NCHU Course Outline
Course Name (中) 大數據分析、機器學習與人工智慧(6749)
(Eng.) Big Data Analytics, Machine Learning, and Artificial Intelligence
Offering Dept Intelligence Science, Engineering and Technology Master Degree Program
Course Type Elective Credits 3 Teacher LIAO,KUO-CHIH ect.
Department Intelligence Science, Engineering and Technology Master Degree Program/Graduate Language English Semester 2024-FALL
Course Description This course is designed for students who need hands-on training of data engineering, machine learning, and general understanding of AI. We will begin with introduction to the rise and
evolution of the Data Science. Its applications in various fields, such as business, healthcare, and manufacturing, will also be discussed.
Prerequisites
self-directed learning in the course Y
Relevance of Course Objectives and Core Learning Outcomes(%) Teaching and Assessment Methods for Course Objectives
Course Objectives Competency Indicators Ratio(%) Teaching Methods Assessment Methods
This course covers the basic concepts of Big Data Analytics, Data Engineering, Business Analytics, Supervised & Unsupervised Machine Learning, Deep Neural Networks, and Machine Learning Interpretability. Students will also be introduced to how to use R & Python programming language and its packages to solve real-world big data problems.
Other
Lecturing
Attendance
Assignment
Quiz
Internship
Course Content and Homework/Schedule/Tests Schedule
Week Course Content
Week 1 Introduction: Big data, Machine learning, AI
Week 2 Machine Learning: Concepts, Applications
Week 3 Classifier: Nearest Neighbor
Week 4 Classifier: Linear and Polynominal
Week 5 Model: Artificial Neural Network
Week 6 Model: Decision Tree
Week 7 Model: Ensemble Learning
Week 8 Mid-term
Week 9 Machine Learning: Development process
Week 10 Big data Analytic: Dataset aspects (feature, label)
Week 11 Machine learning: Performance Evaluation
Week 12 Practical: Developing Machine Learning with Colab
Week 13 Practical: Developing Machine Learning with Colab
Week 14 Example projects
Week 15 Example projects
Week 16 Final Exam
Week 17
Week 18
Evaluation
Attendance: 10%
Assignment: 20%
Mid-term exam: 35%
Final exam: 35%
Textbook & other References
(1) 張志勇. 人工智慧 三版. 全華圖書. 2023年. ISBN:9786263287037
(2) 蔡炎龍等. 少年Py的大冒險-成為Python AI深度學習達人的第一門課. 全華出版. 2022年. ISBN:9786263282964
(3) Philip C. Jackson Jr. Introduction to Artificial Intelligence. ISBN: 9780486248646
Teaching Aids & Teacher's Website
https://www.bme.nchu.edu.tw/members/tsching/
Office Hours
Mon 12:00~13:00
Sustainable Development Goals, SDGs
include experience courses:N
Please respect the intellectual property rights and use the materials legally.Please repsect gender equality.
Update Date, year/month/day:2024/08/30 13:53:25 Printed Date, year/month/day:2024 / 10 / 13
The second-hand book website:http://www.myub.com.tw/