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Cambridge O Level Computer Science 2210 | Syllabus Overview | Paper II
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Cambridge O Level Computer Science helps learners develop an interest in computational thinking and an understanding of the principles of problem-solving using computers. They apply this understanding to create computer-based solutions to problems using algorithms and a high-level programming language.
Included factors in computer science 2210:
Principal areas of study and careers within computer science include artificial intelligence, computer systems and networks, security, database systems, human-computer interaction, vision and graphics, numerical analysis, programming languages, software engineering, bioinformatics, and theory of computing.
Computer Science 2210, Paper II, Syllabus Overview 2023 to 2025
Chapter 7:
Algorithm design and problem-solving.
1 Understand the program development life cycle, limited to: analysis, design, coding and testing.
2 (a) Understand that every computer system is made up of sub-systems, which are made up of further sub-systems.
(b) Understand how a problem can be decomposed into its component parts.
(c) Use different methods to design and construct a solution to a problem.
3 Explain the purpose of a given algorithm.
4 Understand standard methods of solution.
5 (a) Understand the need for validation checks to be made on input data and the different types of validation check.
(b) Understand the need for verification checks to be made on input data and the different types of verification check.
6 Suggest and apply suitable test data.
7 Complete a trace table to document a dry-run of an algorithm.
8 Identify errors in given algorithms and suggest ways of correcting these errors.
9 Write and amend algorithms for given problems or scenarios, using: pseudocode, program code and flowcharts.
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#olevel #2210 #computerscience #cambridgeuniversity #cambridgesyllabus
Included factors in computer science 2210:
Principal areas of study and careers within computer science include artificial intelligence, computer systems and networks, security, database systems, human-computer interaction, vision and graphics, numerical analysis, programming languages, software engineering, bioinformatics, and theory of computing.
Computer Science 2210, Paper II, Syllabus Overview 2023 to 2025
Chapter 7:
Algorithm design and problem-solving.
1 Understand the program development life cycle, limited to: analysis, design, coding and testing.
2 (a) Understand that every computer system is made up of sub-systems, which are made up of further sub-systems.
(b) Understand how a problem can be decomposed into its component parts.
(c) Use different methods to design and construct a solution to a problem.
3 Explain the purpose of a given algorithm.
4 Understand standard methods of solution.
5 (a) Understand the need for validation checks to be made on input data and the different types of validation check.
(b) Understand the need for verification checks to be made on input data and the different types of verification check.
6 Suggest and apply suitable test data.
7 Complete a trace table to document a dry-run of an algorithm.
8 Identify errors in given algorithms and suggest ways of correcting these errors.
9 Write and amend algorithms for given problems or scenarios, using: pseudocode, program code and flowcharts.
About Notesreel:
Notes Reel is converting school college, university and competitive exam notes into videos. These videos are easy to listen, simple to remember and learn. Join us for unlimited free video notes.
#olevel #2210 #computerscience #cambridgeuniversity #cambridgesyllabus
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