2024 Spring CIVENG 295 001 LEC 001

Spring 2024

CIVENG 295 001 - LEC 001

Data Science for Energy

Daniel Brian Arnold

Jan 16, 2024 - May 03, 2024
Mo, We, Fr
03:00 pm - 03:59 pm
Class #:29725
Units:3

Instruction Mode: In-Person Instruction

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.

Textbook Lookup

Guide to Open, Free, & Affordable Course Materials

eTextbooks

Associated Sections

None