Curso de Licenciatura em Inteligência Artificial
Objectives
The evolving field of artificial intelligence (AI) has driven breakthrough changes across a wide variety of industries such as manufacturing, finance, agriculture, health care, retail, and entertainment. AI has been identified as the key technology for future digital economy in China and around the world and the job market for AI graduates will be enormous. Macao Polytechnic University has a solid foundation in AI teaching and research staff and research centers (Engineering Research Centre of Applied Technology on Machine Translation and Artificial Intelligence, Ministry of Education, Centre in Artificial Intelligence Driven Drug Discovery etc.) and will adopt the existing academic-accredited student support system and the time-tested quality assurance processes of the University. Students are able to explore areas they wish to focus (including Image and video processing; Natural Language and Speech Recognition; Big Data Analysis; AI driven drug discovery). This helps students to enhance their knowledge of modern technologies and recent advancements in artificial intelligence, determine the topic for their research project and area of interest for subsequent professional development including AI system design and development in Internet enterprises, AI-powered industries and government agencies as well as further studies in relevant Master and PhD programmes.
Highlights
- Study plan is streamlined to meet talent demands and accommodate recent advances in the field of artificial intelligence
- Students can select their study direction in AI through a wide selection of elective modules
- Supported by our leading research centers in Machine Translation and AI, and AI Driven Drug Discovery
- Many internship and research opportunities from our close collaborations with the industries and overseas universities
- Opportunities for outstanding students to conduct research at a renowned university in the US and Europe during their studies
Features
Disciplinary Skills
- Ability to apply necessary mathematical techniques to model, analyse and devise solutions to complex problems
- Ability to apply software, hardware and programming skills to design and implement AI related projects
- Ability to conduct advanced analytical and interpretative tasks
Overview
Duration: 4 Years
Credit Requirements: 126 Credits
Medium: English
Mode: Daytime
Career prospects
The development of digital economy and smart manufacturing, smart finance, smart agriculture, health care, smart home, smart city, smart logistics, robotics has a huge demand for talents and experts in AI and currently the graduates supply is far less compared to demands. We believe our graduates will have a wide range of opportunities in Internet companies, industries as well as research institutes and government departments and agencies.
Bachelor degree programme offered in Academic Year 2023/2024 will be officially launched upon publication in the Macao SAR Gazette
Table I
|
Learning Modules |
Types |
Hours* |
Credits |
|
Year 1 |
|
|
|
|
Introduction to Computer Science and its Application |
Compulsory |
135 |
3 |
|
Introduction to Programming |
" |
135 |
3 |
|
Discrete Mathematics |
" |
135 |
3 |
|
Linear Algebra |
" |
135 |
3 |
|
Calculus |
" |
135 |
3 |
|
Computer Organization |
" |
135 |
3 |
|
Advanced Programming |
" |
135 |
3 |
|
Introduction to E-Business |
" |
135 |
3 |
|
English I |
" |
135 |
3 |
|
English II |
" |
135 |
3 |
|
Constitution and Basic Law |
" |
90 |
2 |
|
Chinese History and Culture |
" |
90 |
2 |
|
|
|
|
|
|
Year 2 |
|
|
|
|
Introduction to Artificial Intelligence |
" |
135 |
3 |
|
Data Structures and Algorithms |
" |
135 |
3 |
|
Probability and Statistics |
" |
135 |
3 |
|
Operating Systems |
" |
135 |
3 |
|
Database Design |
" |
135 |
3 |
|
Web Design and Development |
" |
135 |
3 |
|
Software Engineering |
" |
135 |
3 |
|
Introduction to Data Science |
" |
135 |
3 |
|
Ethics and Professional Issues in Computing |
" |
135 |
3 |
|
English III |
" |
135 |
3 |
|
English IV |
" |
135 |
3 |
|
Social Sustainable Development |
" |
90 |
2 |
|
|
|
|
|
|
Year 3 |
|
|
|
|
Machine Learning and Intelligent Data Analysis |
" |
135 |
3 |
|
Advanced Web Development |
" |
135 |
3 |
|
Computer Networks |
" |
135 |
3 |
|
Project Management |
" |
135 |
3 |
|
Science Communications |
" |
135 |
3 |
|
Neural Networks and Deep Learning |
" |
135 |
3 |
|
Natural Language Processing |
" |
135 |
3 |
|
Artificial Intelligence Application Project |
" |
135 |
3 |
|
One Elective in Table II |
" |
135 |
3 |
|
One Elective in Table III |
" |
135 |
3 |
|
|
|
|
|
|
Year 4 |
|
|
|
|
Human Factors and User Interfaces |
" |
135 |
3 |
|
Computer Security |
" |
135 |
3 |
|
Final Year Project |
" |
─ |
12 |
|
One Elective in Table II |
" |
135 |
3 |
|
Two Electives in Table III |
" |
270 |
6 |
|
Total Credits |
126 |
||
Table II
|
Learning Modules |
Types |
Hours* |
Credits |
|
Introduction to Linguistics |
Elective |
135 |
3 |
|
Introduction to Translation Studies |
" |
135 |
3 |
|
Technology on Language Learning and Teaching |
" |
135 |
3 |
|
E-Government |
" |
135 |
3 |
|
Special Topics on Smart Tourism |
" |
135 |
3 |
|
Introduction to Psychology |
" |
135 |
3 |
|
Introduction to Sociology |
" |
135 |
3 |
|
Introduction to Economics and Finance |
" |
135 |
3 |
|
Introduction to Marketing |
" |
135 |
3 |
|
Interpersonal Relations |
" |
135 |
3 |
|
Graphics Design |
" |
135 |
3 |
|
Accounting |
" |
135 |
3 |
|
Special Topics I |
" |
135 |
3 |
|
Special Topics II |
" |
135 |
3 |
Table III
|
Learning Modules |
Types |
Hours* |
Credits |
|
Expert Systems |
選修 |
135 |
3 |
|
Digital Image and Multimedia Processing |
" |
135 |
3 |
|
Computer Vision and Imaging |
" |
135 |
3 |
|
Machine Translation Advanced Topics |
" |
135 |
3 |
|
Speech Recognition Technology and Application |
" |
135 |
3 |
|
Text Corpus Technology and Application |
" |
135 |
3 |
|
Data Mining Technology and Application |
" |
135 |
3 |
|
A.I. Driven Drug Discovery and Development |
" |
135 |
3 |
|
Internship |
" |
4週** |
3 |
|
Mobile Computing and Wireless Networks |
" |
135 |
3 |
|
High-performance and Parallel Computing |
" |
135 |
3 |
|
Domain-specific Languages |
" |
135 |
3 |
|
Theory of Computation |
" |
135 |
3 |
|
Graphics and Virtual Environments |
" |
135 |
3 |
|
Numerical Optimization |
" |
135 |
3 |
|
Introduction to Internet-of-Things |
" |
135 |
3 |
|
Introduction to Big Data |
" |
135 |
3 |
|
E-commerce with Big Data |
" |
135 |
3 |
|
Cloud Computing |
" |
135 |
3 |
|
Advanced Topics in Artificial Intelligence I |
" |
135 |
3 |
|
Advanced Topics in Artificial Intelligence II |
" |
135 |
3 |
* Each credit includes at least 15 lecture hours.
** Students should perform 45 hours of internship as required.