Qualifying exam prep
Graduate · CS / Programming
Syllabus focus
Standard syllabus · STEM / applied
Pricing
Graduate-level rates are set on consultation. See the pricing page for K–12 and undergraduate rates.
Topics typically covered
Standard syllabus
Core areas review
- Algorithms: classic problems, reductions, and proof patterns
- Systems: OS, architecture, networking integrated questions
- Theory: automata, complexity, computability refresher
- Programming languages and compilers (survey per department)
- Linear algebra and probability for CS quals
Exam strategy
- Timed problem sets mirroring past qual formats
- Identifying weak areas from diagnostic exams
- Writing clear proof sketches under time pressure
- Oral exam preparation and whiteboard practice
- Department-specific rubrics and pass rates context
STEM / applied
Area depth options
- Machine learning theory and implementation questions
- Security/crypto problem drills
- HCI and graphics area samples (if offered)
- Systems research area: paper summaries and open problems
- Customized plan aligned to advisor research area
Study systems
- Weekly mock exams with peer grading
- Spaced repetition for definitions and theorems
- Curating a personal formula and theorem sheet
- Coordinating study groups and accountability
- Balancing qual prep with research responsibilities
Notes
Content is tailored to your department's qual syllabus; tutoring focuses on your program's historical topics.