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Bachelor of computer science hons intelligent systems

Asia Pacific University of Technology & Innovation

Location: Technology Park Malaysia Bukit, Kuala Lumpur
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Type: Private Institution
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Bachelor of computer science hons intelligent systems Fees Structure, Admission, Intake, Deadline

Study Mode:FULL TIME

Duration:3 Years

Level:UNDER-GRADUATE

Exam Accepted:N/A

Intake:SEP,NOV,FEB

Tuition Fees:N/A

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Course Intake

Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec

Overview

Overview of Bachelor of computer science hons intelligent systems in Asia Pacific University of Technology & Innovation Malaysia

This programme is specifically designed to provide students with:

The ability to design and develop systems that exploit artificial intelligence techniques such as machine learning, fuzzy logic, natural language processing, etc.
The ability to critically evaluate design paradigms, languages, algorithms, and techniques used to develop complex software systems.
The ability to evaluate and respond to opportunities for developing and exploiting new applications of artificial intelligence.

PROGRAMME STRUCTURE

DEGREE LEVEL 1

Students will learn fundamental skills required by every IT professional, and the basic understanding of artificial intelligence techniques and algorithmnic thinking. Some specialised modules will provide them basic knowledge of underlying computer systems such as computer architecture, operating systems, networks and databases. The modules will also help them develop personal and organisational skills, as well as nurture creativity and innovation.

Common Modules	Specialised Modules
Digital Thinking and Innovation Introduction to Management System Analysis & Design Programming with Python Mathematical Concepts for Computing Operating Systems & Computer Architecture Introduction to Networking Introduction to Databases	Introduction to Artificial Intelligence
Elective Modules (Choose 1)
Introduction to Object-Oriented Programming Introduction to C Programming

DEGREE LEVEL 2

A broader range of skills will be learnt, in which the students will gain a better understanding of artificial intelligence techniques such as machine learning, fuzzy logic, and natural language processing. They will gain solid understanding of techniques used to develop complex software systems that include data acquisitions via various sensors. We will further nurture their creativity and innovation as well as independent learning to prepare them for the workplace.

Common Modules	Specialised Modules
Object Oriented Development with Java System Development Methods Programming for Data Analysis Creativity & Innovation Research Methods for Computing and Technology	AI Methods Probability & Statistical Modeling Human-Computer Interaction Data Structures Imaging & Special Effects System Programming & Computer Control
Elective Modules (Choose 1)
Mobile App Engineering Enterprise Internet of Things

INTERSHIP (16 weeks)

Students will undertake an Internship/Industrial Training for a minimum period of 16 weeks to prepare them for a smooth transition from the classroom to the working environment.

DEGREE LEVEL 3

Students will make use of their previous studies and industrial experience to extend their familiarity in the field of intelligent systems and to refine their personal and professional development. Students will move further into artificial intelligence design paradigms and algorithms, programming techniques and statistical techniques applicable to artificial intelligence. A final year project requires them to investigate and develop a solution for a real-world problem - they will demonstrate their ability to combine technical knowledge, critical thinking and analytical skills to produce a personal achievement portfolio.

Common Modules	Specialised Modules
Innovation Management & New Product Development Enterprise Programming for Distributed Applications Project Management	Further Artificial Intelligence Image Processing, Computer Vision & Pattern Recognition Emergent Technology Knowledge Discovery and Big Data Analytics Investigations in Intelligent Systems Intelligent Systems Project
Elective Modules (Choose 2)
Algorithmics OR ?Text Analytics & Sentiment Analysis Ubiquitous Computing OR Critical Issues in Managing IS in Organisations

MQA Compulsory Subjects*

Ethnic Relations (M’sian Students)
Islamic & Asian Civilisation (M’sian Students)
Malaysian Studies (Int’l Students)
Malay Communication Language (Int’l Students)
Workplace Professional Communication Skills
Employee & Employment Trends
Co-Curriculum

ENTRY REQUIREMENTS

Programmes	General Requirements
DIRECT ENTRY TO LEVEL 1 OF THE DEGREE:
STPM	• 2 Passes in STPM in Science stream with minimum Grade C (GPA 2.0) in Mathematics and one Science or ICT Subject. OR • 2 Passes in STPM with minimum Grade C (GPA 2.0) in any subject with a credit in Additional Mathematics at SPM. OR • 2 Passes in STPM with minimum Grade C (GPA 2.0) in any subject with a credit in Mathematics and any one Science or ICT subjects at SPM. Candidates need to do a Pre-Requisite module in Further Mathematics or equivalent in the first semester of Degree Programme.
A-LEVEL Overseas qualification that are equivalent to 12th Grade/ A-Level/ HSC are accepted.	• 2 Passes in A-Level in Science stream with a Pass in Mathematics and one Science or ICT subject. OR • 2 Passes in A-Level with a Credit in Additional Mathematics at SPM/ IGCSE/ O-Level or equivalent. OR • 2 Passes in A-Level with a Credit in Mathematics and Science or ICT subjects at SPM/ IGCSE/ O-Level or equivalent. Candidates need to do a Pre-Requisite module in Further Mathematics or equivalent in the first semester of Degree Programme.
UEC	• 5 Grade B Passes in UEC in any subject including Mathematics and one Science or ICT subject. • 5 Grade B Passes in UEC in any subject including Additional Mathematics. • 5 Grade B Passes in UEC in any subjects including Mathematics. Candidates need to do a Pre-Requisite module in Further Mathematics or equivalent in the first semester of Degree Programme.
FOUNDATION/ MATRICULATION	• A pass in Matriculation or Foundation studies with minimum CGPA of 2.0 with a Credit in Additional Mathematics at SPM/ IGCSE/ O-Level or its equivalent. Note : The requirement for the Additional Mathematics can be exempted if the Matriculation or Foundation offers Mathematics module which is equivalent or higher requirement than the Additional Mathematics at SPM level. OR • A pass in Matriculation or Foundation studies with minimum CGPA of 2.0 and a Credit in Mathematics and Science or ICT subject at SPM/ IGCSE/ O-Level or its equivalent. Candidates need to do a Pre-Requisite module in Further Mathematics or equivalent in the first semester of Degree Programme.
DIRECT ENTRY TO LEVEL 2 OF THE DEGREE:
ICT RELATED DIPLOMAS	• Diploma with a minimum CGPA of 2.50. Note: Student with CGPA above 2.0 and below 2.5 may be accepted using rigorous assessment conducted by APU and subject to the approval of the Academic Board.