The aims of this course are to expose students to the quality management and quality management tools, and emphasize the impact of data management to reduce uncertainties.

This course will discuss the relationship between products and quality management systems. The evolution of the quality management in details with four categories QMS that frequently used in discussion. It is involved with establishing and maintaining a QMS as procedures and other issues such as quality award that are important for continuos improvement.

This course combines mathematics ranging from Algebra, Calculus and Discrete Mathematics. Algebra component will focus on the numbers and operations, solving linear equations, simultaneous equations, graphs and equations, linear gradient and use linear equations. Calculus component is devoted to differentiation, integration, and multiple integrals and use. Discrete Mathematics component will focus on topics ranging from Logic and Proof, Boolean Algebra and logic circuits

This course combines mathematics ranging from Algebra, Calculus and Discrete Mathematics. Algebra component will focus on the numbers and operations, solving linear equations, simultaneous equations, graphs and equations, linear gradient and use linear equations. Calculus component is devoted to differentiation, integration, and multiple integrals and use. Discrete Mathematics component will focus on topics ranging from Logic and Proof, Boolean Algebra and logic circuits

This course combines mathematics ranging from Algebra, Calculus and Discrete Mathematics. Algebra component will focus on the numbers and operations, solving linear equations, simultaneous equations, graphs and equations, linear gradient and use linear equations. Calculus component is devoted to differentiation, integration, and multiple integrals and use. Discrete Mathematics component will focus on topics ranging from Logic and Proof, Boolean Algebra and logic circuits

This course provides an understanding and exposure to the field of statistics which are divided into two main components: descriptive statistics and inferential statistics. Descriptive statistics technique involves sorting, summarizing and presenting data. Inferential statistics related to technical analyze, interpret, infer and measure the reliability of a population-based sample data.

This course aims to introduce quantitative tools and techniques which is relevant to assist decision making and problem solving in the business world. It emphasizes on understanding and utilization of various management science models. The benefits derived from using those models will also be discussed. Specific topics of discussion include transportation model, linear programming, decision teory, waiting line model and simulation.

This course provides an introductory knowledge on the materials used in construction and the construction techniques, emphasizing on building construction. The main building construction materials such as concrete, steel, bricks, wood and polimers etc. are discussed. The construction techniques of building main building elements, temporary works as well as construction machineries are given. Techniques using prestressed concrete and precast concrete (IBS) and other innovative construction techniques are also discussed. In addition, current status and issues pertaining to the construction industry are also discussed to provide exposure to students of the business and entrepreneurship opportunities within the industry.

This course discusses and explains the problems of environmental pollution and explain the principles of environmental management. In addition to the importance and methods of assessment and environmental audits are also discussed.