Enquiry for Course Details
ASAI4798 Applied AI project (12 credits) Academic Year 2025
Offering Department Mathematics Quota 50
Course Co-ordinator Prof T W Ng, Mathematics < ntw@maths.hku.hk >
Teachers Involved (Various CS teachers as the assessors of oral presentations and written reports,Computer Science)
(Various Maths teachers as the assessors of oral presentations and written reports,Mathematics)
(Various SAAS teachers as the assessors of oral presentations and written reports,Statistics & Actuarial Science)
Course Objectives Each year a few projects suitable for BASc(AppliedAI) students will be offered to provide students with practical experience in approaching a real problem, in report writing and in oral presentation. These projects, under the supervision of individual staff members, involve the applications of artificial intelligence in a wide range of problems of practical and/or academic interests.
Course Contents & Topics These projects, under the supervision of individual staff members, involve the applications of artificial intelligence models, techniques, and advanced computing technologies in a wide range of problems of practical and/or academic interests.  The topic areas may cover, but not limited to, AI in Smart City, AI in HealthTech, AI in FinTech, AI in Neuroscience, AI in Medicine, AI in Internet of Things (IoT), AI in Education, etc.
Course Learning Outcomes
On successful completion of this course, students should be able to:

CLO 1 gain first-hand experience in solving a research or applied problem in statistics or related areas
CLO 2 develop skills in important technical tools, including the use of AI, computing software or programs, for typical statistical/AI research and data analyses
CLO 3 write succinct reports on the findings of a research study
CLO 4 make concise oral presentation of the findings of a research study
Pre-requisites
(and Co-requisites and
Impermissible combinations)		 Pass in at least 24 credits of advanced level disciplinary core/elective courses in BASc(AppliedAI) programme; and
This is a selective course.  Student are expected to have a CGPA higher than 3.0 and their enrollment is subject to the approval of the course coordinator.
Not for students who have already enrolled in ASAI3799 in this academic year.
This capstone course is only for BASc(AppliedAI) students;  
The earliest that a student is allowed to take this capstone course is their year 3 study.
Course Status with Related Major/Minor /Professional Core 2U000C00 Course not offered under any Major/Minor/Professional core
2025 Bachelor of Arts and Sciences in Applied Artificial Intelligence ( Disciplinary Elective )
Course to PLO Mapping 2025 Bachelor of Arts and Sciences in Applied Artificial Intelligence < PLO 2,3,4,5 >
Offer in 2025 - 2026 Y        Year long    Examination No Exam     
Offer in 2026 - 2027 Y
Course Grade A+ to F
Grade Descriptors
A Demonstrate thorough grasp of the subject. Show strong analytical and critical abilities and logical thinking, with evidence of original thought. Insightful use and critical analysis / evaluation of information drawn from a full range of high quality sources and to quote/reference aptly. Critical use of data and results to draw appropriate and insightful conclusions. Apply highly effective organizational and presentational skills. [Work of A+ should show considerable additional work beyond that is required in wider areas relevant to the topic.]
B Demonstrate substantial grasp of the subject. Evidence of analytical and critical abilities and logical thinking. Critical use of relevant information from sources, showing ability to make meaningful comparisons between different secondary interpretations and to quote/reference aptly. Correct use of data of results to draw appropriate conclusions. Apply effective organizational and presentational skills.
C Demonstrate general but incomplete grasp of the subject. Evidence of some analytical and critical abilities and logical thinking. Use of relevant information from sources, showing ability to make comparisons between different interpretations and to quote/reference aptly. Mostly correct but some erroneous use of data and results to draw appropriate conclusions. Apply moderately effective organizational and presentational skills.
D Demonstrate partial but limited grasp, with retention of some relevant information, of the subject. Evidence of some coherent and logical thinking, but with limited analytical and critical abilities. Demonstrate use and reference of several sources, but mainly through summary rather than analysis and comparison. Limited ability to use data and results to draw appropriate conclusions. Apply limited or barely effective organizational and presentational skills.
Fail Demonstrate evidence of little or no grasp of the knowledge and understanding of the subject. Evidence of little or lack of analytical and critical abilities, logical and coherent thinking. Limited use of secondary sources and no critical comparison of them. Misuse of data and results and/or unable to draw appropriate conclusions. Organization and presentational skills are minimally effective or ineffective.
Communication-intensive Course N
Course Type Project-based course
Course Teaching
& Learning Activities
Activities Details No. of Hours
Reading / Self study 120.0
Assessment Methods
and Weighting
Methods Details Weighting in final
course grade (%)		 Assessment Methods
to CLO Mapping
Dissertation written report 60.0 1,2,3
Oral presentation oral presentation & in-class discussion 40.0 1,2,4
Required/recommended reading
and online materials
Course Website http://moodle.hku.hk
Additional Course Information