problem solving and programming lecture notes

Problem Solving and Programming | Unit 1 – 6 Notes

Course objectives:.

Prime objective is to give students a basic introduction to programming and problem solving with computer language Python. And to introduce students not merely to the coding of computer programs, but to computational thinking, the methodology of computer programming, and the principles of good program design including modularity and encapsulation.

• To understand problem solving, problem solving aspects, programming and to know about various program design tools.
• To learn problem solving with computers
• To learn basics, features and future of Python programming.
• To acquaint with data types, input output statements, decision making, looping and functions in Python
• To learn features of Object Oriented Programming using Python
• To acquaint with the use and benefits of files handling in Python

Examination Scheme:

In Semester : 30 Marks End Semester: 70 Marks PR: 25 Marks

Download Notes

Download question papers 🔗, unit i: problem solving, programming and python programming.

General Problem Solving Concepts- Problem solving in everyday life, types of problems, problem solving with computers, difficulties with problem solving, problem solving aspects, top down design. Problem Solving Strategies, Program Design Tools: Algorithms, Flowcharts and Pseudo-codes, implementation of algorithms. Basics of Python Programming: Features of Python, History and Future of Python, Writing and executing Python program, Literal constants, variables and identifiers, Data Types, Input operation, Comments, Reserved words, Indentation, Operators and expressions, Expressions in Python.

Unit 2: Decision Control Statements

Decision Control Statements: Decision control statements, Selection/conditional branching Statements: if, if-else, nested if, if-elif-else statements. Basic loop Structures/Iterative statements: while loop, for loop, selecting appropriate loop. Nested loops, The break, continue, pass, else statement used with loops. Other data types- Tuples, Lists and Dictionary.

Unit 3: Functions and Modules

Need for functions, Function: definition, call, variable scope and lifetime, the return statement. Defining functions, Lambda or anonymous function, documentation string, good programming practices. Introduction to modules, Introduction to packages in Python, Introduction to standard library modules.

Unit 4: Strings

Strings and Operations- concatenation, appending, multiplication and slicing. Strings are immutable, strings formatting operator, built in string methods and functions. Slice operation, ord() and chr() functions, in and not in operators, comparing strings, Iterating strings, the string module.

Unit 5: Object Oriented Programming

Programming Paradigms-monolithic, procedural, structured and object oriented, Features of Object oriented programming-classes, objects, methods and message passing, inheritance, polymorphism, containership, reusability, delegation, data abstraction and encapsulation. Classes and Objects: classes and objects, class method and self object, class variables and object variables, public and private members, class methods.

Unit 6: File Handling and Dictionaries

Files: Introduction, File path, Types of files, Opening and Closing files, Reading and Writing files. Dictionary method. Dictionaries- creating, assessing, adding and updating values. Case Study: Study design, features, and use of any recent, popular and efficient system developed using Python. (This topic is to be excluded for theory examination).

