Introduction to the field of Energetics. Topics may include energy sources and production, energy usage, renewable technologies, hardware, operating principles, environmental impact, energy reserves, national and global energy budgets, historical perspectives, economics, societal considerations, and others.

Prerequisites: Senior Undergraduate or Graduate Student status in the College of Engineering; or consent of Instructor

3

Units

Letter

Grading

1, 2, 3

Passtime

Seniors only

Level Limit

Engineering

College
These majors only cheme cmpsc ece ee matrl me
MATTHYS E F
Eric Matthys
47 reviews
Lecture
ESB 1003
T R
14:00 PM - 15:15 PM
9 / 9 Full
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ME 112 Matthys E F Fall 2023 Total: 7
ME 112 Matthys E F Winter 2022 Total: 5
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ME112 . Matthys E F 8 Years Ago

AVOID THIS PROFESSOR!!! I'm a 4th year ME student at UCSB and Matthys is easily the worst professor I've had at UCSB. The hw and projects are vague and impractical. He is incredibly unhelpful to students' questions. His expectations are unrealistic and he enjoys belittling his students.

1 helpful 0 unhelpful
ME125EM . Matthys E F 8 Years Ago

Matthys is by far the worst professor I've had in 7 years of higher education. His homework assignments are 4 pages long to say nothing, unclear and his expectations are way too high.

1 helpful 1 unhelpful
ME151C . Matthys E F 10 Years Ago

Ok i got A- in ME 152B and got F in this class. Enough said.

1 helpful 0 unhelpful
ME151B . Matthys E F 10 Years Ago

This guy is the worst of the worst. Claims his quizzes are conceptual but makes you derive random equations. Refuses to address questions during quizzes and tests. Grading is nonsensical. I thought the HW and the book were actually pretty useful, but unfortunately the exams are completely different. Also makes you do weird feedback assignments. Ugh

0 helpful 0 unhelpful
ME 103
68 / 98 Enrolled
Fundamentals of Dynamical Systems Modeling
Francesco Bullo 4.0
M W
11:00 AM - 12:15 PM
ME 105
90 / 97 Enrolled
Mechanical Engineering Laboratory
Geoffrey Tsai 5.0
T R
12:30 PM - 13:45 PM
ME 107
85 / 97 Enrolled
Machine Learning
Enoch Yeung 4.6
T R
15:30 PM - 16:45 PM