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Level 4 Diploma in Cyber Security

Debugging and testing implementations; review and practice problems

CYB404 · Algorithms and Data Structures — Week 11 of 16

CourseCYB404
Week11 of 16
SemesterII
TutorOnline in the course chat

This week’s topics

Debugging and testing implementations; review and practice problems

  1. Debugging implementations with ipdb
  2. Review and practice problems

What you will be able to do

  • 4.4 Use debugging to correct errors in algorithmic implementation.

Activity

Start with this week’s 4 videos, then: Seminar, guided reading and a short written task: use debugging to correct errors in algorithmic implementation.

Study materials

Videos

  • Testing and refining a programming project · Oak National Academy, Key Stage 4 (GCSE level) · for registered students
  • Syntax, Runtime and Logical Errors in Python · YouTube · Learn Learn Scratch Tutorials · 8 min · for registered students
  • Python Tutorial: Debugging logic errors by hand tracing your code · YouTube · Professor Hank Stalica · 14 min · for registered students
  • 31. OCR A Level (H046) SLR6 - 2.2 Test data & user feedback · YouTube · Craig'n'Dave · 13 min · for registered students

Further resources

  • Think Python, Appendix A: Debugging · PDF · Downey, Think Python 2e (Green Tea Press), Appendix A: syntax, runtime and semantic (logic) errors and how to find them, pp. 193–200 · for registered students
  • Python Notes for Professionals, ch. 103: Debugging · PDF · GoalKicker Python Notes for Professionals, ch. 103: using the pdb debugger and breakpoints, pp. 496–498 · for registered students
  • Introduction to Python Programming, 1.6: Error messages · PDF · OpenStax Introduction to Python Programming (2024), 1.6: reading Python error messages and tracebacks, pp. 23–26 · for registered students
  • 37 million compilations: investigating novice programming mistakes on large-scale student… · Open-access article · Altadmri & Brown (2015), SIGCSE '15, ACM. The most frequent novice errors from 37 million compilations. · for registered students
Materials marked “for registered students” open in the student portal, which is set up as soon as you receive final acceptance.
Course chat

Admitted students ask questions on this week’s page in the student portal: an AI assistant trained on the course answers first, and during the course’s timetabled classes Connect to your tutor brings your tutor into the chat, who may start a call if needed.

Open this week in the portal
Course plan
  • Week 1: Data structures: arrays, lists, stacks, queues, sets and di…
  • Week 2: Choosing data structures, with a Python refresher
  • Week 3: Measuring complexity: Big O notation
  • Week 4: Problem classes: computability and Turing machines, P and N…
  • Week 5: Recursion and memoisation (e.g. Tower of Hanoi); the memory…
  • Week 6: Algorithmic paradigms: divide and conquer, backtracking, gr…
  • Week 7: Sort, search and pathfinding algorithms compared by time an…
  • Midterm: Midterm evaluation
  • Week 9: Writing pseudocode as a universal template for algorithms
  • Week 10: Checking algorithms are correct: tracing, testing and timing
  • Week 11: Debugging and testing implementations; review and practice …
  • Week 12: Applying Algorithms and Data Structures in practice: case s…
  • Week 13: Assignment workshop: research, planning and referencing
  • Week 14: Assignment workshop: drafting, feedback and improvement
  • Week 15: Review and coursework completion
  • Final: Final assessment and submission
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