開課班級Class: 授課教師Teacher: 學分數Credits:
碩專高階二 蔡正發,蘇泰盛 3
課程大綱Course Description:
大數據分析(Big Data Analytics)主要是協助修課同學學習與瞭解人工智慧與大數據分析基本知識。課程包括人工智慧的發展與現況,人工智慧(含深度學習)和大數據分析兩者間的關連性。也將介紹大數據分析所需要的完整資料處理與建模流程,包括大數據收集,處理,轉換與載入的前置作業,經建模後所需要的各種演算法及學習模型訓練,驗證的最佳化技術與建模後的測試準確性與完整性的檢驗,及資料分析結果的顯示與解讀。智慧物流(Smart Logistics)主要是協助修課同學學習與瞭解智慧製造與智慧物流基本知識。課程包括智慧製造、物聯網架構、感測器與識別技術及智慧物流技術等。此門課程將教授智慧製造與智慧物流的理論基礎,實務案例與識別技術,以及智慧物流學術文章之導讀,培養培育學生能力與智慧物流人才。
English Outline:
The Big Data Analytics course teaches students about artificial intelligence and big data analysis, covering the development of AI and its relationship with big data analysis. The course covers the entire data processing and modeling process for big data analysis, including data collection, processing, conversion, loading, algorithms, and model training. Verified optimization techniques, post-modeling testing accuracy and completeness testing, and display and interpretation of data analysis results. The Smart Logistics course teaches smart manufacturing, Internet of Things architecture, sensor and identification technology, and smart logistics technology. This course will cover the theoretical foundations of smart manufacturing and smart logistics, practical case studies, identification techniques, and introduction to academic articles on smart logistics to develop students' skills and talents in the field.
本科目教學目標Course Objectives:
教學型態Teaching Models: 成績考核方式Grading:
課堂教學+小組討論  平時成績General Performance:40%
期中考Midterm Exam:30%
期末考Final exam:30%
其它 Other:平時成績含出席狀況
參考書目Textbooks/References:
商務大數據分析:案例分析與AI應用趨勢,黃正傑編著,初版,全華出版社。
SDGs指標:
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UCAN職業項目:
課程更新狀態:
課程匯入時間Import Time:2024-07-15 13:43:21
最後更新時間Last Modified:2024-08-16 11:34:18,更新人modified by:蔡正發