CBSE Class 12 Informatics Practices Syllabus 2020

CBSE Class 12 Informatics Practices Syllabus 2020 | Download Syllabus PDF

CBSE Class 12 Informatics Practices Syllabus 2020CBSE Class 12 Informatics Practices Syllabus 2020-21: Informatics Practices is the study of the computer terminologies and operation handling. With the latest CBSE Syllabus For Class 12 Informatics Practices, you will get to know the chapters and concepts to be covered in all topics. It will also let you know the weightage in various topics for the board exam.

You should have a depth concept in every topic of Class 12 Informatics Practices to score better marks CBSE Class 12 Board exam.

In this article, you can check Detailed CBSE Class 12 Informatics Practices Syllabus for better preparation.

CBSE Class 12 Informatics Practices Syllabus 2020-21

To prepare correctly for CBSE Class 12 Informatics Practices board exam, you must have the latest syllabus along with books and other study materials.

You should have depth concepts on the subject to score better marks. Based on the score in CBSE Class 12, you can get admission to the better institute for higher education.

You already know that CBSE updates the Class 12 syllabus every year to provide the most updated curriculum to students.

You can check and download the latest CBSE Informatics Practices Syllabus 2020-21 and Exam Pattern from below.

Unit 1: Data Handling using Pandas and Data Visualization

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; Joining, Merging and Concatenation.
  • Importing/Exporting Data between CSV files and Data Frames.

Data handling using Pandas – II

  • Descriptive Statistics: max, min, count, sum, mean, median, mode, quartile, Standard deviation, variance. DataFrame operations: Aggregation, group by, Sorting, Deleting and Renaming Index, Pivoting.
  • Handling missing values – dropping and filling. Importing/Exporting Data between MySQL database and Pandas. Data Visualization
  • Purpose of plotting; drawing and saving following types of plots using Matplotlib – line plot, bar graph, histogram, pie chart, frequency polygon, box plot and scatter plot.
  • Customizing plots: color, style (dashed, dotted), width; 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.
  • Operations on Relations – Union, Intersection, Minus, Cartesian Product, JOIN

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 functioning of the organization, and how data are generated, stored and managed. The learner can take data stored in csv or database file and analyze 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 List

Data Handling

  • Create a pandas series from a dictionary of values and an ndarray
  • Given a Series, print all the elements that are above the 75th
  • 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
  • Create a data frame based on ecommerce data and generate descriptive statistics (mean, median, mode, quartile, and variance)
  • Create a data frame for examination result and display row labels, column labels data types of each column and the dimensions
  • Filter out rows based on different criteria such as duplicate .
  • Find the sum of each column, or find the column with the lowest
  • Locate the 3 largest values in a data frame.
  • Subtract the mean of a row from each element of the row in a Data
  • Replace all negative values in a data frame with a
  • Replace all missing values in a data frame with a
  • Importing and exporting data between pandas and CSV file
  • Importing and exporting data between pandas and MySQL database

Visualization

  • Given the school result data, analyse the performance of the students on different parameters, e.g subject wise or class wise.
  • For the Data frames created above, analyze and plot appropriate charts with title and legend.
  • 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

  • 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 (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).
  • Create a foreign key in one of the two tables mentioned above
  • Find the min, max, sum, and average of the marks in a student marks table.
  • Find the total number of customers from each country in the table (customer ID, customer Name, country) using group by.
  • Create a new table (name, date of birth) by joining two tables (student id, name) and (student id, date of birth).
  • Write a SQL query to order the (student ID, marks) table in descending order of the marks.

Introduction to Computer Networks

  • Download, install and configure browser.

Other Important Links For CBSE Class 12 Informatics Practices

You should have the following study materials to boost your exam preparation for the Class 12 Informatics Practices exam. Click on the link to access the study materials.

CBSE Class 12 Informatics Practices Exam Pattern

Here you can check the chapter-wise weightage for CBSE Class 12 Informatics Practices question Paper.

Unit

No

Unit Name

Marks

Periods

Theory

Periods

Practical

Total

Period

1

Data Handling using Pandas and Data

Visualization

30

50

40

90

2

Database Query using SQL

25

30

22

52

3

Introduction to Computer Networks

7

12

2

14

4

Societal Impacts

8

14

14

 

Project

10

10

 

Practical

30

 

Total

100

106

74

180

Practical Marks Distribution

S.No

Unit Name

Marks

1

Programs using Pandas and Matplotlib

8

2

SQL Queries

5

3

Practical file (minimum of 20 programs based on Pandas , 5 based on Matplotlib and 20 SQL queries must be included)

5

4

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

7

5

Viva-Voce

5

TOTAL

30

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