EDUCATIONAL OBJECTIVES
▣ Educating engineers and/or scientists equipped with scientific ethics who take the lead in developing technologies to enrich human life.
▣ Training engineers and/or scientists equipped with theory and practice who can actively define new problems and find solutions in a rapidly changing environment.
TEACHING
▣ Undergraduate Courses
2024 Spring@ANU - Data Analytics, Artificial Intelligence, Operating System
2023 Autumn@ANU - Data Structure, Computer Vision, Machine Learning Programming
2023 Spring@ANU - Algorithms, Machine Learning Applications, SW Capstone Design
2022 Autumn@ANU - C Programming II, Computer Vision, Data Structure
2022 Spring@ANU - Algorithms, Machine Learning Applications, Information Theory and Reasoning, Natural Language Processing, Capstone Design
2021 Autumn@ANU - Mathematics for AI, Computer Vision, Digital Humanities
2021 Spring@ANU - Algorithms, Machine Learning Applications, Information Theory and Reasoning
2020 Autumn@Y'sU - Introduction to IoT, Artificial Neural Network & Deep Learning, Research in major fields using open source
2020 Spring@Y'sU - Computational Linear Algebra, Computer Vision, Capstone Design
2019 Autumn@Y'sU - Introduction to LINUX, Introduction to IoT, IoT Projects, Information Processing, Research in major fields using open source
▣ Graduated Courses
2024 Spring@ANU - AI Convergence Education Special Lecture
2023 Autumn@ANU - Machine Learning Utilization for Education
2022 Autumn@ANU - Programming for Education
Last Updated : 17 January, 2023.