Artificial Intelligence and Data Analytics
Compulsory Subjects
|
Subject code |
Subject title |
Credits |
|
Mathematics I for AIDA (3 credits) |
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Basic Mathematics I – Calculus and Probability & Statistics (for FENG students only) |
3 |
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Mathematics for Construction and Environment (for FCE students only) |
3 |
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Introduction to Statistics for Business (for students from other Faculties/ Schools) |
3 |
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Basic Statistics (for AP students only) |
3 |
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Introduction to Statistics (for AMA students only) (Pre-requisite: AMA1006 / AMA2691 / DSAI1103) |
3 |
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Mathematics II for AIDA (3 credits) |
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Linear Algebra (for students from other Faculties/ Schools) (Exclusion: AMA1007, AMA10071 & AMA1120) |
3 |
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Mathematics I (for AP, FENG and LSGI students only) (Pre-requisite: AMA1007 / AMA1120 / AMA1130 / AMA1131 / AMA1140 / AMA1500 / AMA1702 / AMA1707) (Exclusion: AMA2007, AMA2707, AMA2131, AMA2308, AMA2380, AMA2511, AMA2882 & AMA290) |
3 |
|
|
Mathematics for Engineers (for CEE students only) (Pre-requisite: AMA1130 / AMA1131 / AMA1140) (Exclusion: AMA2007, AMA2707, AMA2111, AMA2308 & AMA290) |
3 |
|
|
AMA2511 and
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Applied Mathematics I (for BME students only) (Pre-requisite: AMA1120) (Exclusion: AMA2007, AMA2707 & AMA2111) Applied Mathematics II (for BME students only) (Pre-requisite: AMA2511) (Exclusion: AMA2007, AMA2707 & AMA2111) |
2
2 |
|
Programming I: Programming Fundamentals (3 credits) |
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Programming Fundamentals (for AMA students only) (Exclusion: COMP1012 / ENG2002) |
3 |
|
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Programming Fundamentals and Applications (for students from other Faculties/ Schools than FENG/FB) (Exclusion: COMP1011 / ENG2002) |
3 |
|
|
Computer Programming (for FENG students only) |
3 |
|
|
Introduction to Coding for Business with Python (for FB students only) |
3 |
|
|
Programming II: Data Structures and Algorithms (3 credits) |
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Data Structures and Algorithms (Pre-requisite: COMP1011 / COMP1012 / ENG2002 / LGT3109 & AMA1110 / AMA1501 / AMA2634 & AMA1751 / AMA2111 / AMA2131 / AMA2512) |
3 |
|
|
Fundamentals of Data Analytics (3 credits) |
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|
Quantitative Skills and Experimental Design for Scientists (for FS students only) |
3 |
|
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Data Analytics and Visualization (for AMA students only) (Pre-requisite: AMA2222 / COMP1011 / COMP1012) |
3 |
|
|
Data Analytics Fundamentals |
3 |
|
|
Introduction to Data Analytics |
3 |
|
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Foundations of Data Science |
3 |
|
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Business Analytics (for FB students only) (Exclusion: LGT/MM2425 & LGT/MM3425) |
3 |
|
|
Machine Learning (3 credits) |
