STA 4157: Exp Desg for Machine Learning at Baruch College
3 credits · Spring 2027
Exp Desg for Machine Learning (STA 4157) at Baruch College has 1 way to take it in Spring 2027. 1 of 1 section has an open seat right now.
The professor is: Youngdeok Hwang.
Compare them below, check the days and times, and add the course to your schedule.
Requirements
Prereq: [STA 2000 or (ENV/BIO/PSY 2100 & ZKDS student group)] and (STA 3000 or CIS 2300 or MTH 3300)
About this course
This course is designed to provide students with an understanding of the principles, methods, and practice of designing and analyzing experiments (A/B testing) to explore causality. The course will cover topics such as finding reference distribution, principles of designs, factorial designs, blocking and randomization. Students will be exposed to practical applications of experimental design using real-world datasets, the course will equip them with tools they can leverage to make decisions in real-world settings.
Professors for STA 4157 at Baruch, Spring 2027
- Youngdeok HwangChill Rank 4 of 5: Busy?
1 section · 1 open · ★ 3.9 (27) · difficulty 3.9/5 · 78% would take again
Ordered chillest first. A Chill Rank compares a professor with other CUNY professors on Rate My Professors difficulty, rating and would-take-again; it needs at least 3 ratings. How it works
STA 4157 sections, times and seats
Seat status as of Oct 4, 11:57 PM ET. Seats can change between refreshes. How fresh is this?
Chill Rank compares professors using Rate My Professors reviews, from Chill to Brutal. What each rank means
Questions about STA 4157 at Baruch
- Who teaches STA 4157 at Baruch in Spring 2027?
- Youngdeok Hwang is listed for Spring 2027. Each name links to a page with their Chill Rank and Rate My Professors numbers.
- Is STA 4157 at Baruch hard?
- It depends on the professor. Across the 1 professor with a Chill Rank, students on Rate My Professors give an average difficulty of 3.9 out of 5. The Chill Rank above compares them directly.
- What if a STA 4157 section is full?
- Try another section, join the waitlist in CUNYfirst if there is one, or ask the department. You can also watch a full section and get an email when a seat opens; you still enroll yourself in CUNYfirst.