This course combines teachers from various interdisciplinary departments, including applied mathematics, information science and engineering, information management, mechanical engineering, and statistics. The planned total graduation score is 30 credits. The course includes:
Basic courses
Data Science and Regression Analysis, Python Programming and Application, Mathematical Analysis to Date Science, Machine Learning, Image Analysis and Recognition, Digital Signal Processing, Human-Computer Interaction and Computer Vision
Professional core
Deep Learning, Data Mining, Wireless Networks and Information Security, Applied Multivariate Analysis, Applications in Data Analysis and Artificial Intelligence
Research ability
Thesis, Research Methods, Current Literature Studies
Course information