Bachelor of Computer Engineering (Artificial Intelligence) with Honours

This programme is curated specially to address the need for jobs that demand skills in the area of Artificial Intelligence (AI). It encompasses the learning of AI, Computer and Engineering. By espousing these areas, students can expect to grasp a keen understanding of the technology, its history, functionality and challenges in the application of AI. This programme covers the core theoretical foundations and provides advanced algorithmic, statistical and computer engineering knowledge.

Essentially, students will be exposed to the design, modeling, analysis, and applications of AI through machine vision, language, signal processing and robotics. As students develop the adroitness in this field, gain new insights and smarter correlations, they will appreciate their transformation in the higher-order professional the industry needs. 

Courses Offered

Year 1

• Mathematical Methods for Engineers I
• Circuit Theory I 
• Electromagnetic Theory 
• Engineering Graphics and Design 
• Computing for Engineers
• Mathematical Methods for Engineers II
• Analogue Electronics I 
• Digital Electronics I
• Statistics
• Electrical and Electronic Lab 1
• Computer Architecture
• Technical Communication

Year 2

• Circuit Theory II
• Instrumentation and Measurement 
• Electrical Power
• Algorithm Design and Analysis 
• Object Oriented Programming 
• Safety, Health and Environment 
• Introduction to Artificial Intelligence 
• Software Engineering
• Java Programming
• Electrical and Electronic Lab 2 
• Computer Engineering and AI Lab
• Industrial Training I

Year 3

• Digital Signal Processing 
• Engineering Management and Economics
• Microprocessor Systems 
• Data Communication and Networks 
• Embedded System Design 
• Control Systems 
• Engineers in Society
• Communication Theory
• Machine Learning 
• Human Computer Interaction
• Instrumentation and Control Lab
• Industrial Training II

Year 4

• Integrated Design Project 1 
• Operating Systems 
• Cybersecurity
• Integrated Design Project 2 
• Elective 1
• Elective 2 
• Elective 3 
• Final Year Project A*
• Final Year Project B

Elective Courses (Select 1 specialisation only)

Specialisation 1: Business Analytics
Data Mining
Database Systems
Big Data

Specialisation 2: Computational Intelligence
Big Data
Machine Vision
Blockchain

Specialisation 3: Control and Intelligent System
Parallel Computing
Mobile Application Development
Advanced Instrumentation and Control

General Courses (MPU) are compulsory for all students.

For Malaysian students:

1. Appreciation of Ethics and Civilisations
   (Penghayatan Etika dan Peradaban)
2. Philosophy and Contemporary Issues
   (Falsafah dan Isu Semasa)

For foreign students:

1. Philosophy and Contemporary Issues
2. Communication in Bahasa Melayu 3
   (Bahasa Melayu Komunikasi 3)