Secondary Major Programmes
Programme Code
43499-XAM
Credit Required for Graduation
(134 credits + 10 training credits)
Programme Leader(s)
Prof. CHENG Song, songryan.cheng@polyu.edu.hk
This Secondary Major in AIDA programme aims to equip students with the knowledge and skills to:
- Understand the fundamentals of AIDA and have the ability to apply them;
- Design AIDA systems, components, and processes to meet given specifications and constraints;
- Identify, formulate, and solve problems relevant to AIDA;
- Use modern IT tools appropriate to AIDA practice; and
- Recognize contemporary issues and understand the impact of AIDA solutions in a global and societal context.
To be eligible for a Secondary Major, you must have a cumulative GPA of 2.70 or above at the time of application for Secondary Major enrolment.
The Secondary Major application period normally begins after the announcement of overall results for Semester Two of Year One. Your CGPA at the end of Semester Two of Year One will be used to determine your eligibility. If you are interested in pursuing a Secondary Major, please submit your application via eStudent > Application Forms > (AR164) Application for Major/Secondary Major/Double Major during the designated application period.
(Credit Requirements: 36 credits including at least 50% of the subjects should be at Level 3 or above.)
Subject List of Secondary Major in AIDA
| Artificial Intelligence and Data Analytics (AIDA) | Credits |
|---|---|
| Core | 30 |
|
Mathematics I for AIDA
|
(3) |
|
Mathematics II for AIDA
|
(3) |
|
Programming I: Programming Fundamentals
|
(3) |
|
Programming II: Data Structures and Algorithms
|
(3) |
|
Fundamentals of Data Analytics
|
(3) |
|
Machine Learning
|
(3) |
|
Artificial Intelligence
|
(3) |
|
DSR-AIDA Bridging Subject
|
(3) |
|
Integrated Capstone Project
|
(6) |
| Electives | 6 |
| Total: | 36 |
For further details of the Secondary Major in AIDA, please refer to the PRD
https://www.polyu.edu.hk/me/study/course-info/ and https://www.polyu.edu.hk/comp/study/ug-programmes/aida/curriculum/.
| Suggested Semester | Code | Subject | Credit | Compulsory/Elective |
|---|---|---|---|---|
| Year 1 | ||||
| 1 | AMA1110 | Basic Mathematics I – Calculus and Probability & Statistics | 3 | Compulsory |
| 2 | ENG2002 | Computer Programming | 3 | Compulsory |
| Year 2 | ||||
| 1 | AMA2111 | Mathematics I | 3 | Compulsory |
| 2 | DSAI2201 | Data Structures and Algorithms | 3 | Compulsory |
| Year 3 | ||||
| 1 | COMP4431 | Artificial Intelligence | 3 | Compulsory |
| 2 | DSAI1102 | Data Analytics Fundamentals | 3 | Compulsory |
| DSAI1201 | Introduction to Data Analytics | |||
| EIE1003 | Foundations of Data Science | |||
| 2 | DSAI4203 | Machine Learning | 3 | Compulsory |
| Year 4 | ||||
| 1 | ME46002 | Numerical Methods for Engineering | 3 | Compulsory |
| 1 | Any 1 AIDA Elective | 3 | Elective | |
| 1 & 2 | ME49006 | Integrated Capstone Project | 6 | Compulsory |
| 2 | Any 1 AIDA Elective | 3 | Elective | |
| Year 1 to 4 | Total | 36 | ||
