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B.E. (Artificial Intelligence and Data Science) Python Programming Syllabus - Mumbai University

This is the FY BE AI and DS syllabus under NEP 2020, in force from the academic year 2024-25. The third and fourth years of this degree are still taught on the earlier CBCS REV-2019 'C' Scheme, because the University has published no NEP syllabus for Semesters V to VIII of any engineering branch.

Python Programming.pdf
Semester 2 · FY BE AI and DS · NEP 2020

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Syllabus for Python Programming

Semester 2 · FY BE AI and DS · NEP 2020

Module Prerequisite 1 hours

  • Prerequisite Introduction to Programming: Understanding basic concepts like algorithms, flowcharts, and pseudocode. Problem-Solving Skills: Ability to approach problems methodically and apply logical thinking to develop solutions.
  • Introduction to Python 1. Basic Syntax and Data Types - Variables and data types, Operators, Input and output, 2. Data Structures- list, tuple, set and dictionary 3. Understanding the Syntax Transition: From C to Python
  • Control Flow and Functions 2.1 Conditional Statements: if, else, elif 2.2 Loops: for and while loop 2.3 Functions- Defining functions, Parameters and return values, Scope and lifetime of variables
  • File Handling, Packaging, and Debugging 3.1 File Handling- Reading and writing files, Exception handling
  • 3.2 Creating Python Packages, Modules and executable files 3.3 Dealing with Syntax Errors, Runtime Errors and Scientific Debugging
  • Object-Oriented Programming (OOP) in Python 4.1 Introduction to OOP: Classes and objects, Encapsulation, inheritance, and polymorphism 4.2 Creating Classes and Objects: Class attributes and methods Constructor and destructor. 4.3 Type of Inheritance: Single, multiple and multilevel inheritance
  • Advanced Python Concepts 5.1 Regular Expressions, Pattern matching, Regex functions in Python 5.2 GUI Development using any Python GUI framework
  • Python Libraries 6.1 Introduction to Popular Libraries 6.2 NumPy for numerical computing, 6.3 Pandas for data manipulation 6.4 Matplotlib for data visualization

Text Books

  • 1 Core Python Programming, Dr. R. Nageswara Rao, Second Edition, Dreamtech Press.
  • 2 Beginning Python: Using Python 2.6 and Python 3.1. James Payne, Wrox Publication.
  • 3 Python Programming, Anurag Gupta and G. P. Biswas, First Edition,McGraw-Hill Education.

References

  • 1 Learn Python the Hard Way, Zed Shaw, Third Edition, Addison-Wesley.
  • 2 Python Projects, Laura Cassell,Alan Gauld, First Edition, Wrox Publication.
  • 3 Introduction to computing and problem-solving using python, Balagurusamy, First Edition, McGraw Hill Education.

Online References

  • Sr. No. Website Name
  • 1 Python Tutorial: http://docs.python.org/release/3.0.1/tutorial/
  • 0 Python for everybody specialization: https://www.coursera.org/specializations/python.

Reproduced from the University of Mumbai syllabus for B.E. (Artificial Intelligence and Data Science), item 7.7 (R-A), under NEP 2020, in force from the academic year 2024-25. Wording, module numbering and hours are as printed in that syllabus.

The complete syllabus

This subject is cut from the University circular for its year. Open a document here if you want the whole thing rather than a single subject.

PDF B.E. Artificial Intelligence and Data Science - First Year, Semester I and II - NEP 2020 - Item 7.7 (R-A) NEP 2020, Semesters I and II, in force from 2024-25 Read full PDF Read
PDF B.E. Artificial Intelligence and Data Science - Second Year, Semester III and IV - NEP 2020 - Item 6.20 (N) NEP 2020, Semesters III and IV, in force from 2025-26 Read full PDF Read
PDF B.E. Artificial Intelligence and Data Science - Third Year, Semester V and VI - CBCS REV-2019 C Scheme - Item 6.42 (R) CBCS REV-2019 'C' Scheme, Semesters V and VI, in force from 2022-23 Read full PDF Read
PDF B.E. Artificial Intelligence and Data Science - Fourth Year, Semester VII and VIII - CBCS REV-2019 C Scheme - Item 6.12 (N) CBCS REV-2019 'C' Scheme, Semesters VII and VIII, in force from 2023-24 Read full PDF Read
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