• Computer Science and Engineering
• NOC:Problem Solving through Programming in C (Video) 
• Co-ordinated by : IIT Kharagpur
• Available from : 2017-12-21
• Intro Video
• Lecture 1 : Introduction
• Lecture 2 : Idea of Algorithms
• Lecture 3 : Flow Chart and Pseudocode
• Lecture 4 : Introduction to Programming Language Concepts
• Lecture 5 : Variables and Memory
• Lecture 6 : Types of Software and Compilers
• Lecture 7 : Introduction to C Programming Language
• Lecture 8 : Variables and Variable Types in C
• Lecture 9 : Introducing Functions
• Lecture 10 : Address and Content of Variables and Types
• Lecture 11 : Assignment Statement and Operators in C
• Lecture 12 : Arithmetic Expressions and Relational Expressions
• Lecture 13 : Logical Operators and Change in Control Flow
• Lecture 14 : Use of Logical Operaotrs in Branching
• Lecture 15 : Branching : IF - ELSE Statement
• Lecture 16 : IF-ELSE Statement (Contd.)
• Lecture 17 : Switch statement
• Lecture 18 : Switch Statement (Contd.) and Introduction to Loops
• Lecture 19 : Implementing Repetitions (Loops)
• Lecture 20 : Implementation of Loops with for Statement (Contd.)
• Lecture 21 : For Statement (Contd.)
• Lecture 22 : Example of If-Else
• Lecture 23 : Example of Loops
• Lecture 24 : Example of Loops (Contd.)
• Lecture 25: Example of Loops (Contd.), Use of FOR Loops
• Lecture 26 : Introduction to Arrays
• Lecture 27 : Arrays (Contd.)
• Lecture 28 : Arrays (Contd.)
• Lecture 29 : Program using Arrays
• Lecture 30 : Array Problem
• Lecture 31 : Linear Search
• Lecture 32 : Character Array and Strings
• Lecture 33 : String Operations
• Lecture 34 : 2-D Array Operation
• Lecture 35 : Introducing Functions
• Lecture 36 : More on Functions
• Lecture 37 : Function (Contd.)
• Lecture 38 : Scanf and Printf Functions; Function Prototype
• Lecture 39 : Parameter Passing in Function Revision
• Lecture 40 : Parameter Passing in Function Revision (Contd.)
• Lecture 41: Substitution of # include and Macro
• Lecture 42: "search" as a function
• Lecture 43: Binary Search
• Lecture 44: Binary Search (Contd.)
• Lecture 45: Sorting Methods
• Lecture 46 : Bubble Sort (Contd.)
• Lecture 47 : Use of Pointer in Function : Context Bubble Sort
• Lecture 48 : Arrays at Strings
• Lecture 49 : Data Representation
• Lecture 50 : Bisection Method
• Lecture 51 : Interpolation
• Lecture 52 : Trapezoidal Rule and Runge-Kutta Method
• Lecture 53 : Recursion
• Lecture 54 : Recursion(Contd.)
• Lecture 55 : Structure
• Lecture 56 : Structure (Contd.)
• Lecture 57 : Structure with typedef
• Lecture 58 : Pointer
• Lecture 59 : Pointer (Contd.)
• Lecture 60 : Pointer in Structures
• Lecture 61 : Dynamic Allocation and File
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[PDF] GE3151 Problem Solving and Python Programming (PSPP) Books, Lecture Notes, 2marks with answers, Important Part B 16marks Questions, Question Bank & Syllabus

Download GE3151 Problem Solving and Python Programming (PSPP) Books Lecture Notes Syllabus Part A 2 marks with answers GE3151 Problem Solving and Python Programming (PSPP) Important Part B 16 Mark Questions , PDF Books, Question Bank with answers Key, GE3151 Problem Solving and Python Programming (PSPP) Syllabus, Local Author Books & Anna University GE3151 Problem Solving and Python Programming (PSPP) Question Papers Collection, GE3151 First Semester Anna University Regulation 2021 Study Materials (Notes).

Many collections of GE3151 study materials download links are provided below, each collection is different from other so try to read all the GE3151 study materials collections and choose the suitable one, which is easily understandable for your preparations. From the listed below links, the students & the lectures can download the Anna University GE3151 Problem Solving and Python Programming (PSPP) Syllabus Question bank Lecture Notes Part A 2 marks with answers Part B 16 marks Question Bank with an answer , Previous year Question Papers and all other important materials of GE3151 subject. The students to make use of it and score good (maximum) marks in the exams with our study materials.

“GE3151 Problem Solving and Python Programming (PSPP) Notes, Lecture Notes, Previous Years Question Papers”

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GE3151 Problem Solving and Python Programming (PSPP) Part A & Part B Important Questions with Answers

• 1.1 GE3151 Problem Solving and Python Programming (PSPP) Syllabus
• 1.2 Download Link
• 1.3 GE3151 Problem Solving and Python Programming (PSPP) Syllabus
• 1.4 GE3151 Problem Solving and Python Programming (PSPP) Lecture Notes
• 1.5 GE3151 Problem Solving and Python Programming (PSPP) unit wise 2 marks Questions with Answers
• 1.6 GE3151 Problem Solving and Python Programming (PSPP) unit wise 16 marks Questions with answers
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• 1.8 GE3151 Problem Solving and Python Programming (PSPP) Question Papers Collections
• 1.9 GE3151 Problem Solving and Python Programming (PSPP) Question Bank
• 1.10 Anna University Useful Links
• 1.11 Other Useful Links
• 1.12 GE3151 Problem Solving and Python Programming (PSPP) – FAQ

GE3151 Problem Solving and Python Programming (PSPP) Notes – Details

GE3151 Problem Solving and Python Programming (PSPP) 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.

