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 Page 1


Page | 2 
 
 Computer Science/Informatics Practices 
- 308 
 
 
 
 
 
 
 
 
 
 
 
Section A 
 
Exception and File Handling in Python 
Exception Handling: syntax errors, exceptions, need of exception handling, user-defined 
exceptions, raising exceptions, handling exceptions, catching exceptions, Try - except - else 
clause, Try - finally clause, recovering and continuing with finally, built-in exception classes. 
File Handling: text file and binary file, file types, open and close files, reading and writing text 
files, reading and writing binary files using pickle module, file access modes. 
 
Database Concepts 
Introduction to database concepts, difference between database and file system, relational data 
model: concept of domain, tuple, relation, keys - candidate key, primary key, alternate key, 
foreign key; 
Relational algebra: selection, projection, union, set difference and cartesian product; 
 
Structured Query Language 
Advantages of using Structured Query Language, Data Definition Language, Data Query 
Language and Data Manipulation Language, Introduction to MySQL, Creating a database using 
MySQL, Data Types 
Data Definition: CREATE TABLE, DROP TABLE, ALTER TABLE, 
Data Query: SELECT, FROM, WHERE 
Data Manipulation: INSERT, UPDATE, DELETE 
Math functions: POWER (), ROUND (), MOD (). 
Note:  
There will be one Question Paper which will contain Two Sections i.e. Section A and Section B 
[B1 and B2].  
Section A will have 15 questions covering both i.e. Computer Science/Information Practices which 
will be compulsory for all candidates 
 
Section B1 will have 35 questions from Computer Science out of which 25 questions need to be 
attempted. 
Section B2 will have 35 questions purely from Information Practices out of which 25 question will 
be attempted. 
Page 2


Page | 2 
 
 Computer Science/Informatics Practices 
- 308 
 
 
 
 
 
 
 
 
 
 
 
Section A 
 
Exception and File Handling in Python 
Exception Handling: syntax errors, exceptions, need of exception handling, user-defined 
exceptions, raising exceptions, handling exceptions, catching exceptions, Try - except - else 
clause, Try - finally clause, recovering and continuing with finally, built-in exception classes. 
File Handling: text file and binary file, file types, open and close files, reading and writing text 
files, reading and writing binary files using pickle module, file access modes. 
 
Database Concepts 
Introduction to database concepts, difference between database and file system, relational data 
model: concept of domain, tuple, relation, keys - candidate key, primary key, alternate key, 
foreign key; 
Relational algebra: selection, projection, union, set difference and cartesian product; 
 
Structured Query Language 
Advantages of using Structured Query Language, Data Definition Language, Data Query 
Language and Data Manipulation Language, Introduction to MySQL, Creating a database using 
MySQL, Data Types 
Data Definition: CREATE TABLE, DROP TABLE, ALTER TABLE, 
Data Query: SELECT, FROM, WHERE 
Data Manipulation: INSERT, UPDATE, DELETE 
Math functions: POWER (), ROUND (), MOD (). 
Note:  
There will be one Question Paper which will contain Two Sections i.e. Section A and Section B 
[B1 and B2].  
Section A will have 15 questions covering both i.e. Computer Science/Information Practices which 
will be compulsory for all candidates 
 
Section B1 will have 35 questions from Computer Science out of which 25 questions need to be 
attempted. 
Section B2 will have 35 questions purely from Information Practices out of which 25 question will 
be attempted. 
Page | 3 
 
Chapter 1: Exception and File Handling in Python  
Chapter 2: Stack  
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 
 
Computer Networks 
Introduction to computer networks, Evolution of networking, 
Network types: LAN, WAN, MAN 
Network devices: Modem, Ethernet Card, Repeater, Hub, Switch, Router, Gateway. 
Network Topologies: Mesh, Ring, Bus, Star, and Tree topologies 
Basic concept of MAC and IP Address 
Difference between Internet and web 
 
Section B1: Computer Science 
 
 
Exception Handling: syntax errors, exceptions, need of exception handling, user-defined 
exceptions, raising exceptions, handling exceptions, catching exceptions, Try - except - else 
clause, Try - finally clause, recovering and continuing with finally, built-in exception classes. 
File Handling: text file and binary file, file types, open and close files, reading and writing text 
files, reading and writing binary files using pickle module, file access modes. 
 
