Course Objectives
Four measurable learning outcomes aligned with the Revised Bloom's Taxonomy and the Program Level Outcomes for the Entrepreneurship AAS.
Standard framework (required preamble)
Topics address recently identified current events, skills, knowledge, and/or attitudes and behaviors pertinent to the technology or occupation and relevant to the professional development of the student. This course was designed to be repeated multiple times to improve student proficiency.
By the end of this course, students will be able to:
Objective 1 — Analyze
Analyze the competitive landscape of a chosen industry by directing AI agents to gather, synthesize, and evaluate market intelligence — distinguishing AI-generated insight from AI-generated noise.
Bloom's level: Analyze · Measurement: Industry analysis deliverable graded against a competitive intelligence rubric.
Objective 2 — Create & Evaluate
Create a primary market research study that evaluates the likelihood of success for a proposed company or product launch, using AI-supported data collection and analytical frameworks.
Bloom's level: Create + Evaluate · Measurement: Market research study with go/no-go recommendation, defended in a recorded presentation.
Objective 3 — Construct
Construct a complete business plan and go-to-market strategy executed through a managed AI workforce, including organizational design, financial projections, and a defined customer acquisition path.
Bloom's level: Create · Measurement: Business plan + GTM strategy delivered, with AI workforce documentation showing role assignments and quality controls.
Objective 4 — Evaluate & Justify
Evaluate the performance of an AI-managed business operation against measurable benchmarks, and justify decisions where human judgment was required to override or redirect AI output.
Bloom's level: Evaluate · Measurement: Final performance review with documented override decisions and post-mortem analysis.
How these objectives map upward
Each objective is designed to directly support the WECM course description and the Program Level Outcomes for the Entrepreneurship AAS.
WECM alignment. Each objective addresses a "current event, skill, or knowledge" identified as essential to the modern business workforce — the management of AI tools and agents. The objectives are repeatable as the AI landscape evolves, supporting the WECM intent that Special Topics courses can be repeated for proficiency.
Program Level Outcome alignment. The objectives map to the Entrepreneurship AAS outcomes around opportunity identification (Obj. 1, 2), business plan creation (Obj. 3), and operational management with measurable performance (Obj. 4).
Bloom's Taxonomy alignment. The objectives span the upper four levels of the Revised Bloom's Taxonomy — Analyze, Evaluate, Create — using verbs that produce measurable, gradable artifacts rather than abstract knowledge claims.