• Major: Intelligent Computing (Perkomputeran Cerdas)

                In the digital world we live in, the element of intelligence permeates our daily lives. From homes to cities and from apps to robots - intelligent computing helps us monitor activities, plan schedules, secure information and make right decisions. The demand for intelligent and smart systems by governments, organisations and end-users has given new impetus to the area of intelligent computing. This has created a demand for computing professionals who are able to fulfil this requirement.

                Students majoring in Intelligent Computing will develop and expand their knowledge on machine learning, computational intelligence, programming language implementation and paradigms and theory of computation. These would lay the foundation for students to further pursue specific interest in either Data Analytics, or Media Computing.

    Ultimately, graduates majoring in Intelligent Computing will be able to:

    *    apply intelligent techniques and approaches to solve domain-specific problems which include intelligent systems, data analytics, computer vision, natural language processing and multimedia information systems [Technical Knowledge].

    *    develop and design intelligent or smart applications and software on various platforms including web-enabled systems, and mobile and game platform-based development [Design Solutions in Context]. 

  • 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:

    PEO 1: 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.

    PEO 2: Computing practitioners who have leadership skills, autonomy and responsibility and communicate effectively with computing-related stakeholders.

    PEO 3: Computing practitioners who have positive attitudes, commitment for lifelong learning and entrepreneurial mind-set within industry for self and career progression.

    PEO 4: Computing practitioners who uphold ethical and professional practices in maintaining self and professional integrity.

  • At the end of the programme, graduates will be able to:

    PLO1: Analyse concepts, principles, and theories relating to computer sciences [Knowledge and Understanding].

    PLO2: Apply appropriate algorithm and techniques for computing solutions [Practical Skills].

    PLO3: Construct computing solution using appropriate algorithm and technique for non-routine problem [Cognitive Skills].

    PLO4: Communicate effectively and confidently with diverse stakeholders in appropriate context in a well-structured manner to a diversity of audiences [Communication Skills].

    PLO5: Interact effectively with different people in diverse learning and working communities in computing practices as well as other groups [Interpersonal Skills].

    PLO6: Uphold professional and ethical practices in delivering services related to the field of computing and varied social environment [Ethics and Professionalism].

    PLO7: Engage effectively in self-directed lifelong learning and professional pathways [Personal Skills].

    PLO8: Apply entrepreneurial mind set in delivering solutions under changing industry landscape [Entrepreneurial Skills].

    PLO9: Demonstrate leadership, teamwork, accountability, and responsibility in delivering services related to field of computing [Leadership, Autonomy and Responsibility].

    PLO10: Use a broad range of information and software tools to support study or professional work in computing [Digital Skills].

    PLO11: Use numeracy skills for problem solving in the field of in computing practices [Numeracy Skills].

School of Computer Sciences, Universiti Sains Malaysia, 11800 USM Penang, Malaysia
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