For more details on the courses, please refer to the Course Catalog
| Code | Course Title | Credit | Learning Time | Division | Degree | Grade | Note | Language | Availability |
|---|---|---|---|---|---|---|---|---|---|
| SUP5001 | Deep Neural Networks: Theory and Applications | 3 | 6 | Major | Master/Doctor | 1-4 | Superintelligence Engineering | - | No |
| This course covers deep learning based on artificial neural network which is advanced on various industrial. This course, especially, give students basic understanding of modern neural networks and their applications in computer vision and natural language understanding. Students learn about Convuloutional networks, RNNs, LSTM, Dropout and more. This course introduceds the major technology trens driving Deep Learning. | |||||||||
| WIS5074 | Data Analytics in Action with Python | 3 | 6 | Major | Master/Doctor | 1-4 | Interaction Science | - | No |
| This course uses Python programming language for practicing examples of descriptive statistics, inferential statistics, regression, clustering analysis, as well as machine learning and deep learning. Its focus is more on applications than theory building. Students are encouraged to present the examples they found, and instructor and other students are doing questions and answers. This study is a social science-based trans-disciplinary course, rather than just a methodology or programming course. | |||||||||