Department of Mathematics

» Mathematics 1 (MTCF 0114)

This course is designed to provide suitable approaches for students to find a solution algebraically, considering various types of inequalities and equations which involved linear equations, quadratics equations, other types of equations, complex numbers and matrices. This course also allows students to convey the answers graphically from different basic functions including exponential, logarithmic and trigonometric functions. Additionally, students can use suitable theorems, properties and formulas when working with polynomial and rational functions. Through theoretical understanding and hands-on practice, students will develop critical thinking skills and problem-solving abilities essential for future academic pursuits and careers. Thus, this course aims to enable students to establish a solid foundation in algebra which covers a strong base of knowledge, skills and fundamental mathematical concepts that are crucial for diverse disciplines.

» Mathematics 2 (MTCF 0125)

This course is designed to equip students with a robust understanding of fundamental mathematical concepts applicable across various work fields, e.g., engineering. The curriculum encompasses analytic trigonometry, polar coordinates, vectors, analytic geometry, limits & continuity, derivatives, integration, and first order differential equations. The emphasis is on not only comprehending theoretical principles but also on applying them to solve practical problems encountered in real-world scenarios. Through this integration of theory and practical problem-solving, students develop advanced problem-solving skills, critical thinking abilities, and effective communication of complex ideas. The course’s versatility prepares students for diverse work fields, offering them a strong foundation for tackling mathematical challenges in any professional context. Whether in scientific research, technology, or other fields, graduates emerge with a versatile skill set that enhances their analytical capabilities and problem-solving acumen. This approach ensures that the course’s benefits extend across various industries and professions, aligning with the demands of a dynamic and evolving job market.

» Introduction to Mathematics for Computing (MTIF 0125)
This course is designed for Foundation of ICT students to provide them with sets theory, logic, counting, relations, functions, graphs, etc. The knowledge gained from this course is meant to serve as a sound basis in understanding the fundamental concepts in algorithm theory, data structure, programming, cryptography, computer networking, software engineering, information systems, artificial intelligence, and automata theory.

» Statistics (MTCF 0123)

This course aims to provide students with a thorough introduction to statistics. Students will explore diverse aspects of statistical analysis, beginning with fundamental data description and progressing to advanced subjects such as hypothesis testing. This course provides topics on data description; counting and probability; discrete probability distributions, normal distribution, sampling, estimation and hypothesis testing. Upon completion of this course, students will have a strong foundation in statistics, enabling them to analyse data critically, derive meaningful conclusions, and make informed decisions based on data.

» Mathematics for Nursing (MTNF 0114)

Proficiency in mathematics is a crucial skill for the nursing profession as it is essential for the safe administration of medications and intravenous fluids. This course is designed for Foundation in Nursing students to improve and practice their existing mathematics skills and develop the ability to transfer these skills into nursing calculations. The curriculum emphasizes building strong numerical abilities through instruction in algebra, functions, graphing techniques, and basic dosage calculations. The course is designed to prepare students for further studies in nursing undergraduate programme.

» Statistics for Nursing (MTNF 0124)

This course is designed for Foundation in Nursing students to provide them with a comprehensive introduction to statistics. Students will explore various aspects of statistical analysis, starting from the basics of data description to more advanced topics like hypothesis testing. The course covers topics on data description; counting and probability; discrete probability distributions, normal distribution, sampling, estimation and hypothesis testing. By the end of the course, students will have a good foundation in statistics, enabling them to critically evaluate data, draw meaningful conclusions, and make informed decisions based on data.