Department of Computer Engineering
Academic Environment
Curriculum
| Course | Division | Grade year | Semester | Course title | Credit | Theory | Practice | Note |
|---|---|---|---|---|---|---|---|---|
| Major | Major | 1st | 1st | Fundamental of Artificial Intelligence | 3 |
2 |
1 |
|
| Programming Language | 3 |
0 |
3 |
|||||
| Introduction to Information Security | 3 |
0 |
3 |
|||||
| 2nd | Database | 3 |
0 |
3 |
||||
| Computer Programming | 3 |
0 |
3 |
|||||
| Prompt Engineering Applications | 3 |
0 |
3 |
|||||
| Core | 2nd | 1st | Operating Systems | 3 |
3 |
0 |
||
| Data Structures | 3 |
2 |
1 |
|||||
| Object-Oriented Programming | 3 |
0 |
3 |
|
||||
| Web Programming | 3 |
0 |
3 |
|||||
| Academic Planning & Competency Development Ⅰ | 0 |
1 |
0 |
Mandatory (Pass/Fail) | ||||
| 2nd | Algorithms | 3 |
2 |
1 |
||||
| Data Communication | 3 |
0 |
3 |
|||||
| Discrete Mathematics | 3 |
3 |
0 |
|||||
| Linux System | 3 |
0 |
3 |
|||||
| Academic Planning & Competency Development Ⅱ | 1 |
1 |
0 |
Mandatory (Pass/Fail) | ||||
| Advanced | 3rd | 1st | System Programming | 3 |
0 |
3 |
||
| Big Data Mining | 3 |
0 |
3 |
|||||
| Computer Graphics | 3 |
0 |
3 |
|||||
| Software Engineering | 3 |
3 |
0 |
|||||
| Career Prep & Pathways Ⅰ | 0 |
1 |
0 |
Mandatory (Pass/Fail) | ||||
| 2nd | Machine Learning | 3 |
0 |
3 |
||||
| Cryptography | 3 |
2 |
1 |
|||||
| Computer Architecture | 3 |
2 |
1 |
|||||
| Capstone Design I | 3 |
0 |
3 |
|||||
| Career Prep & Pathways Ⅱ | 1 |
1 |
0 |
Mandatory (Pass/Fail) | ||||
| Applied | 4th | 1st | Deep Learning | 3 |
0 |
3 |
||
| Capstone Design II | 6 |
0 |
6 |
|||||
| Future Design & Career Transition Ⅰ | 0 |
1 |
Mandatory (Pass/Fail) | |||||
| 2nd | Computer Vision | 3 |
0 |
3 |
||||
| Understanding Blockchain | 3 |
2 |
1 |
|||||
| Special Topics in Information Processing | 3 |
2 |
1 |
|||||
| Future Design & Career Transition Ⅱ | 1 |
1 |
0 |
Mandatory (Pass/Fail) | ||||
| Total Credits | 88 | |||||||