CBSE Class 12 Informatics Practices Syllabus 2020-21 (Revised)

CBSE: Check revised CBSE Class 12 Informatics Practices Syllabus 2020-21 (reduced by 30%) and prepare for upcoming CBSE Class 12 Informatics Practices board exam 2021.

Created On: Dec 11, 2020 14:17 IST
CBSE Class 12 Informatics Practices Syllabus 2020-21 (Revised)
CBSE Class 12 Informatics Practices Syllabus 2020-21 (Revised)

CBSE: Check revised CBSE Class 12 Informatics Practices Syllabus 2020-21 (reduced by 30%) and prepare for upcoming CBSE Class 12 Informatics Practices board exams 2021. Here we have also provided links to access other important resources for the preparation of the upcoming CBSE board exam 2021 of Informatics Practices and other subjects. You can also download CBSE Class 12 Informatics Practices Syllabus 2021 (Revised) from the download link given at the end of this article.

Also Check: CBSE Deleted Syllabus 2020-21: 9th, 10th, 11th & 12th & CBSE Board Exams 2021 Updates!

CBSE Class 12 Informatics Practices Syllabus 2020-21:  

Distribution of Marks and Periods 

Unit

No

Unit Name

Marks

Periods

 Theory

Periods

Practical

Total

Period

1

Data Handling using Pandas and Data Visualization

25

25

25

50

2

Database Query using SQL

25

20

17

37

3

Introduction to Computer Networks

10

12

0

12

4

Societal Impacts

10

14

-

14

 

Project

-

-

7

7

 

Practical

30

-

-

-

 

Total

100

71

49

120

Unit Wise syllabus

Unit 1: Data Handling using Pandas -I

Introduction to Python libraries- Pandas, Matplotlib. Data structures in Pandas - Series and Data Frames.

Series: Creation of Series from – ndarray, dictionary, scalar value; mathematical operations;  Head and Tail functions; Selection, Indexing and Slicing.

Data Frames: creation - from dictionary of Series, list of dictionaries, Text/CSV files; display; iteration; Operations on rows and  columns:  add,  select,  delete,  rename;  Head and  Tail functions;  Indexing using Labels, Boolean Indexing;

Importing/Exporting Data between CSV files and Data Frames.

Data Visualization

Purpose of plotting; drawing and saving following types of plots using Matplotlib – line plot, bar graph, histogram

Customizing plots: adding label, title, and legend in plots.

Unit 2:  Database Query using SQL 

Math functions: POWER (), ROUND (), MOD ().

Text functions:  UCASE ()/UPPER (), LCASE ()/LOWER (), MID ()/SUBSTRING ()/SUBSTR (), LENGTH (), LEFT (), RIGHT (), INSTR (), LTRIM (), RTRIM (), TRIM ().

Date Functions:  NOW (), DATE (), MONTH (), MONTHNAME (), YEAR (), DAY (), DAYNAME (). Aggregate Functions: MAX (), MIN (), AVG (), SUM (), COUNT (); using COUNT (*).

Querying and manipulating data using Group by, Having, Order by.

Unit 3:  Introduction to Computer Networks

Introduction to networks, Types of network: LAN, MAN,  WAN. Network Devices: modem, hub, switch, repeater, router, gateway Network Topologies: Star, Bus, Tree, Mesh.

Introduction to Internet, URL, WWW, and its applications- Web, email, Chat, VoIP.

Website: Introduction, difference between a website and webpage, static vs dynamic web page, web server and hosting of a website.

Web Browsers: Introduction, commonly used browsers, browser settings, add-ons and plug-ins, cookies.

Unit 4:  Societal Impacts

Digital footprint, net and communication etiquettes, data protection,  intellectual property rights (IPR), plagiarism, licensing and copyright, free and open source software (FOSS), cybercrime and cyber laws, hacking, phishing, cyber bullying, overview of Indian IT Act.

E-waste: hazards and management.

Awareness about health concerns related to the usage of technology.

Project Work

The aim of the class project is to create  tangible and useful IT application. The learner may identify a real-world problem  by exploring the  environment. e.g. Students  can visit shops/business places, communities  or other organizations in their localities and enquire about the functioning of the organization, and how data are generated, stored, and managed.

The learner  can  take  data  stored  in a csv or  database file and  analyze it using Python  libraries  and  generate appropriate charts to visualize.

If an organization is maintaining data offline, then the learner should create  a database using MySQL and store the data in tables. Data can be imported in Pandas for analysis and visualization.

Learners can use Python libraries of their choice to develop software for their school or any other social good. Learners should be sensitized to avoid plagiarism and violation of copyright issues while working on projects.

Teachers should take necessary measures  for this. Any resources (data, image etc.) used in the project must be suitably referenced.

The project can be done individually or in groups of 2 to 3 students. The project should be started  by students at least 6 months before the submission deadline.

Practical Marks Distribution: 

 S.No.

 Unit Name

 Marks

1

 

Programs using Pandas and Matplotlib

8

 

2

 

SQL Queries

 7

 

3

 

Practical file (minimum of 15 programs based on Pandas,  4 based on Matplotlib and 15 SQL queries must be included)

 5

 

4

 

Project Work (using concepts learned in class XI and XII)

 5

 

5

 

Viva-Voce

 5

 

 Total

 30

Suggested Practical List

Data Handling

1. Create a panda’s series from a dictionary of values and a ndarray

2. Given a Series, print all the elements  that are above the 75th percentile.

3. Create a Data Frame quarterly sales where each row contains the item category, item name, and expenditure.

Group the rows by the category and print the total expenditure per category.

4. Create a data frame for examination result and display row labels, column labels data types of each column and the dimensions

5. Filter out rows based on different criteria such as duplicate rows.

6. Importing and exporting data between pandas and CSV file

Visualization

1. Given the school result data, analyses the performance of the students on different parameters, e.g subject wise or class wise.

2. For the Data frames created  above, analyze, and plot appropriate charts with title and legend.

3. Take data of your interest  from an open source (e.g. data.gov.in), aggregate and summarize it. Then plot it using different plotting functions of the Matplotlib library.

Data Management 

1. Create a student table with the student id, name, and marks as attributes where the student id is the primary key.

2. Insert the details of a new student in the above table.

3. Delete the details of a student in the above table.

4. Use the select command to get the details of the students with marks more than 80.

5. Find the min, max, sum, and average of the marks in a student marks table.

6. Find the total number of customers from each country in the table (customer ID, customer Name, country) using group by.

7. Write a SQL query to order the (student  ID, marks) table in descending order of the marks.

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