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CBSE Class 11th Syllabus

Optional for the academic year 2018-19 and mandatory for the academic year 2019-20 onwards

CBSE Distribution of Mark

CBSE Class 11th Information Practices Syllabus

Unit 1: Programming and Computational Thinking (PCT-1) (70 Theory + 60 Practical)

 Basic computer organisation: describe a computer system and mobile system, CPU, memory, hard disk, I/O, battery, power, transition from a calculator to a computer
 Familiarization with the basics of Python programming: a simple “hello world” program, process of writing a program, running it, and print statements; simple data-types: integer, float, string
 Introduce the notion of a variable, and methods to manipulate it (concept of L-value and R-value even if not taught explicitly)
 Knowledge of data types and operators: accepting input from the console, assignment statement, expressions, operators and their precedence.
 Conditional statements: if, if-else, if-elif-else; simple programs: e.g.: absolute value, sort 3 numbers, divisibility.
 Notion of iterative computation and control flow: for, while, flowcharts, decision trees and pseudo code; write a lot of programs: interest calculation, EMI, tax calculation (examples from GST), standard deviation, correlation
 Lists and dictionary: finding the maximum, minimum, mean; linear search on a list of numbers, and counting the frequency of elements in a list using a dictionary.
 Text handling: compare, concat, and substring operations.
 Introduction to Python modules: creating and importing.

Unit 2: Data Handling (DH-1) (30 Theory + 20 Practical)

Introduction to Python Pandas

 Introduction to data structures in Pandas: Series, and Data Frame
 Operations on a Series: head, tail, vector operations
 Data Frame operations: create, display, iteration, select column, add column, delete column
 Binary operations in a Data Frame: add, sub, mul, div, radd, rsub
 Matching and broadcasting operations
 Missing data and filling values.
 Comparisons, Boolean reductions, comparing Series, and combining Data Frames.

Transfer data between CSV files/SQL databases, and Data Frame objects.

Unit 3: Data Management (DM-1) (30 Theory + 20 Practical)

 Relational databases: idea of a database and the need for it, relations, keys, primary key, foreign key;
 Use SQL commands to create a table, keys, and foreign keys; insert/delete an entry, delete a table.
 Basic SQL: select, project, and join; indexes, and a lot of in-class practice.

Unit 4: Society, Law and Ethics (SLE-1) – Cyber safety (10 Theory)

 Cyber safety: safely browsing the web, identity protection, confidentiality, social networks, cyber trolls and bullying
 Appropriate usage of social networks: spread of rumours, 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, and phishing and identity verification.

CBSE Practical Syllabus

CBSE Class 11th Information Practices Syllabus

Programming in Python: At least the following Python concepts should be covered in the lab sessions: expressions, conditionals, loops, list, dictionary, and strings. The following are some representative lab assignments.

 Find the largest and smallest numbers in a list.
 Find the third largest number in a list.
 Find the sum of squares of the first 100 natural numbers.
 Find whether a string is a palindrome or not.
 Given two integers x and n, compute xn.
 Compute the greatest common divisor and the least common multiple of two integers.
 Test if a number is equal to the sum of the cubes of its digits. Find the smallest and largest such numbers in the range of 100 to 1000.

Data Management: SQL Commands At least the following SQL commands should be covered during the labs: create, insert, delete, select, and join. The following are some representative assignments.

 Create a student table with the student id, name, and marks as attributes where the student id is the primary key.
 Insert the details of a new student in the above table.
 Delete the details of a particular student in the above table.
 Use the select command to get the details of the students with marks more than 80.
 Create a new table (name, date of birth) by joining two tables (student id, name) and (student id, date of birth).
 Create a new table (order ID, customer Name, and order Date) by joining two tables (order ID, customer ID, and order Date) and (customer ID, customer Name, contact Name, country).

Data Handling: The following are some representative lab assignments.

 Subtract the mean of a row from each element of the row in a Data Frame.
 Filter out rows based on different criteria such as redundant rows (same data as the row above or below).
 Find the sum of each column, or find the column with the lowest mean.
 Locate the 3 largest values in a data frame.
 Replace all negative values in a data frame with a 0.

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