Stack (List Implementation): Introduction to stack (LIFO Operations), operations on stack 
(PUSH and POP) and its implementation in python. Expressions in Prefix, Infix and postfix 
notations, evaluating arithmetic expressions using stack, conversion of Infix expression to 
postfix expression 
Page 3


Page | 2 
 
 Computer Science/Informatics Practices 
- 308 
 
 
 
 
 
 
 
 
 
 
 
Section A 
 
Exception and File Handling in Python 
Exception Handling: syntax errors, exceptions, need of exception handling, user-defined 
exceptions, raising exceptions, handling exceptions, catching exceptions, Try - except - else 
clause, Try - finally clause, recovering and continuing with finally, built-in exception classes. 
File Handling: text file and binary file, file types, open and close files, reading and writing text 
files, reading and writing binary files using pickle module, file access modes. 
 
Database Concepts 
Introduction to database concepts, difference between database and file system, relational data 
model: concept of domain, tuple, relation, keys - candidate key, primary key, alternate key, 
foreign key; 
Relational algebra: selection, projection, union, set difference and cartesian product; 
 
Structured Query Language 
Advantages of using Structured Query Language, Data Definition Language, Data Query 
Language and Data Manipulation Language, Introduction to MySQL, Creating a database using 
MySQL, Data Types 
Data Definition: CREATE TABLE, DROP TABLE, ALTER TABLE, 
Data Query: SELECT, FROM, WHERE 
Data Manipulation: INSERT, UPDATE, DELETE 
Math functions: POWER (), ROUND (), MOD (). 
Note:  
There will be one Question Paper which will contain Two Sections i.e. Section A and Section B 
[B1 and B2].  
Section A will have 15 questions covering both i.e. Computer Science/Information Practices which 
will be compulsory for all candidates 
 
Section B1 will have 35 questions from Computer Science out of which 25 questions need to be 
attempted. 
Section B2 will have 35 questions purely from Information Practices out of which 25 question will 
be attempted. 
Page | 3 
 
Chapter 1: Exception and File Handling in Python  
Chapter 2: Stack  
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 
 
Computer Networks 
Introduction to computer networks, Evolution of networking, 
Network types: LAN, WAN, MAN 
Network devices: Modem, Ethernet Card, Repeater, Hub, Switch, Router, Gateway. 
Network Topologies: Mesh, Ring, Bus, Star, and Tree topologies 
Basic concept of MAC and IP Address 
Difference between Internet and web 
 
Section B1: Computer Science 
 
 
Exception Handling: syntax errors, exceptions, need of exception handling, user-defined 
exceptions, raising exceptions, handling exceptions, catching exceptions, Try - except - else 
clause, Try - finally clause, recovering and continuing with finally, built-in exception classes. 
File Handling: text file and binary file, file types, open and close files, reading and writing text 
files, reading and writing binary files using pickle module, file access modes. 
 
Stack (List Implementation): Introduction to stack (LIFO Operations), operations on stack 
(PUSH and POP) and its implementation in python. Expressions in Prefix, Infix and postfix 
notations, evaluating arithmetic expressions using stack, conversion of Infix expression to 
postfix expression 
Page | 4 
 
Chapter 3: Queue  
Chapter 4: Searching  
Chapter 5: Sorting  
Chapter 6: Understanding Data  
Chapter 8: Structured Query Language  
 
Queue (List Implementation): Introduction to Queue (FIFO), Operations on Queue (INSERT and 
DELETE) and its implementation in Python. 
Introduction to DQueue and its implementation in Python. 
 
Searching: Sequential search, Binary search, Analysis of Sequential and Binary Search. Dry run to 
identify best, worst and average cases. Implementation of searching techniques in Python. 
 
Overview of sorting techniques, Bubble Sort, Selection Sort and Insertion Sort. Dry run to 
identify best, worst and average cases. Implementation of sorting techniques in Python. 
Hashing: Hash Functions, Collision Resolution, Implementing the Map Abstract Data Type. 
 
 
Data and its purpose, collection and organization; understanding data using statistical methods: 
mean, median, standard deviation, variance; data interpretation; visualization of data. 
 