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Statistical Machine Learning (Pre-requisite: AMA2222 / AMA2222A / COMP1011 / COMP1012 & AMA2602 / AMA3602 / AMA3631 & AMA3001/ AMA3701 / AMA3723 / AMA3724) |
3 |
|
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Machine Learning (for students from other Faculties/ Schools than EIE) |
3 |
|
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Fundamentals of Machine Intelligence (for EIE students only) |
3 |
|
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Artificial Intelligence (3 credits) |
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Artificial Intelligence (Pre-requisite: COMP2011 / COMP2013 / DSAI2201) |
3 |
|
|
DSR-AIDA Bridging Subject(s) (3-6 credits) |
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Business Analytics in Accounting and Finance (Pre-requisite: AF2108 & AF2110 & AMA1501 & LGT2425 / MM2425 / LGT3425 / MM3425) |
3 |
|
|
High Dimensional Data Analysis (Pre-requisite: AMA1751 / AMA3001 / AMA3701 / AMA3723 / AMA3724 & AMA2602 / AMA3602 / AMA3631 |
3 |
|
|
Data Analysis Techniques for Scientists (Pre-requisite: AP20005 / COMP1012) |
3 |
|
|
AIDA for Health Care and Smart Ageing (Pre-requisite: COMP1012 / ENG2002) |
3 |
|
|
Information Technology and Building Information Modelling for Construction Management |
3 |
|
|
BSE3610 |
Computational Methods in Building Sciences and Engineering |
3 |
|
BSE4510 |
Building Automation and Control (Pre-requisite: BSE2122 / BSE2124 & BSE3225 / BSE3227) |
3 |
|
Programming and Data Analysis for Language Studies |
3 |
|
|
Machine Learning Practice in Smart Mobility (Pre-requisite: AMA2007 / AMA2111 / AMA2131 / AMA2308 / AMA2707 / AMA290 & AMA2222 / AMA2222A / COMP1011 / COMP1012 / ENG2002) |
3 |
|
|
Intelligent Systems Applications in Electrical Engineering |
3 |
|
|
Artificial Intelligence of Things (Pre-requisite: EIE2112 & EIE2113) |
3 |
|
|
Quantitative Literacy for Language Professionals |
3 |
|
|
Language and Social Data Analytics |
3 |
|
|
Smart Service Design in Tourism and Hospitality (Pre-requisite: HTM2305) |
3 |
|
|
Artificial Intelligence in Tourism and Hospitality |
3 |
|
|
Logistics Automation |
3 |
|
|
Fashion Design |
3 |
|
|
Fashion Digital Marketing |
3 |
|
|
Introduction to Enterprise Resource Planning System |
3 |
|
|
Spatial Data Analytics and Mining (Pre-requisite: AMA2111 & COMP1011 / COMP1012) |
3 |
|
|
Numerical Methods for Engineers (Pre-requisite: AMA2111) |
3 |
|
|
Artificial Intelligence and Big Data for Business (Pre-requisite: MM3425) |
3 |
|
|
SD3781 |
Interface Design |
3 |
|
SD4788 |
User Experience Design |
3 |
|
Integrated Capstone Project (6 credits) |
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|
AF/LGT/ |
Integrated Capstone Project (Exclusion: Any other equivalent capstone project) |
6 |
|
Integrated Capstone Project (Exclusion: AMA4951, AMA4952 or any other equivalent capstone project) |
6 |
|
|
Integrated Capstone Project |
6 |
|
|
BSE4728 |
Integrated Capstone Project (Pre-requisite: BSE3716 & any 4 of the below subjects: BSE3124 / BSE3125 / BSE3227 / BSE3228 / BSE3313 / BSE3322) (Exclusion: Any other equivalent capstone project) |
6 |
|
Integrated Capstone Project (Pre-requisite: BRE366) (Exclusion: Any other equivalent capstone project) |
6 |
|
|
Integrated Capstone Project (Pre-requisite/co-requisite: BME31147 & BME34145) (Exclusion: Any other equivalent capstone project) |
6 |
|
|
Integrated Capstone Project (Exclusion: Any other equivalent capstone project) |
