Tuesday , July 5 2022
Class XI Computer Science: Python

Class XI Computer Science Theory Syllabus (083): Python

Unit No. Unit Name Marks
01. COMPUTER SYSTEMS AND ORGANISATION 10
02. PROGRAMMING AND COMPUTATIONAL THINKING – 1 35
03. DATA MANAGEMENT – 1 15
04. SOCIETY, LAWS AND ETHICS -1 10
Total Marks 70
Exam Duration: 03 Hours

Class XI Computer Science Syllabus: Python

Unit No. 01: COMPUTER SYSTEMS AND ORGANISATION

(10 Theory + 02 Practical) Periods

  • Basic computer organisation: description of a computer system and mobile system, CPU, memory, hard disk, I/O, battery, power.
  • Types of software: application, OS, utility, libraries.
  • Language of Bits: bit, byte, MB, GB, TB, and PB.
  • Boolean logic: OR, AND, NAND, NOR, XOR, NOT, truth tables, De Morgan’s laws
  • Information representation: numbers in base 2, 8, 16, unsigned integers, binary addition
  • Strings: ASCII, UTF8, UTF32, ISCII (Indian script code)
  • Execution of a program: basic flow of compilation – program binary execution
  • Interpreters (process one line at a time), difference between a compiler and an interpreter
  • Running a program: Notion of an operating system, how an operating system runs a program, idea of loading, operating system as a resource manager.
  • Concept of cloud computers, cloud storage (public / private) and brief introduction to parallel computing.

Unit No. 02: PROGRAMMING AND COMPUTATIONAL THINKING – 1

(60 Theory + 45 Practical) Periods – Class XI Computer Science Syllabus

  • Basics of Computational Thinking: Decomposition, Pattern Recognition / Data representation, Generalization/ Data Abstraction and algorithm.
  • Familiarization with the basics of Python programming: a simple “hello world” program, process of writing a program (Interactive & Script mode), running it, and print statements; simple data-types: integer, float, string
  • Features of Python, Python Character Set, Token & Identifiers, Keywords, Literals, Delimiters, operators.
  • Comments: (Single line & Multi line/ Continuation statements), Clarity & Simplification of expression.
  • Introduce the notion of a variable, and methods to manipulate it (concept of L-value and R-value evenif not taught explicitly).
  • Knowledge of data types and operators: accepting input from the console, assignment statement, expressions, operators and their precedence.
  • Operators & types: Binary operators-Arithmetic, Relational operators, Logical operators, Augmented Assignment operators.
  • Conditional statements: if, if-else, if-elif-else; simple programs: e.g.: absolute value, sort 3 numbers and divisibility.
  • Notion of iterative computation and control flow: for (range( ), len( )), while, flowcharts, suggested programs: interest calculation and factorials etc.
  • Idea of debugging: errors and exceptions; debugging: pdb, break points
  • Lists, tuples and dictionary: finding the maximum, minimum, mean; linear search on list / tuple of numbers, and counting the frequency of elements in a list using a dictionary. Introduce the notion of accessing elements in a collection using numbers and names.
  • Sorting algorithm: bubble and insertion sort; count the number of operations while sorting.
  • Strings: Traversing, compare, concat, substring.
  • Introduction to Python modules: Importing math (sqrt, cell, floor, pow, fabs, sin, cos, tan, random (random, randint, randrange), statistics (mean, median, mode) modules.

Unit No. 03: DATA MANAGEMENT- 1

(30 Theory + 23 Practical) Periods

  • Relational databases: Concept of a database, relations, attributes and tuples, keys- candidate key, primary key, alternate key, foreign key; Degree and cardinality of a table.
  • Use SQL – DDL / DML commands to CREATE TABLE, INSERT INTO, UPDATE TABLE , DELETE FROM, ALTER TABLE,MODIFY TABLE, DROP TABLE, keys, and foreign keys; to view content of a table: SELECT-FROM-WHERE-ORDER BY along with BETWEEN, IN, LIKE, (Queries only on single table)
  • Aggregate functions – MIN, MAX, AVG, COUNT, SUM
  • Basics of NoSQL databases

Unit No. 04: SOCIETY, LAWS AND ETHICS – Class XI Computer Science Syllabus

(10 Theory) Periods

  • Cyber Safety: safely browsing the web, identity protection, confidentiality, social networks, cyber trolls and bullying
  • Appropriate usage of social networks: spread of rumors, and common social networking sites (Twitter, LinkedIn, and Facebook) and specific usage rules.
  • Safely accessing web sites: adware, malware, viruses, Trojans
  • Safely communicating data: secure connections, eavesdropping, phishing and identity verification.

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