Course Content
Artificial Intelligence:
- Applied Machine Learning
- Principles of Artificial Intelligence
- Methods and Applications of Deep Learning
- Natural Language Processing
- Computer Vision and Robotics
- Advanced Machine Learning
- Statistical Learning
- Advanced Issues of Artificial Intelligence
- Probabilistic Graph and Agents
- Frontiers of Artificial Intelligence
- Industrial Intelligence Application
- Robot Kinematics and Dynamics
- Deep Reinforcement Learning and Control
- Computational Cognitive Science
- Strategic Reasoning for AI
- Planning Techniques for Robotics
- Advanced Data Analysis
Programming:
- Python and Tensorflow Programming
- Programming Language C
- Object-Oriented Programming-C++
- JavaEE (Programming Elective)
Computer Science:
- Discrete Mathematics
- Data Structures
- Design and Analysis of Algorithms
- Principles of Operating Systems
- Software Architecture and Development Environment
- Computer Architecture
- Principles of Computer Composition
- Compiler Principles and Language Parser
- Computer Networks and Communication
- Software Engineering
- Digital Signal Processing
- Computer Graphics
- Digital Signal Processing
- Computer Graphic
