## CHEMENG 120B: Energy and Mass Transport

General diffusive transport, heat transport by conduction, Fourier's law, conduction in composites with analogies to electrical circuits, advection-diffusion equations, forced convection, boundary layer heat transport via forced convection in laminar flow, forced convection correlations, free convection, free convection boundary layers, free convection correlations and application to geophysical flows, melting and heat transfer at interfaces, radiation, diffusive transport of mass for dilute and non-dilute transfer, mass and heat transport analogies, mass transport with bulk chemical reaction, mass transport with interfacial chemical reaction, evaporation. Prerequisite
CHEMENG 120A or consent of instructor.

Terms: Spr
| Units: 4

Instructors:
Zia, R. (PI)
;
Hofmann, J. (TA)

## CHEMENG 130A: Microkinetics - Molecular Principles of Chemical Kinetics

This course will cover the basis of chemical kinetics that are used to design chemical processes and reactor design. Topics include: origin of rate expression in chemical reactions; experimental generation and analysis of kinetic data; relationship between kinetic and thermodynamic quantities; concepts of elementary steps and reaction orders; reactions in parallel and in sequence; branched reactions; collision theory and introduction to transition state theory; heterogeneous catalysis and surface reactions; enzymatic catalysis; applications of kinetics. Prerequisite
CHEMENG 110B or consent of instructor.

Terms: Spr
| Units: 3

Instructors:
Cargnello, M. (PI)
;
Vigil, J. (TA)

## CHEMENG 177: Data Science and Machine Learning Approaches in Chemical and Materials Engineering (CHEMENG 277, MATSCI 166, MATSCI 176)

Application of Data Science, Statistical Learning, and Machine Learning approaches to modern problems in Chemical and Materials Engineering. This course develops data science approaches, including their foundational mathematical and statistical basis, and applies these methods to data sets of limited size and precision. Methods for regression and clustering will be developed and applied, with an emphasis on validation and error quantification. Techniques that will be developed include linear and nonlinear regression, clustering and logistic regression, dimensionality reduction, unsupervised learning, neural networks, and hidden Markov models. These methods will be applied to a range of engineering problems, including conducting polymers, water purification membranes, battery materials, disease outcome prediction, genomic analysis, organic synthesis, and quality control in manufacturing. Prerequisites:
CS 106A or permission from instructor.

Terms: Spr
| Units: 3

## CHEMENG 185B: Chemical Engineering Laboratory B

This is the second course in a two-quarter sequence that focuses on critical thinking in experimental aspects of chemical engineering. Students will work in teams to prepare and revise project proposals with an emphasis on analyzing engineered systems to identify key unanswered questions. Students will develop and practice skills related to effective teamwork and communication. Due to COVID19 circumstances, all course activities will be held online. Prerequisite:
CHEMENG 185A.

Terms: Spr
| Units: 5

Instructors:
Abu-Remaileh, M. (PI)
;
Engel, A. (PI)
;
Hwang, L. (PI)
...
more instructors for CHEMENG 185B »

Instructors:
Abu-Remaileh, M. (PI)
;
Engel, A. (PI)
;
Hwang, L. (PI)
;
Cooper, C. (TA)
;
Gomez-Frittelli, J. (TA)
;
Shearer, A. (TA)

## CHEMENG 190: Undergraduate Research in Chemical Engineering

Laboratory or theoretical work for undergraduates under the supervision of a faculty member. Research in one of the graduate research groups or other special projects in the undergraduate chemical engineering lab. Students should consult advisers for information on available projects. Course may be repeated.

Terms: Aut, Win, Spr, Sum
| Units: 1-6
| Repeatable
for credit

Instructors:
Abu-Remaileh, M. (PI)
;
Bao, Z. (PI)
;
Bent, S. (PI)
...
more instructors for CHEMENG 190 »

Instructors:
Abu-Remaileh, M. (PI)
;
Bao, Z. (PI)
;
Bent, S. (PI)
;
Cargnello, M. (PI)
;
DeSimone, J. (PI)
;
Dunn, A. (PI)
;
Frank, C. (PI)
;
Fuller, G. (PI)
;
Gao, X. (PI)
;
Jaramillo, T. (PI)
;
Khosla, C. (PI)
;
Mai, D. (PI)
;
Myung, D. (PI)
;
Qin, J. (PI)
;
Robertson, C. (PI)
;
Sattely, E. (PI)
;
Shaqfeh, E. (PI)
;
Spakowitz, A. (PI)
;
Spormann, A. (PI)
;
Swartz, J. (PI)
;
Tarpeh, W. (PI)
;
Zia, R. (PI)

