Course information

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