3. 강의목표
The objective of Artificial Intelligence is to create software systems that demonstrate intelligent behavior. This course offers an introduction to the algorithmic and programming techniques required to translate mathematical and abstract concepts of artificial intelligence into software systems.
The course will commence with a brief review of Python programming, covering data structures, and algorithms. Subsequently, we will delve into the mathematical and algorithmic aspects of developing, implementing, and critically evaluating several AI techniques.
4. 강의선수/수강필수사항
While this course offers a brief review of the fundamental Python programming language, it presupposes prior experience in Python and a foundational background in programming. Students without previous exposure to a programming course might encounter some challenges in the initial phase of this course.
5. 성적평가
Midterm exam (30%), coursework (30%), Final project (40%)
8. 강의진도계획
W1-4: Review of Python programming
W5-7: Basic mathematical programming8 Midterm exam
W9-12: Classical AL algorithms
W13-15: Basic neural networks
W16: Final project
11. 장애학생에 대한 학습지원 사항
- 수강 관련: 문자 통역(청각), 교과목 보조(발달), 노트필기(전 유형) 등
- 시험 관련: 시험시간 연장(필요시 전 유형), 시험지 확대 복사(시각) 등
- 기타 추가 요청사항 발생 시 장애학생지원센터(279-2434)로 요청