Temple University 3 credits CEE
A practical course on uncertainty and risk analysis for engineers and scientists, including modern computer algebra software applications. Random variables and probability distributions. Simulations of random systems, analytical models and Monte Carlo simulations. Systems with jointly distributed random variables. Estimation theory in engineering. Fitting probability models to data. Regression analysis. Reliability of engineering systems. Design of engineering experiments. Experiments and tests for two or more random variables. ANOVA. Introduction to stochastic processes, random walk, Brownian motion, white noise, and colored noise processes. Stochastic differential equations, stochastic calculus, differential equations with random initial conditions, random forcing functions, random boundary conditions, random partial differential equations. New techniques for non-linear equations.
Our subject experts help with essays, research papers, case studies, discussion posts, and capstone projects for these programs β written from scratch to your course requirements.
Program and course information is reproduced from each university's published academic catalog for informational purposes and may change. Always confirm current requirements with your university. We are an independent academic support service and are not affiliated with or endorsed by the universities listed.
Expert guides on essay writing, citation styles, study skills, and academic success.
View All Articles
Learn how to write a good research question for a paper. Narrow your topic, identify a research problem, and create a focused question with practical examples.
Learn how to choose a research topic you can actually research. Discover how to narrow broad ideas, find reliable sources, and develop a focused research question.
Learn how to cite sources in a research paper using APA, MLA, and Chicago styles, with in-text citation examples and reference-list tips.