102年第1學期-5565 人工智慧方法論 課程資訊

評分方式

評分項目	配分比例	說明
課程參與以及作業	40
期中報告	30
期末報告	30

教育目標

This course is designed for the Master and Ph.D. students. The purpose of this course is to introduce basic concepts of the systems and the applications in Artificial Intelligence. Besides, the skills in analyzing the learning processes and the related methodologies will be covered. This course provide holistic and systematic view of Artificial Intelligence(AI) approach that are sustainable and appropriate to the research issues being developed. This course contains a course project to help students developing the skills to define problem and find the suitable solutions to the problems in AI related fields.

課程概述

This course is designed for the Ph.D. or aggresive Master students. The purpose of this course is to help the students to have acquaintance with the theoretical concepts and methodologies in the Statistical Learning Theory (SLT). The ways to expolore the relationships among data attracts many research attentions in these years. SLT is a heavy investigated, both in theory and methodologies, alternative in pursuing the target.

基本資料

選修課，學分數：3-0
上課時間：一/6,7,8[IEⅡ102]
修課班級：工工碩博1,2,3
修課年級：年級以上
選課備註：B637

參考書目

Selected papers and materials announced in the course