### Degree Courses

COURSE |
SYNOPSIS |

BQT133/3 Business Mathematics |
The purpose of the course is to provide the student will mathematical techniques to help them to make better decisions in the business problems. Topics include: Matrix Algebra, Financial mathematics, Differential Calculus and Integral Calculus. |

BQT173/3 Business Statistics |
This course covers topics on data and statistics, descriptive statistics (tabular, graphical presentation and numerical measures), introduction to random variable, discrete and continuous probability distributions, sampling and sampling distributions, estimation, hypothesis tests, regression and correlation, and introduction to multiple regression. |

EQT101/3 Engineering Mathematics I |
This course will introduce the fundamental principles and concepts in linear algebra and calculus. The topics that will be discussed in this course are complex numbers, matrices, vectors, differentiation & integration and partial differentiation. |

EQT102/3 Engineering Mathematics II |
This course will introduce to students to differential equations. Initially differential equations covered the methods to solve differential equations including first and second order differential equations and its applications. Next, the course will introduce to the separation of variables method to solve partial differential equations problem. Then, Laplace transform will be discussed as a method to solve differential equations. At the end of study, Fourier Series will be discussed to the students. |

EQT203/3 Engineering Mathematics III |
This course intoduces the definition and concepts in vector calculus, numerical methods and introduction on basic of finite element. the topics discuss includes differentiation and integration of vectors, surface and volume integral, green's, gauss and stokes theorems, curve fitting, interpolation, numerical integration, numerical solution of differential equations, introduction to finite element for 1-D heat transfer problem. Important concepts related to vector fields, numerical method and basic 1-D finite element method are introduce in this course and then follow by the use of these concepts in solving mathematical problem. |

EQT221/3 Discrete Mathematics and Linear Algebra |
This course introduces the definition and concepts in discrete mathematics and linear algebra which is an essential tools in almost all subareas of computer science and communication systems. The topics discuss includes sets and functions, logic, theory number and cryptography, matrices and linear transformation, vector spaces and inner product spaces. |

EQT241/3 Intermediate Mathematics |
This course introduces the definition and concepts in vector calculus and numerical methods. Three important concepts related to scalar and vector fields. The topics discuss also includes numerical differentiation and numerical integration, numerical solution of differential equations and finite difference method. |

EQT271/3 Engineering Statistics |
This course introduces the fundamental concepts in statistics. The definition of statistics and basic concepts of statistics such as collection of data, data summary and presentation, probability distribution and sampling distribution will be introduced to the students in topic basic statistics. This course also teaches the students on how to make a statistical inference which are estimation and hypothesis testing. Apart from that, students will learn on how to run statistical test and analyze the results obtained. These skills will be taught in topic introductory linear regression (Simple linear regression, Least squares method, test for linearity of regression and Pearson product moment correlation coefficient), analysis of variance (one -way and two -way ANOVA) and nonparametric statistics (The test, Sign test, Mann-Whitney test, Kruskal Wallis test, Wilcoxon- signed rank test and Spearman rank correlation. |

EQT272/3 Probability and Statistics |
This course provides an elementary introduction to probability and statistics with applications. Topics include probability theorem, random variables, probability distribution, statistical inference which is including estimation and hypothesis testing and finally the regression concept. |

PQT111/3 Mathematics for Engineering Technology I |
This course will introduce the fundamental principles and concepts in algebra, calculus and statistics. The topics that will be discussed in this course are complex numbers, matrices, vectors, differentiation & integration and statistics. |

PQT112/3 Mathematics for Engineering TechnologyII |
This course will introduce the concepts of ordinary differential equations. The topics that will be discussed in this course are the methods in solving the differential equations including first and second order differential equations and its applications. Next, the course will introduce to the Laplace transform method to solve differential equations and at the end of topic, Fourier Series expansion of a function will be discussed to the students. |

PQT213/3 Mathematics for Engineering Technology III |
This course will introduce the definition and concepts of partial derivatives and vector calculus. An introduction to some theorems in vector calculus topic will be exposed for students. At the end of study, this course also discusses the topic of numerical methods that introduce several methods in solving mathematical problems. |

PQT274/3 Statistics for Engineering Technology |
This course introduces the fundamental concepts in statistics. The definition of statistics and basic concepts of statistics such as collection of data, data summary and presentation, probability distribution and sampling distribution will be introduced to the students in topic basic statistics. This course also teaches the students on how to make a statistical inference which are estimation and hypothesis testing. Apart from that, students will learn on how to run statistical test and analyze the results obtained. These skills will be taught in topic introductory linear regression (Simple linear regression, Least squares method, Test for linearity of regression and Pearson product moment correlation coefficient), analysis of variance (one-way) and nonparametric statistics (The test, Sign test, Mann-Whitney test and Spearman rank correlation). |