Current instructor

Jack Porter

/5Adjusted rating
/5RMP difficulty
captured reviews
About this rating

Raw average: 3.40/5 from 15 quality ratings. The adjusted rating blends this with the UW review average (3.66/5), weighted as 20 additional ratings. Smaller samples stay closer to that average. Each captured review is counted once in the prior; this does not correct who chooses to leave a review.

RMP profile ↗ · All captured review dates; profile matched by name.

What students say

Original student reviews · all captured dates

310 · course not matched
Quality 1/5Difficulty 4/5
confusing and boring lecture
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ECON 310
Quality 3/5Difficulty 4/5
I thought Jack did a good job, considering the difficulty of the material. midterm is challenging but fair if you study from the problem sets. The final was extremely hard. Having a good TA is crucial, especially for the 2nd half. Know going in that there are only 3 grades: problem sets 25% (8 of them, drops worst), midterm 30% & final 45%.
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310 · course not matched
Quality 3/5Difficulty 4/5
Professor Porter can be confusing at times. Some of his lectures seem very repetitive while some are hard to follow along. He is interested in the pure math behind statistics so it can be tough to stay interested if that isn't your goal.
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310 · course not matched
Quality 2/5Difficulty 5/5
Pray that you have a good ta or be an amazing independent student. He is the worst professor I have had on campus. His tests mention things he spent less than 3 minutes on per lecture. 45% of your grade is the final. He should not being teaching a required course.
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Personal experiences, not a representative survey. Profile matching and captured coverage are shown in the source details.

Classes with Jack Porter

ECONOMETRICS I covers econometric methods, theory, and applications including linear regression and hypothesis testing.

Offering recorded · Fall 2026

Recent recorded grades — Spring 2023: 3.59 GPA, 82.4% A/AB (n=17 letter grades); Fall 2024: 3.54 GPA, 71.2% A/AB (n=73 letter grades); Fall 2025: 3.45 GPA, 61.8% A/AB (n=55 letter grades). Includes jointly taught sections.

historical GPA · grades

Spring 2022–Spring 2026

Introduction to economic statistics and econometrics, covering probability, inference, and regression.

Offering recorded · Fall 2026

Recent recorded grades — Fall 2023: 3.50 GPA, 64.5% A/AB (n=62 letter grades); Fall 2024: 3.48 GPA, 69.4% A/AB (n=72 letter grades); Fall 2025: 3.56 GPA, 71.2% A/AB (n=59 letter grades). Includes jointly taught sections.

historical GPA · grades

Fall 2022–Fall 2025

ECON 726 teaches the application of machine learning techniques to economic research, focusing on causal inference and policy estimation.

Offering recorded · Fall 2026

Recent recorded grades — Fall 2025: 4.00 GPA, 100.0% A/AB (n=8 letter grades). Includes jointly taught sections.

historical GPA · grades

Fall 2025–Fall 2025 · limited sample

Recorded teaching history

Explore courses taught by this instructor →
Browse recorded courses
TermCourseTitle
Fall 2026ECON 704Econometrics I
Fall 2026ECON 709Economic Statistics and Econometrics I
Fall 2026ECON 726Applications of Machine Learning in Economics

Teaching history may be incomplete. Course pages contain course-specific feedback and citations.

Instructor identity & provenance
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