This course deals with the application of economic analysis models for decisions between alternatives. In particular, students will be exposed to the concepts of the time value of money and equivalence; basic economy study methods; decisions under certainty; decisions recognizing risk; and decisions admitting uncertainty. By teaching students how to compare alternatives based on cost, benefit, and sustainability (especially under uncertainty and risk), the course promotes resource efficiency and long-term economic sustainability, both key to responsible production and consumption. (SDG 12: Responsible Consumption and Production)
The course is designed for undergraduate engineering students with emphasis on problem-solving related to societal that engineers and scientists area called upon to solve. It introduces different methods of data collection and the suitability of using a particular methods for a given situation. It includes coverage and discussion of the relationship of probability to statistics, providing students with tools they need to understand how “chance” plays a role in statistical analysis. Probability distributions of random variables and their uses, are also considered, along with a discussion of linear functions of random variables within the context of their application to data analysis and inference. The course also include estimation techniques for unknown parameters, and hypothesis testing used in making inferences from sample to population, inference for regressions parameters and build models for estimating means and predicting future values of key variables under study Finally, statistically based experimental design techniques and analysis of data are discussed with the aid of relevant statistical software.
A basic engineering science course of mechanics dealing with rigid bodies, those 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.