6 |
|
|
Integrated Capstone Project (Pre-requisite: All CSE subjects in Level 3 and all core subjects in Level 1-3 of Secondary Major in AIDA) (Exclusion: Any other equivalent capstone project) |
6 |
|
|
Integrated Capstone Project (Pre-requisite: Students should complete most of the subjects required of the programme in previous years before taking this subject) (Exclusion: Any other equivalent capstone project) |
6 |
|
|
Integrated Capstone Project |
6 |
|
|
Integrated Capstone Project (Pre-requisite: ENGL3002) (Exclusion: Any other equivalent capstone project) |
6 |
|
|
Integrated Capstone Project (Pre-requisite: HTM3205) (Exclusion: Any other equivalent capstone project) |
6 |
|
|
Integrated Capstone Project (Pre-requisite: ISE3018) (Exclusion: ISE4008 Individual Project and ISE445 Capstone Project) |
6 |
|
|
Integrated Capstone Project (Exclusion: SFT415CP, SFT416CP & any other equivalent capstone project) |
6 |
|
|
Integrated Capstone Project (Pre-requisite: COMP1011 & LSGI3803) (Exclusion: Any other equivalent capstone project) |
6 |
|
|
Integrated Capstone Project (Pre-requisite: ME31001, ME31002, ME32001, ME33001, ME34002, ME34004, ENG2002 & ME46002) (Exclusion: ME49001) |
6 |
|
|
SD4470 |
Integrated Capstone Project - Production Design (Pre-requisite: SD4466) (Exclusion: Any other equivalent capstone project) |
6 |
|
SD4790 |
Integrated Capstone Project - Interaction Design (Pre-requisite: SD4791) (Exclusion: Any other equivalent capstone project) |
6 |
Elective Subjects
|
Subject code |
Subject title |
Credits |
|
Data Science and Data-driven Optimisation in Airline and Airport Operations |
3 |
|
|
Artificial Intelligence in Unmanned Autonomous Systems |
3 |
|
|
Computational Methods (Pre-requisite: AMA2007 / AMA2707 / AMA2111 / AMA2131 / AMA2380 / AMA2512 / AMA2882 / AMA290 / AMA3001 / AMA3701 / AMA1120 + AMA2380 / AMA2702 + AMA3724) (Exclusion: AMA301) |
3 |
|
|
Applied Linear Models for Finance Analytics (Pre-requisite: AMA1501 / AMA1502 / AMA1602 / AMA1611 / AMA2634 / DSAI1102 & AMA1007 / AMA1120 / AMA1751 / AMA2007 / AMA2707 / AMA2111) (Exclusion: AMA2631 / AMA2631A / AMA2602) |
3 |
|
|
Statistical Inference (Pre-requisite: AMA1007 / AMA1120 / AMA1130 / AMA1131 / AMA1500 / AMA1611 / AMA1702 / DSAI1102 & AMA1501 / AMA1502 / AMA1602 / AMA2104 / AMA2691 / AMA2703 / DSAI1103) (Exclusion: AMA364) |
3 |
|
|
Operations Research Methods (Pre-requisite: AMA1007 / AMA1102 / AMA1751 / AMA2007 / AMA2707 / AMA2111 / AMA2131 / AMA2308 / AMA2512 / AMA2882 / AMA290) (Exclusion: AMA382) |
3 |
|
|
High Dimensional Data Analysis (Pre-requisite: AMA2602 / AMA3602 / AMA3631 & AMA1751 / AMA3001 / AMA3701 / AMA3723 / AMA3724) (Exclusion: AMA4002) |
3 |
|
|
Forecasting and Applied Time Series Analysis (Pre-requisite: AMA2602 / AMA3602 / AMA364 / AMA3640 / AMA4001 / AMA4601) (Exclusion: AMA465) |
3 |
|
|
Modelling of Epidemic and Pandemic (Pre-requisite: AMA2691 / DSAI1103 & AMA2702) |
3 |
|
|
Simulation (Pre-requisite: AMA1501 / AMA1502 / AMA1602 / AMA2601 / AMA2634 / AMA3631) (Exclusion: AMA488) |
3 |
|
|
Decision Analysis (Pre-requisite: AMA1501 / AMA1502 / AMA1602 / AMA2104 / AMA2691 / AMA2703 / DSAI1103) (Exclusion: AMA484) |
3 |
|
|
Optimization Methods (Pre-requisite: AMA2007 / AMA2707 / AMA2111 / AMA2131 / AMA2308 / AMA2512 / AMA2882 / AMA290 / AMA3001 / AMA3701 / AMA3724 / AMA1120 + AMA2380) (Exclusion: AMA485) |
3 |
