Recent recorded grades — Spring 2025: 3.24 GPA, 51.8% A/AB (n=139 letter grades); Fall 2025: 3.15 GPA, 40.0% A/AB (n=130 letter grades); Spring 2026: 2.80 GPA, 34.9% A/AB (n=129 letter grades). Includes jointly taught sections.
Introduction to Theory and Methods of Mathematical Statistics I
Introduction to mathematical statistics covering probability, distributions, the central limit theorem, and estimation.
Summary
Historical reviews of Amy Beyler, Derek Bean, Yaoguo Xie: Workload and difficulty vary significantly by instructor. Some report high-quality materials and fair tests, while others describe difficult exams and a need for extensive self-study to gain solid knowledge.
Grade history
↗letter grades
All recorded terms · compare terms & instructors
Prerequisites
Course mapMATH 234, 376, or concurrent enrollment or graduate/professsional standing. Not open to students with credit forSTAT/MATH 309 or STAT/MATH 431
- MATH 234 · prior_or_concurrent
- MATH 376 · prior_or_concurrent
- graduate/professsional standing
- take one
“Used by” includes alternatives; linked courses may have other requirements. This is a best-effort interpretation; check the catalog requirements above.
Prerequisite text tree
- All of
- Any of
- MATH 234 · prior_or_concurrent
- MATH 376 · prior_or_concurrent
- graduate/professsional standing
- Not eligible with
- Any of
Professors
Fall 2026No course-specific feedback yet.
Recent recorded grades — Fall 2025: 3.20 GPA, 45.9% A/AB (n=61 letter grades). Includes jointly taught sections.
Recent recorded grades — Fall 2025: 3.09 GPA, 34.8% A/AB (n=69 letter grades); Spring 2026: 2.86 GPA, 37.7% A/AB (n=69 letter grades). Includes jointly taught sections.
Recent recorded grades — Spring 2023: 3.23 GPA, 58.5% A/AB (n=195 letter grades). Includes jointly taught sections.
Historical instructors & teaching patterns
No reviews exist for current instructors Alexander Van Abel, Caitlyn Yin, Haoqun Cao, Hui Chen, or Matthew Bloss. Historical reviews for past instructors like Derek Bean and Ismor Fischer highlight helpful office hours and clear grading, though exam difficulty varies significantly by term.
AMY BEYLER is recorded teaching in Fall 2021. Recorded history may be incomplete and does not establish a future schedule.
BRIAN POWERS is recorded teaching in Fall 2022. Recorded history may be incomplete and does not establish a future schedule.
CAITLYN YIN is recorded teaching in Fall 2025. Recorded history may be incomplete and does not establish a future schedule.
DEREK BEAN is recorded teaching in Fall 2018, Spring 2019, Fall 2023. Recorded history may be incomplete and does not establish a future schedule.
GONZALO CONTADOR is recorded teaching in Fall 2016, Spring 2017, Spring 2018, Fall 2018, Spring 2019. Recorded history may be incomplete and does not establish a future schedule.
HAOQUN CAO is recorded teaching in Fall 2025, Spring 2026. Recorded history may be incomplete and does not establish a future schedule.
HUI CHEN is recorded teaching in Spring 2023. Recorded history may be incomplete and does not establish a future schedule.
ISMOR FISCHER is recorded teaching in Fall 2015, Spring 2016, Spring 2017, Fall 2017, Spring 2018, Fall 2018, Spring 2019, Fall 2019, Spring 2020, Fall 2020. Recorded history may be incomplete and does not establish a future schedule.
JOSEP GINEBRA is recorded teaching in Fall 2010, Spring 2011. Recorded history may be incomplete and does not establish a future schedule.
KARL ROHE is recorded teaching in Fall 2011, Spring 2012, Fall 2012, Spring 2013, Spring 2014. Recorded history may be incomplete and does not establish a future schedule.
MATTHEW BLOSS is recorded teaching in Spring 2025, Fall 2025, Spring 2026. Recorded history may be incomplete and does not establish a future schedule.
NIMAL WICKREMASINGHE is recorded teaching in Spring 2024, Fall 2024. Recorded history may be incomplete and does not establish a future schedule.
PANDUAN AN is recorded teaching in Fall 2021, Spring 2022, Fall 2023. Recorded history may be incomplete and does not establish a future schedule.
RICHARD A. JOHNSON is recorded teaching in Spring 2007, Fall 2007. Recorded history may be incomplete and does not establish a future schedule.
YAOGUO XIE is recorded teaching in Fall 2014, Spring 2015, Fall 2015. Recorded history may be incomplete and does not establish a future schedule.
