BSc (Hons) in Information Technology with specialism in Intelligent Systems

This programme is specifically designed to provide:

• Familiarity with a broad range of information technologies and how they are used.
• A specialised and focused emphasis on the theory and application of artificial intelligence.
• The ability to critically evaluate and apply techniques such as pattern matching and neural networks to real-world problems.

Admission Requirements:

• 2 Principal Passes at STPM level and with 4 Credit Passes at SPM including Mathematics; or
• 2 Passes with at ‘A’ Levels and with a Credit Pass at ‘O’ Levels / GCSE including Mathematics; or
• The APIIT/APU Foundation or equivalent with CGPA of 2.0 and Credit in Mathematics at SPM/O-Level; or
• 5 Grade B's in UEC including Mathematics; or
• Canadian Pre-University (CPU) with minimum average of 50%; or
• Australian Matriculation (AUSMAT) with minimum average of 60%; or
• South Australian Matriculation Certificate (SAM) with minimum of 60%; or
• International Baccalaureate with minimum 24 marks;
• Victorian Certificate of Education with minimum average of 50%;
• Ontario Secondary School Diploma with minimum average of 50%; or
• A qualification that APU accepts as equivalent to the above.

Course Structure:

LEVEL 1

The IT degree and all of its specialisms have similar modules in Level 1. Modules that provide a foundation for any IT professional include System Analysis & Design, Fundamentals of Software Development, and Introduction to Programming in an appropriate language. More technical knowledge and skills are developed in Operating Systems & Computer Architecture and Introduction to Networking. The core topic in this specialism is introduced through Introduction to Artificial Intelligence. Modules such as Introduction to Management and Computing & IT in the Workplace provide a foundation for multi-disciplinary education and understanding personal and organisational
development. Important and relevant skills for independent learning are introduced throughout this level.

Common Modules

• Computing & IT in the Workplace
• Fundamentals of Software Development
• Introduction to Databases
• Introduction to Management
• Introduction to Networking
• Mathematical Concepts for Computing
• Operating Systems & Computer Architecture
• System Analysis & Design

Specialised Modules

• Introduction to C Programming
• Introduction to Artificial Intelligence

In addition to the above, all students are also required to successfully complete General Studies modules as stipulated by the Malaysian Qualification Agency, as well as fulfill credit requirements for Co-Curricular Activities.

LEVEL 2

Specific skills related to Intelligent Systems are developed at Level 2 with AI Methods, System Programming and Computer Control, Probability & Statistical Modelling, and Imaging & Special Effects. These all assist in the implementation of Intelligent Systems, and provide a foundation for further knowledge and skills to be acquired at the next level. Your analysis and design skills are developed with System Development Methods, while your programing skills are sharpened with Object Oriented Development with Java and Programming Concepts in C++. Along with independent learning, a common theme in all APU ICT awards is fostering creativity and innovation in individuals and teams. These themes are the specific focus of the Creativity & Innovation and Research Methods for Computing & Technology modules.

Common Modules

• Creativity & Innovation
• Object Oriented Development with Java
• Probability & Statistical Modeling
• Professional & Enterprise Development
• Research Methods For Computing and Technology
• System Development Methods

Specialised Modules

• AI Methods
• Data Structures
• Human-Computer Interaction
• Imaging & Special Effects
• Programming Concepts in C++
• System Programming and Computer Control

LEVEL 3

The focus of Level 3 is further development of relevant technical skills and the ability to apply these skills with strong critical thinking and analysis. Cognitive Science, Further Artificial Intelligence, Knowledge Discovery, and Image Processing build on knowledge and skills acquired at the lower levels to provide an in depth understanding of techniques at the heart of intelligent systems. General personal and professional development is enhanced in Project Management, while Innovation Management & New Product Development continues the theme of generating new ideas and creating new products. Critical Issues in Managing IS in Organisations and Entrepreneurship ensure that you have a proper understanding and appreciation of relevant issues whether you choose to join an existing organisation or decide to set up your own business.

The Investigations and Project modules provide opportunity for students to further develop the academic and practical aspects of their areas of study and reinforce their independent learning skills. Furthermore, the major project that students are expected to do, will entail extensive research in domain knowledge and acquiring of skills in using tools and methods in the particular specialism. The significant aspect of this level is the demonstration of higher level critical thinking, analysis and application in the award project.

Common Modules

• Innovation Management & New Product Development
• Project Management

Specialised Modules

• Advance Programming Language Concepts
• Cognitive Science
• Critical Issues in Managing IS in Organisations Entrepreneurship
• Further Artificial Intelligence
• Image Processing, Computer Vision & Pattern
• Recognition
• Intelligent Systems Project
• Investigations in Intelligent Systems
• Knowledge Discovery & Big Data Analytics

Note: The specialism will appear only in the academic transcript.

Careers in Intelligent Systems:

Functional roles in designing and developing solutions involving Artificial Intelligence and Decision Support, Knowledge Engineering and Data Mining.