Course Syllabus

Course Information：

Year-Semester Course Number Course Name Phase Credits Hours Required/Elective Instructor Class Student NO. Withdraw Note

Spring Semester
Year 2023 316808 Big Data Analytics for Business Intelligence 1 3.0 3 ★ Cheng, Chen-Yang IMBA
GIFM
IMFI
CMGT 8 0 IMBA&IMFI,計中電腦教室

Year-Semester	Course Number	Course Name	Phase	Credits	Hours	Required/Elective	Instructor	Class	Student NO.	Withdraw	Note
Spring Semester Year 2023	316808	Big Data Analytics for Business Intelligence	1	3.0	3	★	Cheng, Chen-Yang	IMBA GIFM IMFI CMGT	8	0	IMBA&IMFI,計中電腦教室

Course Plan：

Instructor Cheng, Chen-Yang　Office Hours

Email cuc174@gmail.com

Last Updated 2022-12-28 19:59:46

Course Objective 本課程主要教授大數據分析、機器學習與人工智慧於商業數據分析的理論與實務，在課程內容會包含深度學習的基礎知識，包含Convolutional Neural Networks (CNN)等的架構與實作教學。這門課程將包含基礎程式實作，也會在工業4.0、智慧製造、數據資料分析多個實務應用中，藉由上機實作、課堂作業、小組專題、報告與討論各種方式，讓所有學生具備跨足大數據分析、人工智慧、機器學習等所需的資訊技術與應用領域知識。本課程除了學習大數據分析與深度學習理論，另藉由實例應用開發來建構同學們實作的能力。期望能將各種已經成熟的AI科技，應用於管理決策。 The course is to introduce the theoretical background of big data, machine learning and artificial intelligence in business analysis applications. The class participants should be able to learn the the basic knowledge of deep learning including the framework of Convolutional Neural Networks (CNN) and its practical implementation. The course also contains the programming language teaching, and case study about industrial 4.0, smart manufacturing and open data analysis. Students could learn how to apply the AI technology in decision making.

Course Schedule 1. Python programming 2. Associate rule 3. Decision tree 4. Cluster analysis

Evaluation and grading policy Homework 50% Final project 50%

Materials All right reserved. Do not reproduce without permission.

Foreign-language textbooks:No
Slides

The access to curricular consultation Please e-mail: cycheng@ntut.edu.tw

The course corresponds to the SDGs

Note
The course will be taught on Microsoft Teams.
https://teams.microsoft.com/l/meetup-join/19%3aKTU9Xo35OQoHYlerPL0da9RzIErPL8549tLslcuHXhg1%40thread.tacv2/1632286255348?context=%7b%22Tid%22%3a%22dfb5e216-2b8a-4b32-b1cb-e786a1095218%22%2c%22Oid%22%3a%22f59276b4-db41-4f85-8d82-7d84d3593876%22%7d

Instructor	Cheng, Chen-Yang　Office Hours
Email	cuc174@gmail.com
Last Updated	2022-12-28 19:59:46
Course Objective	本課程主要教授大數據分析、機器學習與人工智慧於商業數據分析的理論與實務，在課程內容會包含深度學習的基礎知識，包含Convolutional Neural Networks (CNN)等的架構與實作教學。這門課程將包含基礎程式實作，也會在工業4.0、智慧製造、數據資料分析多個實務應用中，藉由上機實作、課堂作業、小組專題、報告與討論各種方式，讓所有學生具備跨足大數據分析、人工智慧、機器學習等所需的資訊技術與應用領域知識。本課程除了學習大數據分析與深度學習理論，另藉由實例應用開發來建構同學們實作的能力。期望能將各種已經成熟的AI科技，應用於管理決策。 The course is to introduce the theoretical background of big data, machine learning and artificial intelligence in business analysis applications. The class participants should be able to learn the the basic knowledge of deep learning including the framework of Convolutional Neural Networks (CNN) and its practical implementation. The course also contains the programming language teaching, and case study about industrial 4.0, smart manufacturing and open data analysis. Students could learn how to apply the AI technology in decision making.
Course Schedule	1. Python programming 2. Associate rule 3. Decision tree 4. Cluster analysis
Evaluation and grading policy	Homework 50% Final project 50%
Materials	All right reserved. Do not reproduce without permission. Foreign-language textbooks:No Slides
The access to curricular consultation	Please e-mail: cycheng@ntut.edu.tw
The course corresponds to the SDGs
Note	The course will be taught on Microsoft Teams. https://teams.microsoft.com/l/meetup-join/19%3aKTU9Xo35OQoHYlerPL0da9RzIErPL8549tLslcuHXhg1%40thread.tacv2/1632286255348?context=%7b%22Tid%22%3a%22dfb5e216-2b8a-4b32-b1cb-e786a1095218%22%2c%22Oid%22%3a%22f59276b4-db41-4f85-8d82-7d84d3593876%22%7d