Computer-Science-A-level-Ocr
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3-3-networks8 主题
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3-2-databases7 主题
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3-1-compression-encryption-and-hashing4 主题
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2-5-object-oriented-languages7 主题
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2-4-types-of-programming-language4 主题
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2-3-software-development5 主题
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2-2-applications-generation6 主题
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2-1-systems-software8 主题
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1-3-input-output-and-storage2 主题
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1-2-types-of-processor3 主题
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1-1-structure-and-function-of-the-processor1 主题
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structuring-your-responses3 主题
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the-exam-papers2 主题
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8-2-algorithms-for-the-main-data-structures4 主题
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8-1-algorithms10 主题
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7-2-computational-methods11 主题
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7-1-programming-techniques14 主题
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capturing-selecting-managing-and-exchanging-data
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entity-relationship-diagrams
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data-normalisation
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relational-databases
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hashing
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symmetric-vs-asymmetric-encryption
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run-length-encoding-and-dictionary-coding
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lossy-and-lossless-compression
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polymorphism-oop
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encapsulation-oop
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inheritance-oop
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attributes-oop
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methods-oop
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objects-oop
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capturing-selecting-managing-and-exchanging-data
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6-5-thinking-concurrently2 主题
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6-4-thinking-logically2 主题
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6-3-thinking-procedurally3 主题
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6-2-thinking-ahead1 主题
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6-1-thinking-abstractly3 主题
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5-2-moral-and-ethical-issues9 主题
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5-1-computing-related-legislation4 主题
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4-3-boolean-algebra5 主题
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4-2-data-structures10 主题
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4-1-data-types9 主题
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3-4-web-technologies16 主题
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environmental-effects
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automated-decision-making
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computers-in-the-workforce
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layout-colour-paradigms-and-character-sets
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piracy-and-offensive-communications
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analysing-personal-information
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monitoring-behaviour
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censorship-and-the-internet
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artificial-intelligence
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the-regulation-of-investigatory-powers-act-2000
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the-copyright-design-and-patents-act-1988
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the-computer-misuse-act-1990
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the-data-protection-act-1998
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adder-circuits
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flip-flop-circuits
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simplifying-boolean-algebra
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environmental-effects
paper-2-guidance
What is examined in the OCR A Level Computer Science Paper 2?
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It focuses on computational thinking, problem-solving skills, and algorithm design, building upon the foundational knowledge gained in component 01 (Computer Systems)
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The content assessed in Paper 2 (Component 02) includes:
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Elements of computational thinking
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Problem solving and programming
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Algorithms
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The paper’s duration is 2 hours and 30 minutes
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The total number of marks available is 140
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Paper 2 represents 40% of the total A Level qualification
Assessment structure and questions:
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This is a written paper
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It consists of a mix of questions, including short answer, longer answer, and some higher tariff questions designed to test the quality of extended responses
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All questions are compulsory
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Calculators are not permitted in this examination
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The paper assesses Assessment Objectives (AO) AO1, AO2, and AO3:
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AO1 (Knowledge and Understanding): Demonstrating knowledge and understanding of principles and concepts
AO2 (Application): Applying knowledge and understanding to analyse problems in computational terms
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AO3 (Solution Provision): Designing, programming, and evaluating computer systems, making reasoned judgments, and presenting conclusions
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The paper is divided into two sections:
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Section A will contain questions covering writing algorithms and computational methods, programming, and programming techniques
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These may include shorter answer questions
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Section B will begin with a scenario that provides information for the questions that follow
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These questions will largely be of a higher tariff, with problem-solving algorithms and programming forming the basis
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Programming and algorithmic responses:
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Candidates will need to write answers in pseudocode
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When using pseudocode, learners are not expected to memorise the exact syntax shown in the syllabus guide, but their answers should be inferable by a competent programmer
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The general style for pseudocode will use keywords in lowercase (e.g., if, repeat, procedure), and identifiers in mixed case (e.g.,
NumberOfPlayers) -
Mathematical skills are embedded throughout the qualification and will be assessed in the written papers
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Synoptic assessment is included in this component, drawing together knowledge, understanding, and skills from different aspects of the A Level Computer Science course, especially building on Component 01
Key considerations for students:
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Develop strong computational thinking skills and practice applying them to problems
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Gain extensive practical experience in designing, writing, testing, and debugging programs using procedural/imperative and object-oriented languages
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Focus on the logic of algorithms and programs, as the exact programming language syntax is not examined, but the logic is considered more important
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Familiarise yourself with the specified pseudocode style
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Understand and be able to implement and compare standard searching and sorting algorithms
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Be prepared to write extended responses that demonstrate the quality of written communication
Responses