Course Description Quality Assessment
Overview
Course Title: AP Computer Science (Python Version) Assessment Date: 2026-02-11 Quality Score: 100/100
Scoring Breakdown
| Element | Points | Max | Assessment |
|---|---|---|---|
| Title | 5 | 5 | "AP Computer Science (Python Version)" - clear and descriptive |
| Target Audience | 5 | 5 | Specific: grades 10-12, STEM students, university prep |
| Prerequisites | 5 | 5 | Listed: Algebra I, logical reasoning, computer literacy |
| Main Topics Covered | 10 | 10 | 10 detailed topic sections with sub-topics |
| Topics Excluded | 5 | 5 | Clear list of 10 excluded topics |
| Learning Outcomes Header | 5 | 5 | "Students will be able to:" present for all levels |
| Remember Level | 10 | 10 | 4 specific, actionable outcomes |
| Understand Level | 10 | 10 | 5 specific, actionable outcomes |
| Apply Level | 10 | 10 | 5 specific, actionable outcomes |
| Analyze Level | 10 | 10 | 5 specific, actionable outcomes |
| Evaluate Level | 10 | 10 | 5 specific, actionable outcomes |
| Create Level | 10 | 10 | 5 specific, actionable outcomes |
| Descriptive Context | 5 | 5 | College-level alignment context included |
| Total | 100 | 100 |
Strengths
- Comprehensive Bloom's Taxonomy coverage: All six levels (Remember through Create) have 4-5 specific, actionable outcomes each
- Clear audience specification: Well-defined target audience with specific grade levels and interests
- Thorough topic coverage: 10 major topic areas with detailed sub-topics provide excellent granularity
- Clear boundaries: Topics NOT covered section sets clear expectations
- College alignment context: Helps students understand the rigor and purpose of the course
- Estimated concept yield: 200+ concepts can easily be derived from this description
Concept Estimation
Based on the depth and breadth of topics covered:
- Computational Thinking: ~15 concepts
- Python Fundamentals: ~25 concepts
- Control Structures: ~20 concepts
- Functions and Modular Design: ~20 concepts
- Data Structures: ~25 concepts
- Object-Oriented Programming: ~30 concepts
- Algorithms: ~20 concepts
- Recursion: ~15 concepts
- File I/O: ~10 concepts
- Testing and Debugging: ~15 concepts
- Cross-cutting concepts (software engineering, best practices): ~5 concepts
Total estimated: ~200 concepts - excellent alignment with target
Comparison with Similar Courses
This course description is comparable to or exceeds the quality of typical AP CS A course descriptions. The Python-specific focus and detailed Bloom's Taxonomy outcomes are particularly strong.
Recommendation
Proceed with learning graph generation. This course description is excellent and provides more than sufficient content for generating 200 high-quality concepts.