PROGRAM OVERVIEW

前沿学术项目

Cognitive Neuroscience.

The project focuses on the analysis of cognitive principles of the brain, computational modeling of cognitive functions, regulation and treatment of cognitive mechanisms, and social cognitive neuroscience. While teaching classic theories, the project also incorporates cutting-edge research methods to conduct advanced analysis experiments on cognitive functions.

Deep Learning and Computer Vision.

The project includes 10 core courses/modules, covering classic neural network models for deep learning and cutting-edge applications in computer vision. Combining with the latest research results from the MIT Artificial Intelligence and Computer Laboratory, learners will acquire the latest trends and challenges in the field of computer vision.

Superconducting Quantum Circuits. 

The project starts with classic theories in electronics and circuits, gradually delving into the core content of the field of circuit electronics, as well as applications such as superconducting quantum circuits and photonic integrated circuits. In the advanced modules, learners can choose different directions, such as low-power integrated circuit design or MEMS micro-intelligent sensor design. The instructors will also guide students in completing practical projects for integrated circuit design.

Machine Learning with Business Analytics.

From using clustering algorithms to create user profiles, predicting the value of cycles through cluster regression, to exploring data from mathematical and visual perspectives, this project leverages learning to uncover hidden relationships, correlations, patterns, associations, and investor behavior. It combines business cases, real data, modeling, and algorithms to extract and showcase the required information, reproducing decision-making in fields such as business, economics, and investments.