CBSE Term Wise Syllabus IP : Term 1 and Term 2 Wise Syllabus of Informatics Practices (IP) Class 11, 12

Now CBSE releases Term Wise Syllabus : Term 1 and Term 2 Wise Syllabus of Informatics Practices (IP)

CBSE Term 1 syllabus 2021 IP

Cbse term 1 syllabus ip termwise syllabus
Cbse term wise syllabus informatics practices
Informatics Practices cbse term syllabus

Informatics Practices
CLASS XI
Code No. 065
2021-22

1. Prerequisite : None
2. Learning Outcomes :
At the end of this course, students will be able to:
● Identify the components of the Computer System.
● Create Python programs using different data types, lists and dictionaries.
● Explain database concepts and Relational Database Management Systems.
● Retrieve and manipulate data in RDBMS using Structured Query Language
● Identify the Emerging trends in the fields of Information Technology.
3. Distribution of Marks and Periods
Unit No Unit Name Marks Periods
TheoryPeriodsPracticalTotalPeriod
1 Introduction to computer system 10 10 – 10
2 Introduction to Python 25 35 28 63
3 Database concepts and the
Structured Query Language
30 23 17 40
4 Introduction to Emerging
Trends
5 7 – 7
Practical 30 – – –
Total 100 75 45 120
TERM – 1
Distribution of Theory Marks
Unit No Unit Name Marks
1 Introduction to computer system 10
2 Introduction to Python 25
Total 35

Unit Wise syllabus
Unit 1:
Introduction to Computer System
● Introduction to computers and computing: evolution of computing devices, components of a
computer system and their interconnections, Input/Output devices.
● Computer Memory: Units of memory, types of memory – primary and secondary, data deletion, its
recovery and related security concerns.
● Software: purpose and types – system and application software, generic and specific purpose
software.

Unit 2:
Introduction to Python
● Basics of Python programming, Python interpreter – interactive and script mode, the structure of a
program, indentation, identifiers, keywords, constants, variables, types of operators, precedence of
operators, data types, mutable and immutable data types, statements, expressions, evaluation of
expressions, comments, input and output statements, data type conversion, debugging,
● Control statements: if-else, for loop.
● List operations – creating, initializing, traversing and manipulating lists, list methods and built-in
functions.: len(), list(), append(), extend(), insert(), count(), find(), remove(), pop(), reverse(), sort(),
sorted(), min(), max(), sum()
● Dictionary: concept of key-value pair, creating, initializing, traversing, updating and deleting
elements, dictionary methods and built-in functions: len(), dict(), keys(), values(), items(), get(),
update(), clear(), del()
Distribution of Practical Marks
Topic Marks
Python program (pen and paper or Collab or any online idle or
pyroid screen for mobile)
10
Practical File- 15 python Programs 3
Viva 2
Total 15

Suggested Practical List
Programming in Python
1. To find average and grade for given marks.
2. To find the sale price of an item with a given cost and discount (%).
3. To calculate perimeter/circumference and area of shapes such as triangle, rectangle, square and circle.
4. To calculate Simple and Compound interest.
5. To calculate profit-loss for a given Cost and Sell Price.
6. To calculate EMI for Amount, Period and Interest.
7. To calculate tax – GST / Income Tax.
8. To find the largest and smallest numbers in a list.
9. To find the third largest/smallest number in a list.
10. To find the sum of squares of the first 100 natural numbers.
11. To print the first ‘n’ multiples of a given number.
12. To count the number of vowels in a user entered string.
13. To print the words starting with a particular alphabet in a user entered string.
14. To print the number of occurrences of a given alphabet in a given string.
15. Create a dictionary to store names of states and their capitals.
16. Create a dictionary of students to store names and marks obtained in 5 subjects.
17. To print the highest and lowest values in the dictionary.

