iTEL
Search results: 6018
KE27003 COMPUTATIONAL ENGINEERING [2-2023/2024]
This course aims to provide students with an understanding of the role computation can play in solving problems. The students will learn to create computational models to understand and predict something about the world around them. Among the topics covered are optimization, data analysis and statistical learning. At the end of the course, the students will apply the learned skills to explore, process, analyze, and model data in a mini-project. This course will use MATLAB as the programming platform.
![KE27103 ANALISA KOMPLEKS [1-2023/2024]](https://itel.ums.edu.my/pluginfile.php/407738/course/overviewfiles/Complex.jpg)
KE27103 ANALISA KOMPLEKS [1-2023/2024]
This third engineering mathematics course covers advanced mathematical methods that will be used in upper-level electrical and electronic engineering courses. It also develops the methods to formulate basic engineering problems in a way that makes them amenable to computational/numerical analysis. The course will consist of two main modules:
(1) Numerical Analysis including the concepts of sequences and series, knowledge of numerical computing of nonlinear systems and differential equations.
(2) Complex Analysis including rectangular and polar representations in the complex plane with associated forms of complex arithmetic, powers, roots and complex logarithms, complex differentiation, analytic functions and Cauchy-Riemann equations, Complex Integrals, Laurent series and Residue Theorem
MATLAB/Octave, as a robust computational tool, will be used to reinforce, enrich and integrate ideas throughout the course. Students will be required to work on a series of assignments involving computational work using MATLAB/Octave.
(1) Numerical Analysis including the concepts of sequences and series, knowledge of numerical computing of nonlinear systems and differential equations.
(2) Complex Analysis including rectangular and polar representations in the complex plane with associated forms of complex arithmetic, powers, roots and complex logarithms, complex differentiation, analytic functions and Cauchy-Riemann equations, Complex Integrals, Laurent series and Residue Theorem
MATLAB/Octave, as a robust computational tool, will be used to reinforce, enrich and integrate ideas throughout the course. Students will be required to work on a series of assignments involving computational work using MATLAB/Octave.
![KE27103 ANALISA KOMPLEKS [2-2022/2023]](https://itel.ums.edu.my/pluginfile.php/430/course/overviewfiles/Complex%20Analysis.jpg)
KE27103 ANALISA KOMPLEKS [2-2022/2023]
This third engineering mathematics course covers advanced mathematical methods that will be used in upper-level electrical and electronic engineering courses. It also develops the methods to formulate basic engineering problems in a way that makes them amenable to computational/numerical analysis. The course will consist of two main modules:
(1) Numerical Analysis including the concepts of sequences and series, knowledge of numerical computing of nonlinear systems and differential equations.
(2) Complex Analysis including rectangular and polar representations in the complex plane with associated forms of complex arithmetic, powers, roots and complex logarithms, complex differentiation, analytic functions and Cauchy-Riemann equations, Complex Integrals, Laurent series and Residue Theorem
MATLAB/Octave, as a robust computational tool, will be used to reinforce, enrich and integrate ideas throughout the course. Students will be required to work on a series of assignments involving computational work using MATLAB/Octave.
(1) Numerical Analysis including the concepts of sequences and series, knowledge of numerical computing of nonlinear systems and differential equations.
(2) Complex Analysis including rectangular and polar representations in the complex plane with associated forms of complex arithmetic, powers, roots and complex logarithms, complex differentiation, analytic functions and Cauchy-Riemann equations, Complex Integrals, Laurent series and Residue Theorem
MATLAB/Octave, as a robust computational tool, will be used to reinforce, enrich and integrate ideas throughout the course. Students will be required to work on a series of assignments involving computational work using MATLAB/Octave.
![KE27403 PROBABILITY AND RANDOM VARIABLES [2-2022/2023]](https://itel.ums.edu.my/pluginfile.php/43129/course/overviewfiles/Probability%20Dice.jpg)
KE27403 PROBABILITY AND RANDOM VARIABLES [2-2022/2023]
This course is intended to introduce the concepts of probability and
random processes and to discuss their application to engineering problems.
Particular emphasis is given to the application of these methods to systems
analysis. Among the topics covered are an introduction to probability theory,
and the modelling and analysis of probabilistic systems; Sample space,
probabilistic models, conditional probability; Discrete and continuous random
variables; and elements of statistical inference.
![KE28501 MAKMAL KEJURUTERAAN III [1-2023/2024]](https://itel.ums.edu.my/pluginfile.php/407741/course/overviewfiles/pexels-jeremy-waterhouse-3665443.jpg)
KE28501 MAKMAL KEJURUTERAAN III [1-2023/2024]
This course is the practical application of the theories learned in Computer Architecture and Microprocessors (CAM) courses. Practically, students were exposed and to develop assembly language programming for 80386 microprocessor family and Verilog hardware description language (HDL) programming for custom-made 16-bits microprocessor. The lab modules contain a number of experiments of Assembly language for Intel 80386 microprocessor module and using Verilog HDL for designing 16-bits custom made processor. At the end of the course, students should be able to appreciate the knowledge of microprocessor and then apply it for designing their own custom-made computer processor architecture.
![KE31703 KEBARANGKALIAN DAN PROSES RAWAK / KE27403 KEBARANGKALIAN DAN PEMBOLEHUBAH RAWAK [1-2023/2024]](https://itel.ums.edu.my/pluginfile.php/407744/course/overviewfiles/Probability.jpg)
KE31703 KEBARANGKALIAN DAN PROSES RAWAK / KE27403 KEBARANGKALIAN DAN PEMBOLEHUBAH RAWAK [1-2023/2024]
This course is intended to introduce the concepts of probability and random processes and to discuss their application to engineering problems. Particular emphasis is given to the application of these methods to systems analysis. Among the topics covered are an introduction to probability theory, and the modelling and analysis of probabilistic systems; Sample space, probabilistic models, conditional probability; Discrete and continuous random variables; and elements of statistical inference.
iTEL