Fakulti Sains komputer dan Matematik
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Understanding complex phenomena in real world problems requires knowledge and skills at an advanced level. Modelling the complex dynamical system and dealing with unpredictable processes must be based on the combination of pure and applied mathematics. To certain extent, some problems may need solution with the aid of Machine Learning in parallel with industrial revolution nowadays. This programme has been designed to equip you with the knowledge and skills that you really need for your career. Our experts are waiting to serve you!
Program ini ditawarkan untuk pelajar mencapai objektif berikut
PEO1 : Knowledgeable and have a deep understanding in mathematics and eager to explore new and challenging field of knowledge.
PEO2 : Proficient in using computer technology to solve problems critically and innovatively.
PEO3 : Able to lead with trust and full of ethics and able to work with team members professionally.
PEO4 : Ability to organize ideas, information, and data on a regular basis and be able to deliver it effectively through the effective use of technology.
PEO5 : Ability to identify opportunities and the ability to develop a business plan based on knowledge in the field of mathematics.
This course discusses nonlinear ordinary differential equations from an analytical point of view and involves significant use of a number of concepts, including equilibrium points, orbits, phase portraits and limit cycles. Several methods such as linearization are discussed to determine existence and stability of equilibrium points and analyze nonlinear differential equations such as. An introduction to chaos theory is also presented. The techniques will be applied to nonlinear differential equations from physics, engineering, biology, ecology.
The numerical method is an important tool to solve problems in various fields. In this course, students will be exposed to a number of numerical methods appropriately. They also will be guided to develop and to improve the numerical methods based on the given problems. This course is embedded with programming element thus the developed solution can be implemented by using a computer. Throughout this course, the students are expected to perform numerical computation in a few projects in order to get real experience in solving mathematical modeling.
In this course, students are applied with knowledge of the process that need to be taken for mathematical modeling of the various considered issues. In addition, students are exposure to methodology and mathematical skills in modeling. The topics include the problems in industrial and physical sciences especially in the field of maritime and maritime decision-making. The discussion of the modeling approach based on analitical or numerical solutions and the suitability of the model from research papers will be highlighted. Also, Students will use their knowledge and skills to simulate or visualize the results. The detailed syllabus could be changed from year to year with the different talk of research from lecturers and visitors (if applicable).
Machine learning is concerned with the question on how to make computers learn from experience. Keupayaan untuk belajar bukan sahaja penting kepada kebanyakan aspek tingkah laku pintar, tetapi teknik pembelajaran mesin telah menjadi komponen utama dalam banyak sistem perisian. Kursus ini merangkumi kedua-dua teknik pembelajaran mesin yang mantap dan maju seperti Rangkaian Neural, Mesin Vektor Sokongan dll.
Kursus ini membincangkan kaedah umum yang digunakan dalam menjalankan penyelidikan. Gaya dan kaedah penulisan kertas cadangan penyelidikan turut dibincangkan. Selain itu, isu berkaitan sikap dan nilai profesionalisme sebagai penyelidik dan etika dalam penulisan dan penerbitan turut diketengahkan dalam kursus ini.
Kursus ini bertujuan memberi ruang kepada pelajar menunjukkan kemahiran sosial, kerja berpasukan dan tanggungjawab dalam penganjuran kolokium pasca siswazah secara beretika, moral dan profesional. Selain itu, komunikasi lisan yang berkesan turut ditekankan melalui pembentangan individu kolokium yang dianjurkan.
Kursus ini bertujuan memberi ruang kepada pelajar menunjukkan kemahiran sosial, kerja berpasukan dan tanggungjawab dalam penganjuran kolokium pasca siswazah secara beretika, moral dan profesional. Selain itu, komunikasi lisan yang berkesan turut ditekankan melalui pembentangan individu kolokium yang dianjurkan.
Syarat Am Kemasukan:
ATAU
ATAU
* Calon hendaklah mengemukakan Sijil APEL daripada MQA sebelum proses kemasukan
Syarat Am Kemasukan
Keperluan Bahasa Inggeris
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Tempatan |
Antarabangsa |
Kos-kos tambahan |
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RM 11,140.00 |
USD 7,220 |
Ketahui lebih lanjut tentang penginapan dan kos sara hidup, serta kos tambahan am yang mungkin anda bayar semasa belajar di UMT. |
Pembiayaan kerajaan
Anda mungkin layak mendapat kewangan kerajaan untuk membantu membayar kos pengajian. Lihat laman web kewangan pelajar di portal kerajaan
Biasiswa disediakan untuk kecemerlangan dalam aktiviti akademik dan kokurikulum, dan diberikan secara merit. Untuk maklumat lanjut tentang pelbagai anugerah yang tersedia dan untuk membuat permohonan lihat laman web biasiswa kami.
Email : fnoor_hh@umt.edu.my
Telefon: +609-668 3341 (pejabat)
+6014-833 3910 (telefon bimbit)
Maklumat Program:
Apply online at : http://gsea.umt.edu.my