Computer Science CLASS-XI

Code No. 083

2021-22

1. Learning Outcomes

Student should be able to

1. develop basic computational thinking
2. explain and use data types
3. appreciate the notion of algorithm
4. develop a basic understanding of computer systems – architecture, operating system and cloud computing
5. explain cyber ethics, cyber safety and cybercrime
6. Understand the value of technology in societies along with consideration of gender and disability issues

2. Distribution of Marks

3. Unit wise Syllabus

Unit I: Computer Systems and Organisation

• 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 & interpreter), application software
• Operating system (OS): functions of operating system, OS user interface
• Boolean logic: NOT, AND, OR, NAND, NOR, XOR, truth table, De Morgan’s laws and logic circuits
• Number system: Binary, Octal, Decimal and Hexadecimal number system; conversion between number systems.
• Encoding schemes: ASCII, ISCII and UNICODE (UTF8, UTF32)
• Emerging trends: Cloud computing, cloud services (SaaS, IaaS, PaaS), blockchains, Artificial Intelligence (AI), Machine Learning (ML), Internet of Things (IoT)

Unit II: Computational Thinking and Programming – 1

• Introduction to problem solving: Steps for problem solving (analysing the problem, developing an algorithm, coding, testing and debugging). representation of algorithms using flow chart and pseudo code, 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 operator, augmented assignment operators, identity operators (is, is not), membership operators (in, not in)
• Expressions, statement, type conversion & input/output: precedence of operators, expression, evaluation of expression, python statement, type conversion (explicit & implicit conversion), accepting data as input from the console and displaying output
• Errors: syntax errors, logical errors, runtime errors
• Flow of control: introduction, use of indentation, sequential flow, conditional and iterative flow control
• Conditional statements: if, if-else, if-elif-else, flowcharts, simple programs: e.g.: absolute value, sort 3 numbers and divisibility of a number
• Iterative statements: for loop, range function, 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, indexing, string operations (concatenation, repetition, membership & slicing), traversing a string using loops, built-in functions: 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 & slicing), traversing a list using loops, built-in functions: 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 & slicing), built-in functions: 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 dictionary (adding a new item, modifying an existing item), traversing a dictionary, built-in functions: len(), dict(), keys(), values(), items(), get(), update(), del(), clear(), fromkeys(), copy(), pop(), popitem(), setdefault(), max(), min(), count(), sorted(), copy(); 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
• Sorting techniques: Bubble and Insertion sort
• 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)

Unit III: Society, Law and Ethics

• Digital Footprints
• Digital society and Netizen: net etiquettes, communication etiquettes, social media etiquettes
• Data protection: Intellectual Property Right (copyright, patent, trademark), violation of IPR (plagiarism, copyright infringement, trademark infringement), open source softwares and licensing (Creative Commons, GPL and Apache)
• Cyber-crime: definition, hacking, eavesdropping, phishing and fraud emails, ransomware, preventing cyber crime
• Cyber safety: safely browsing the web, identity protection, confidentiality, cyber trolls and bullying.
• Safely accessing web sites: malware, viruses, trojans, adware
• E-waste management: proper disposal of used electronic gadgets
• Indian Information Technology Act (IT Act)
• Technology & Society: Gender and disability issues while teaching and using computers

4. Practical

5. Suggested Practical List

Python Programming

• Input a welcome message and display
• Input two numbers and display the larger / smaller
• Input three numbers and display the largest / smallest
• Generate the following patterns using nested

• Write a program to input the value of x and n and print the sum of the following series:

• Determine whether a number is a perfect number, an armstrong number or a
• Input a number and check if the number is a prime or composite
• Display the terms of a Fibonacci
• Compute the greatest common divisor and least common multiple of two
• Count and display the number of vowels, consonants, uppercase, lowercase characters in
• Input a string and determine whether it is a palindrome or not; convert the case of characters in a string.
• Find the largest/smallest number in a list/tuple
• Input a list of numbers and swap elements at the even location with the elements at the odd location.
• Input a list of elements, sort in ascending/descending order using Bubble/Insertion
• Input a list/tuple of elements, search for a given element in the list/tuple.
• Input a list of numbers and find the smallest and largest number from the
• Create a dictionary with the roll number, name and marks of n students in a class and display the names of students who have scored marks above 75.

1. Suggested Reading Material

• NCERT Textbook for COMPUTER SCIENCE (Class XI)
• Support Materials on the CBSE