STAT 304 teaches advanced R programming skills for statistics, including data manipulation, text extraction, and visualization.
One reviewer notes the course content was manageable due to prior job experience, though they earned an A.
All recorded terms · compare terms & instructors
Bo Yang is described as rude and unhelpful, with students reporting he flips out for no reason and fails to teach R skills. Reviewers advise avoiding him, citing his inability to teach effectively.
Recent recorded grades — Spring 2025: 3.76 GPA, 84.2% A/AB (n=57 letter grades); Fall 2025: 3.72 GPA, 80.6% A/AB (n=67 letter grades); Spring 2026: 3.77 GPA, 92.2% A/AB (n=64 letter grades). Includes jointly taught sections.
Recent recorded grades — Spring 2025: 3.76 GPA, 84.2% A/AB (n=57 letter grades); Fall 2025: 3.72 GPA, 80.6% A/AB (n=67 letter grades); Spring 2026: 3.77 GPA, 92.2% A/AB (n=64 letter grades). Includes jointly taught sections.
BO YANG is recorded teaching in Fall 2019, Spring 2020, Fall 2020, Fall 2021, Spring 2022, Fall 2022, Spring 2023, Fall 2023, Spring 2024, Fall 2024, Spring 2025, Fall 2025, Spring 2026. Recorded history may be incomplete and does not establish a future schedule.
ZHIFENG CHEN is recorded teaching in Fall 2024, Spring 2025, Fall 2025, Spring 2026. Recorded history may be incomplete and does not establish a future schedule.
Recorded history may be incomplete and does not establish a future schedule.
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| Section | Mode | Enrolled / capacity | Waitlist |
|---|---|---|---|
| LEC 003 | Online Only | 70 / 86 | 0 |
| LEC 004 | Online Only | 3 / 10 | 0 |
Times are Central. Select a meeting for details; export includes recorded dates for the selected sections. Enrollment reflects scan time.
No records available.
Bo Yang receives severe criticism for rudeness and poor teaching, with reviewers advising avoidance.
Recent recorded grades — Spring 2025: 3.76 GPA, 84.2% A/AB (n=57 letter grades); Fall 2025: 3.72 GPA, 80.6% A/AB (n=67 letter grades); Spring 2026: 3.77 GPA, 92.2% A/AB (n=64 letter grades).
One reviewer notes the course content was manageable due to prior job experience, though they earned an A.
Reviewers report that Bo Yang provides no support for gaining R skills and is difficult to interact with.
– average GPA
Approximate 80% prediction interval
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.
5 earlier forecasts · 0.07 GPA average error.
Through Fall 2026
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.
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.
Descriptions, prerequisites, and recorded course offerings.
Observations at scan time; dates do not imply when a catalog change took effect.
R for Statistics II
Recorded 2026-09-07[
{
"run_id": "20260907T155543-ce3781c4",
"semester": "1272",
"observed_at": "2026-09-07 15:55:43.033547+00:00",
"offering_id": "1272:932:025056",
"course_id": "STAT 304",
"course_uid": "course_2364ea4d92955fbad9988956",
"term_id": "1272",
"source_course_id": "025056",
"source_subject_id": "932",
"title": "R for Statistics II",
"credits_min": 1,
"credits_max": 1,
"typically_offered": "Fall, Spring"
}
]Original comments behind the course and instructor summaries.
Recorded grade distributions by term, section, and instructor.
Explore recorded gradesRecorded model configuration, reasoning, and tool conversations.
{
"model": "nvidia/Qwen3.6-35B-A3B-NVFP4",
"model_revision": "1355db6a052410cfd62085d94b58866fd0f2c3c5",
"task_version": "14",
"output_id": "5c158accfaf2d2dac38c790a4b4a05c5f2d0ff4a03bcdfdb9f916e6ebddecf8d",
"requirements_status": "valid",
"dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
"observed_at": "2026-09-07 15:55:43.033547+00:00"
}