Overview

Data Structures & Algorithms for Grade 12 computer science builds core thinking about how data is organized and how algorithms perform. This Lesson Bundle aligns to the General framework and includes 6 worksheet-style lessons that move from fundamental operations (hashing, stacks/queues, searching) to performance reasoning using growth rates and Big-O. Students practice analyzing trade-offs, explaining efficiency, and selecting appropriate approaches for realistic problems.

Across the unit, learners connect abstract structures to everyday scenarios like fast lookups in databases, routing and navigation using graphs, and buffering tasks in systems that must follow specific order rules.

With targeted practice worksheets, you can provide consistent, step-by-step coverage for a focused 1–3 week unit on algorithms and efficiency.

What's Included

• ✅ Hash Tables and Lookup Efficiency Worksheet Grade 12 Computer Science – Students analyze how hash tables support fast retrieval and explain what affects lookup efficiency.
• ✅ Trees and Graphs Traversals Worksheet | Grade 12 Computer Science – Students perform and interpret traversals, connecting structure to the path taken through data.
• ✅ Stacks and Queues LIFO vs FIFO Worksheet | Grade 12 Computer Science – Students compare LIFO and FIFO behaviors and predict outcomes for typical operations.
• ✅ Big-O Analysis Comparing Growth Rates Worksheet | Grade 12 Computer Science – Students compare growth rates and justify which algorithm scales better as inputs grow.
• ✅ Sorting Algorithms Worksheet | Grade 12 Computer Science Practice – Students practice sorting logic and connect algorithm behavior to performance patterns.
• ✅ Search Algorithms Worksheet Grade 12 Computer Science Activities – Students apply search strategies and explain how constraints impact correctness and efficiency.

Skills & Standards

Using the General framework, this bundle emphasizes disciplinary core ideas in computer science: representing data with appropriate structures, designing algorithms to solve problems, and evaluating efficiency with evidence. Students engage in modeling and analytical reasoning by working through common operations on hash tables, trees, graphs, stacks, queues, sorting methods, and search strategies. They practice using Big-O notation as a consistent language for explaining performance and comparing growth rates with clear, evidence-based explanations.

Throughout the worksheets, learners strengthen crosscutting habits of thinking such as:

• Reasoning from a scenario to an algorithm choice (why one structure or method fits better).
• Testing predictions about traversal order, stack/queue outcomes, and search paths.
• Communicating justification using comparisons (e.g., scaling behavior) rather than intuition.

For Grade 12 computer science, students also build the ability to translate between concrete steps (how operations unfold) and abstract evaluation (how efficiency changes as input size grows).

Perfect For

• Teachers seeking structured instruction
• Sub plans
• Homework or review
• Intervention or centers
• Assessment preparation

How to Use

Plan this unit for typical multi-day pacing of about 1–3 weeks, depending on your class schedule and whether students complete extension tasks. Use a consistent routine: start with a brief warm-up aligned to that lesson’s structure (hashing, traversal, order rules, sorting/search). Follow with guided practice where students complete key steps together, then assign the worksheet page(s) for independent work or small-group completion.

Consider using quick exit tickets that ask for one evidence-based claim (for example, “Which algorithm scales better and why?”). For end-of-unit review, revisit the Big-O comparison ideas and have students connect efficiency conclusions back to the original data-structure choices from earlier worksheets.

Closing

When students can explain both how an algorithm works and how it scales, Grade 12 computer science becomes a problem-solving toolkit they can apply to new challenges.