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Applications of AI Technology

TMU

Course Descriptions

Discover how artificial intelligence is transforming our lives in this four-week course developed by Taipei Medical University. Designed for learners with basic knowledge of AI algorithms, this program delves into the practical applications of intelligent systems across four key sectors. You will begin by exploring the fundamentals of machine learning, neural networks, and genetic algorithms. From there, you will investigate how deep learning powers the future of autonomous vehicles and self-flying drones. The course also highlights the vital role of AI in environmental sustainability, specifically within fisheries management. Finally, you will learn from medical experts about AI image analytics, focusing on MRI analysis and disease diagnosis. Whether you are interested in how robots learn or how data saves lives, this course provides a deep dive into the technologies shaping our workplaces, homes, and the future.

Total Learning Hours

Total learning hours of 4 hours (Total length of the courses video 2 hours 59 minutes)

Learning Objectives

1. Learners can list the basic principles and techniques of intelligent systems.

2. Learners able to explain how machine learning improved clinical application.

3. Learners can interpret deep reinforcement learning to train autonomous navigation for vehicles or drones.

4. Learners able to describe the possibility of how AI can lead to more sustainable fishing.

Target Learners

This course is designed for undergraduate and graduate students. Any interested individual from the general public are also welcome.

Evaluation

Unit Test for each units     60%graded
Final Exam       40% graded
Learners requires no less than 70% in order to pass the course and eligible to receive the certificate

MOOC Course Instructors

Instructor

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Prof. Ying-Jen Cheng

Assistant Professor, Department of Electronic Engineering, National Taipei University

Instructor

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Prof. Syu-Jyun Peng

Prof. Peng has been an Assistant Professor with Taipei Medical University, Taiwan. His research interests include artificial intelligence in medicine, brain connectome, and neuroimaging analysis.

Instructor

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Prof. Kuan-Ting Lai

Assistant Professor, Department of Electronic Engineering, National Taipei University of Technology (Taipei Tech)

Instructor

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Prof. CHUN-I WU

He is an assistant professor in the Department of Mechanical and Mechatronic Engineering at National Taiwan Ocean University, Taiwan (starting in February 2017).

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