|
|
Machine Learning in Physics (Pre-requisite: AP20005 / COMP1012) |
3 |
|
|
Energy Conversion and Storage with Machine Learning (Pre-requisite: AP20002) (Exclusion: AP40011) |
3 |
|
|
AIDA for Health Care and Smart Ageing (Pre-requisite: COMP1012 / ENG2002) |
3 |
|
|
AIDA for Biosignal Processing and Medical Imaging (Pre-requisite: BME31116) |
3 |
|
|
AI and Data Analytics for Smart Construction |
3 |
|
|
Building Performance Diagnosis and Management (Pre-requisite: BSE3712) |
3 |
|
|
Building Informatics (Pre-requisite: BSE1610 & BSE2610 & BSE3227) |
3 |
|
|
Python for Language Analytics (Pre-requisite: CBS3947) |
3 |
|
|
Advanced Topics in Quantitative Language Studies (Pre-requisite: CBS3947) |
3 |
|
|
Social Media and Social Network Analysis |
3 |
|
|
Workshop on Language Analytics (Pre-requisite: CBS4958) |
3 |
|
|
Machine Aided Translation |
3 |
|
|
Statistics for Language Studies |
3 |
|
|
Fundamentals of Computational Linguistics (Pre-requisite: CBS3947) |
3 |
|
|
Corpus and Language Technology for Language Studies (Pre-requisite: CBS1902) |
3 |
|
|
Big Data Analytics (Pre-requisite: AMA1104 / AMA1110 / AMA2691 / COMP1004 & COMP1011 / COMP1012 / EIE1003 / ENG2002 & COMP2011 / COMP2013/ DSAI2201 / EIE3320 & COMP2411 / EIE3312) (Exclusion: COMP4434) |
3 |
|
|
Artificial Intelligence of Things (Pre-requisite: COMP1011 / COMP1012 / ENG2002) |
3 |
|
|
Service and Cloud Computing (Pre-requisite: COMP2421 & COMP2432) |
3 |
|
|
Machine Learning Practice in Smart Mobility (Pre-requisite: AMA2007 / AMA2111 / AMA2131 / AMA2308 / AMA2707 / AMA290 & AMA2222 / AMA2222A / COMP1011 / COMP1012 / ENG2002) |
3 |
|
|
Transportation Data Analytics (Pre-requisite: EE2029B & CSE30390) |
3 |
|
|
Intelligent Systems Applications in Electrical Engineering |
3 |
|
|
Machine Learning in Cyber-security |
3 |
|
|
Deep Learning and Deep Neural Networks (Pre-requisite: AMA2104 / EIE3124) |
3 |
|
|
Quantitative Literacy for Language Professionals |
3 |
|
|
Language and Social Data Analytics |
3 |
|
|
HTI3990 |
Big Data Analytics for Bioinformatics and Genomic Medicine |
3 |
|
HTI4990 |
AIDA in Clinical Diagnosis and Radiotherapy |
3 |
|
Big Data Analytics in Hospitality, Tourism and Events (Pre-requisite: HTM3205) |
3 |
|
|
Social Media and Digital Marketing Analytics (Pre-requisite: HTM2325) |
3 |
|
|
Applied Quality and Reliability with AIDA |
3 |
|
|
Applied AIDA in Operations Research and Management |
3 |
|
|
Smart Textiles for Wearable Applications (Exclusion: ITC4202T) |
3 |
|
|
Fashion Market Intelligence |
3 |
|
|
AI in Fashion Business |
3 |
|
|
Building Information Modelling & 3D GIS |
3 |
|
|
GeoAI |
3 |
|
|
Spatial Data Science |
3 |
|
|
Spatial Data Analytics and Mining (Pre-requisite: AMA1751 & COMP1011 / COMP1012) |
3 |
|
|
Urban Big Data Analytics |
3 |
|
|
Urban Sensing for Smart City |
3 |
|
|
Perceptual Robotics (Pre-requisite: ME31002) |
3 |
|
|
Artificial Intelligence in Products (Pre-requisite: ME31002 / ME41004) |
3 |
|
|
Fundamentals of Robotics (Pre-requisite: ME31002 / ME41004) |
3 |
|
|
SD4772 |
Interactive Media and Marketing |
3 |
Remarks: Departments reserve the right to revise and update the syllabi whenever appropriate and deemed necessary. Please refer to the pre-requisite/co-requisite/exclusion from the latest subject description forms provided by the subject offering department.
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