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School of Electrical Engineering and Artificial Intelligence
Artificial Intelligence

School of Electrical Engineering and Artificial Intelligence

AIT-Compress

Bachelor of Engineering IN ARTIFICIAL INTELLIGENCE (hons)

N/481/6/0826 ● MQA/PA13687

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Medium of Instruction: English

Intakes: February, April, September

Duration: 4 years

Programme Highlight

  • AI techniques and trends bring about many highly paid IT positions, ensuring graduates a promising career
  • Excellent educational resources from one of the most highly-respected and longest-established institutions in China for AI study
  • A strong curriculum emphasizing both theoretical teaching and practical training, not only equipping graduates with disciplinary knowledge, but also training their skills in analytical thinking, problem solving and management

    • Overview

    Artificial intelligence (AI) is an interdisciplinary field, coveringdisciplines like programming of intelligence, functionality of brain and industrial intelligence application. Currently, all the giant Internet companies are competing for the advantages of artificial intelligence applications.There exists a huge demand for intelligence system programmers and designers. The involved domains include almost every aspect of modern life.


    It is well-known that China is one of the leading countries in artificial intelligence, no matter in the field of research or industrial application. Xiamen University has a very strong faculty in intelligence science with more than 23 academic staffs. It is ranked among the top ten in China and offers a variety of courses in the theories and industrial applications of artificial intelligence. The faculty has produced a number of world-class researchers such as Ji Rongrong (纪荣嵘), who conducts many breakthroughs in computer vision.


    With the balance between theories and practices, our programme at XMUM equips graduates with the necessary knowledge and skills to manage the development and research of computer and intelligence systems through outstanding teaching and research activities in an exciting environment. Besides, we are dedicated to training our students’ skills in analytical thinking, problem solving and management, which enables them to adapt to the ever-changing world. Those who would like to pursue further study in this area can also apply for post-graduate programmes at XMU.

    Entry Requirements

    STPM (Science Stream)
    A pass in STPM with at least a Grade C (GP2.0) in Mathematics AND 1 science/ICT subjec
    A-Level
    A pass in A-Level with at least a Grade D in any 2 subjects
    UEC
    A pass in UEC with at least a Grade B in 5 subjects including Advanced Mathematics
    Foundation/ Matriculation
    A pass in Foundation/Matriculation with at least CGPA 2.0 out of 4.0
    Diploma
    A pass in Diploma in Computing fields (Computer Science / Software Engineering / Information Technology / Information System / Data Science) with at least a CGPA 2.5* out of 4.0 OR
    A pass in any Diploma in Science and Technology or the equivalent with at least a CGPA of 2.75** out of 4.0

    AND

    (i) Additional Mathematics*** - a credit in SPM or the equivalent; OR
    (ii) Mathematics and any 1 Science / Technology / Engineering subject - a credit in SPM or the equivalent AND pass a Mathematics placement test organised by XMUM before joining the programme
    Notes
    * Candidates with a CGPA of less than 2.5 but more than 2.0 may be accepted subject to a stringent internal evaluation process.
    ** Candidates with a CGPA of less than 2.75 but more than 2.5 may be accepted subject to a stringent internal evaluation process.
    *** The requirement for the Additional Mathematics at SPM level can be exempted if the Foundation / Matriculation or its equivalent offers a Mathematics course that is of a similar or higher level compared to the Additional Mathematics at SPM level.

    Programme AIMS

    The programme will help students to become professionals with good skills to program and design intelligence system in the job market. Besides this, the programme also promote the competitive power of Malaysia in artificial intelligence, which could boost the technology and economics of this nation among China, ASEAN counties and even the whole international community.

