Spring 2025

BIOENG C142 001 - LEC 001

Formerly Bioengineering C142/Chemistry C142

Machine Learning, Statistical Models, and Optimization for Molecular Problems

Teresa Head-Gordon

Jan 21, 2025 - May 09, 2025

Tu, Th

05:00 pm - 06:29 pm

Tan 180

Class #:29499

Units: 4

Instruction Mode: In-Person Instruction

Offered through Bioengineering

Current Enrollment

Total Open Seats: 1

Enrolled: 24

Waitlisted: 0

Capacity: 25

Waitlist Max: 0

Open Reserved Seats:

3 reserved for Bioengineering or Joint Bioengineering/Materials Science Engineering Majors with 5 or more Terms in Attendance

Also offered as: CHEM C142

Hours & Workload

3 hours of instructor presentation of course materials per week, 9 hours of outside work hours per week, and 1 hours of the exchange of opinions or questions on course material per week.

Other classes by Teresa Head-Gordon

+ 3 Independent Study

An introduction to mathematical optimization, statistical models, and advances in machine learning for the physical sciences. Machine learning prerequisites are introduced including local and global optimization, various statistical and clustering models, and early meta-heuristic methods such as genetic algorithms and artificial neural networks. Building on this foundation, current machine learning techniques are covered including deep learning artificial neural networks, Convolutional neural networks, Recurrent and long short term memory (LSTM) networks, graph neural networks, decision trees.

Rules & Requirements

Credit Restrictions

Students will receive no credit for BIO ENG C142 after completing BIO ENG 142. A deficient grade in BIO ENG C142 may be removed by taking BIO ENG 142.