Bachelor of Computer Science (Hons.) (Intelligent Computing / Computing Infrastructure / Software Engineering) offshore programme USM-UOWM KDUPG is a 4-year fulltime programme conducted at UOWM KDUPG, Penang. The candidates must complete 132 units to graduate. Upon graduation, graduates will be awarded Computer Science Bachelor’s Degree with Honours either (Intelligent Computing) or (Computing Infrastructure) or (Software Engineering) according to the track they have specialized in. The offshore programme is a joint-programme between UOWM KDUPG and USM via School of Computer Sciences, Universiti Sains Malaysia (SoCS-USM) in establishing a collaborative course.
Academic modules and quality of the programme conducted at UOWM KDUPG is the same as the programme conducted at the USM main campus. Matters regarding registration, teaching and student’s assessment are under the responsibility of both SoCS-USM and UOWM KDUPG. SoCS-USM will ensure that the teaching quality of the lecturers and the academic achievements of the students at UOWM KDUPG campus are at par with those at the USM main campus. Students of both campuses will have the opportunity to cooperate, exchanging ideas and creativity towards becoming competent and efficient graduates in the global industry.
The programme will be implemented in three (3) phases as below:
General Educational Goals and Objectives
The general educational goal of the Bachelor of Computer Science (Hons.) degree programme is to produce high-quality graduates with the necessary professional skills to practice as successful computing professionals and compete effectively in a world of rapid technological change. Therefore, the educational objectives of the programme are to train:
PEO1: computing practitioners who are able to adopt appropriate methodologies and techniques to provide computing solutions based on relevant knowledge and technical skills in the fields of computing which are in line with the industry requirements.
PEO2: computing practitioners who have leadership skills, autonomy and responsibility and communicate effectively with computing-related stakeholders.
PEO3: computing practitioners who have positive attitudes, commitment for lifelong learning and entrepreneurial mind-set within industry for self and career progression.
PEO4: computing practitioners who uphold ethical and professional practices in maintaining self and professional integrity.
Programme Learning Outcomes
At the end of the programme, graduates will be able to:
PLO1 |
Knowledge and Understanding |
Analyse knowledge, facts, concepts, principles, and theories relating to Computer Science; |
PLO2 |
Practical Skills |
Adapt appropriate methodologies and techniques for modelling, designing, developing and evaluating computing solutions |
PLO3 |
Cognitive Skills |
Analyse algorithms and techniques to design and optimise computing solutions |
PLO4 |
Communication Skills |
Communicate effectively and confidently with diverse stakeholders in appropriate context in a well-structured manner to a diversity of audiences. |
PLO5 |
Interpersonal Skills |
Interact effectively with different people in diverse learning and working communities in computing practices as well as other groups. |
PLO6 |
Ethics and Professionalism |
Uphold professional and ethical practices in delivering services related to the field of computing and varied social environment. |
PLO7 |
Personal Skills |
Engage effectively in self-directed lifelong learning and professional pathways. |
PL08 |
Entrepreneurial Skills |
Apply entrepreneurial mind set in delivering solutions under changing industry landscape |
PL09 |
Leadership, Autonomy and Responsibility, |
Demonstrate leadership, teamwork, accountability and responsibility in delivering services related to field of computing. |
PLO10 |
Digital Skills |
Use a broad range of information and software tools to support study or professional work in computing. |
PLO11 |
Numeracy Skills |
Use numeracy skills for problem solving in computing practices. |
Details and summary of credits and courses for the degree programme are given in the tables below.
