Enquiry for Science Major/Minor/Programme Requirements

Programme Title Bachelor of Arts and Sciences in Applied Artificial Intelligence
Offered to students admitted to Year 1 in 2023
Objectives:

The aim of this curriculum that spans across Architecture, Engineering, Science and Social Sciences is to equip students with theoretical foundations of artificial intelligence, as well as the necessary problem-solving (both qualitative and quantitative) and analytical skills, and nurture them to transfer interdisciplinary scientific knowledge into a wide range of integrated applications and technological innovations, generating in the process valuable practical experiences. Students will learn to develop the intellectual capacity essential for meeting new challenges and resolving new problems in the future.
Learning Outcomes:
By the end of this programme, students should be able to:
PLO 1 :

apprehend the concepts of artificial intelligence and its underlying theory in relation to a broad range of related disciplinary areas (by means of coursework and tutorial classes and/or research-based project in the curriculum)
PLO 2 :

be proficient with artificial intelligence techniques, and offer effective recommendations for innovative initiatives and solutions (by means of coursework and tutorial classes and/or research-based project in the curriculum)
PLO 3 :

acquire the necessary critical thinking, creative problem solving and communication skills for effective work and collaboration (by means of coursework and tutorial classes and/or research-based project in the curriculum)
PLO 4 :

communicate to people effectively and efficiently with professionalism and accuracy (by means of coursework and tutorial classes and/or research-based project in the curriculum)
PLO 5 :

gain insights into current advances and comprehensive knowledge of artificial intelligence to solve real-life problems (by means of coursework and tutorial classes and/or research-based project in the curriculum)
Impermissible Combination:

Major in Decision Analytics
This Major will not be offered to non-BASc(AppliedAI) students as a second major.
Required courses of the Major in Applied Artificial Intelligence (96 credits)
1. Introductory Level Disciplinary Core Courses (48 credits)
APAI1001 Artificial intelligence: foundation, philosophy and ethics (6)
COMP1117 Computer programming (6)
COMP2119 Introduction to data structures and algorithms (6)
COMP2120 Computer organization (6)
MATH1013 University mathematics II (6)
MATH2014 Multivariable calculus and linear algebra (6)
STAT2601 Probability and statistics I (6)
STAT2602 Probability and statistics II (6)
2. Advanced Level Disciplinary Core Courses (18 credits)
COMP3340 Applied deep learning (6)
MATH3904 Introduction to optimization (6)
STAT3612 Statistical machine learning (6)
3. Concentration (Disciplinary Electives) (24 credits)
At least 24 credits selected from the following courses:
(For fulfilling the requirement of a concentration, students should choose at least 18 credits, with at least 6 credits of which should be at advanced-level, from the corresponding list)
(a) Concentration: AI Technology (at least 18 credits)
COMP3271 Computer graphics (6)
COMP3356 Robotics (6)
APAI3010 Image processing and computer vision (6)
APAI4011 Natural language processing (6)
APAI4012 High-performance computing: algorithms and applications (6) [ previous title: High-performance computing (6) ]
APAI4013 Applied high-performance computing and parallel programming (6)
APAI4099 Special topics of applied AI (6)
(b) Concentration: AI in Business and Finance (at least 18 credits)
COMP3320 Electronic commerce technology (6)
MATH3901 Operations research I (6)
MATH3906 Financial calculus (6)
STAT3613 Marketing analytics (6)
STAT4601 Time-series analysis (6)
APAI4099 Special topics of applied AI (6)
(c) Concentration: AI in Medicine (at least 18 credits)
STAT3655 Survival analysis (6)
STAT4610 Bayesian learning (6)
APAI3021 Modern biostatistics (6)
APAI4022 Omics data analysis (6)
APAI4023 Medical image analysis (6)
APAI4099 Special topics of applied AI (6)
(d) Concentration: AI in Smart City (at least 18 credits)
URBS1003 Theories and Global Trends in Urban Development (6)
URBS1005 Urban Problems, Interventions and Design Thinking (6)
GEOG2090 Introduction to geographic information systems (6)
GEOG2147 Building smart cities with GIS (6)
GEOG2156 Introduction to remote sensing (6) [ previous title: Understanding global environmental changes from images (6) ]
GEOG3202 GIS in environmental studies (6)
GEOG3420 Transport and society (6)
GEOG3430 Geospatial data for environmental change (6)
APAI4099 Special topics of applied AI (6)
(e) Concentration: AI in Neurocognitive Science (at least 18 credits)
PSYC1001 Introduction to psychology (6)
PSYC2007 Cognitive psychology (6)
PSYC2051 Perception (6)
PSYC2066 Foundations of cognitive science (6)
PSYC2067 Seminars in cognitive science (6)
APAI4099 Special topics of applied AI (6)
List of Other Elective Courses:
COMP3250 Design and analysis of algorithms (6)
COMP3251 Algorithm design (6)
COMP3252 Algorithm design and analysis (6)
COMP3278 Introduction to database management systems (6)
MATH3601 Numerical analysis (6)
MATH3943 Network models in operations research (6)
MATH3911 Game theory and strategy (6)
MATH3600 Discrete mathematics (6)
STAT3600 Linear statistical analysis (6)
STAT3622 Data visualization (6)
STAT4602 Multivariate data analysis (6)
4. Capstone Requirement (6 credits)
At least 6 credits selected from the following courses:
(If students take the 12-credit 'Applied AI project', they do not need to take a 6-credit elective from the 'List of Other Elective' Courses above. On the other hand, students who do not take the 12-credit 'Applied AI project' are allowed to take a course in one of the Concentrations as an elective.)
APAI3799 Directed studies in Applied AI (6)
APAI4766 Applied AI internship (6)
APAI4798 Applied AI project (12)
 
Notes:

1. As one of the graduation requirements, students must fulfill at least one of the five concentrations by completing at least 18 credits of courses prescribed specially for each corresponding concentration. Students may declare concentration(s) in their senior years of study (e.g. year 3 or 4), and are recommended to pursue (a) AI Technology, and if applicable, supplemented with a second concentration from (b) to (e). Upon graduation, a certification letter confirming the completion of the chosen concentration(s) will be provided for students.

2. Students are expected to be in full-time status for eight academic semesters (in addition to their 6-month or longer full-time internships) in order to fulfill the degree requirements.

3. Students may optionally take Majors or Minors outside the BASc(Applied AI) programme, provided that they fully satisfy the requirements.

4. Students are reminded to take 3 BASc core courses: BASC9001, DESN9002 and STAT1016 to fulfill the BASc core course requirement.

5. It is recommended that students opt for COMP3251 Algorithm design instead of COMP3252 Algorithm design and analysis when selecting elective courses between COMP3251 and COMP3252.
Remarks:

Important! Ultimate responsibility rests with students to ensure that the required pre-requisites and co-requisite of selected courses are fulfilled. Students must take and pass all required courses in the programme in order to satisfy the degree graduation requirements.



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