| Course | Year and Semester | Units in each Semester | Units | Total Units |
| Required Core Course | ||||
| Chinese | Freshman Fall and Spring | 2 - 2 | 4 | 14 |
| Freshman English | 3 - 3 | 6 | ||
| Sophomore English | Sophomore Fall and Spring | 2 - 2 | 4 | |
| Military Training | 0 | 0 | ||
| Freshman PE | 0 | 0 | ||
| Sophomore PE | 0 | 0 | ||
| Labor Program | 0 | 0 | ||
| Required GE | ||||
| Humanities |
Need choose one of Humanities,Social Science,Natural Science and Logic Thinking and Basic Programming
At least 14 units |
14
|
||
| Social Science | ||||
| Natural Science | ||||
| Civilization and Classic | ||||
| Leadership and Ethics | ||||
| Logic Thinking and Basic Programming | ||||
| Interdisciplinary and Multi-faceted Issues | ||||
| Department Required | ||||
| Calculus A (I) | Freshman Fall | 3 - 0 | 3 | 54 |
| Discrete Mathematics | 3 - 0 | 3 | ||
| Introduction to Computer Science | 3 - 0 | 3 | ||
| Programming in Python | 3 - 0 | 3 | ||
| Design and Implementation in Artificial Intelligence (Part 1) | Freshman Spring | 0 - 3 | 3 | |
| Calculus A (II) | 0 - 3 | 3 | ||
| Probability and Statistics | 0 - 3 | 3 | ||
| Linear Algebra | 0 - 3 | 3 | ||
| Data Structures | Sophomore Fall | 3 - 0 | 3 | |
| Introduction to Machine Learning | 3 - 0 | 3 | ||
| Systems Programming | Sophomore Spring | 0 - 3 | 3 | |
| Computer Networks | 0 - 3 | 3 | ||
| Foundation of Deep Learning | 0 - 3 | 3 | ||
| Collegiate Programming Examination(CPE) | 0 - 1 | 1 | ||
| Computer Organization | Junior Fall | 3 - 0 | 3 | |
| Data Base System | 3 - 0 | 3 | ||
| Algorithms | 3 - 0 | 3 | ||
| Operating System | Junior Spring | 0 - 3 | 3 | |
| Practice of Projects in Computer Engineering | Senior Fall | 2 - 0 | 2 | |
| Department Required to Choose | ||||
| C++ Programming Language | Freshman Spring | 0 - 3 | 3 | 23 (Must choose before graduate) |
| Design and Implementation in Artificial Intelligence (Part 2) | Sophomore Fall | 3 - 0 | 3 | |
| Introduction to Regression Analysis | 3 - 0 | 3 | ||
| Natural Language Processing | 3 - 0 | 3 | ||
| Data Analysis and Data Engineering | Sophomore Spring | 0 - 3 | 3 | |
| Advanced Deep Learning | Junior Fall | 3 - 0 | 3 | |
| Compiler | Junior Spring | 0 - 3 | 3 | |
| Seminar | 0 - 2 | 2 | ||
| Department Elective | ||||
| Artificial Intelligence Applications to Cybersecurity | First Semester | 3 - 0 | 3 | |
| Kaggle cases and problem solving skills | 3 - 0 | 3 | ||
| Regression Analysis Technology and Application | 3 - 0 | 3 | ||
| Decision Support and AI | 3 - 0 | 3 | ||
| Advanced Algorithm | 3 - 0 | 3 | ||
| Web Programming | 3 - 0 | 3 | ||
| Software Project Management | 3 - 0 | 3 | ||
| Linux Operating System | 3 - 0 | 3 | ||
| Reinforcement Learning | 3 - 0 | 3 | ||
| AI innovation and implementation | Second Semester | 0 - 3 | 3 | |
| Image and video processing applications (OpenCV cross-platform computer vision library) | 0 - 3 | 3 | ||
| Enterprise AI Cases and Implementation | 0 - 3 | 3 | ||
| Smart Manufacturing and Practices Utilizing AI Automation | 0 - 3 | 3 | ||
| Cloud Computing | 0 - 3 | 3 | ||
| Human Factor Engineering | 0 - 3 | 3 | ||
|
0 - 3 | 3 | ||
| Total Units | ||||
| Required Unit(Including required core, GE and department required courses) | 82 | |||
| Elective Units | 46 | Need to include 36 units from department electives. | ||
| Graduate Units(Including required and elective units) | 128 | |||
Direction：
1. This schedule is for 2020 academic year freshman.