Secondary Major in AI and Data Analytics (AIDA) | Department of Mechanical Engineering

BEngIRE + AIDA

BEng (Hons) in Intelligent Robotics Engineering with a Secondary Major in AI and Data Analytics (AIDA)

Programme Code
43499-XAI

Programme Leader
Prof. MA Yuan

BEngME + AIDA

BEng (Hons) in Mechanical Engineering with a Secondary Major in AI and Data Analytics (AIDA)

Programme Code
43499-XAM

Programme Leader
Prof. CHENG Song

Programme Overview

Credit Required for Graduation: 134 credits + 10 training credits

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.

Entrance Requirements

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.

Programme Structure Indicative Progression Pattern (for IRE) Indicative Progression Pattern (for ME)

(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 AMA1110 Basic Mathematics I – Calculus and Probability & Statistics	(3)
Mathematics II for AIDA AMA2111 Mathematics I	(3)
Programming I: Programming Fundamentals ENG2002 Computer Programming	(3)
Programming II: Data Structures and Algorithms DSAI2201 Data Structures and Algorithms	(3)
Fundamentals of Data Analytics DSAI1102 Data Analytics Fundamentals; OR DSAI1201 Introduction to Data Analytics; OR EIE1003 Foundations of Data Science	(3)
Machine Learning DSAI4203 Machine Learning	(3)
Artificial Intelligence COMP4431 Artificial Intelligence	(3)
DSR-AIDA Bridging Subject ME35001Robotics and Computer Integrated Manufacturing for IRE ME46002 Numerical Methods for Engineers for ME	(3)
Integrated Capstone Project ME49008 Integrated Capstone Project for IRE ME49006 Integrated Capstone Project for ME	(6)
*Electives*	6
Total:	36

Links of Reference

Overview: https://www.polyu.edu.hk/ar/students-in-taught-programmes/flexible-study-options/secondary-major/

Programme Structure: https://www.polyu.edu.hk/dsai/study/ug/secondary-major-in-aida/programme-structure/

Programme Requirement Document: https://www.polyu.edu.hk/me/study/course-info/

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
1	ME35001	Robotics and Computer Integrated Manufacturing	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		Any 1 AIDA Elective	3	Elective
1 & 2	ME49008	Integrated Capstone Project	6	Compulsory
2		Any 1 AIDA Elective	3	Elective
Year 1 to 4		Total	36

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

Enquiries

Department of Mechanical Engineering
Phone: (852) 2766-6657
Email: me.info@polyu.edu.hk