 
 
Introduction to database concepts, difference between database and file system, relational data 
model: concept of domain, tuple, relation, keys - candidate key, primary key, alternate key, 
foreign key; 
Relational algebra: selection, projection, union, set difference and cartesian product; 
 
 
Advantages of using Structured Query Language, Data Definition Language, Data Query 
Language and Data Manipulation Language, Introduction to MySQL, Creating a database using 
MySQL, Data Types 
Data Definition: CREATE TABLE, DROP TABLE, ALTER TABLE, 
Data Query: SELECT, FROM, WHERE 
Data Manipulation: INSERT, UPDATE, DELETE 
Math functions: POWER (), ROUND (), MOD (). 
Chapter 7: Database Concepts  
Page 4


Page | 2 
 
 Computer Science/Informatics Practices 
- 308 
 
 
 
 
 
 
 
 
 
 
 
Section A 
 
Exception and File Handling in Python 
Exception Handling: syntax errors, exceptions, need of exception handling, user-defined 
exceptions, raising exceptions, handling exceptions, catching exceptions, Try - except - else 
clause, Try - finally clause, recovering and continuing with finally, built-in exception classes. 
File Handling: text file and binary file, file types, open and close files, reading and writing text 
files, reading and writing binary files using pickle module, file access modes. 
 
Database Concepts 
Introduction to database concepts, difference between database and file system, relational data 
model: concept of domain, tuple, relation, keys - candidate key, primary key, alternate key, 
foreign key; 
Relational algebra: selection, projection, union, set difference and cartesian product; 
 
Structured Query Language 
Advantages of using Structured Query Language, Data Definition Language, Data Query 
Language and Data Manipulation Language, Introduction to MySQL, Creating a database using 
MySQL, Data Types 
Data Definition: CREATE TABLE, DROP TABLE, ALTER TABLE, 
Data Query: SELECT, FROM, WHERE 
Data Manipulation: INSERT, UPDATE, DELETE 
Math functions: POWER (), ROUND (), MOD (). 
Note:  
There will be one Question Paper which will contain Two Sections i.e. Section A and Section B 
[B1 and B2].  
Section A will have 15 questions covering both i.e. Computer Science/Information Practices which 
will be compulsory for all candidates 
 
Section B1 will have 35 questions from Computer Science out of which 25 questions need to be 
attempted. 
Section B2 will have 35 questions purely from Information Practices out of which 25 question will 
be attempted. 
Page | 3 
 
Chapter 1: Exception and File Handling in Python  
Chapter 2: Stack  
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 
 
Computer Networks 
Introduction to computer networks, Evolution of networking, 
Network types: LAN, WAN, MAN 
Network devices: Modem, Ethernet Card, Repeater, Hub, Switch, Router, Gateway. 
Network Topologies: Mesh, Ring, Bus, Star, and Tree topologies 
Basic concept of MAC and IP Address 
Difference between Internet and web 
 
Section B1: Computer Science 
 
 
Exception Handling: syntax errors, exceptions, need of exception handling, user-defined 
exceptions, raising exceptions, handling exceptions, catching exceptions, Try - except - else 
clause, Try - finally clause, recovering and continuing with finally, built-in exception classes. 
File Handling: text file and binary file, file types, open and close files, reading and writing text 
files, reading and writing binary files using pickle module, file access modes. 
 
Stack (List Implementation): Introduction to stack (LIFO Operations), operations on stack 
(PUSH and POP) and its implementation in python. Expressions in Prefix, Infix and postfix 
notations, evaluating arithmetic expressions using stack, conversion of Infix expression to 
postfix expression 
Page | 4 
 
Chapter 3: Queue  
Chapter 4: Searching  
Chapter 5: Sorting  
Chapter 6: Understanding Data  
Chapter 8: Structured Query Language  
 
Queue (List Implementation): Introduction to Queue (FIFO), Operations on Queue (INSERT and 
DELETE) and its implementation in Python. 
Introduction to DQueue and its implementation in Python. 
 
Searching: Sequential search, Binary search, Analysis of Sequential and Binary Search. Dry run to 
identify best, worst and average cases. Implementation of searching techniques in Python. 
 
Overview of sorting techniques, Bubble Sort, Selection Sort and Insertion Sort. Dry run to 
identify best, worst and average cases. Implementation of sorting techniques in Python. 
Hashing: Hash Functions, Collision Resolution, Implementing the Map Abstract Data Type. 
 
 
Data and its purpose, collection and organization; understanding data using statistical methods: 
mean, median, standard deviation, variance; data interpretation; visualization of data. 
 
