1.Understand the fundamental concepts and research issues of Artificial Intelligence.
2.Equip with Hands-on practices of Artificial Intelligence.
3.Conduct information systems research in the context of Artificial Intelligence
4.Exploring new knowledge in information technology, system development and application.
Dr. Min-Yuh Day is an Associate Professor in the Graduate Institute of Information Management at National Taipei University, Taiwan.
His current research interests include electronic commerce, financial technology, artificial intelligence, big data analytics, data mining and text mining, social media marketing, information systems evaluation, question answering systems, and biomedical informatics.
He was an Associate Professor in the Department of Information Management at Tamkang University, Taiwan.
He was a Postdoctoral Fellow in the Intelligent Agent Systems Lab, Institute of Information Science, Academia Sinica, Taiwan.
單元 1:Introduction to Artificial Intelligence
單元 2:Artificial Intelligence and Intelligent Agents
單元 3:Problem Solving
單元 4:Knowledge, Reasoning and Knowledge Representation; Uncertain Knowledge and Reasoning
單元 5:Midterm exam
單元 6:Machine Learning: Supervised and Unsupervised Learning
單元 7:The Theory of Learning and Ensemble Learning
單元 8:Deep Learning for Natural Language Processing
單元 9:Computer Vision and Robotics
單元 10:Philosophy and Ethics of AI and the Future of AI
單元 11:Final exam
影片瀏覽Class Participation：佔總成績 70 %
期中考Midterm exam：佔總成績 15 %
期末考Final exam：佔總成績 15 %
Required Texts: Stuart Russell and Peter Norvig (2020),Artificial Intelligence: A Modern Approach,4th Edition, Pearson.
Reference Books: Aurélien Géron (2019), Hands-On Machine Learning with Scikit-Learn, Kera’s, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems, 2nd Edition, O’Reilly Media.
Steven D'Ascoli (2022), Artificial Intelligence and Deep Learning with Python: Every Line of Code Explained for Readers New to AI and New to Python, independently published.
Nithin Buduma, Nikhil Buduma, Joe Papa (2022), Fundamentals of Deep Learning: Designing Next-Generation Machine Intelligence Algorithms, 2nd Edition, O'Reilly Media