Spring 2024
CIVENG 295 001 - LEC 001
Data Science for Energy
Daniel Brian Arnold
Class #:29725
Units:3
Instruction Mode:
In-Person Instruction
Offered through
Civil and Environmental Engineering
Current Enrollment
Total Open Seats:
0
Enrolled: 80
Waitlisted: 0
Capacity: 80
Waitlist Max: 15
No Reserved Seats
Hours & Workload
3 hours of instructor presentation of course materials, and 6 hours of outside work hours.
Final Exam
WED, MAY 8TH
07:00 pm - 10:00 pm
Davis 502
Other classes by Daniel Brian Arnold
+ 1 Independent Study
Course Catalog Description
This course introduces students to the fundamentals of data science methods for the design and operation of energy systems. The course is oriented towards students pursuing a technical career in cleantech, or a PhD in the energy sciences and engineering. Course contents include: mathematical modeling & analysis, state estimation, optimization, machine learning, and optimal control. Homework assignments are designed around case studies, including lithium-ion batteries, oil & gas systems, renewable power systems, smart buildings, and electrified transportation. Student teams also execute a self-defined project.
Rules & Requirements
Repeat Rules
Course is not repeatable for credit.
Reserved Seats
Current Enrollment
No Reserved Seats
Textbooks & Materials
See class syllabus or https://calstudentstore.berkeley.edu/textbooks for the most current information.
Guide to Open, Free, & Affordable Course Materials
Associated Sections
None