教學大綱 Syllabus

科目名稱：生成式AI實作

Course Name: Capstone: Generative AI
  • 學年學期：113-2 Spring Semester, 2025
  • 科目代碼：ZU1883001 Course No.ZU1883001

修別：選

Type of Credit: Elective

3.0

學分數

Credit(s)

25

預收人數

Number of Students

課程資料Course Details
  • 開課單位：創國學二、創國學三、創國學四 Course Department:Global Studies/B/2&3&4
  • 授課老師：呂欣澤 Instructor: LU HSIN-TSE
  • 先修科目：無Prerequisite(N/A)
  • 上課時間：三8EF Session: wed17-20

課程簡介Course Description

The aim of this course is to teach the application of generative AI technology for solving real-world problems in collaboration with three companies. Throughout the course, these companies will assign representatives to the classroom who will introduce their business models, operational challenges, expectations for generative AI, and actively participate in weekly course activities. The results of this course will not only be showcased during the ICI Joint-presentation but also submitted to the participating enterprises if the quality of the work is recognized.

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

    • Week 1 (02/19): Course Overview
    • Week 2 (02/26): Foundation of Gen AI, text-to-text generation, prompt engineering
    • Week 3 (03/05): Foundation of Gen AI, text-to-text generation, large-language models
    • Week 4 (03/12): Foundation of Gen AI, text-to-text generation, RAG
    • Week 5 (03/19): Foundation of Gen AI, text-to-image generation, prompt engineering
    • Week 6 (03/26): Foundation of Gen AI, text-to-image generation, LoRA
    • Week 7 (04/02): 校際活動週
    • Week 8 (04/09): Foundation of Gen AI, video generation, prompt engineering
    • Week 9 (04/16): Introduction to companies, their business model, pain-points and expectations
    • Week 10 (04/23): Problem Analysis and Solution Design
    • Week 11 (04/30): Solution Design
    • Week 12 (05/07): Proposal Presentation
    • Week 13 (05/14): Prototype Development
    • Week 14 (05/21): Prototype Development
    • Week 15 (05/28): Content Analysis
    • Week 16 (06/04): Joint Presentation
    • Week 17 (06/11): Final Report
    • Week 18 (06/18): AIA Summer Event

    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

     

    Generative AI is warmly welcomed in classroom settings, offering innovative tools and methods to enhance teaching and learning experiences. Its application in education encourages interactive and personalized learning approaches.

    授課方式Teaching Approach

    0%

    講述 Lecture

    30%

    討論 Discussion

    30%

    小組活動 Group activity

    40%

    數位學習 E-learning

    0%

    其他： Others:

    評量工具與策略、評分標準成效Evaluation Criteria

    Solution Design: 40%

    Prototype: 30%

    Final Report & joint presentation: 30%

    指定/參考書目Textbook & References

    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.

    本課程可否使用生成式AI工具Course Policies on the Use of Generative AI Tools

    完全開放使用 Completely Permitted to Use

    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
                
    
                
    
                        
                            是
                        
                        Yes
                
    
            
    
        
    
    
    
    
    
    
        
        
    
            
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