Bachelor of Computer Science (Hons.) Artificial Intelligence

(R3/481/6/0786) 08/28 (A4187)

As computer systems increase their complexity and sophistication, the demand for intelligent advanced applications also increases in proportion. It is now a common practice and expectation to incorporate intelligent capabilities in the design of any computer application, from web-based intelligent search engines to stand-alone intelligent applications.

The objective of this course is to equip students with the necessary knowledge and skills required to be successful in building the much-needed intelligent computer systems. Based on the solid foundations of Computer Science and Information Technology, the three-year degree programme covers the traditional grounds of artificial intelligence, such as fundamental in artificial intelligence, programming language concept, and computational intelligence. It then extends to advanced and deeper understanding of AI techniques in application, such as Computer Vision, Natural Language Processing, Data analytics, etc.

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• Entry Requirements
  • i. Pass in Foundation or Matriculation studies from a recognised institution with a minimum CGPA of 2.00; OR
    ii. A pass in STPM with a minimum of Grade C (CGPA 2.00) in any TWO (2) subjects or any equivalent qualification; OR
    iii. A pass in STAM with a minimum grade of Jayyid in any TWO (2) subjects;AND a credit in:
    a. Additional Mathematics at SPM Level or its equivalent; OR
    b. Mathematics and any one of the Science, Technology or Engineering subjects at SPM Level or its equivalent*;OR

    iv. Pass STPM in Science Stream or its equivalent with a minimum of Grade C (GP 2.00) inclusive of Mathematics and one Science / ICT subject; OR
    v. Pass A-Level with a minimum of Grade D in Mathematics and one Science / ICT subject; OR
    vi. Pass UEC with a minimum of Grade B in at least five (5) subjects inclusive of Mathematics, English and one Science / ICT subject; OR
    vii. Diploma in Computing (Level 4, MQF) or its equivalent with a minimum CGPA of 2.50. Candidates with a CGPA below 2.50 but more than 2.00 may be admitted subject to a thorough internal evaluation process; OR
    viii. Any Diploma in Science and Technology (Level 4, MQF) with a minimum CGPA of 2.75. Candidates with a CGPA below 2.75 but more than 2.00 may be admitted subject to a thorough internal evaluation process; OR
    ix. Pass DKM /DLKM/DVM in Computing fields with a minimum CGPA of 2.50 subjected to HEP Senate / Academic Board’s approval. Candidates with CGPA below 2.50 but more than 2.00 must have at least two (2) years of work experience in the related field or may be admitted subject to a thorough internal evaluation process**;

    Note:

    * Candidates for category (b) need to take a reinforcement Mathematics with appropriate topics in the discipline of Computer Science, Data Science or Software Engineering at the beginning of the study.

    Students are required to pass the reinforcement Mathematics as a prerequisite before being allowed to take related core courses. The candidate can sit for any subjects that did not indicate Mathematics as a pre-requisite.

    Reinforcement Mathematics can contribute to the overall graduating credit.

    Students from Matriculation/Foundation or its equivalent can be exempted from taking the Reinforcement Mathematics, provided that the Mathematics offered at that programme level is equivalent / more than the Additional Mathematics offered at an SPM level.

    ** DKM/DLKM/DVM candidates may be required to undergo Bridging Programme as an additional requirement.

• Programme Structure
  • Core
    • Year 1
      • Computer Architecture and Organisation
        Data Communications and Networking
        Computer Programming
        Database Systems
        Operating Systems
        System Analysis and Design
        Ethics and Professional Conducts
        Discrete Mathematics and Probability
        Elective 1
        Elective 2
        U2
        U3
        U4
        Character Building
        Sustainable Society
    • Year 2
      • Human Computer Interaction
        Software Engineering Fundamentals
        Web Techniques and Application
        Programming Language Concept
        Artificial Intelligence Fundamentals
        Data Structures and Algorithms
        Computer Networks
        Semantic Web Technology
        Machine Learning
        Computer Graphics
        Data Analytics Fundamentals
        Elective 3
        Elective 4
        U1
    • Year 3
      • Parallel Computing
        Algorithm Design and Analysis
        Data Wrangling and Visualization
        Natural Language Processing
        Cloud Computing
        Expert Systems
        Computational Intelligence
        Computer Vision
        Industrial Training
        Project I
        Project II
  • Elective Subjects (Choose any 4 subjects)
    • Fundamentals of Digital Competence for Programmers
      Technopreneur Venture
      Technology Transfer
      Organisational Behaviour
      Open Electives (Non-computing course from other faculties)
  • University Subjects
    • U1 – Falsafah dan Isu Semasa (Philosophy and Current Issues)
      U1:
      Local:
      Penghayatan Etika dan Peradaban (Appreciation of Ethics and Civilizations)International:
      Bahasa Melayu Komunikasi 2U2:
      Local:
      Students without credit in BM at SPM Level
      i.Bahasa Kebangsaan A. If the student has taken this course before, he/she must take any other courses in the U2 category**
      Students who obtained credit in BM at SPM Level
      Any other courses in the U2 category***

      International:
      Any other courses in the U2 category***

      *** Should the student choose to take foreign language, he/she must choose one which he/she has no formal education in.

      U3 – Integrity and Leadership

      U4 – Choose one U4 from the list offered

• Career Prospects
  • Computer Scientist, Knowledge Engineer, Software Engineer, Systems Analyst, and Programmer.