DBC20032 INTRODUCTION TO ARTIFICIAL INTELLIGENCE SESI 1 2026/2027

INTRODUCTION TO ARTIFICIAL INTELLIGENCE (AI) is a course provides a broad overview of Artificial Intelligence (AI), and fundamental concepts, applications, and implications across various fields. This course designed for students from diverse academic backgrounds, it covers fundamental AI principles, key technologies, and their impact on society and different sectors. Students will explore the basics of AI, including machine learning, neural networks, and ethical considerations, and gain hands-on experience with AI tools and technologies .

DBM10163 SESI I 2026/2027 : ENGINEERING MATHEMATICS 1

ENGINEERING MATHEMATICS 1 exposes students to basic algebra including resolving partial fractions. This course also covers the concept of trigonometry and the method to solve trigonometry problems by using basic identities, compound angle and double angle formulae. Students will be introduced to the theory of complex numbers and the concept of vector and scalar. Students will explore advanced matrices involving a 3x3 matrix.

DBM30183 SESI I 2026/2027 : ENGINEERING MATHEMATICS 3

ENGINEERING MATHEMATICS 3 exposes students to statistical and probability concepts and their applications in interpreting data. The course also introduces the numerical methods concept to solve simultaneous equations by using the Gaussian Elimination Method, LU Decomposition using Doolittle and Crout methods, polynomial problems using Simple Fixed-Point Iteration and Newton-Raphson Methods. To strengthen the students in solving engineering problems, Ordinary Differential Equation (ODE) is also included. In addition, the course also discusses optimization problems by using Linear Programming. It is designed to build students teamwork and problem solving skills.

DBM30193 SESI I 2026/2027 : ELECTRICAL ENGINEERING MATHEMATICS

ELECTRICAL ENGINEERING MATHEMATICS exposes students to the statistical and probability concepts and their applications in interpreting data. The course also introduces numerical methods concept to solve simultaneous equations by using Gaussian Elimination method, LU Decomposition using Doolittle and Crout's methods, polynomial problems using Simple Fixed Point Iteration methods and Newton Raphson method. In addition, ents in solving advanced engineering problems, Ordinary Differential Equation (ODE) is included. In addition, the course also discuss Laplace Transform by using the Table of Laplace.