YAZHEN WANG is recorded teaching in Spring 2010. Recorded history may be incomplete and does not establish a future schedule.
Recorded history may be incomplete and does not establish a future schedule.
Calendar & sections
Fall 2026Schedule loads here as you scroll.
| Section | Mode | Enrolled / capacity | Waitlist |
|---|---|---|---|
| LEC 002 | Classroom Instruction | 69 / 72 | 1 |
| LEC 003 | Classroom Instruction | 70 / 72 | 4 |
| LEC 001 | Classroom Instruction | 69 / 72 | 4 |
Times are Central. Select a meeting for details; export includes recorded dates for the selected sections. Enrollment reflects scan time.
Meeting source records
Student experience
the class
Historical reviews highlight varied experiences, from detailed, supportive instruction to challenging exams. Some students found the course manageable with clear expectations, while others struggled with difficult assessments and self-directed learning.
Recent recorded grades — Spring 2025: 3.21 GPA, 49.0% A/AB (n=204 letter grades); Fall 2025: 3.18 GPA, 44.1% A/AB (n=195 letter grades); Spring 2026: 2.92 GPA, 37.4% A/AB (n=187 letter grades).
difficulty & workload
Historical reviews of Amy Beyler, Derek Bean, Yaoguo Xie: Workload and difficulty vary significantly by instructor. Some report high-quality materials and fair tests, while others describe difficult exams and a need for extensive self-study to gain solid knowledge.
Historical reviews of Derek Bean, Josep Ginebra, Nimal Wickremasinghe: Students value helpful office hours and patient instructors. However, accessibility issues like poor email response or lack of posted notes can frustrate learners, making attendance and self-study crucial.
Topics
Skills
Grades
Fall 2026 · Projected
Before grades are released– average GPA
Approximate 80% prediction interval
About this estimate
The course’s semester-average GPA, not an individual student’s grade. The center uses 5 same-season terms, weighted toward recent results.
The range uses the finite-sample 80th-percentile rank of absolute errors from earlier same-season forecasts. Each forecast uses only records from earlier terms. At least four forecasts are required; bounds are rounded outward and limited to 0–4. This is an empirical estimate: changing instructors or grading policies can reduce its coverage.
8 earlier forecasts · 0.35 GPA average error.
Grades over time
Through Fall 2026
More grade details Grade mix, volume & source data
Where this course fits relative to
Latest available grades · Spring 2026 · all course levels
GPA
Higher than % of other courses in this group.
Course GPAs · red marks this course’s range
letter grades
More recorded grades than % of other courses in this group.
Typical course in this group: letter grades.
About this comparison
1283 courses over the same term, each with at least 30 recorded letter grades. Cross-listed courses count once. GPA is not a measure of difficulty or teaching quality. The typical course is the median by recorded grade count; tied values are not counted as lower. Grade counts describe course scale, not unique students or typical section size.
Descriptions compare GPA with this group’s average: at least 0.20 higher or lower; otherwise close to average. Section size uses median recorded enrollment: small up to 30, mid-sized 31–99, large 100+. Lectures and discussion/lab sections are described separately.
Sources & history
Catalog & offerings
Descriptions, prerequisites, and recorded course offerings.
Catalog observation history
Observations at scan time; dates do not imply when a catalog change took effect.
Selected offering source records
Introduction to Theory and Methods of Mathematical Statistics I
Recorded 2026-09-07Raw records
[
{
"run_id": "20260907T155543-ce3781c4",
"semester": "1272",
"observed_at": "2026-09-07 15:55:43.033547+00:00",
"offering_id": "1272:932:018443",
"course_id": "STAT 311",
"course_uid": "course_1b76508145789f8fbc49d1fa",
"term_id": "1272",
"source_course_id": "018443",
"source_subject_id": "932",
"title": "Introduction to Theory and Methods of Mathematical Statistics I",
"credits_min": 3,
"credits_max": 3,
"typically_offered": "Fall, Spring"
}
]Student reviews
Original comments behind the course and instructor summaries.
Read original reviews
Grade history
Recorded grade distributions by term, section, and instructor.
Explore recorded gradesModel outputs & technical records
LLM outputs across runs
Full model traces
Recorded model configuration, reasoning, and tool conversations.
Model & dataset provenance
{
"model": "nvidia/Qwen3.6-35B-A3B-NVFP4",
"model_revision": "1355db6a052410cfd62085d94b58866fd0f2c3c5",
"task_version": "14",
"output_id": "9f2b1887e753198f2d09577f06509f4e7a6bc459f6062b1c95c7e73d06c6c112",
"requirements_status": "valid",
"dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
"observed_at": "2026-09-07 15:55:43.033547+00:00"
}