CSI8751 인공지능특강 Hybrid Intelligent Systems: Methodologies and Applications

CSI8751 인공지능특강Hybrid Intelligent Systems:Methodologies and Applications 2007년도 제 1학기

강의진 소개 • 담당 교수 • 조성배(공대 C515;  2123-2720; sbcho@cs.yonsei.ac.kr) • 웹 페이지 : http://sclab.yonsei.ac.kr/courses/07TAI • 강의 시간 • 화 6, 목 5, 6 (공A542) • 면담 시간 • 화 7, 8 • 담당 조교 • 김경중 (황금성)

강좌 목표 • 본 강좌에서는 현실 세계의 다양한 문제를 해결하기 위한 지능기술의 통합모델에 대해서 이해하고, 대표적인 응용문제에의 적용사례를 통해 문제해결 능력을 함양한다. • 이를 바탕으로 한학기 동안 실제적인 문제의 해결을 실습하여 텀프로젝트와함으로써 연구결과를 만드는 경험을 쌓는다.

Human EC Soft Computing NN FL EC PC Game Bioinformatics MNN Social Agent Evolvable HW Robot PCR HWR CBR, FD, AD 수업 교재 Hybrid Intelligent Systems & Applications HMM FCN BN Speciation SASOM BM, MR SVM Conversational Agent TC, Web Mining IDS

수업 교재 • Textbook • Paper Collections in Hybrid Intelligent Systems

Course Schedule • 3/6 : Overview • 3/8, 3/13 : Neural Networks • 3/15, 3/20 : Fuzzy Systems • 3/22, 3/27 : Evolutionary Computation • 3/29, 4/3 : Fuzzy Neural Networks • 4/5, 4/10 : Evolutionary Neural Networks • 4/12, 4/17 : Evolutionary Fuzzy Neural Networks, 중간시험 • 4/19, 4/24 : 중간시험 기간 • 4/26, 5/1 : Bayesian Networks • 5/3, 5/8 : Probabilistic Modeling, Interactive EC • 5/10, 5/15 : Application to Robotics • 5/17, 5/22 : Application to Image Processing • 5/29 : Application to Bioinformatics • 5/31, 6/5 : Application to Mobile Devices • 6/7 : 프로젝트 결과발표 • 6/12 : 기말시험 기간

Evaluation Criteria • Evaluation Criteria • Term Project (written report & oral presentation) : 60% • Mid and Final Exams : 30% • Homework : 10% • Term Project (Oral presentation is required) : • Theoretical Issue (analysis, experiment, simulation) : Originality • Interesting Programming (Game, Demo, etc) : Performance • Survey : Completeness

List of Possible Projects • Tangible Agent • Integrated Model • Life Browser • Bayesian Network for Middleware • Cluster GA • SASOM for Motion Recognition • Evolvability • Evolutionary Neural Networks

CSI8751 인공지능특강 Hybrid Intelligent Systems: Methodologies and Applications