Overview
This 12-week course focuses on advanced algorithm design, recursion, and data structures in Python. Students will develop computational thinking, learn to write efficient code, and master problem-solving strategies for A Level Paper 2. Through hands-on coding, algorithm analysis, and exam-style practice, learners will gain the confidence and skills needed for top grades.
12-Week Course
This 12-week A Level course deepens understanding of algorithms, programming and exam technique, with discussion and problem-solving in a small group.
Effective rate: £55
- Max group of 5 students
- Full A Level specification coverage
- Focus on problem-solving and exam skills
- Topic papers, revision resources and reviews
- Ongoing feedback and progress tracking
Detailed Week-by-Week Outline
Learning Objective: Apply decomposition, abstraction, and algorithmic logic to problem-solving.
Activities: Break down complex problems, practise abstraction, and design algorithms using structured approaches.
Learning Objective: Create flowcharts and pseudocode for real-world scenarios.
Activities: Develop flowcharts for multi-step processes, write pseudocode for algorithmic tasks.
Learning Objective: Review data types, variables, constants, and basic I/O.
Activities: Practise Python syntax, implement input/output operations, and explore constants vs variables.
Learning Objective: Write programs using conditional and iterative logic.
Activities: Implement IF/ELIF/ELSE statements, write FOR and WHILE loops for repetitive tasks.
Learning Objective: Implement arrays, lists, and dictionaries in Python.
Activities: Create and manipulate lists and dictionaries, apply slicing and nested structures.
Learning Objective: Work with stacks, queues, and linked lists.
Activities: Implement stack and queue operations, introduce linked list concepts with Python examples.
Learning Objective: Understand and apply recursive algorithms with base cases.
Activities: Write recursive functions for factorial, Fibonacci, and search problems.
Learning Objective: Implement and compare bubble, merge, and binary search algorithms.
Activities: Code sorting algorithms, analyse efficiency, and compare iterative vs recursive approaches.
Learning Objective: Create classes and objects; understand inheritance and encapsulation.
Activities: Build Python classes, apply inheritance, and demonstrate encapsulation principles.
Learning Objective: Measure complexity and efficiency using Big O notation.
Activities: Calculate time complexity for algorithms, compare performance of different approaches.
Learning Objective: Apply test tables, tracing, and validation.
Activities: Debug faulty code, create test cases, and apply systematic validation techniques.
Learning Objective: Attempt a full mock Paper 2 and receive examiner-style feedback.
Activities: Complete a timed mock exam, review answers against mark schemes, and create improvement plan.
Outcome
Students master algorithmic problem-solving, programming in Python, and writing efficient code for exams and real-world applications. By the end of the course, learners will confidently design, implement, and analyse algorithms while applying best practices in programming.
Key Benefits:
- Comprehensive coverage of A Level Paper 2 topics
- Hands-on coding experience with advanced algorithms
- Exam-focused approach with timed practice and feedback
- Confidence in solving complex programming challenges
Ready to master algorithms and programming for A Level success? Enrol now for guaranteed progress!
