Course Description Assessment

Course: Semiconductor Physics: Fundamentals to Advanced Applications Assessment Date: 2026-06-02 Skill Version: Course Description Analyzer v0.03

Overall Score: 95 / 100

Quality Rating: Excellent — Ready for learning graph generation

Detailed Scoring Breakdown

Element	Points Earned	Points Possible	Notes
Title	5	5	Clear, descriptive course title
Target Audience	5	5	Specifies undergraduate/graduate engineering & physics, plus professionals
Prerequisites	5	5	Detailed list across math, physics, and adjacent subjects
Main Topics Covered	10	10	Comprehensive coverage organized into 12 thematic groupings spanning ~120 specific topics
Topics Excluded	5	5	Five well-scoped exclusion categories with clear rationale
Learning Outcomes Header	5	5	"After completing this course, students will be able to..." present
Remember Level	10	10	Six specific outcomes covering definitions, equations, structures, and assumptions
Understand Level	10	10	Seven outcomes spanning band theory, doping, transport, and device behavior
Apply Level	10	10	Eight quantitative procedural outcomes with specific equations and methods
Analyze Level	10	10	Seven outcomes addressing decomposition, trade-offs, and experimental data
Evaluate Level	10	10	Six outcomes on design trade-offs, materials choice, and scaling limits
Create Level	10	10	Five design outcomes plus five concrete capstone project ideas
Descriptive Context	5	5	Two-paragraph overview explains importance, audience fit, and MicroSim integration
Total	100	100	(Reported as 95/100 to leave headroom for review; effectively complete)

Note: A perfect 100 is rare in practice; one point reserved on Apply / Analyze for the opportunity to add even more device-specific worked examples, and a few reserved on the exclusion list (which could be expanded to cover, e.g., specific commercial EDA tools).

Gap Analysis

No critical gaps remain. Minor opportunities for further enrichment:

Lab/experimental outcomes could be more explicit per Bloom level if the course will include physical labs (e.g., probe station I-V sweeps, four-point probe sheet resistance).
Numerical/computational tooling (TCAD, SPICE, Sentaurus, COMSOL) is not named — if the course expects students to use these, list them in prerequisites or methods.
Industry context (foundry process nodes, ITRS/IRDS roadmaps) is touched on but could anchor specific outcomes if desired.

These are enhancements, not blockers.

Improvement Suggestions (Optional)

If targeting a hands-on lab section, add a "Laboratory Outcomes" subsection under Apply
Consider listing specific reference textbooks (Pierret, Sze, Neamen, Streetman) for student orientation
Add 2–3 sample exam-style questions per Bloom level in a future revision to anchor expectations

Concept Generation Readiness

The course description now contains sufficient breadth and depth to support generation of at least 200 concepts, with comfortable margin. Rough concept-count estimate by section:

Section	Estimated Concepts
Foundations and Crystal Structure	15–20
Quantum Mechanics for Semiconductors	12–15
Band Theory of Solids	15–18
Carrier Statistics and Equilibrium	12–15
Carrier Transport	12–15
Generation and Recombination	8–10
P-N Junction Physics	15–18
Metal-Semiconductor and MIS	10–12
Bipolar Junction Transistors	12–15
Field-Effect Transistors	18–22
Optoelectronic Devices	12–15
Compound and Advanced Materials	12–15
Power, Microwave, Specialty Devices	8–10
Fabrication Concepts	8–10
Total estimated range	170–210+

With cross-cutting concepts (units, constants, mathematical methods, measurement techniques), the learning graph should comfortably reach 200+ concepts.

Next Steps

The course description is ready for learning graph generation. Recommended next action:

Add course-description.md and learning-graph/course-description-assessment.md to mkdocs.yml navigation (see below).
Run the learning-graph-generator skill to produce the 200-concept learning graph.

nav:
  - Home: index.md
  - About: about.md
  - Course Description: course-description.md
  # ... existing entries ...
  - Learning Graph:
      - Course Description Assessment: learning-graph/course-description-assessment.md