Who releases the Computer Science Class 11 Syllabus 2024-25?
Every year CBSE releases syllabus for Computer Science on their official website (www.cbseacademic.nic.in) . Computer Science syllabus 2024-25 is published before the start of an academic year. Computer Science subject is offered to class 11 and 12 students of CBSE affiliated schools in India and the subject is very scoring and easy and those who love to solve problems, have good logical reasoning ability and love to learn basics of programming , must opt for this subject.
Units in Computer Science Class 11 Syllabus 2024-25
There are a total of 3 units in Computer Science Class 11 Syllabus 2024-25. There unit wise marks distribution is as follows:
- Unit 1 : Computer Systems and Organisation (Marks : 10 )
- Unit 2 : Computational Thinking and Programming – I (Marks : 45)
- Unit 3 : Society, Law and Ethics (Marks : 15)
- Theory Exam : 70 Marks , Practical Exam : 30 Marks
Since this is a practical-oriented subject, there will be a theory exam as well as a practical exam which will be conducted at the school level. The final or session-ending exam will be of 70 marks and the practical exam will be of 30 marks. The practical exam will be conducted by subject teacher at the school level and the theory paper will be designed as per the syllabus published by CBSE.
Topics in Unit 1 of Computer Science Class 11 Syllabus 2024-25
● Basic computer organisation: Introduction to Computer System, hardware, software, input device, output device, CPU, memory (primary, cache and secondary), units of memory (bit, byte, KB, MB, GB, TB, PB)
● Types of software: System software (Operating systems, system utilities, device drivers), programming tools and language translators (assembler, compiler, and interpreter), application software
● Operating System(OS): functions of the operating system, OS user interface
● Boolean logic: NOT, AND, OR, NAND, NOR, XOR, NOT, truth tables and De Morgan’s laws, Logic circuits
● Number System: Binary, Octal, Decimal and Hexadecimal number system; conversion between number systems
● Encoding Schemes: ASCII, ISCII, and Unicode (UTF8, UTF32)
Topics in Unit 2 of Computer Science Class 11 Syllabus 2024-25
● Introduction to Problem-solving: Steps for Problem-solving (Analyzing the problem, developing an algorithm, coding, testing, and debugging), representation of algorithms using flowchart and pseudocode, decomposition
● Familiarization with the basics of Python programming: Introduction to Python, Features of Python, executing a simple “hello world” program, execution modes: interactive mode and script mode, Python character set, Python tokens( keyword, identifier, literal, operator, punctuator), variables, concept of l-value and r-value, use of comments
● Knowledge of data types: Number(integer, floating point,complex), boolean, sequence(string, list, tuple), None, Mapping(dictionary), mutable and immutable data types.
● Operators: arithmetic operators, relational operators, logical operators, assignment operators, augmented assignment operators, identity operators (is, is not), membership operators (in not in)
● Expressions, statement, type conversion, and input/output: precedence of operators, expression, evaluation of an expression, type-conversion (explicit and implicit conversion), accepting data as input from the console and displaying output.
● Errors- syntax errors, logical errors, and run-time errors
● Flow of Control: introduction, use of indentation, sequential flow, conditional and iterative flow
● Conditional statements: if, if-else, if-elif-else, flowcharts, simple programs: e.g.: absolute value, sort 3 numbers and divisibility of a number.
● Iterative Statement: for loop, range(), while loop, flowcharts, break and continue statements, nested loops, suggested programs: generating pattern, summation of series, finding the factorial of a positive number, etc.
● Strings: introduction, string operations (concatenation, repetition, membership and slicing), traversing a string using loops, built-in functions/methods–len(), capitalize(), title(), lower(), upper(), count(), find(), index(), endswith(), startswith(), isalnum(), isalpha(), isdigit(), islower(), isupper(), isspace(),lstrip(), rstrip(), strip(), replace(), join(), partition(), split()
● Lists: introduction, indexing, list operations (concatenation, repetition, membership and slicing), traversing a list using loops, built-in functions/methods–len(), list(), append(), extend(), insert(), count(), index(), remove(), pop(), reverse(), sort(), sorted(), min(), max(), sum(); nested lists, suggested programs: finding the maximum, minimum, mean of numeric values stored in a list; linear search on list of numbers and counting the frequency of elements in a list.
● Tuples: introduction, indexing, tuple operations (concatenation, repetition, membership and slicing); built-in functions/methods – len(), tuple(), count(), index(), sorted(), min(), max(), sum(); tuple assignment, nested tuple; suggested programs: finding the minimum, maximum, mean of values stored in a tuple; linear search on a tuple of numbers, counting the frequency of elements in a tuple.
● Dictionary: introduction, accessing items in a dictionary using keys, mutability of a dictionary (adding a new term, modifying an existing item), traversing a dictionary, built-in functions/methods – len(), dict(), keys(), values(), items(), get(), update(), del, clear(), fromkeys(), copy(), pop(), popitem(), setdefault(), max(), min(), sorted(); Suggested programs: count the number of times a character appears in a given string using a dictionary, create a dictionary with names of employees, their salary and access them.
● Introduction to Python modules: Importing module using ‘import <module>’ and using from statement, importing math module (pi, e, sqrt(), ceil(), floor(), pow(), fabs(), sin(), cos(), tan()); random module (random(), randint(), randrange()), statistics module (mean(), median(), mode()).
Topics in Unit 3 of Computer Science Class 11 Syllabus 2024-25
● Digital Footprints
● Digital Society and Netizen: net etiquettes, communication etiquettes, social media etiquettes
● Data Protection: Intellectual property rights (copyright, patent, trademark), violation of IPR (plagiarism, copyright infringement, trademark infringement), open source software and licensing (Creative Commons, GPL and Apache)
● Cyber Crime: definition, hacking, eavesdropping, phishing and fraud emails, ransomware, cyber trolls, cyber bullying
● Cyber safety: safely browsing the web, identity protection, confidentiality
● Malware: viruses, trojans, adware
● E-waste management: proper disposal of used electronic gadgets.
● Information Technology Act (IT Act)
● Technology and society: Gender and disability issues while teaching and using computers
