Current instructor
Original student reviews · all captured dates
Dr. Pac was overall very communicative, though his online lectures many times were just reading off of the slides without much in-depth coverage. A lot of studying on your own will be helpful, as well as truly completing the practice sets given. Overall since econ is a harder topic, it was not a super challenging class.Rate My Professors ↗
I have prior stats experience, so this was quite easy, but without it, I imagine it would be quite difficult. He prefers to spend more time talking about how we need to use AI instead of teaching. The slides seem to be quite vague, and often exam content differs from the kind of problems we actually did. TAs are great, though.Rate My Professors ↗
Do not take him as a professor. He DOES NOT care about his students at all and is completely u fair with grading. I missed an A in his class by 0.03% and he refused to round up or offer ANY more extra credit. This screwed up my gpa and academic future.Rate My Professors ↗
I have a prior stats background, so I found this class quite easy, but for those without, I can imagine it would be challenging when he spends more time talking about how we should use AI than teaching. It's disrespectful to those of us who actually use our brains. There was also very little explanation for some of the concepts taught.Rate My Professors ↗
Most of the information comes from the lecture slides. Econ 101 was an easy class, and he does make time for questions and answers questions well. Only small annoyance is that he says that the exams do not require a calculator, but if you do not bring a calculator you can get cooked on some questions losing about ~3-5% which isn't much but adds up.Rate My Professors ↗
Funny guy and he gives a good lecture that can be a little boring and put you to sleep. Lots of fun anecdotes.Rate My Professors ↗
Personal experiences, not a representative survey. Profile matching and captured coverage are shown in the source details.
ECON 310 introduces the analysis of economic data using descriptive statistics and statistical inference techniques like hypothesis testing and estimation.
Offering recorded · Fall 2026
Gregory Pac is described as kind, available, and helpful, with many extra credit opportunities and a generous curve. Reviewers appreciate his straightforward teaching and desire for student success, though some find his lectures boring or awkward.
historical GPA · grades
Spring 2022–Spring 2026ECON 315 teaches economic data visualization and analysis using Tableau to design dashboards and communicate research findings.
Offering recorded · Fall 2026
Gregory Pac is praised for his passion, engagement, and clear explanations, with students valuing the practical Tableau skills and his flexibility. Reviewers describe him as personable and caring, noting that his teaching style prepares students well for assignments.
historical GPA · grades
Spring 2022–Fall 2025ECON 691 is a Senior Thesis course focused on faculty-guided original research.
Offering recorded · Fall 2026
No recorded grade history
Teaching history may be incomplete. Course pages contain course-specific feedback and citations.
{
"instructor_uid": "instructor_37b4f83e228e58534f4227a9",
"source": "enrollment",
"source_instructor_id": "gpac",
"identity_basis": "netid",
"identity_status": "source_identified",
"name": "Gregory Pac",
"email": "GPAC@WISC.EDU",
"first_observed_at": "2026-09-07 15:55:43.033547+00:00",
"last_observed_at": "2026-09-07 15:55:43.033547+00:00",
"ratings": {
"review_count": 103,
"quality": 3.79,
"difficulty": 3.23,
"quality_count": 103,
"difficulty_count": 103,
"profile_id": "rmp:2583756",
"source_url": "https://www.ratemyprofessors.com/professor/2583756",
"match_basis": "exact_name",
"observed_at": "2026-09-07 16:37:55.459090+00:00",
"courses": {
"course_921b4908221d05cbad377045": {
"review_count": 40,
"quality": 4.38,
"difficulty": 3.12,
"quality_count": 40,
"difficulty_count": 40
},
"course_e104fb600738e5af6d58c4dd": {
"review_count": 55,
"quality": 3.38,
"difficulty": 3.38,
"quality_count": 55,
"difficulty_count": 55
},
"course_19b30424849182735425e4f5": {
"review_count": 7,
"quality": 3.43,
"difficulty": 2.57,
"quality_count": 7,
"difficulty_count": 7
},
"course_45144ea1ab61fccd3dc0a3f6": {
"review_count": 1,
"quality": 5,
"difficulty": 4,
"quality_count": 1,
"difficulty_count": 1
}
},
"bayesian_quality": 3.7688106965116415,
"prior_mean": 3.6596857835465957,
"prior_weight": 20
},
"current": true,
"courses": [
{
"course_uid": "course_19b30424849182735425e4f5",
"course_id": "ECON 315",
"title": "DATA VISUALIZATION FOR ECONOMISTS",
"credits_min": 3,
"credits_max": 4,
"gpa": 3.442
},
{
"course_uid": "course_bcf127bece535ba759aca40d",
"course_id": "ECON 691",
"title": "SENIOR THESIS",
"credits_min": 1,
"credits_max": 3,
"gpa": null
},
{
"course_uid": "course_e104fb600738e5af6d58c4dd",
"course_id": "ECON 310",
"title": "STATISTICS: MEASUREMENT IN ECONOMICS",
"credits_min": 4,
"credits_max": 4,
"gpa": 3.028
}
],
"revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
"instructor_url": "/instructors/GREGORY_PAC"
}