教學大綱 Syllabus

科目名稱:人工智慧

Course Name: Artificial Intelligence

修別:選

Type of Credit: Elective

3.0

學分數

Credit(s)

30

預收人數

Number of Students

課程資料Course Details

課程簡介Course Description

  • An introductory course for exploring the full breadth of the field, which encompasses logic, probability, and continuous mathematics perception, reasoning, learning, and action
  • Introduction to Generative Pre-trained Transformer (GPT)

 

核心能力分析圖 Core Competence Analysis Chart

能力項目說明


    課程目標與學習成效Course Objectives & Learning Outcomes

    • Basic knowledge of Artificial Intelligence
    • Introduction to Generative Pre-trained Transformer (GPT)
    • Hands-on experience in Artificial Intelligence programming

    每周課程進度與作業要求 Course Schedule & Requirements

    教學週次Course Week 彈性補充教學週次Flexible Supplemental Instruction Week 彈性補充教學類別Flexible Supplemental Instruction Type

    [Week 1] Artificial Intelligence, Machine Learning and Deep Learning  
    [Week 2] Introduction to Generative Pre-trained Transformer (GPT)
    [Week 3] 中秋節放假
    [Week 4] Chap 1 Introduction of Artificial Intelligence
    [Week 5] Chap 2 Intelligent Agents
    [Week 6] Student presents GPT applications
    [Week 7] Chap 3 Solving Problems by Searching (1/2)
    [Week 8] Chap 3 Solving Problems by Searching (2/2)
    [Week 9] Lab
    [Week 10] Chap 4 Search in Complex Environments (1/3)
    [Week 11] Chap 4 Search in Complex Environments (2/3)
    [Week 12] Chap 4 Search in Complex Environments (3/3)
    [Week 13] Chap 6 Adversarial Search and Games (1/3)
    [Week 14] Chap 6 Adversarial Search and Games (2/3)
    [Week 15] Chap 6 Adversarial Search and Games (3/3)
    [Week 16] Chap 7 Logical Agents (1/2)
    [Week 17] Chap 7 Logical Agents (2/2)
    [Week 18] Lab and program assignments due and review

    附註: 

    課程內容與指定閱讀:上課投影片
    教學活動與作業:[Week 1-16]老師授課&學生報告,[Week 17-18] 彈性補充教學
    學習投入時數(含課堂及課程前後):3小時 (4.5小時)

    授課方式Teaching Approach

    80%

    講述 Lecture

    0%

    討論 Discussion

    0%

    小組活動 Group activity

    0%

    數位學習 E-learning

    20%

    其他: Others: (1)助教帶實驗(2)學生報告

    評量工具與策略、評分標準成效Evaluation Criteria

    • Homework assignments:30%
    • Program assignments: 40%
    • Lab assignments:20%
    • GPT applications:10% 

    指定/參考書目Textbook & References

    1. Artificial Intelligence: A Modern Approach (4th Edition) by Stuart Russell and Peter Norvig, 2022.

    已申請之圖書館指定參考書目 圖書館指定參考書查詢 |相關處理要點

    維護智慧財產權,務必使用正版書籍。 Respect Copyright.

    課程相關連結Course Related Links

    
                

    課程附件Course Attachments

    課程進行中,使用智慧型手機、平板等隨身設備 To Use Smart Devices During the Class

    Yes

    列印