CHBE 594

Fall 2023 All Classes

All Classes

Credit: 1 TO 4 hours.

Various advanced topics; generally taken during the second year of graduate study. Typical topics include turbulence, hydrodynamic instability, process dynamics, interfacial phenomena, reactor design, cellular bioengineering, properties of matter at high pressure, and phase transitions.

May be repeated. Prerequisite: Consent of instructor.

CHBE 594 class schedule data for fall 2023
CRN Type Section Time Day Location Instructor Section Details
31572
Lecture
ASK
12:30PM -1:50PM
TR
161 Noyes Laboratory
Kuenstler, A
Part of Term:
1
Date Range:
08/21/23-12/06/23
Credit:
4 hours
Section Title:
Polymer Synthesis
Section Info:
Meets with CHBE 455. Explores the fundamentals of polymer production by providing a broad overview of several topics within the field. Students will gain an appreciation of the relationships between polymer composition, synthesis, and processing, all of which ultimately determine bulk polymer properties.
Restriction(s):
Restricted to Graduate - Urbana-Champaign.
40683
Lecture
BAH
9:00AM -9:50AM
MWF
161 Noyes Laboratory
Harley, B
Timmer, K
Part of Term:
1
Date Range:
08/21/23-12/06/23
Credit:
4 hours
Section Title:
Tissue Engineering
Section Info:
Meets with CHBE 475 Tissue Engineering
Restriction(s):
Restricted to Graduate - Urbana-Champaign.
78577
Lecture
DL2
9:30AM -10:50AM
TR
163 Noyes Laboratory
Leckband, D
Part of Term:
1
Date Range:
08/21/23-12/06/23
Credit:
4 hours
Section Title:
Colloids and Surfaces
Section Info:
This course will cover the physical chemical principles of colloidal interactions and interfacial forces, with an emphasis on applications in biotechnology and the clinic.
Restriction(s):
Restricted to Graduate - Urbana-Champaign.
77152
Lecture
DS
12:30PM -1:50PM
TR
165 Noyes Laboratory
Jackson, N
Verma, A
Part of Term:
1
Date Range:
08/21/23-12/06/23
Credit:
4 hours
Section Title:
Chemical Data Science & Engrg
Section Info:
Meets with CHBE 494 DS/CHEM 492. This course serves as an introduction to data-driven and machine learning techniques in chemistry and chemical engineering. Surveyed topics will include standard regression and classification algorithms, neural network architectures, unsupervised learning, clustering, molecular featurization techniques and best practices for machine learning. The course serves as a practical introduction to these techniques in Python using existing chemical datasets.
Restriction(s):
Restricted to Graduate - Urbana-Champaign.
71538
Lecture
HJK
11:00AM -12:20PM
TR
1024 Chemistry Annex
Ding, S
Kong, H
Part of Term:
1
Date Range:
08/21/23-12/06/23
Credit:
4 hours
Section Title:
Biotransport
Section Info:
Biotransport. Meets with CHBE 476.
Restriction(s):
Restricted to Graduate - Urbana-Champaign.
31609
Lecture
RGM
11:00AM -12:20PM
TR
209 Huff Hall
Mullen, R
Part of Term:
1
Date Range:
08/21/23-12/06/23
Credit:
4 hours
Section Title:
Computational Tools
Section Info:
Meets with CHBE 412. An introduction to computational tools in Python to solve problems in chemical engineering. Methods for solving nonlinear and differential equations, plotting/animation, optimization, and data modeling are discussed.
Restriction(s):
Restricted to Graduate - Urbana-Champaign.
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