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Computer Science-Class 12th CBSE Board

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10 Hours
Live Classes
Training mode
Online or Offline by Instructor
Labs
Hands-on Labs
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About the Course

  • It is Computer Science Tutorials for CBSE Board students.
  • It covers Computer Science syllabus of Class 12th.
  • Apply the concept of functions in programming.
  • Explain and utilize file handling techniques.
  • Use basic data structures, specifically stacks.
  • Understand the fundamentals of computer networks.
  • Employ database concepts and SQL, including connectivity between Python and SQL.

Prerequisite : In online learning mode, you should have good internet, laptop or computer to join online class.

Syllabus

Unit 1: Computational Thinking and Programming – 2
    • Revision of Python topics covered in Class XI.
    • Functions: types of functions (built-in functions, functions defined in module, user-defined functions), creating user-defined functions, arguments and parameters, default parameters, positional parameters, function returning value(s), flow of execution, scope of a variable (global scope, local scope).
    • Exception Handling: Introduction, handling exceptions using try-except-finally blocks.
    • Introduction to files: types of files (Text file, Binary file, CSV file), relative and absolute paths.
    • Text file: opening a text file, text file open modes (r, r+, w, w+, a, a+), closing a text file, opening a file using with clause, writing/appending data to a text file using write() and writelines(), reading from a text file using read(), readline(), and readlines(), seek and tell methods, manipulation of data in a text file.
    • Binary file: basic operations on a binary file: open using file open modes (rb, rb+, wb, wb+, ab, ab+), close a binary file, import pickle module, dump() and load() methods, read, write/create, search, append, and update operations in a binary file.
    • CSV file: import csv module, open/close csv file, write into a csv file using writer(), writerow(), writerows() and read from a csv file using reader().
    • Data Structure: Stack, operations on stack (push & pop), implementation of stack using list.

Unit 2: Computer Networks
    • Evolution of networking: introduction to computer networks, evolution of networking (ARPANET, NSFNET, INTERNET).
    • Data communication terminologies: concept of communication, components of data communication (sender, receiver, message, communication media, protocols), measuring capacity of communication media (bandwidth, data transfer rate), IP address, switching techniques (Circuit switching, Packet switching).
    • Transmission media: Wired communication media (Twisted pair cable, Co-axial cable, Fiber-optic cable), Wireless media (Radio waves, Micro waves, Infrared waves).
    • Network devices (Modem, Ethernet card, RJ45, Repeater, Hub, Switch, Router, Gateway, WIFI card).
    • Network topologies and Network types: types of networks (PAN, LAN, MAN, WAN), networking topologies (Bus, Star, Tree).
    • Network protocol: HTTP, FTP, PPP, SMTP, TCP/IP, POP3, HTTPS, TELNET, VoIP.
    • Introduction to web services: WWW, Hyper Text Markup Language (HTML), Extensible Markup Language (XML), domain names, URL, website, web browser, web servers, web hosting.

Unit 3: Database Management
    • Database concepts: introduction to database concepts and its need.
    • Relational data model: relation, attribute, tuple, domain, degree, cardinality, keys (candidate key, primary key, alternate key, foreign key).
    • Structured Query Language: introduction, Data Definition Language and Data Manipulation Language, data types (char(n), varchar(n), int, float, date), constraints (not null, unique, primary key), create database, use database, show databases, drop database, show tables, create table, describe table, alter table (add and remove an attribute, add and remove primary key), drop table, insert, delete, select, operators (mathematical, relational, and logical), aliasing, distinct clause, where clause, in, between, order by, meaning of null, is null, is not null, like, update command, delete command, aggregate functions (max, min, avg, sum, count), group by, having clause, joins: Cartesian product on two tables, equi-join and natural join.
    • Interface of Python with an SQL database: connecting SQL with Python, performing insert, update, delete queries using cursor, display data by using connect(), cursor(), execute(), commit(), fetchone(), fetchall(), rowcount, creating database connectivity applications, use of %s format specifier or format() to perform queries.

4. Suggested Practical using Python Programming
    • Read a text file line by line and display each word separated by a #.
    • Read a text file and display the number of vowels, consonants, uppercase, and lowercase characters in the file.
    • Remove all the lines that contain the character 'a' in a file and write it to another file.
    • Create a binary file with name and roll number. Search for a given roll number and display the name; if not found, display an appropriate message.
    • Create a binary file with roll number, name, and marks. Input a roll number and update the marks.
    • Write a random number generator that generates random numbers between 1 and 6 (simulates a dice).
    • Write a Python program to implement a stack using a list.
    • Create a CSV file by entering user ID and password, read and search the password for the given user ID.

5. Suggested Practical for Database Management
    • Create a student table and insert data.
    • Implement the following SQL commands on the student table:
      • ALTER table to add new attributes, modify data type, or drop an attribute.
      • UPDATE table to modify data.
      • ORDER BY to display data in ascending or descending order.
      • DELETE to remove tuple(s).
      • GROUP BY and find the min, max, sum, count, and average.
    • Similar exercises may be framed for other cases.
    • Integrate SQL with Python by importing a suitable module.

6. Project
    • Create a student table and insert data.
    • Implement the following SQL commands on the student table:
      • ALTER table to add new attributes, modify data type, or drop an attribute.
      • UPDATE table to modify data.
      • ORDER BY to display data in ascending or descending order.
      • DELETE to remove tuple(s).
      • GROUP BY and find the min, max, sum, count, and average.
    • Similar exercises may be framed for other cases.
    • Integrate SQL with Python by importing a suitable module.

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