Spring 2025
MECENG 276DS 001 - LEC 001
Formerly Engineering 278
Statistics and Data Science for Engineers
Gabriel Gomes
Class #:29854
Units: 4
Instruction Mode:
In-Person Instruction
Offered through
Mechanical Engineering
Current Enrollment
Total Open Seats:
0
Enrolled: 39
Waitlisted: 0
Capacity: 39
Waitlist Max: 0
No Reserved Seats
Hours & Workload
2 hours of instructional experiences requiring special laboratory equipment and facilities per week, 3 hours of instructor presentation of course materials per week, and 9 hours of outside work hours per week.
Final Exam
WED, MAY 14TH
03:00 pm - 06:00 pm
Other classes by Gabriel Gomes
Course Catalog Description
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
Lecture time may change. Please treat the current time slot tentative for now.
Rules & Requirements
Credit Restrictions
Students will receive no credit for ENGIN 278 after completing ENGIN 178. A deficient grade in ENGIN 278 may be removed by taking ENGIN 178, or ENGIN 178.
Repeat Rules
Course is not repeatable for credit.
Reserved Seats
Reserved Seating For This Term
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