教學大綱 Syllabus

科目名稱:數位製作與分析

Course Name: Digital Production and Analytics

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

課程簡介Course Description

This course is designed to equip students with practical skills in digital production and analysis, focusing on the integration of emerging technologies such as VR live streaming, AI-assisted multi-track real-time editing, and social media data analysis. It provides a comprehensive learning experience that combines conceptual instruction with hands-on practice. Students will learn to create digital content for new media, enhance audience engagement, and utilize data to support planning and evaluation processes. Emphasizing exploration, creativity, and practical application, this course aims to establish a strong foundation for students pursuing careers in digital media, marketing, and generative AI technology applications.

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

    • Gain an understanding of VR live streaming and AI-assisted editing, and attempt to complete digital content production.
    • Comprehend social media data analysis to develop strategic thinking and decision-making abilities.
    • Develop skills in digital project planning and execution while enhancing teamwork experience.

    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 Course Topic Content and Assigned Reading Teaching Activities and Assignments
    1 Course Overview and Introduction Explanation of teaching content and discussion with students to adjust course planning Course content explanation and planning adjustments
    2 Basics of VR Technology Principles and applications of VR live streaming Lecture and discussion: Case study on VR
    3 Filming and VR Production Techniques and tools for 360-degree video production Hands-on: Experience VR filming
    4 AI-Assisted Multi-Track Editing AI integration with various editing tools Hands-on: Use AI-powered tools for recording/editing
    5 Social Media Data Analysis Types and methods of social media data analysis Hands-on: Practicing social media data analysis
    6 Principles of Content Creation Essential principles for creating impactful and resonant content. Exercise: Design engaging content
    7 Cross-Platform Streaming and Marketing How to stream on different platforms and increase impact Hands-on: Test cross-platform streaming
    8 Midterm Project Proposal Group project proposal submission Proposal discussion and feedback
    9 AI-Assisted Highlights Editing Observe the automatic generation of transcripts and video tags. Hands-on: Editing highlight clips
    10 Project Planning Initial planning and goal setting for projects Write and submit a complete project plan
    11 Cross-Disciplinary Applications of VR and AI Applications of VR and AI in education, marketing, and entertainment Discussion: Case studies on cross-disciplinary applications
    12 Strategies to Increase Audience Engagement Practical methods to enhance engagement in live streams and videos Discussion and hands-on: Develop engagement strategies
    13 Project Proposal Refinement and detailed planning of the project Write and present proposals
    14 Project Review Analysis and revision of project plans Revise and finalize project plans
    15 Final Project Preparation Project implementation and finalization phase Discussion and one-on-one guidance
    16 Project Presentation Presentation of final projects Group presentations
    17 Flexible Week Additional instruction tailored to student needs Project revisions or independent extended learning
    18 Flexible Week Additional instruction tailored to student needs Project revisions or independent extended learning

     

    授課方式Teaching Approach

    10%

    講述 Lecture

    30%

    討論 Discussion

    40%

    小組活動 Group activity

    20%

    數位學習 E-learning

    %

    其他: Others:

    評量工具與策略、評分標準成效Evaluation Criteria

    • Assignments (30%): Includes practical tasks, analysis, and design projects.
    • Midterm Proposal (20%): Group project planning and presentation.
    • Final Project (30%): Project outcomes, process documentation, and presentation.
    • Class Participation (20%): Includes contributions to discussions and participation in activities.

    指定/參考書目Textbook & References

    Instructor-provided reading materials.

    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

    Yes

    列印