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Doctoral Experiential Component
The Doctoral Experiential Component is an advanced placement providing applied experiences within a student's concentration area.
Summary
What you’ll be able to do
Demonstrate advanced synthesis of knowledge gained in a chosen area including research, policy, leadership, administration, entrepreneurshp, program development or advocacy through successful achieving of individually customized learning goals.
Model professional and leadership skills needed to work with multiple stakeholders successfully
Communicate effectively with others in a professional setting: a. Interact effectively with clients, colleagues, other professionals, and community members from diverse cultural and ethnic backgrounds on a one-on-one basis and within the context of groups and b. Communicate effectively with varied audiences for varied purposes
Complete a Capstone Project connected to the DEC site which meets both the site needs as well as the student learning goals
Source: UW Guide
Grade history
↗No recorded grade history.
All recorded terms · compare terms & instructors
Prerequisites
Course mapOCC THER 664
This is a best-effort interpretation; check the catalog requirements above.
Prerequisite text tree
Professors
Spring 2027Historical instructors & teaching patterns
DANIEL RORTVEDT is recorded teaching in Spring 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 | Online Only | 0 / 33 | 0 |
Times are Central. Select a meeting for details; export includes recorded dates for the selected sections. Enrollment reflects scan time.
Meeting source records
No records available.
Student experience
the class
An advanced placement that provides an opportunity for applied experiences within their concentration area.
difficulty & workload
No workload feedback recorded.
Topics
- Applied experiences within a specific concentration area.
- Research, policy, leadership, administration, entrepreneurship, program development, or advocacy.
- Capstone Project connected to the Doctoral Experiential Component (DEC) site.
Skills
- Advanced synthesis of knowledge in areas such as research, policy, leadership, administration, entrepreneurship, program development, or advocacy.
- Professional and leadership skills for working with multiple stakeholders.
- Effective communication with diverse clients, colleagues, professionals, and community members in one-on-one and group contexts.
- Completing a Capstone Project connected to the DEC site that meets site and student learning goals.
Grades
Grade distribution · % of letter grades
No grades available yet.
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
Doctoral Experiential Component
Recorded 2026-10-14Raw records
[
{
"run_id": "20261014T203208-0851c9a1",
"semester": "1274",
"observed_at": "2026-10-14 17:50:09.728220+00:00",
"offering_id": "1274:695:025814",
"course_id": "OCCTHER 883",
"course_uid": "course_a564d04d4a78bd20004eb33a",
"term_id": "1274",
"source_course_id": "025814",
"source_subject_id": "695",
"title": "Doctoral Experiential Component",
"credits_min": 6,
"credits_max": 6,
"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": "7687b4aaef0e5a58b6eebe9eace091baa81fb18ec488ee91794db18ac09c6767",
"requirements_status": "valid",
"dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
"observed_at": "2026-10-14 17:50:09.728220+00:00"
}