Computer Science - Grade 11

Learning Outcomes Students should be able to: 

• develop basic computational thinking 

• explain and use data types

• appreciate the notion of algorithms 

• develop a basic understanding of computer systems - architecture, operating system and cloud computing 

• explain cyber ethics, cyber safety, and cybercrime 

• understand the value of technology in societies along with consideration of gender and disability issues.

Unit 1:Computer Systems and Organisation[10 periods]

Unit II :Computational Thinking and Programming [80 periods]

Unit III :Society, Law, and Ethics [20 periods]

Practicals

Unit I: Computer Systems and Organisation 

• Basic Computer Organisation: Introduction to a 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 operators, 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 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, preventing cybercrime

• Cyber safety: safely browsing the web, identity protection, confidentiality, cyber trolls and bullying.

• Safely accessing websites: 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.

Practical

• Unit1: Lab Tests

Python program (60% logic + 20% documentation + 20% code quality)

• Unit 2: Report File &Viva

• Unit 3: Project

Enhance technology skills

Essential Resource Link

• https://drive.google.com/file/d/1fCORMc_JY285toC-bo1oiYQUqS5lIiYr/view?usp=sharing