Spring 2023
ENGIN 178 001 - LEC 001
Statistics and Data Science for Engineers
Gabriel Gomes
Class #:29350
Units: 4
Instruction Mode:
In-Person Instruction
Offered through
Engineering
Current Enrollment
Total Open Seats:
1
Enrolled: 87
Waitlisted: 0
Capacity: 88
Waitlist Max: 20
No Reserved Seats
Hours & Workload
3 hours of instructor presentation of course materials per week, 9 hours of outside work hours per week, and 2 hours of instructional experiences requiring special laboratory equipment and facilities 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 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.
Rules & Requirements
Credit Restrictions
Students will receive no credit for ENGIN 178 after completing ENGIN 78. A deficient grade in ENGIN 178 may be removed by taking ENGIN 78.
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