Recent recorded grades — Fall 2024: 3.46 GPA, 64.9% A/AB (n=37 letter grades); Spring 2025: 3.48 GPA, 69.1% A/AB (n=55 letter grades); Spring 2026: 3.41 GPA, 65.0% A/AB (n=60 letter grades). Includes jointly taught sections.
Fall 2026
Transport Phenomena Lab
CBE 324 is a lab course focused on determining thermodynamic, transport, and transfer coefficients and studying related phenomena.
Recorded instructors · Fall 2026 Brendan Blackwell
Summary
1 / 6
Historical reviews of Katelyn Dahlke: Students report a high workload, particularly at the start, with strict formatting rules for plots and tables causing frustration.
Grade history
↗ average GPA
letter grades
letter grades
A
AB
B
BC
C
D
F
All recorded terms · compare terms & instructors
Prerequisites
Course mapCBE 310, (CBE 320 or concurrent registration), and STAT 324
“Used by” includes alternatives; linked courses may have other requirements. This is a best-effort interpretation; check the catalog requirements above.
Prerequisite text tree
Professors
Fall 2026Historical instructors & teaching patterns
Historical reviews of Eric Codner: Eric Codner's CBE 324 was easy and graded mainly on lab reports, with grades depending on the TA. He was helpful and responsive to student questions.
BRENDAN BLACKWELL is recorded teaching in Fall 2023, Spring 2024, Fall 2024, Spring 2025, Spring 2026. Recorded history may be incomplete and does not establish a future schedule.
ERIC CODNER is recorded teaching in Spring 2007, Fall 2007, Fall 2008, Fall 2009, Spring 2010, Fall 2010, Spring 2011, Fall 2011, Spring 2012, Fall 2012, Spring 2013, Fall 2013, Spring 2014, Fall 2014, Spring 2016, Fall 2016, Fall 2017, Fall 2018, Spring 2019, Fall 2019, Spring 2020, Fall 2020, Spring 2026. Recorded history may be incomplete and does not establish a future schedule.
KATELYN DAHLKE is recorded teaching in Fall 2021, Spring 2022, Fall 2022, Spring 2023, Fall 2023, Fall 2025. 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 |
|---|---|---|---|
| LAB 002 | Classroom Instruction | 16 / 16 | 0 |
| LAB 003 | Classroom Instruction | 9 / 16 | 0 |
| LAB 001 | Classroom Instruction | 8 / 16 | 0 |
| LAB 004 | Classroom Instruction | 10 / 16 | 0 |
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 of Katelyn Dahlke: Reviews for Katelyn Dahlke are polarized, with one praising her organization and clear grading while another criticizes harsh, inconsistent standards and high workload.
Recent recorded grades — Spring 2025: 3.48 GPA, 69.1% A/AB (n=55 letter grades); Fall 2025: 3.33 GPA, 52.8% A/AB (n=36 letter grades); Spring 2026: 3.41 GPA, 65.0% A/AB (n=60 letter grades).
difficulty & workload
Historical reviews of Katelyn Dahlke: Students report a high workload, particularly at the start, with strict formatting rules for plots and tables causing frustration.
Historical reviews note that final grades are highly dependent on the TA, with reports citing either helpful support or inconsistent, harsh evaluation criteria.
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 · 0.07 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
UW–Madison
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
Transport Phenomena Lab
Recorded 2026-09-07Raw records
[
{
"run_id": "20260907T155543-ce3781c4",
"semester": "1272",
"observed_at": "2026-09-07 15:55:43.033547+00:00",
"offering_id": "1272:220:002679",
"course_id": "CBE 324",
"course_uid": "course_5d45f4490cddf549930746ee",
"term_id": "1272",
"source_course_id": "002679",
"source_subject_id": "220",
"title": "Transport Phenomena Lab",
"credits_min": 3,
"credits_max": 3,
"typically_offered": "Fall, Spring"
}
]Rate My Professors
Student reviews
Original comments behind the course and instructor summaries.
Read original reviews
Madgrades
Grade history
Recorded grade distributions by term, section, and instructor.
Explore recorded gradesModel outputs & technical records
nvidia/Qwen3.6-35B-A3B-NVFP4
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": "555bd6418905aad4550099268ffa7fb61176afc5b39655fd03230b675d546fdf",
"requirements_status": "valid",
"dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
"observed_at": "2026-09-07 15:55:43.033547+00:00"
}