A basic engineering science course of mechanics dealing with rigid bodies those are at rest or in motion. It is designed to provide fundamental concepts about forces, moments and couples and their systems. The concept of resultants and equilibrium of forces and moments is utilized to enable solution of statically determinate problems. The course also covers the following topics; Kinetics and kinematics of a particle; kinetics and kinematics of rigid bodies; work energy method; and impulse and momentum.
The course promotes quality engineering education by building students' fundamental understanding of mechanics , a core pillar of all engineering disciplines. Develops critical thinking and problem-solving abilities, which are key to innovation and lifelong learning in science and technology fields. (SGD 4).
The course introduces different methods of data collection and the suitability of using particular methods for a given situation. It includes coverage and discussion of the relationship of probability to statistics, probability distributions of random variables and their uses, linear functions of random variables within the context of their application to data analysis and inference, estimation techniques for unknown parameters, and hypothesis testing used in making inferences from a sample to population, inference for future values of key variables under study. Finally, statistically based experimental design techniques and analysis of outcomes of experiments to address issues on sustainable development will be discussed with the aid of statistical software.
Statistical analysis enables efficient resource usage and waste reduction in engineering applications. This course prepares students to make data-informed decisions that optimize processes and minimize environmental impact. (SDG 12)