Computer Science (CS) Classes
Master the full Cambridge IGCSE Computer Science 0478 syllabus and build exam-ready programming skills.
A complete preparation course for Cambridge IGCSE Computer Science (0478), aligned to the official 2026-2028 syllabus. Covers all ten topics across computer systems theory and algorithms, programming and logic, with hands-on coding in Python, Java or Visual Basic. Designed for Year 11 / Grade 10 students sitting Paper 1 and Paper 2.
What you'll learn
- ✓Convert and manipulate data across binary, denary and hexadecimal number systems
- ✓Explain how computer hardware, software, storage and networks operate together
- ✓Design algorithms using flowcharts, structure diagrams and pseudocode
- ✓Write, test and debug programs using variables, selection, iteration, arrays, procedures and file handling
- ✓Apply validation, verification and structured test data to problems
- ✓Build single-table databases and query them with SQL
- ✓Construct and complete logic gates, circuits and truth tables
- ✓Analyse internet technologies, cyber security, automation and AI concepts
Full syllabus
Mapped to the official IGCSE curriculum.
011. Data Representation+
- Number systems: binary, denary and hexadecimal
- Why and how computers use binary and hexadecimal
- Logical binary shifts and two's complement
- Representation of text, sound and images
- Data storage units and file size calculations
- Data compression: lossy and lossless
022. Data Transmission+
- Types and methods of data transmission: serial, parallel, simplex, half-duplex, full-duplex
- Universal Serial Bus (USB) benefits and drawbacks
- Methods of error detection: parity checks, checksum, check digit
- Automatic Repeat Query (ARQ)
- Symmetric and asymmetric encryption
033. Hardware+
- Computer architecture: CPU, Von Neumann, registers, buses, fetch-decode-execute cycle
- Cores, cache and clock speed; instruction sets; embedded systems
- Input and output devices
- Primary and secondary storage; magnetic, optical and solid-state storage
- Virtual memory and cloud storage
- Network hardware: NIC, MAC address, router
044. Software+
- System software vs application software
- Role and functions of an operating system
- Hardware, firmware and software relationship
- Interrupts
- High-level vs low-level (assembly) languages
- Compilers, interpreters and the role of an IDE
055. The Internet and Its Uses+
- Internet vs World Wide Web
- Uniform Resource Locator (URL)
- HTTP and HTTPS; web browsers
- How web pages are located, retrieved and displayed; DNS
- Cookies
- Digital currency and blockchain
- Cyber security threats and protection methods
066. Automated and Emerging Technologies+
- Automated systems: sensors, microprocessors and actuators
- Advantages and disadvantages of automated systems
- Robotics and characteristics of robots
- Artificial Intelligence (AI): characteristics, expert systems, machine learning basics
077. Algorithm Design and Problem-Solving+
- Program development life cycle: analysis, design, coding, testing
- Decomposition; structure diagrams, flowcharts and pseudocode
- Standard methods: linear search, bubble sort, totalling, counting, max/min/average
- Validation and verification checks
- Test data: normal, abnormal, extreme, boundary
- Trace tables and dry-runs
- Identifying and correcting errors; writing and amending algorithms
088. Programming+
- Variables, constants and basic data types
- Input/output; sequence, selection and iteration
- Totalling, counting and string handling
- Arithmetic, relational and logical operators; nested statements
- Procedures, functions, parameters; local and global variables
- Library routines (MOD, DIV, ROUND, RANDOM)
- Maintainable programs and meaningful identifiers
- 1D and 2D arrays
- File handling: reading from and writing to files
099. Databases+
- Single-table database: fields, records, validation
- Suitable data types
- Primary keys
- Structured Query Language (SQL): SELECT, FROM, WHERE, ORDER BY, SUM, COUNT
1010. Boolean Logic+
- Standard logic gate symbols (NOT, AND, OR, NAND, NOR, XOR)
- Building logic circuits from problem statements, logic expressions and truth tables
- Completing truth tables
- Writing logic expressions and circuits from given scenarios
Tools you'll use
Exam pattern
Two externally assessed written papers, each 1 hour 45 minutes and 75 marks (50% each). Paper 1 (Computer Systems) covers Topics 1-6; Paper 2 (Algorithms, Programming and Logic) covers Topics 7-10 and includes a 15-mark scenario question. No coursework; grades A* to G. Assessment objectives: AO1 knowledge 40%, AO2 application 40%, AO3 evaluation 20%.
Practical / project
No separate practical exam, but practical programming is integral: students write, run, test and debug their own programs in Python, Visual Basic or Java throughout the course. Paper 2 requires genuine practical programming experience, and the scenario question may be answered in pseudocode or a chosen programming language.
Who it's for
Grade 10 / Year 11 students preparing for the Cambridge IGCSE Computer Science 0478 examination, including those who want strong foundations in both theory and practical programming.
What's included
- ✓Live interactive online classes with Kajal Ma'am, covering the full Cambridge IGCSE Computer Science 0478 syllabus (all ten topics across Paper 1 and Paper 2)
- ✓Chapter-wise typed notes for theory topics — data representation, hardware, software, networks, the internet and automated/AI systems
- ✓Step-by-step Python and pseudocode practice for algorithms, programming and logic, written and dry-run together on a shared screen
- ✓Worked solutions to textbook questions and past Cambridge exam-style questions, topic by topic
- ✓Regular assignments and homework with personalised feedback and corrections
- ✓Dedicated doubt-solving sessions where students bring questions and we resolve them live
- ✓Paper 1 and Paper 2 board-style practice papers with marking-scheme-based answer training and command-word guidance
- ✓Programming task and logic-gate practice for the practical, application-heavy questions in Paper 2
Why study Computer Science?
Cambridge IGCSE Computer Science (0478) splits equally into Paper 1 (Computer Systems theory) and Paper 2 (Algorithms, Programming and Logic), each worth 50% of the grade — so both conceptual understanding and hands-on coding carry real weight in the final result. Grade 10 is where students lock in the binary, networking, pseudocode and Python fundamentals that A Level Computer Science and university courses build directly on, making it a high-leverage year. Because the marks are split across knowledge, application and problem-solving (AO1, AO2 and AO3), it is also a genuinely scoring subject for students who practise to the mark scheme. Strong, real understanding now means far less catching up later — and an A*–C here keeps progression to AS & A Level Computer Science wide open.
IGCSE Computer Science is the recognised foundation for AS & A Level Computer Science and for university degrees in computing, engineering and data fields. The Python programming, algorithmic thinking and computer-systems knowledge built here map directly to careers in software development, cybersecurity, data and AI, and IT. Universities also value an early demonstrated grounding in computing when assessing technical applicants.

Learn directly from Kajal Ma'am
An MCA who has taught computer subjects since 2006, Kajal Mehta personally mentors every batch — turning dense theory into clear, exam-ready understanding.
Course FAQs
Are the IGCSE Computer Science classes fully online and live?+
Do you offer both Group batch and One-to-One coaching for IGCSE CS?+
Which board and syllabus is this course aligned to?+
Which programming language is used, and do you help with the practical/programming questions?+
Will my child get help with past papers and exam technique?+
Can we book a demo class before joining?+
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