
    04-18-2024Week 9Midterm Exam
    04-25-2024Week 10Introduction to Machine Learning Regression and Model Selection Clustering and Classification
    05-02-2024Week 11Natural Language Processing Term Project Description
    05-09-2024Week 12Computer Vision
    05-16-2024Week 13Self-Supervised Learning/Transformers Foundation Models Generative AI
    05-23-2024Week 14Reinforcement Learning
    05-30-2024Week 15Trustworthy AI
    06-06-2024Week 16Term Project Expo