Recent recorded grades — Spring 2022: 4.00 GPA, 100.0% A/AB (n=3 letter grades); Spring 2023: 3.70 GPA, 80.0% A/AB (n=5 letter grades); Spring 2025: 3.90 GPA, 90.0% A/AB (n=10 letter grades).
Summative Research Internship
Summative Research Internship integrates core coursework with a real-world project or internship to synthesize skills for pharmaceutical science careers.
Summary
Recent recorded grades — Spring 2022: 4.00 GPA, 100.0% A/AB (n=3 letter grades); Spring 2023: 3.70 GPA, 80.0% A/AB (n=5 letter grades); Spring 2025: 3.90 GPA, 90.0% A/AB (n=10 letter grades).
What you’ll be able to do
Demonstrate critical knowledge and in-depth understanding of principles in pharmaceutical sciences and its application in drug development.
Identify important research questions, formulate testable hypotheses, design experiments to test those hypotheses and use appropriate statistical methods for analyzing data.
Conduct research that contributes to the student's field of study.
Communicate technical knowledge and research results effectively to a range of audiences.
Apply ethical principles in all work in both independent and collaborative settings.
Demonstrate comprehension of business principles and the ability to apply them to the pharmaceutical industry.
Source: UW Guide
Grade history
↗All recorded terms · compare terms & instructors
Prerequisites
Course mapDeclared in MS Pharmaceutical Sciences
- Declared in MS Pharmaceutical Sciences
This is a best-effort interpretation; check the catalog requirements above.
Prerequisite text tree
- Declared in MS Pharmaceutical Sciences
Professors
Spring 2027Historical instructors & teaching patterns
ERIC BUXTON is recorded teaching in Spring 2022, Spring 2023, Spring 2024, Fall 2024, Spring 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.
Calendar & sections
Spring 2027Schedule loads here as you scroll.
| Section | Mode | Enrolled / capacity | Waitlist |
|---|---|---|---|
| FLD 001 | Classroom Instruction | 0 / 25 | 0 |
| FLD 002 | Classroom Instruction | 0 / 15 | 0 |
| FLD 003 | Classroom Instruction | 0 / 10 | 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
Recent recorded grades — Spring 2022: 4.00 GPA, 100.0% A/AB (n=3 letter grades); Spring 2023: 3.70 GPA, 80.0% A/AB (n=5 letter grades); Spring 2025: 3.90 GPA, 90.0% A/AB (n=10 letter grades).
difficulty & workload
No workload feedback recorded.
Topics
- Pharmaceutical sciences and drug development
- Research ethics
Skills
- Research design and statistical analysis
- Technical communication
- Business application in pharma
Grades
Latest available · Spring 2025— not enough history to project Spring 2027.
Grade distribution · % of letter grades
Grades over time
Through Spring 2025
More grade details Grade mix, volume & source data
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
Summative Research Internship
Recorded 2026-10-14Raw records
[
{
"run_id": "20261014T203208-0851c9a1",
"semester": "1274",
"observed_at": "2026-10-14 17:50:09.728220+00:00",
"offering_id": "1274:718:025611",
"course_id": "PHMSCI 760",
"course_uid": "course_df8186618164e5e6eec0a3a3",
"term_id": "1274",
"source_course_id": "025611",
"source_subject_id": "718",
"title": "Summative Research Internship",
"credits_min": 2,
"credits_max": 4,
"typically_offered": "Not Applicable"
}
]Student reviews
Original comments behind the course and instructor summaries.
Read original reviews
No records available.
Grade history
Recorded grade distributions by term, section, and instructor.
Explore recorded gradesRecorded 2026-10-14
Model outputs & technical records
LLM outputs across runs
Full model traces
Recorded model configuration, reasoning, and tool conversations.
Model & dataset provenance
{
"model": "Qwen/Qwen3.8-27B",
"model_revision": "1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0",
"task_version": "17",
"output_id": "292eed8eca0ee35cb207a613b60c2dfe95fb8ebc8884ab5d79cebbf75b4648f0",
"requirements_status": "valid",
"dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
"observed_at": "2026-10-14 17:50:09.728220+00:00"
}