Computer Science
Master Python programming and computational thinking with the official CBSE Class 11 Computer Science (083) syllabus.
A complete preparation course for CBSE Class 11 Computer Science (Code 083), aligned to the official 2025-26 syllabus from cbseacademic.nic.in. Covers computer systems and organisation, problem-solving and Python programming, and society, law and ethics, building a strong foundation for the Class 12 board exam. Includes guided lab practice, a minimum of 20 Python programs for the report file, and an end-of-year project.
What you'll learn
- ✓Write, run and debug Python programs in both interactive and script mode
- ✓Apply computational thinking - breaking problems into algorithms, flowcharts and pseudocode
- ✓Use Python data types, operators, and control structures (conditionals, loops, nested loops)
- ✓Manipulate strings, lists, tuples and dictionaries with their built-in methods
- ✓Use Python modules such as math, random and statistics
- ✓Understand computer organisation, Boolean logic, number systems and encoding schemes
- ✓Convert between binary, octal, decimal and hexadecimal number systems
- ✓Apply cyber safety, cyber ethics and IT Act concepts responsibly
Full syllabus
Mapped to the official CBSE curriculum.
01Unit 1: Computer Systems and Organisation (10 marks)+
- Basic computer organisation: computer system, hardware, software, input/output devices, CPU, memory (primary, cache, secondary), units of memory (bit, byte, KB, MB, GB, TB, PB)
- Types of software: system software (OS, system utilities, device drivers), programming tools and language translators (assembler, compiler, interpreter), application software
- Operating System: functions of the OS, OS user interface
- Boolean logic: NOT, AND, OR, NAND, NOR, XOR, truth tables, De Morgan's laws, logic circuits
- Number systems: Binary, Octal, Decimal, Hexadecimal and conversion between them
- Encoding schemes: ASCII, ISCII, Unicode (UTF8, UTF32)
02Unit 2: Computational Thinking and Programming - 1 (45 marks)+
- Introduction to problem-solving: analysing the problem, developing an algorithm, coding, testing and debugging, flowcharts, pseudocode, decomposition
- Basics of Python: features, hello-world program, interactive vs script mode, character set, tokens (keyword, identifier, literal, operator, punctuator), variables, l-value and r-value, comments
- Data types: number (integer, float, complex), boolean, sequence (string, list, tuple), None, mapping (dictionary), mutable and immutable types
- Operators: arithmetic, relational, logical, assignment, augmented assignment, identity (is, is not), membership (in, not in)
- Expressions, statements, type conversion (implicit/explicit), operator precedence, expression evaluation, console input/output
- Errors: syntax errors, logical errors, run-time errors
- Flow of control: indentation, sequential, conditional and iterative flow
- Conditional statements: if, if-else, if-elif-else with flowcharts and simple programs
- Iterative statements: for loop, range(), while loop, break and continue, nested loops, pattern/series/factorial programs
- Strings: operations (concatenation, repetition, membership, slicing), traversal, built-in methods (len, upper, lower, count, find, index, split, replace, strip, etc.)
- Lists: indexing, operations, traversal, built-in methods (append, extend, insert, remove, pop, sort, min, max, sum), nested lists, searching
- Tuples: indexing, operations, built-in methods, tuple assignment, nested tuples, searching
- Dictionaries: accessing items by keys, mutability, traversal, built-in methods (keys, values, items, get, update, pop, etc.)
- Python modules: import statements; math, random and statistics modules
03Unit 3: Society, Law and Ethics (15 marks)+
- Digital footprints
- Digital society and netizen: net, communication and social media etiquettes
- Data protection: intellectual property rights (copyright, patent, trademark), IPR violations (plagiarism, infringement), open source software and licensing (Creative Commons, GPL, Apache)
- Cyber crime: hacking, eavesdropping, phishing, fraud emails, ransomware, cyber trolls, cyber bullying
- Cyber safety: safe web browsing, identity protection, confidentiality
- Malware: viruses, trojans, adware
- E-waste management: proper disposal of electronic gadgets
- Information Technology Act (IT Act)
- Technology and society: gender and disability issues in computing
Tools you'll use
Exam pattern
Total 100 marks: Theory 70 marks (Unit 1 - Computer Systems and Organisation: 10, Unit 2 - Computational Thinking and Programming-1: 45, Unit 3 - Society, Law and Ethics: 15) + Practical 30 marks.
Practical / project
Practical exam carries 30 marks: Lab Test - Python program (12 marks; 60% logic + 20% documentation + 20% code quality); Report File of minimum 20 Python programs (7 marks) plus Viva voce (3 marks); and a Project using most of the concepts learnt (8 marks).
Who it's for
Class 11 CBSE students taking Computer Science (083) who want to build a strong Python and computer-science foundation ahead of the Class 12 board exam.
What's included
- ✓Live, interactive online classes covering the full CBSE Class 11 Computer Science (083) syllabus — taught by Kajal Ma'am
- ✓Chapter-wise Kwick Notes that turn Python and computer-systems theory into clear, exam-ready points
- ✓Solved NCERT and textbook exercises with worked Python programs explained line by line
- ✓Topic-wise assignments and practice worksheets after each unit to build coding fluency
- ✓Dedicated doubt-solving sessions where every question is answered before moving on
- ✓Board-pattern theory paper practice with marking-scheme-based answer writing
- ✓Practical-file and Python lab program guidance, plus SQL query practice for the practical exam
- ✓Viva voce preparation and one-to-one feedback to keep each student exam-ready
Why study Computer Science?
CBSE Class 11 Computer Science (Subject Code 083) is where students build the real foundation of programming, with Python alone carrying 45 of the 70 theory marks — making it one of the most scoring subjects once concepts are clear. The year develops computational thinking, logic and coding habits that directly decide how comfortably a student handles Class 12 CS, where the same Python extends to file handling, data structures and SQL. Beyond marks, it builds genuine problem-solving ability rather than rote learning, so a strong Class 11 base means fewer gaps and higher confidence in the board year. For anyone aiming at engineering, computer applications or a tech career, this is the first proper step.
The Python programming, computational thinking and logic built in Class 11 CS form the entry point for B.Tech/B.E. Computer Science, BCA and B.Sc. (CS/IT) degrees, where Python remains a core language. The same foundation feeds directly into in-demand fields like software development, data science, artificial intelligence, machine learning and automation. Even for students who do not pursue a pure-coding career, the problem-solving and database basics are useful across engineering, analytics and modern IT-driven roles.
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 Class 11 Computer Science classes live or recorded?+
Do you offer both group batch and one-to-one classes?+
Is the course aligned to the latest CBSE syllabus?+
Who can join this course?+
Will you help with the practical exam, Python file and viva?+
Can I attend a demo before enrolling?+
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