TERM – 2
Distribution of Theory Marks

Unit
No
Unit Name Marks
3 Database concepts and the
Structured Query Language
30
4 Introduction to Emerging
Trends
5
Total 35
Unit 3:
Database concepts and the Structured Query Language
● Database Concepts: Introduction to database concepts and its need, Database Management
System. Relational data model: concept of attribute, domain, tuple, relation, candidate key, primary
key, alternate key, foreign key.
● Structured Query Language: Data Definition Language, Data Query Language and Data
Manipulation Language, Introduction to MySQL: Creating a database, using database, showing
tables using MySQL,
● Data Types : char, varchar, int, float, date.
● Data Definition Commands: CREATE, DROP, ALTER (Add and Remove primary key, attribute).
Data Query Commands: SELECT-FROM- WHERE, LIKE, BETWEEN, IN, ORDER BY, using
arithmetic, logical, relational operators and NULL values in queries, Distinct clause Data
Manipulation Commands: INSERT, UPDATE, DELETE.
Unit 4:
Introduction to the Emerging Trends
● Artificial Intelligence, Machine Learning, Natural Language Processing,
● Immersive experience (AR, VR), Robotics
● Big data and its characteristics, Internet of Things (IoT), Sensors, Smart cities,
● Cloud Computing and Cloud Services (SaaS, IaaS, PaaS);
● Grid Computing, Block chain technology.
Distribution of Practical Marks
Topic Marks
SQL Queries (pen and paper) 8
Practical File SQL Queries – 20 Queries 4
Viva 3
Total 15
Suggested Practical List :
Data Management: SQL Commands
1. To create a database
2. To create a student table with the student id, class, section, gender, name, dob, and marks as
attributes where the student id is the primary key.
3. To insert the details of at least 10 students in the above table.
4. To delete the details of a particular student in the above table.
5. To increase marks by 5% for those students who have Rno more than 20.
6. To display the entire content of the table.
7. To display Rno, Name and Marks of those students who are scoring marks more than 50.
8. To find the average of marks from the student table.
9. To find the number of students, who are from section ‘A’.
10. To add a new column email in the above table with appropriate data type.
11. To add the email ids of each student in the previously created email column.
12. To display the information of all the students, whose name starts with ‘AN’ (Examples: ANAND,
ANGAD,..)
13. To display Rno, Name, DOB of those students who are born between ‘2005- 01-01’ and
‘2005-12-31’.
14. To display Rno, Name, DOB, Marks, Email of those male students in ascending order of their
names.
15. To display Rno, Gender, Name, DOB, Marks, Email in descending order of their marks.
16. To display the unique section available in the table.
Reference:
NCERT Informatics Practices – Text book for class – XI (ISBN- 978-93-5292-148-5 )

Informatics Practices
CLASS XII
Code No. 065
2021-2022

1. Prerequisite: Informatics Practices – Class XI
2. Learning Outcomes
At the end of this course, students will be able to:
● Create Series, Data frames and apply various operations.
● Visualize data using relevant graphs.
● Design SQL queries using aggregate functions.
● Learn terminology related to networking and the internet.
● Identify internet security issues and configure browser settings
● Understand the impact of technology on society including gender and disability issues.
3. 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
Term – 1
Distribution of Theory Marks
Unit No Unit Name Marks
1 Data Handling using Pandas and
Data Visualization
25
4 Societal Impacts 10
Total 35
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
dictionary, scalar value; mathematical operations; series attributes, head and tail functions;
selection, indexing and slicing.
● Data Frames: creation of data frames from dictionary of series, list of dictionaries, text/CSV
files, display, iteration. Operations on rows and columns: add ( insert /append) , select,
delete (drop column and row), rename, Head and Tail functions, indexing using labels,
Boolean indexing.
Data Visualization
● Data Visualization : Purpose of plotting, drawing and saving of plots using Matplotlib (line
plot, bar graph, histogram). Customizing plots:; adding label, title, and legend in plots.
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.
Distribution of Practical Marks
Topic Marks
Pandas program (pen and paper or Collab or any online idle or
pyroid screen for mobile)
8
Practical File 15 Pandas Programs 3
Project synopsis 2
Viva 2
Total 15
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
5.2 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.
Project Synopsis
The synopsis should cover the brief description about the project along with reasons for selection
of the dataset. The learner should write the source of the dataset whether created or taken from
any reliable source. The learner should write what analytics can be done on the project.
Term – 2
Distribution of Theory Marks
Unit
No
Unit Name Marks
2 Database Query using SQL 25
3 Introduction to Computer Networks 10
Total 35
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.
Distribution of Practical Marks
Topic Marks
SQL queries (pen and paper) 7
Practical File – 12 SQL Queries 2
Final Project Submission 3
Viva 3
Total 15
Suggested Practical List
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.
Project Work
The aim of the class project is to create tangible and useful IT applications. 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 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.

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