Global Arc

A quantitative study of the principles of process dynamics and control. Dynamic behavior of chemical process elements; analysis and synthesis of linear feedback control systems with special emphasis on frequency response techniques and scalar systems. Two lectures. Prerequisite: MAE 305, which may be taken concurrently.

Introduction to engineering metabolism. The objective of this course is to introduce students to current techniques and challenges within the field of metabolic engineering. Specific topics include introduction to metabolism, transcriptional regulation, signal transduction, flux balance analysis, and metabolic flux analysis. Designed for upper division students in engineering, chemistry, and molecular biology. Two lectures. Prerequisites: MOL 214 or equivalent.

A one semester study of an important problem or topic in chemical and biological engineering. Projects may be experimental, computational, or theoretical. Topics selected by the students from suggestions by the faculty. Written report required. Departmental permission only.

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A one semester study of an important problem or topic in chemical and biological engineering. Projects may be experimental, computational, or theoretical. Topics selected by the students from suggestions by the faculty. Written report required. Departmental permission only.

A full year study of an important problem or topic in chemical and biological engineering culminating in a senior thesis. Projects may be experimental, computational, or theoretical. Topics selected by the students from suggestions by the faculty. Written thesis, poster presentation, and oral defense required. The senior thesis is recorded as a double course in the spring. Departmental permission required.

An experimental, computational, and theoretical study of an important problem or topic in chemical engineering. Topics selected by the students from suggestions by the faculty. Written thesis and oral defense required. The senior thesis is equivalent to a yearlong study and is recorded as a double course in the spring.

This course is an introduction to probability and statistical methods, and covers topics in probability, random variables, sampling, descriptive statistics, probability distributions, estimation and hypotheses testing, introduction to the regression model. The course emphasizes the practice, and students will learn how to perform data analysis using modern computational tools.

This course is an introduction to mathematical modeling in physical and social sciences. Topics covered include modeling via simple first and second order differential equations, fitting experimental data, optimization and an introduction to modeling probabilistic events. One substantial goal of the course is to learn MATLAB through homework, weekly group projects and an individual final project. Equal emphasis will be put on practical implementations of the models through MATLAB scripts and on theoretical underpinnings of the models.

An exploration of some of the mathematical ideas behind important modern applications, from banking and computing to listening to music. Intended for students who have not had college-level mathematics and are not planning to major in a mathematically based field. The course is organized in independent two-week modules focusing on particular applications, such as bar codes, CD-players, population models, and space flight. The emphasis is on ideas and mathematical reasoning, not on sophisticated mathematical techniques. Two 90-minute classes, one computer laboratory.