Course Syllabus

Course Information：

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

Spring Semester
Year 2025 346375 Artificial Intelligence 1 3.0 3 ★ KUO JONG-YIH GCSIE 18 0 　

Year-Semester	Course Number	Course Name	Phase	Credits	Hours	Required/Elective	Instructor	Class	Student NO.	Withdraw	Note
Spring Semester Year 2025	346375	Artificial Intelligence	1	3.0	3	★	KUO JONG-YIH	GCSIE	18	0

Course Plan：

Instructor KUO JONG-YIH　Office Hours

Email jykuo@ntut.edu.tw

Last Updated 2025-02-18 04:48:08

Course Objective To introduce artificial intelligence algorithms and application technologies. Students taking this course will have a basic knowledge of AI and be able to engage in related practice experiments. The content includes Predicate and Proposition, Theory Proving, Genetic Algorithm, T-test, Logistic Regression, Bayesian inference, KMeans, KNN, Decision Tree, Random Forest, Support Vector Machine, Reinforcement Learning, Deep Neural Networks, Convolutional Neural Networks, Long Short-Term Memory, Large Language Model, Retrieval-Augmented Generation, Ensemble Learning.

Course Schedule Week01(02/19): AI Concept, Proposition Week02(02/26): First-order Logic and Theory Proving Week03(03/05): Genetic Algorithm, Ant Algorithm Week04(03/12): Hypothesis Testing Week05(03/19): ANOVA and T-test Week06(03/26): Logistic Regression, Naive Bayes Classifier Week07(04/02): Quiz 1 Week08(04/09): KMeans, KNN, Association Rules Week09(04/16): Decision Tree, Random Forest Week10(04/23): Support Vector Machine Week11(04/30): Reinforcement Learning, Q-Learning Week12(05/07): Neural Networks, Deep Neural Networks Week13(05/14): Convolutional Neural Networks Week14(05/21): Long Short-Term Memory, Ensemble Learning Week15(05/28): Large Language Model, Retrieval-Augmented Generation Week16(06/04): Quiz 2 Week17(06/11): Term Project: Final Report & Demo Week18(06/18): Term Project: Final Report & Demo

Evaluation and grading policy 30% Class Practices and Assignments 30% Quiz 40% Projects (Personal and Teams)

Materials All right reserved. Do not reproduce without permission.

Foreign-language textbooks:No
自製教材、研究論文

The access to curricular consultation ZUVIO
LINE https://line.me/R/ti/g/SUyXcFYhea

The course corresponds to the SDGs SDG1：消除貧窮（No Poverty）
SDG2：消除飢餓（Zero Hunger）
SDG4：優質教育（Quality Education）

Does the course incorporate AI

Note
　

Instructor	KUO JONG-YIH　Office Hours
Email	jykuo@ntut.edu.tw
Last Updated	2025-02-18 04:48:08
Course Objective	To introduce artificial intelligence algorithms and application technologies. Students taking this course will have a basic knowledge of AI and be able to engage in related practice experiments. The content includes Predicate and Proposition, Theory Proving, Genetic Algorithm, T-test, Logistic Regression, Bayesian inference, KMeans, KNN, Decision Tree, Random Forest, Support Vector Machine, Reinforcement Learning, Deep Neural Networks, Convolutional Neural Networks, Long Short-Term Memory, Large Language Model, Retrieval-Augmented Generation, Ensemble Learning.
Course Schedule	Week01(02/19): AI Concept, Proposition Week02(02/26): First-order Logic and Theory Proving Week03(03/05): Genetic Algorithm, Ant Algorithm Week04(03/12): Hypothesis Testing Week05(03/19): ANOVA and T-test Week06(03/26): Logistic Regression, Naive Bayes Classifier Week07(04/02): Quiz 1 Week08(04/09): KMeans, KNN, Association Rules Week09(04/16): Decision Tree, Random Forest Week10(04/23): Support Vector Machine Week11(04/30): Reinforcement Learning, Q-Learning Week12(05/07): Neural Networks, Deep Neural Networks Week13(05/14): Convolutional Neural Networks Week14(05/21): Long Short-Term Memory, Ensemble Learning Week15(05/28): Large Language Model, Retrieval-Augmented Generation Week16(06/04): Quiz 2 Week17(06/11): Term Project: Final Report & Demo Week18(06/18): Term Project: Final Report & Demo
Evaluation and grading policy	30% Class Practices and Assignments 30% Quiz 40% Projects (Personal and Teams)
Materials	All right reserved. Do not reproduce without permission. Foreign-language textbooks:No 自製教材、研究論文
The access to curricular consultation	ZUVIO LINE https://line.me/R/ti/g/SUyXcFYhea
The course corresponds to the SDGs	SDG1：消除貧窮（No Poverty） SDG2：消除飢餓（Zero Hunger） SDG4：優質教育（Quality Education）
Does the course incorporate AI
Note