# CBSE Class 12 | Computer Science – Python Syllabus(Theory)

View class 12 Python Theory Syllabus in pdf form

class_12_python_Theory_syllabus

# CBSE Class 12 | Computer Science – Python SyllabusComputer Science

## CLASS-XII (Code No. 083)

#### Optional for the academic year 2019-20 and mandatory for the academic year 2020-21 onwards

1. Prerequisites: Computer Science- Class XI

2. Learning Outcomes:

1. Understand the concept of functions and recursion.
2. Learn how to create and use Python libraries.
3. Learn file handling.
4. Learn about the concept of efficiency in algorithms and
computing in general.
5. Learn basic data structures: lists, stacks, and queues.
6. Get a basic understanding of computer networks: network
stack, basic network hardware, basic protocols, and basic
tools.
7. Connect a Python program with an SQL database, and learn
aggregation functions in SQL.
8. Have a clear understanding of cyber ethics and cybercrime.
Understand the value of technology in societies, gender and
disability issues, and the technology behind biometric ids

3. Distribution of Marks

## 4.1 Unit 1: Programming and Computational Thinking(PCT-2) (80 Theory + 70 Practical)

Revision of the basics of Python

Functions: scope, parameter passing, mutable/immutable
properties of data objects, pass arrays to functions, return
values, functions using libraries: mathematical, and string
functions.

File handling: open and close a file, read, write, and append to
a file, standard input, output, and error streams, relative and
absolute paths.

Using Python libraries: create and import Python libraries
Recursion: simple algorithms with recursion: factorial, Fibonacci
numbers; recursion on arrays: binary search

Idea of efficiency: performance defined as inversely
proportional to the wall clock time, count the number of
operations a piece of code is performing, and measure the time
taken by a program. Example: take two different programs for
the same problem, and understand how the efficient one takes
less time.

Data visualization using Pyplot: line chart, pie chart, and bar
chart.

Data-structures: lists, stacks, queue.

## 4.2 Unit 2: Computer Networks (CN) (30 Theory + 10Practical)

Structure of a network: Types of networks: local area and wide
area (web and internet), new technologies such
as cloud and IoT, public vs. private cloud, wired and wireless

networks; concept of a client and server.
Network devices such as a NIC, switch, hub, router, and access
point.

Network stack: amplitude and frequency modulation, collision in
wireless networks, error checking, and the notion of a MAC
and web URLs, TCP: basic idea of retransmission, and rate
modulation when there is congestion (analogy to a road
network), Protocols: 2G, 3G, 4G, WiFi What makes a protocol
have a higher bandwidth?

Basic network tools: traceroute, ping, ipconfig, nslookup,
whois, speed-test.

Application layer: HTTP (basic idea), working of email, secure
communication: encryption and certificates (HTTPS), network
applications: remote desktop, remote login, FTP, SCP, SSH,
POP/IMAP, SMTP, VoIP, NFC.

## 4.3 Unit 3: Data Management (DM-2) (20 Theory + 20Practical)

Write a minimal Django based web application that parses a GET
and POST request, and writes the fields to a file – flat file and
CSV file.

Interface Python with an SQL database

SQL commands: aggregation functions – group by,
having, , order by.

## 4.4. Unit 4: Society, Law and Ethics (SLE-2) (10 Theory)

Intellectual property rights, plagiarism, digital rights
management, and licensing (Creative Commons, GPL and
Apache), open source, open data, privacy.
child pornography, scams; cyber forensics, IT Act, 2000.

Technology and society: understanding of societal issues and
cultural changes induced by technology.

E-waste management: proper disposal of used electronic gadgets.
Identity theft, unique ids, and biometrics.

Gender and disability issues while teaching and using computers.

### CBSE Class 12 @ Python

• Class 12 @ Python Theory Syllabus
• Class 12 @ Python Practical Syllabus
• Revision Tour
• Functions (Funcations, Inbuilt Functions, Python Modules, Python Packages)
• Inbuilt Functions
• Python Modules
• Python Packages
• Using Python Libraries
• Python Data File Handling
• Program Efficiency
• Data Structures In Python
• Data Visualization Using Pyplot
• Computer Networks
• MySQL
• Interface Python with SQL
• Society, Law and Ethics
• Web Development with Django
• Class 12 @ Python Sample Practical File
• Class 12 @ Python Sample Papers
• Class 12 @ Python Projects

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