    Programme Education Objectives

    PEO1
    Process and comprehend the knowledge, principles and skills in artificial intelligence, including the intelligence theories, practical models and system design methodologies
    PEO2
    Possess analytical and critical thinking skills to solve problems by applying knowledge, principles, skills in artificial intelligence
    PEO3
    Able to apply fundamental mathematical, scientific, engineering, legal and theoretical computing knowledge in analyzing, modelling, designing, developing and evaluating computing solutions and artificial intelligence models
    PEO4
    Understand the interplay between theory and practice of artificial intelligence and the essential links between them, then develop the consciousness and ability of lifelong learning and the basic leadership ability of management

    Career Prospect

  • Artificial Intelligence Engineer / Scientist / Analyst / Specialist
  • Machine Learning Engineer / Scientist / Analyst / Specialist
  • Data Engineer / Scientist / Analyst / Specialist
  • Big Data Engineer / Scientist / Analyst / Specialist
  • Applications Architect / Developer
  • Analytics Developer / Manager
  • Business Intelligence Developer / Analyst
  • Software Engineer / Architect / Developer
  • Intelligence System Engineer / Architect / Analyst
  • AI Research Scientist
  • Computer Scientist

    • Programme OUTCOME

    PLO1
    Demonstrate basic knowledge of theories, principles and applications of artificial intelligence, including analytical skills and practical abilities in a global context
    PLO2
    Formulate real problems into artificial intelligence models and propose creative solutions to these issues
    PLO3
    Demonstrate logic and rigorous ability for real intelligence problem solving
    PLO4
    Combine teamwork, communication and interpersonal skills, with socially- and culturally-sensitive skill sets to engage effectively with peers, clients, superiors and society
    PLO5
    Practice oral and written capabilities to communicate/convey information/ideas/reports cogently and professionally
    PLO6
    Develop and apply relevant software tools and media technology in solving real world problems
    PLO7
    Formulate mathematical models, graphical/visual methods, and numerical algorithms to devise improved solutions or application
    PLO8
    Integrate social, cultural, environmental and global responsibilities and leadership as well as the need for sustainable development
    PLO9
    Identify the need for continual professional development, and to engage in independent and lifelong learning
    PLO10
    Demonstrate managerial qualities with appropriate knowledge on management, business practices and entrepreneurship
    PLO11
    Demonstrate an awareness to uphold values, attitudes, and ideals to remain professional, ethical and humanistic, and at all times, adhere to ethical standards and code of practice relevant to industry

    MAJOR COURSES OFFERED

    Year 1

  • Calculus
  • Linear Algebra
  • Programming Language C
  • Python and Tensorflow Programming
  • Probability and Statistics
  • Principles of Artificial Intelligence
  • Introduction to Intelligence Application

    • Year 2

  • Discrete Mathematics
  • Data Structures
  • Applied Machine Learning
  • Principles of Computer Composition
  • Matrix Analysis and Application
  • Principles of Operating Systems
  • Methods and Applications of Deep Learning
  • Design and Analysis of Algorithms

    • Major Elective 1 (Choose 1)
  • Natural Language Processing
  • Computer Vision and Robotics

    • Major Elective 2 (Choose 1)
  • Object-Oriented Programming C++
  • Object-Oriented Programming Java

    • Year 3

  • Computer Networks and Communication
  • Advanced Machine Learning
  • Statistical Learning
  • Thesis I

    • Major Elective 3 (Choose 2)
  • Computer Architecture
  • Compiler Principles
  • Numerical Methods

    • Major Elective 4 (Choose 1)
  • Advanced Issues of Artificial Intelligence (Natural Language Processing)
  • Advanced Issues of Artificial Intelligence (Computer Vision)

    • Major Elective 5 (Choose 2)
  • Robot Kinematics and Dynamics
  • Deep Reinforcement Learning and Control
  • Computational Cognitive Science

    • Major Elective 6 (Choose 1)
  • Information Security
  • Technology and Application of Internet of Things
  • Big Data Analytics

    • Year 4

  • Software Architecture and Development Environment
  • Thesis II
  • Industrial Training

    • Major Elective 7 (Choose 1)
  • Computer Graphics
  • Software Engineering
  • Principles of Database Systems

    • Major Elective 8 (Choose 1)
  • Strategic Reasoning for AI
  • Planning Techniques for Robotics
  • Advanced Data Analysis