 
 
Introduction to database concepts, difference between database and file system, relational data 
model: concept of domain, tuple, relation, keys - candidate key, primary key, alternate key, 
foreign key; 
Relational algebra: selection, projection, union, set difference and cartesian product; 
 
 
Advantages of using Structured Query Language, Data Definition Language, Data Query 
Language and Data Manipulation Language, Introduction to MySQL, Creating a database using 
MySQL, Data Types 
Data Definition: CREATE TABLE, DROP TABLE, ALTER TABLE, 
Data Query: SELECT, FROM, WHERE 
Data Manipulation: INSERT, UPDATE, DELETE 
Math functions: POWER (), ROUND (), MOD (). 
Chapter 7: Database Concepts  
Page | 5 
 
Chapter 9: Computer Networks  
Chapter 1: Database Query using SQL  
Chapter 2: Data Handling using Pandas – I  
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 
 
Introduction to computer networks, Evolution of networking, 
Network types: LAN, WAN, MAN 
Network devices: Modem, Ethernet Card, Repeater, Hub, Switch, Router, Gateway. 
Network Topologies: Mesh, Ring, Bus, Star, and Tree topologies 
Basic concept of MAC and IP Address 
Difference between Internet and web 
Section B2: Information Practices 
 
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 
 
Page 5


Page | 2 
 
 Computer Science/Informatics Practices 
- 308 
 
 
 
 
 
 
 
 
 
 
 
Section A 
 
Exception and File Handling in Python 
Exception Handling: syntax errors, exceptions, need of exception handling, user-defined 
exceptions, raising exceptions, handling exceptions, catching exceptions, Try - except - else 
clause, Try - finally clause, recovering and continuing with finally, built-in exception classes. 
File Handling: text file and binary file, file types, open and close files, reading and writing text 
files, reading and writing binary files using pickle module, file access modes. 
 
Database Concepts 
Introduction to database concepts, difference between database and file system, relational data 
model: concept of domain, tuple, relation, keys - candidate key, primary key, alternate key, 
foreign key; 
Relational algebra: selection, projection, union, set difference and cartesian product; 
 
Structured Query Language 
Advantages of using Structured Query Language, Data Definition Language, Data Query 
Language and Data Manipulation Language, Introduction to MySQL, Creating a database using 
MySQL, Data Types 
Data Definition: CREATE TABLE, DROP TABLE, ALTER TABLE, 
Data Query: SELECT, FROM, WHERE 
Data Manipulation: INSERT, UPDATE, DELETE 
Math functions: POWER (), ROUND (), MOD (). 
Note:  
There will be one Question Paper which will contain Two Sections i.e. Section A and Section B 
[B1 and B2].  
Section A will have 15 questions covering both i.e. Computer Science/Information Practices which 
will be compulsory for all candidates 
 
Section B1 will have 35 questions from Computer Science out of which 25 questions need to be 
attempted. 
Section B2 will have 35 questions purely from Information Practices out of which 25 question will 
be attempted. 
Page | 3 
 
Chapter 1: Exception and File Handling in Python  
Chapter 2: Stack  
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 
 
Computer Networks 
Introduction to computer networks, Evolution of networking, 
Network types: LAN, WAN, MAN 
Network devices: Modem, Ethernet Card, Repeater, Hub, Switch, Router, Gateway. 
Network Topologies: Mesh, Ring, Bus, Star, and Tree topologies 
Basic concept of MAC and IP Address 
Difference between Internet and web 
 
Section B1: Computer Science 
 
 
Exception Handling: syntax errors, exceptions, need of exception handling, user-defined 
exceptions, raising exceptions, handling exceptions, catching exceptions, Try - except - else 
clause, Try - finally clause, recovering and continuing with finally, built-in exception classes. 
File Handling: text file and binary file, file types, open and close files, reading and writing text 
files, reading and writing binary files using pickle module, file access modes. 
 
Stack (List Implementation): Introduction to stack (LIFO Operations), operations on stack 
(PUSH and POP) and its implementation in python. Expressions in Prefix, Infix and postfix 
notations, evaluating arithmetic expressions using stack, conversion of Infix expression to 
postfix expression 
Page | 4 
 
Chapter 3: Queue  
Chapter 4: Searching  
Chapter 5: Sorting  
Chapter 6: Understanding Data  
Chapter 8: Structured Query Language  
 
Queue (List Implementation): Introduction to Queue (FIFO), Operations on Queue (INSERT and 
DELETE) and its implementation in Python. 
Introduction to DQueue and its implementation in Python. 
 
Searching: Sequential search, Binary search, Analysis of Sequential and Binary Search. Dry run to 
identify best, worst and average cases. Implementation of searching techniques in Python. 
 
