Curriculum
Systematic curriculum for AI professional development
Education Objectives
Our department trains comprehensive AI professionals through 5 specialized tracks, covering core AI technology, applications, systems, and data analysis.
AI Core
AI Engineer / Developer
SW & Systems
Software & Systems Specialist
Data Analysis
Data Analysis Specialist
AI Applications
AI Robotics / Applied Tech Developer
Capstone
Practical Skills
Curriculum Roadmap
AI Core
AI Engineer / Developer
1-1
AI & Society
1-2
Intro to AI Language Models & NLP
2-1
Machine Learning Computer Vision Signals & Systems
2-2
Pattern Recognition Speech Recognition Object Tracking
3-1
Deep Learning Algorithms Multimodal Generative AI
3-2
DL for NLP
4-2
Next-Gen AI
SW & Systems
Software & Systems Specialist
1-1
Info Security Python Coding
1-2
Server & Network Security
2-1
Computational Science OS
2-2
AI Security Data Structures
3-2
Cloud Computing Computer Architecture
4-1
ML Systems
Data Analysis
Data Analysis Specialist
1-1
AI Mathematics
1-2
Probability & Statistics Big Data Fundamentals
2-1
R Programming
3-2
Intelligent Systems
AI Applications
AI Robotics / Applied Tech Developer
2-2
Robotics Fundamentals
3-1
Collaborative Robots
3-2
Game Programming Intelligent HCI & UX
4-1
3D Engine Personalized AI Signal Processing
Capstone
Practical Skills
3-1
Capstone Design 1
3-2
Capstone Design 2
4-1
Capstone Design 3
4-2
Capstone Design 4
Curriculum Highlights
01
Progressive Learning
Foundation courses in years 1-2, advanced and applied courses in years 3-4
02
5 Specialized Tracks
Tailored professional development through specialized learning paths
03
Hands-on Projects
4 semesters of Capstone Design + industry partnership projects
04
Cutting-edge Tech
Multimodal Generative AI, Next-Gen AI, and latest industry trends