confusing and boring lectureRate My Professors ↗
Current instructor
Jack Porter
What students say
Original student reviews · all captured dates
Jack!! My favorite professor!! You will never feel bored in his lectures!Rate My Professors ↗
goodRate My Professors ↗
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%.Rate My Professors ↗
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.Rate My Professors ↗
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.Rate My Professors ↗
Personal experiences, not a representative survey. Profile matching and captured coverage are shown in the source details.
Classes with Jack Porter
Econometrics I
3 creditsECONOMETRICS 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 2026Introduction 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 2025ECON 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 sampleRecorded teaching history
Explore courses taught by this instructor →Browse recorded courses
Teaching history may be incomplete. Course pages contain course-specific feedback and citations.
Instructor identity & provenance
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