AI1001 Introduction to Artificial Intelligence

Course Description

Welcome to AI1001 Introducion to Artificial Intelligence! 🧠 This course will give you a fundamental knowledge necessary for developing and optimizing artificial intelligence models. This course covers not only traditional computer engineering topics such as computer architecture and programming, but also a broad range of artificial intelligence topics such as knowledge representation.

Time & Location

• Tuesday 9:00-10:15 @ College of Electronics Information and Applied Science 103

• Thursday 9:00 -10:15 @ College of Electronics Information and Applied Science 103

Objectives

• Understand modern computer systems

• Learn the basic concepts of artificial intelligences

• Gain first hands-on experience in artificial intelligence programming

Structure

This course  consists of two parts:

• Lecture will be given by the instructor, covering both computer system and artificial intelligence topics. 

• Exercise will be conducted for selected topics to help you understand the topics with practical activities.

• Assignment will be given before midterm and final exams, which includes theoretical questions related to the topics covered in the lecture 

Schedule

Evaluation

The grade will be given according to the following grading percentages.

• Midterm Exam 40%

• Final Exam 40%

• Assignment 10%

• Attendance 10%

Teaching Assistant

• Hyungi Jo, Contact 📧

Literature

• H. L. Capron and J. A. Johnson: Computers: Tools for an Information Age (7th Edition). 2002.

• R. Bryant: Computer Systems: A Programmer's Perspective. 2016.

• 도용태, 김일곤, 김종완, 박창현, 강병호: 인공지능 개념 및 응용 5판. 2022.