Spring 2023
MECENG 292B 001 - LEC 001
Advanced Special Topics in Controls
Advanced Statistics and Data Science for Engineers
Gabriel Gomes
Class #:33440
Units: 4
Instruction Mode:
In-Person Instruction
Offered through
Mechanical Engineering
Current Enrollment
Total Open Seats:
0
Enrolled: 58
Waitlisted: 0
Capacity: 58
Waitlist Max: 10
Open Reserved Seats:
4 reserved for Master of Engineering in Mechanical Engineering Students
Hours & Workload
2 to 8 hours of outside work hours per week, and 1 to 4 hours of instructor presentation of course materials per week.
Final Exam
WED, MAY 10TH
11:30 am - 02:30 pm
Hearst Mining 390
Other classes by Gabriel Gomes
Course Catalog Description
This series covers current topics of research interest in controls. The course content may vary semester to semester. Check with the department for current term topics.
Class Description
"Please note, this is a course in data science and machine learning, not controls."
This course provides a foundation in data science with emphasis on the application of statistics and machine learning to engineering problems. The course combines theoretical topics in probability and statistical inference with practical methods for solving problems in code. Each topic is demonstrated with examples from engineering. These include hypothesis testing, principal component analysis, clustering, linear regression, time series analysis, classification, and deep learning. Math 53 and 54 are recommended before Engin 178, Math 53 and 54 are allowed concurrently.
Class Notes
The REQUIRED 2 hour lab sections will be held in room 1109 Etcheverry Hall on the following day/times:
Tue. 1 - 3 pm
Tue. 3 - 5 pm
Thu. 3 - 5 pm
Fri. 4 - 6 pm
Tue. 1 - 3 pm
Tue. 3 - 5 pm
Thu. 3 - 5 pm
Fri. 4 - 6 pm
Rules & Requirements
Repeat Rules
Reserved Seats
Current Enrollment
Open Reserved Seats:
4 reserved for Master of Engineering in Mechanical Engineering Students
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