Data Structures & Algorithms
The core toolkit of computer science: arrays, linked lists, stacks, queues, trees, graphs, hashing, sorting, searching, and algorithm analysis with Big-O notation.
Difficulty
Easy
Popularity
62%
Past questions
3
Study tips
5
Key Topics
Exam Format & Dates
School-determined (typically semester finals in December and May/June)
Typically 1.5–2 hours per final exam
Percentage / letter grade (A–F)
70% = passing | 90%+ = A
| Section | Duration | Content | Weight |
|---|---|---|---|
| Midterm Exam | ~75 minutes | MCQ + short answer | 30% |
| Final Exam (cumulative) | ~2–3 hours | MCQ + problems/essays | 40% |
| Coursework / Projects | Ongoing | Assignments & quizzes | 30% |
Exam Breakdown & Insights
Difficulty · Manageable
Popularity score
Student Poll
1 votesHow tough is this class, really?
Tap an option to vote and see live results.
Study Tips
- 1
Define every key term precisely — many exam marks come from accurate use of subject terminology.
- 2
Apply concepts to real-world scenarios; application questions dominate modern exams.
- 3
Work through past papers under timed conditions — familiarity with question style is half the battle.
- 4
Review class notes within 24 hours of each lesson — quick review dramatically improves retention.
- 5
Use homework as diagnostic practice: redo any problem you got wrong until it feels easy.
Past Exam Questions
Define the key terms associated with Big-O Analysis and explain why they matter in this subject.
Apply the concept of Arrays & Linked Lists to a realistic scenario, explaining your reasoning step by step.
Evaluate the strengths and limitations of Stacks & Queues, using evidence to support a clear, balanced conclusion.
Common Mistakes to Avoid
- ✕
Never practicing under timed conditions before the real exam.
- ✕
Confusing similar key terms that examiners deliberately test against each other.
- ✕
Memorizing definitions without practicing application to scenarios.
Official Resources
Free, official study material for Data Structures & Algorithms — always start with the source your exam board publishes.
Ask Sage · your AI tutor
Ask anything about Data Structures & Algorithms — or upload your notes.
Ask anything, or attach your notes / past questions and I'll tutor you on them.