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Database Management System – Adv

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Model Question Paper

Database Management System

Key Features

  • Unit-wise Short Notes 
    Each unit includes a summary in both languages, making revision faster and more effective.
  • Extensive MCQ Practice 
    1500+ MCQ Practice Questions: This comprehensive question bank includes 1500+ multiple-choice questions (MCQs). Each unit contains approximately 150 MCQs covering a wide range of cognitive levels such as remembering, understanding, application, and analysis.

  • Exam Practice Paper with Mock Tests 
    Includes three full-length mock tests for real exam practice. 

  • Latest Syllabus as per NEP 
    The syllabus aligns with the latest National Education Policy (NEP) and follows the exam patterns of MSU, CCSU, and other universities following the NEP.

  • Designed by Experts 
    This question bank has been meticulously prepared by subject matter experts to ensure accuracy and relevance.

Why Choose This Model Paper?

  • Complete Exam Preparation: Unit-wise summaries, MCQ practice, and mock tests provide a complete study solution.
  • Latest NEP-Based Pattern: Ensures compliance with the latest university exam structure.

Program Class: Diploma / B.Sc. CS

Year: II

Semester: IV

Subject: B.Sc. Computer Science

Course Title: Python Programming.

Course Learning Outcomes:

On completion of this course, learners will be able to:

To learn how to design and program Python applications. To learn how to use lists, tuples, and dictionaries in Python programs. To learn how to identify Python object types. To learn how to use indexing and slicing to access data in Python programs.

Credits: 4

Core Compulsory

Max. Marks: –25+75

Min. Passing Marks: 33

Unit

Topics

I

Overview of Python: History & Versions, Features of Python, Execution of a Python Program, Flavours of Python, Innards of Python, Python Interpreter, Memory Management in Python, Garbage Collection in Python, Comparison of Python with C and Java, Installing Python, Writing and Executing First Python Program, Getting Help, IDLE.

II

Data Types, Variables and Other Basic Elements: Comments Docstrings, Data types, Basic Elements of Python, Variables, Input Function, Output Statements, the print () function, control statements, Operators.

III

Functions: Function definition and call, Returning Results, Returning Multiple Values from a Function, Built-in Functions, Pass Value by Object Reference, Parameters and Arguments, Formal and Actual Arguments, Positional guments Keyword Arguments, Default Arguments, Arbitrary Arguments, Recursive, Modules in Python.

IV

Strings: Creating Strings, Functions of Strings, working with Strings, Length of a String, Indexing and Slicing, Repeating and Concatenating Strings, Checking Membership, Comparing Strings, Removing Spaces, Finding Substrings, Counting Substrings, Immutability, Splitting and Joining Strings, Changing Case, Checking Starting and Ending of a String, Sorting Strings, searching in the Strings, Finding the Number of Characters and Words, Inserting Substrings into a String.

V

List and Tuples: Lists, List Functions and Methods, List Operations, List Slices, Nested Lists, Tuples, Functions in Tuple.

Dictionaries: Creating a Dictionary, Operators in Dictionary, Dictionary  ethods, Using for Loop with Dictionaries, Operations on Dictionaries, Converting Lists into Dictionary, Converting Strings into Dictionary, Passing Dictionaries to Functions, Sorting the Elements of a Dictionary, Ordered Dictionaries.

Reference Books:

1. Practical Programming: An Introduction to Computcr Scicnce Using Python 3, Paul Gries , Jennifer Campbell, Jason Montojo, Pragmatic Bookshelf, 2nd Edition, 2014.

2. Programming through Python, M. T Savaliya, R. K. Maurya& G M Magar, Sybgen Learning India. 2020.

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