CBSE Class 11 Informatics Practices New Syllabus 2018 2019

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CBSE Class 11 Informatics Practices New Syllabus 2018 2019. Download the latest syllabus to do your studies as per the latest guidelines issued by CBSE NCERT. The syllabus, weightage of chapters, blue print of question papers and the design of question papers is issued every year for the benefit of students. Access all syllabus for all subjects here.

                                                                           Informatics Practices (New)

                                                                                      CLASS XI

                                                                                     Code No. 065

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

1. Prerequisites

Since a lot of students join CBSE schools from schools run by a state board, we are not assuming any pre-requisites for this course other than basic mathematical skills. However, it will be helpful if the student has a basic knowledge of Computer Applications 1 and 2.

2. Learning Outcomes

1. Basic computational thinking. Learn how to reason with variables, state transitions,conditionals, and iteration.

2. Notion of data types, and higher order data structures such as lists, and dictionaries.

3. Concepts of data handling: creating, managing and working with Data Frames using Python Pandas.

4. Structure of simple SQL queries.

5. Cyber safety.

3. Distribution of Marks

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

1Basic computer organisation: describe a computer system and mobile system, CPU, memory, hard disk, I/O, battery, power, transition from a calculator to a computer

2 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

3 Introduce the notion of a variable, and methods to manipulate it (concept of L-value and Rvalue even if not taught explicitly)

4 Knowledge of data types and operators: accepting input from the console, assignment statement, expressions, operators and their             precedence.

5 Conditional statements: if, if-else, if-elif-else; simple programs: e.g.: absolute value, sort 3 numbers, divisibility.

6 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

7 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.

8  Text handling: compare, concat, and substring operations.

9 Introduction to Python modules: creating and importing.

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

4.2.1. Introduction to Python Pandas

1 Introduction to data structures in Pandas: Series, and Data Frame

2 Operations on a Series: head, tail, vector operations

3 Data Frame operations: create, display, iteration, select column, add column, delete column

4 Binary operations in a Data Frame: add, sub, mul, div, radd, rsub

5 Matching and broadcasting operations

6 Missing data and filling values.

7 Comparisons, Boolean reductions, comparing Series, and combining Data Frames.

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

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

1 Relational databases: idea of a database and the need for it, relations, keys, primary key,foreign key;

2 Use SQL commands to create a table, keys, and foreign keys; insert/delete an entry, delete a table.

3 Basic SQL: select, project, and join; indexes, and a lot of in-class practice.

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

1 Cyber safety: safely browsing the web, identity protection, confidentiality, social networks, cyber trolls and bullying

2 Appropriate usage of social networks: spread of rumours, and common social networking sites (Twitter, LinkedIn, and Facebook) and         specific usage rules.

3 Safely accessing web sites: adware, malware, viruses, Trojans

4 Safely communicating data: secure connections, eavesdropping, and phishing and identity verification.

5.1. 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.

1 Find the largest and smallest numbers in a list.

2 Find the third largest number in a list.

3 Find the sum of squares of the first 100 natural numbers.

4 Find whether a string is a palindrome or not.

5 Given two integers x and n, compute xn.

6 Compute the greatest common divisor and the least common multiple of two integers

Please click the link below to download CBSE Class 11 Informatics Practices New Syllabus 2018 2019.

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