ST214: Mathematical Analysis of Experimental Data
For graduate students only
This course is aimed at graduate students working in data analysis. As outlined in the course content, it exposes the student to collecting and analyzing data. It also bridges the gap between physics and mathematics giving due importance to both.
Design of Experiments, Data types, and data gathering tools. Errors, systematic & random errors, methods to minimize them, and account for them. Measurement variability. Instrument calibration and corrections at different scales. Significant figures. Uncertainty analysis and curve fitting; Data analysis of data distribution, normal, and t-distribution, confidence interval and hypothesis testing. Design of experiments: replication, randomization, blocking and controls. ANOVA, single factor experiments, randomized blocks, Latin square designs, factorial and fractional factorial designs. Simple and multiple linear regressions. Mathematical analysis of experimental data from problems in fluid flow, heat transfer, and combustion.
UES 314: Design Principles in Environmental Engineering
For undergraduate students
This is a core undergraduate course of the earth and environmental major of the bachelor of science program. As outlined in the course content, it exposes the student to acquire knowledge and understanding of the principles upon which environmental engineering is based, including general engineering, mathematical and scientific computations as well the physical, chemical, and biological science.
Laws of conservation: mass, energy, and momentum balances. Fundamentals of chemical reaction engineering: thermodynamics, stoichiometric and kinetics of chemical reactions, chemical reactors – stirred tank and plug flow reactors. Design for wastewater treatment processes: physical unit operations such as sedimentation and filtration, chemical and biological treatment processes. Design for air pollution control: gas-liquid interactions, absorption and adsorption processes, particulate emission control