Offered to students admitted to Year 1 in ALL
Major/Minor ALL
Course Type
Offer in 2024 - 2025 Y N
Course Code APAI4766
Date2024/10/11 19:41
Enquiry for Course Details
APAI4766 Applied AI internship (6 credits) Academic Year 2024
Offering Department Statistics & Actuarial Science Quota
Course Co-ordinator Dr E A L Li, Statistics & Actuarial Science < ericli11@hku.hk >
Teachers Involved (Various teachers as the assessors of oral presentations and written reports,Statistics & Actuarial Science, Mathematics, Computer Science)
Course Objectives This course is offered to BASc(AppliedAI) students who take on a minimum of 160 hours of project-driven internship work related to his/her major disciplines. It provides students with first-hand experience in the applications of academic knowledge in a real-life work environment.
Course Contents & Topics Upon completion of the internship, each student is required to submit a written report and to give a presentation on his/her internship experience. The report should emphasize important working/educational experiences encountered by the student during his/her internship. In many situations, this would mean a report of the project(s) that the student has been involved in during his/her internship. The course will also include a conflict resolution role-play and email writing in the workplace.
Course Learning Outcomes
On successful completion of this course, students should be able to:

CLO 1 gain first-hand work experience in an industry related to artificial intelligence during internship
CLO 2 describe basic artificial intelligence practices learned during the internship in a written report
CLO 3 explain how specific quantitative skills developed in basic artificial intelligence courses learned in University can be applied in practice in a written report
CLO 4 successfully resolve conflicts in the workplace through oral negotiation strategies
CLO 5 effectively communicate in the workplace through email
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 including any two of the following courses: COMP3340, MATH3904, STAT3612.
This internship 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 A18UC262 BASc(AppliedAI) (4)
2024 Bachelor of Arts and Sciences in Applied Artificial Intelligence ( Disciplinary Elective )
2023 Bachelor of Arts and Sciences in Applied Artificial Intelligence ( Disciplinary Elective )
2022 Bachelor of Arts and Sciences in Applied Artificial Intelligence ( Disciplinary Elective )
2021 Bachelor of Arts and Sciences in Applied Artificial Intelligence ( Disciplinary Elective )
2020 Bachelor of Arts and Sciences in Applied Artificial Intelligence ( Disciplinary Elective )
Course to PLO Mapping 2024 Bachelor of Arts and Sciences in Applied Artificial Intelligence < PLO 2,3,4,5 >
2023 Bachelor of Arts and Sciences in Applied Artificial Intelligence < PLO 2,3,4,5 >
2022 Bachelor of Arts and Sciences in Applied Artificial Intelligence < PLO 2,3,4,5 >
2021 Bachelor of Arts and Sciences in Applied Artificial Intelligence < PLO 2,3,4,5 >
2020 Bachelor of Arts and Sciences in Applied Artificial Intelligence < PLO 2,3,4,5 >
Offer in 2024 - 2025 Y        1st sem    2nd sem    Summer    Examination No Exam     
Offer in 2025 - 2026 Y
Course Grade Distinction/Pass/Fail
Grade Descriptors
Distinction Demonstrates excellent ability in applying knowledge to solve problems in the workplace. Demonstrates excellent performance in handling and carrying out the work required in the job or assigned by supervisor(s). Establishes highly effective collaboration and communication with supervisor(s), colleagues, and clients in the job. Successfully fulfills the requirements set out in the Course Description regarding working hours, with excellent performance in written and oral report, and excellent evaluation by supervisor(s), etc.
Pass Able to apply knowledge to solve problems in the workplace. Successfully handles and carries out the work required in the job or assigned by supervisor(s). Establishes effective collaboration and communication with supervisor(s), colleagues, and clients in the job. Successfully fulfills the requirements set out in the Course Description regarding working hours, written and oral report, and evaluation by supervisor(s), etc. Students demonstrating excellent performance in the above would be awarded a grade of "Distinction".
Fail Very limited or no ability to solve problems in the workplace. Fails to handle or carry out the work required in the job or assigned by supervisor(s). Fails to establish effective collaboration or communication with supervisor(s), other colleagues, or clients in the job. Fails to satisfy the requirements set out in the Course Description regarding working hours, written and oral report, or evaluation by supervisor(s), etc.
Communication-intensive Course Y
Course Type Internship
Course Teaching
& Learning Activities
Activities Details No. of Hours
Internship work it is expected that students are to work at least 160 hours (or equivalent to 4 weeks full-time) 160
Assessment Methods
and Weighting
Methods Details Weighting in final
course grade (%)		 Assessment Methods
to CLO Mapping
Oral presentation oral presentation and workshop on effective communications 70 CLO 1,2,3,4,5
Written report written report 30 CLO 1,2,3
Required/recommended reading
and online materials
Course Website http://moodle.hku.hk
Additional Course Information Upon completion of the internship, each student is required to submit a written report and to give an oral presentation on their internship experience.  Supervisors will assess the students based on their performance during the internship period (in the case of internships outside the university, the internal supervisor will assess the student based on the feedback by the external supervisor).

Satisfactory completion of this course can be counted towards the Capstone requirement.  Details of internship will be recorded on the student's transcript. This course will be assessed on "Pass/Fail" basis. Students who are interested to enroll in this course should contact the Department to obtain the approval.
Enrolment of this course is not conducted via the online course selection system and should be made through the relevant Department/School office after approval has been obtained from the course coordinator.
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