Overview of sorting techniques, Bubble Sort, Selection Sort and Insertion Sort. Dry run to 
identify best, worst and average cases. Implementation of sorting techniques in Python. 
Hashing: Hash Functions, Collision Resolution, Implementing the Map Abstract Data Type. 
 
 
Data and its purpose, collection and organization; understanding data using statistical methods: 
mean, median, standard deviation, variance; data interpretation; visualization of data. 
 
 
 
Introduction to database concepts, difference between database and file system, relational data 
model: concept of domain, tuple, relation, keys - candidate key, primary key, alternate key, 
foreign key; 
Relational algebra: selection, projection, union, set difference and cartesian product; 
 
 
Advantages of using Structured Query Language, Data Definition Language, Data Query 
Language and Data Manipulation Language, Introduction to MySQL, Creating a database using 
MySQL, Data Types 
Data Definition: CREATE TABLE, DROP TABLE, ALTER TABLE, 
Data Query: SELECT, FROM, WHERE 
Data Manipulation: INSERT, UPDATE, DELETE 
Math functions: POWER (), ROUND (), MOD (). 
Chapter 7: Database Concepts  
Page | 5 
 
Chapter 9: Computer Networks  
Chapter 1: Database Query using SQL  
Chapter 2: Data Handling using Pandas – I  
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 
 
Introduction to computer networks, Evolution of networking, 
Network types: LAN, WAN, MAN 
Network devices: Modem, Ethernet Card, Repeater, Hub, Switch, Router, Gateway. 
Network Topologies: Mesh, Ring, Bus, Star, and Tree topologies 
Basic concept of MAC and IP Address 
Difference between Internet and web 
Section B2: Information Practices 
 
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 
 
Page | 6 
 
Chapter 3: Data Handling using Pandas – II  
Chapter 4: Plotting Data using Matplotlib  
Chapter 6: Societal Impacts  
Introduction to Python libraries- Pandas, NumPy, 
Matplotlib. Data structures in Pandas - Series and 
DataFrames. 
Series: Creation of Series from – and array, dictionary, scalar value; mathematical operations; 
Head and Tail functions; Selection, Indexing, and Slicing. 
DataFrames: creation - from the 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; Styling & Formatting data, Head and Tail functions; 
Joining, Merging and Concatenations. 
Importing/Exporting Data between CSV files and DataFrames. 
 
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. 
 
Purpose of plotting; drawing and saving t h e 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. 
 
 
Introduction to Networks, Types of networks: 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, the 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. 
Digital footprint, Etiquettes for Net surfing and for communicating through social media, data 
protection, Intellectual Property Rights (IPR) and their violation, plagiarism licensing and 
Chapter 5: Introduction to Computer Networks  
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FAQs on CUET Exam Syllabus for Computer Science - Commerce

1. What is the syllabus for the Computer Science exam at CUET?
Ans. The syllabus for the Computer Science exam at CUET includes topics such as programming languages, data structures, algorithms, computer networks, database management systems, operating systems, and software engineering. It also covers subjects like computer architecture, theory of computation, artificial intelligence, and computer graphics.
2. What are the important topics to focus on for the Computer Science exam at CUET?
Ans. Some important topics to focus on for the Computer Science exam at CUET are programming concepts, data structures and algorithms, computer networks, database management systems, and software engineering principles. It is also recommended to have a good understanding of computer architecture and theory of computation.
3. Are there any specific programming languages that I need to study for the Computer Science exam at CUET?
Ans. While the syllabus for the Computer Science exam at CUET does not specify any particular programming language, it is important to have a strong foundation in at least one programming language. Commonly used programming languages like C, C++, Java, or Python are widely applicable and can be beneficial for the exam.
4. Are there any practical components to the Computer Science exam at CUET?
Ans. Yes, the Computer Science exam at CUET may include practical components. Students may be required to solve programming problems, design and implement algorithms, or work with database systems. It is important to have hands-on experience and practical knowledge in addition to theoretical understanding.
5. How can I prepare for the Computer Science exam at CUET effectively?
Ans. To prepare effectively for the Computer Science exam at CUET, it is important to thoroughly study the syllabus and understand the core concepts. Practice solving programming problems, implement algorithms, and work with data structures. Referring to textbooks, online resources, and solving previous years' question papers can also be helpful in gaining confidence and familiarity with the exam pattern. Additionally, seeking guidance from professors or joining study groups can enhance the preparation process.
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