CORE COURSES: 80 CREDITS |
|
Common Core (60 Credits) |
|
1. |
CPT111/3 – Principles of Programming |
2. |
CPT112/4 – Discrete Structures |
3. |
CPT113/3 – Programming Methodology and Data Structures |
4. |
CPC151/4 – Fundamentals of Logic and Artificial Intelligence |
5. |
CPC152/4 - Foundations and Programming for Data Analytics |
6. |
CST131/4 – Computer Organisations |
7. |
CMT221/4 – Database Organisations and Design |
8. |
CSE241/4 – Foundations of Software Engineering |
9. |
CPT212/4 – Design and Analysis of Algorithms |
10. |
CST232/3 – Operating Systems |
11. |
CST235/4 – Principles of Computer Networks and Information Security |
12. |
CAT201/2 – Integrated Software Development Workshop |
13. |
CAT304/3 – Group Innovation Project and Study for Sustainability |
14. |
CAT302/12 – Industrial Training |
15. |
CAT402/2 – Professional and Technopreneurship Development |
Major Core (20 Credits) |
Students are required to choose ONE (1) Major (Specialisation) area from the following and complete all the courses under the respective major. |
INTELLIGENT COMPUTING |
SOFTWARE ENGINEERING |
1. CPC251/3 – Machine Learning and Computational Intelligence |
1. CSE242/3 - Software Requirement Analysis and Modelling |
2. CPT316/3 - Programming Language Implementation and Paradigms |
2. CSE341/3 - Software Architecture and Design |
3. CPT411/3 – Automata Theory and Formal Languages |
3. CSE441/3 - Software Process and Quality Assurance |
4. CPC453/3 – Computer Vision and Robotics |
4. CSE442/3 - Software Testing |
5. CAT405/8 – Intelligent Computing Major Project |
5. CAT404/8 - Software Engineering Major Project |
FIELD ELECTIVE COURSES: 15 CREDITS |
|
Students are required to choose ONE (1) track of Field Electives according to their Major specialisation. For each track, · Courses No. 1 to No. 3 - Compulsory., · Choose one (1) course from No. 4 and No. 5, choose one (1) course from No. 6 and No. 7. |
|
MAJOR: INTELLIGENT COMPUTING |
|
Data Analytics |
Media Computing |
1. CPC351/3 - Principles of Data Analytics |
1. CPC352/3 - Multimedia Systems and Interaction Design |
2. CPC353/3 - Natural Language Processing |
2. CPC354/3 - Computer Graphics and Visualization |
3. CPC451/3 - Big Data Technologies and Management |
3. CPC452/3 - Animation and Virtual Reality |
4. CMT321/3 - Management and Engineering of Databases |
4. CMT322/3 - Web Engineering and Technologies |
5. CPC357/3 - IoT Architecture and Smart Applications |
5. CPC356/3 - Mobile and Game Platform-based Development |
6. CMT426/3 - Business Intelligence and Analytics |
6. CPC451/3 - Big Data Technologies and Management |
7. CMT427/3 - Information Storage and Retrieval |
7. CMT427/3 - Information Storage and Retrieval |
MAJOR: SOFTWARE ENGINEERING |
|
Information Systems Development |
Specialised Systems Development |
1. CMT321/3 - Management and Engineering of Databases |
1. CSE342/3 - Dependable Software Systems Engineering |
2. CMT323/3 - Information Systems Theory and Management |
2. CMT322/3 - Web Engineering and Technologies |
3. CMT425/3 - Enterprise Architecture and Systems |
3. CSE443/3 - Real-time Software Engineering |
4. CMT322/3 - Web Engineering and Technologies |
4. CPC352/3 - Multimedia Systems and Interaction Design |
5. CPC352/3 - Multimedia Systems and Interaction Design |
5. CPC356/3 - Mobile and Game Platform-based Development |
6. CMT426/3 - Business Intelligence and Analytics 7. CMT427/3 - Information Storage and Retrieval |
6. CMT425/3 - Enterprise Architecture and Systems 7. CMT426/3 - Business Intelligence and Analytics |
MINOR OR ELECTIVE COURSES: 20 CREDITS |
|
Students are required to choose Computer Science with Minor Programme or Computer Science with Electives Programme |
|
For Computer Science with Minor Programme |
For Computer Science with Electives Programme |
20 Credits of Minor courses from a Minor programme (For the list of Minor programmes and courses, see Section 5 and the Minor Programme Handbook) |
Inter-Disciplinary Elective Courses (8 Credits) Choose courses from Appendix A or any courses offered by other schools/centres. Intra-Disciplinary Elective Courses (12 Credits) - Course from other major (3 Credits): Choose 1 Major Core course (course no. 1) from other Major Core courses. - Within the field elective track (6 Credits): Choose 2 remaining courses from courses No. 4 and No. 5, and from courses No. 6 and No. 7 from within the chosen track of Field Electives or any other courses from other field elective tracks. - Free elective (3 Credits): Choose 1 course from any major core or field elective courses. |
# Display high level of responsibility and accountability to lead the project independently.
Programme requirements together with course code classification for the Bachelor of Computer Science (Honours) are given in the table below.
Programme Requirements and Course Code Classification
Programme Requirements |
Course Code Classification |
Number of Units |
|
Type of Programme |
|||
Computer Science with Electives |
Computer Science with Minor |
||
School Requirements |
|
80 |
|
(b) Field Electives |
E |
15 |
|
(c) Elective Courses |
E |
20 |
0 |
(d) Minor Courses |
M |
0 |
20 |
University Requirements |
U |
17 - 22 |
|
Minimum Total Unit Requirements |
132-137 |
https://admission.usm.my/images/Computer_Science.pdf
Duration
Intake Semester
April & October