Daniel Kane CSE 101 introduces students to foundational computer science concepts through a structured, beginner-friendly curriculum. This course, taught by instructor Daniel Kane at the University of Washington, balances theory and practical coding exercises to build problem-solving confidence.
Designed for first-year undergraduates and career switchers, the class emphasizes algorithmic thinking, Python programming, and collaborative workflows. The resources below highlight key course components, grading policies, and study strategies to help learners navigate the journey successfully.
| Aspect | Details | Impact | Resources |
|---|---|---|---|
| Instructor | Daniel Kane | Clear expectations and active support | Office hours, recorded lectures |
| Course Code | CSE 101 | Introductory credit toward degree | Schedule, syllabus |
| Language | Python | Readable syntax for beginners | Practice problems, autograder |
| Assessments | Weekly quizzes, labs, exams | Formative feedback, summative grades | Past exams, solution guides |
Understanding Course Structure
Weekly Topics and Milestones
The course follows a week-by-week progression, starting with basic programming constructs and moving toward recursion and simple data structures. Each module includes lecture notes, coding drills, and a checkpoint quiz to reinforce key ideas.
Lab Format and Collaboration Rules
Lab sessions emphasize hands-on problem solving, often in pairs, within clearly defined collaboration boundaries. Students practice reading, debugging, and writing small programs under time constraints that mirror real development workflows.
Core Programming Skills
Control Flow and Functions
Students master conditionals, loops, and function design, learning to break down tasks into reusable components. Early exercises focus on correctness and testing before scaling to larger projects.
Debugging and Testing Strategies
Systematic debugging using print statements, assertions, and small test cases helps students isolate issues efficiently. The course introduces unit testing concepts to build confidence in program behavior.
Academic Policies and Expectations
Grading Components
Final grades combine lab scores, quizzes, participation, and exams, with clear rubrics published at the start of the term. Late policies and regrade procedures are outlined in the syllabus to manage student responsibilities.
Code Integrity and Collaboration
Students must adhere to strict academic integrity standards, including proper attribution and solo work where required. Violations trigger documented consequences that affect academic standing.
Study Resources and Exam Prep
Practice Materials
Past exams, solution walkthroughs, and online practice sets allow students to gauge readiness and close skill gaps. Consistent review of error logs turns mistakes into actionable improvement steps.
Office Hours and Peer Learning
Regular attendance at office hours provides targeted help on specific code bugs and conceptual hurdles. Peer study groups encourage discussion of problem-solving strategies while respecting individual accountability.
Planning Your CSE Journey
- Review the syllabus and key dates before registration to align with your schedule.
- Attend the first lecture and office hours to build rapport with staff and peers.
- Complete practice problems weekly to reinforce lecture material.
- Track your progress using checkpoint results and adjust study strategies promptly.
- Follow collaboration rules carefully to maintain academic integrity.
- Leverage provided resources, including slides, recordings, and discussion forums.
- Prepare for exams with timed practice sets and targeted review of weak areas.
FAQ
Reader questions
What prior programming experience is needed for CSE 101?
No prior programming experience is required, but comfort with basic math concepts and logical reasoning helps students adapt more quickly to the course pace.
How are lab submissions handled in this course?
Labs are typically submitted online through the course autograder, with checks for correctness, style, and adherence to collaboration policies.
Can I regrade exams if I disagree with the scoring?
Yes, regrade requests must be submitted within a short window using the official form, focusing on potential grading errors rather than re-arguing policy decisions.
What should I do if I fall behind in lectures or labs?
Students should reach out early to the instructor or teaching staff, use available tutoring resources, and adjust study time to address difficult topics before they cascade.