## CHEMENG 190H: Undergraduate Honors Research in Chemical Engineering

For Chemical Engineering majors pursuing a B.S. with Honors degree who have submitted an approved research proposal to the department. Unofficial transcript must document BSH status and at least 9 units of 190H research for a minimum of 3 quarters May be repeated for credit.

Terms: Aut, Win, Spr, Sum
| Units: 1-5
| Repeatable
for credit

Instructors:
Abu-Remaileh, M. (PI)
;
Bao, Z. (PI)
;
Bent, S. (PI)
...
more instructors for CHEMENG 190H »

Instructors:
Abu-Remaileh, M. (PI)
;
Bao, Z. (PI)
;
Bent, S. (PI)
;
Cargnello, M. (PI)
;
DeSimone, J. (PI)
;
Dunn, A. (PI)
;
Frank, C. (PI)
;
Fuller, G. (PI)
;
Gao, X. (PI)
;
Jaramillo, T. (PI)
;
Khosla, C. (PI)
;
Mai, D. (PI)
;
Myung, D. (PI)
;
Qin, J. (PI)
;
Robertson, C. (PI)
;
Sattely, E. (PI)
;
Shaqfeh, E. (PI)
;
Spakowitz, A. (PI)
;
Spormann, A. (PI)
;
Swartz, J. (PI)
;
Tarpeh, W. (PI)
;
Zia, R. (PI)

## CHEMENG 196: Creating and Leading New Ventures in Engineering and Science-based Industries (CHEM 196, CHEM 296, CHEMENG 296)

Open to seniors and graduate students interested in the creation of new ventures and entrepreneurship in engineering and science intensive industries such as chemical, energy, materials, bioengineering, environmental, clean-tech, pharmaceuticals, medical, and biotechnology. Exploration of the dynamics, complexity, and challenges that define creating new ventures, particularly in industries that require long development times, large investments, integration across a wide range of technical and non-technical disciplines, and the creation and protection of intellectual property. Covers business basics, opportunity viability, creating start-ups, entrepreneurial leadership, and entrepreneurship as a career. Teaching methods include lectures, case studies, guest speakers, and individual and team projects.

Terms: Spr
| Units: 3

## CHEMENG 277: Data Science and Machine Learning Approaches in Chemical and Materials Engineering (CHEMENG 177, MATSCI 166, MATSCI 176)

Application of Data Science, Statistical Learning, and Machine Learning approaches to modern problems in Chemical and Materials Engineering. This course develops data science approaches, including their foundational mathematical and statistical basis, and applies these methods to data sets of limited size and precision. Methods for regression and clustering will be developed and applied, with an emphasis on validation and error quantification. Techniques that will be developed include linear and nonlinear regression, clustering and logistic regression, dimensionality reduction, unsupervised learning, neural networks, and hidden Markov models. These methods will be applied to a range of engineering problems, including conducting polymers, water purification membranes, battery materials, disease outcome prediction, genomic analysis, organic synthesis, and quality control in manufacturing. Prerequisites:
CS 106A or permission from instructor.

Terms: Spr
| Units: 3

## CHEMENG 296: Creating and Leading New Ventures in Engineering and Science-based Industries (CHEM 196, CHEM 296, CHEMENG 196)

Open to seniors and graduate students interested in the creation of new ventures and entrepreneurship in engineering and science intensive industries such as chemical, energy, materials, bioengineering, environmental, clean-tech, pharmaceuticals, medical, and biotechnology. Exploration of the dynamics, complexity, and challenges that define creating new ventures, particularly in industries that require long development times, large investments, integration across a wide range of technical and non-technical disciplines, and the creation and protection of intellectual property. Covers business basics, opportunity viability, creating start-ups, entrepreneurial leadership, and entrepreneurship as a career. Teaching methods include lectures, case studies, guest speakers, and individual and team projects.

Terms: Spr
| Units: 3

Filter Results: