GE3151 - Problem Solving And Python Programming Syllabus Regulation 2021 Anna University

Anna University, Subject code – GE3151, deals with the B.E civil Engineering Semester – I Problem Solving And Python Programming Syllabus regulation 2021 relating to affiliated institutions. From here, Students can get assistance in preparing notes to excel in academic performance.

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If you want to know more about the syllabus of B.E Civil Engineering connected to an affiliated institution’s under four-year undergraduate degree programme. We provide you with a detailed Year-wise, semester-wise, and Subject-wise syllabus in the following link B.E Civil Engineering Syllabus Anna University, Regulation 2021.

Aim Of Concept:

  • To understand the basics of algorithmic problem-solving.
  • To learn to solve problems using Python conditionals and loops.
  • To define Python functions and use function calls to solve problems.
  • To use Python data structures – lists, tuples, dictionaries to represent complex data.
  •  To do input/output with files in Python.

GE3151 – Problem Solving And Python Programming Syllabus

Unit I: Computational Thinking And Problem Solving

Fundamentals of Computing – Identification of Computational Problems -Algorithms, building blocks of algorithms (statements, state, control flow, functions), notation (pseudo code, flow chart, programming language), algorithmic problem solving, simple strategies for developing algorithms (iteration, recursion). Illustrative problems: find minimum in a list, insert a card in a list of sorted cards, guess an integer number in a range, Towers of Hanoi.

Unit II: Data Types, Expressions, Statements

Python interpreter and interactive mode, debugging; values and types: int, float, boolean, string, and list; variables, expressions, statements, tuple assignment, precedence of operators, comments; Illustrative programs: exchange the values of two variables, circulate the values of n variables, distance between two points.

Unit III: Control Flow, Functions, Strings

Conditionals: Boolean values and operators, conditional (if), alternative (if-else), chained conditional (if-elif-else); Iteration: state, while, for, break, continue, pass; Fruitful functions: return values, parameters, local and global scope, function composition, recursion; Strings: string slices, immutability, string functions and methods, string module; Lists as arrays. Illustrative programs: square root, gcd, exponentiation, sum an array of numbers, linear search, binary search.

GE3151 - Problem Solving And Python Programming Syllabus Regulation 2021 Anna University

Unit IV: Lists, Tuples, Dictionaries

Lists: list operations, list slices, list methods, list loop, mutability, aliasing, cloning lists, list parameters; Tuples: tuple assignment, tuple as return value; Dictionaries: operations and methods; advanced list processing – list comprehension; Illustrative programs: simple sorting, histogram, Students marks statement, Retail bill preparation.

Unit V: Files, Modules, Packages

Files and exception: text files, reading and writing files, format operator; command line arguments, errors and exceptions, handling exceptions, modules, packages; Illustrative programs: word count, copy file, Voter’s age validation, Marks range validation (0-100).

Text Books:

  1. Allen B. Downey, “Think Python: How to Think like a Computer Scientist”, 2nd Edition, O’Reilly Publishers, 2016.
  2. Karl Beecher, “Computational Thinking: A Beginner’s Guide to Problem Solving and Programming”, 1st Edition, BCS Learning & Development Limited, 2017.

References:

  1. Paul Deitel and Harvey Deitel, “Python for Programmers”, Pearson Education, 1st Edition, 2021.
  2. G Venkatesh and Madhavan Mukund, “Computational Thinking: A Primer for Programmers and Data Scientists”, 1st Edition, Notion Press, 2021.
  3. John V Guttag, “Introduction to Computation and Programming Using Python: With Applications to Computational Modeling and Understanding Data”, Third Edition, MIT Press 2021
  4. Eric Matthes, “Python Crash Course, A Hands-on Project Based Introduction to Programming”, 2nd Edition, No Starch Press, 2019.
  5. https://www.python.org/
  6. Martin C. Brown, “Python: The Complete Reference”, 4th Edition, Mc-Graw Hill,2018.

Get details of other branches which are providing by the anna university under four year undergraduate programme connected to affiliated institutions in detailed way in this link,  Anna University Regulation 2021.

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