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).

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Anna University GE3151 Problem Solving and Python Programming (PSPP) Books Question banks Lecture Notes Syllabus GE3151 Problem Solving and Python Programming (PSPP) Part A 2 marks with answers Part B 16 marks Questions with answers & Anna University GE3151 Problem Solving and Python Programming (PSPP) Question Papers Collection and Local Author Books.

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Kindly Note: They different collections of GE3151 Problem Solving and Python Programming (PSPP) Study materials are listed below. Each collection is different from others, Based on the candidate’s (your) knowledge & requirement choose the suitable material for your preparations.

• Regulation 2021 GE3151 Problem Solving and Python Programming (PSPP) Syllabus – DOWNLOAD

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GE3151 Problem Solving and Python Programming (PSPP) – FAQ

What is the Full Form of the Subject Code GE3151?

The Full Form of Subject Code GE3151 is Problem Solving and Python Programming (PSPP) .

How to Download GE3151 Notes?

The students can download the GE3151 Problem Solving and Python Programming (PSPP) Part-A 2 marks , Part-B 16 marks questions with answers (Notes) on the EasyEngineering website for preparing their upcoming First Semester examination.

Where to Download GE3151 Local Author Book PDF?

On the EasyEngineering GE3151 Problem Solving and Python Programming (PSPP) page, the students can download the Local Author Book PDF , which contains unit wise Part-A 2 marks, Part-B 16 marks important questions with answers.

How to Download Previous Years GE3151 Question Papers?

The Anna University students can download the GE3151 Problem Solving and Python Programming (PSPP) Previous Years Question Papers Collection on the GE3151 Question Papers Page, which contains the last 5 years question papers sets (GE3151 Question Bank) for the students to prepare for their upcoming First Semester examination.

In which regulation semester exam GE3151 subject is studied?

The GE3151 Problem Solving and Python Programming (PSPP) subject is studied by the Anna University Students of First Year in their First Semester Examination of 2021 Regulation .

How to download GE3151 Part-A 2 Mark Questions with Answers?

On the EasyEngineering website, the students can download the GE3151 Problem Solving and Python Programming (PSPP) Part-A 2 mark Questions with answers. These GE3151 notes are useful for those candidates who are preparing for their upcoming First Semester examination of Anna University.

How to download GE3151 Part-B 16 Mark Questions with Answers?

The students can download the GE3151 Problem Solving and Python Programming (PSPP) Part-B 16 mark Questions with answers on the EasyEngineering webpage for preparing their upcoming Anna University First Semester examination.

How to download Anna University GE3151 syllabus?

The GE3151 Problem Solving and Python Programming (PSPP) Syllabus is directly downloaded from the Anna University Regulation 2021 Syllabus page on the EasyEngineering.

How to check Anna University GE3151 Internal Marks?

The GE3151 Problem Solving and Python Programming (PSPP) Anna University Internal marks can be check by the students from the official portal of Anna University ( coe1.annauniv.edu ) . The steps to check the Anna University Internal marks are clearly explained in the EasyEngineering Anna University Internal Mark checking page.

How to check Anna University GE3151 exam results?

The GE3151 Problem Solving and Python Programming (PSPP) Anna University semester examination results can be check by the students from the official result checking pages/portals (i.e., aucoe.annauniv.edu or coe1.annauniv.edu ). Also, In the EasyEngineering website the Results checking page are available to check the Anna University current semester examination results quickly.

How to check Anna University GE3151 Grace marks details?

In the Easyengineering GE3151 Problem Solving and Python Programming (PSPP) page contains the grace mark details to notify the students to know about the grace marks provided by Anna University for the invalid or out of portions/syllabus questions asked in the current First Semester GE3151 exam.

Which Engineering department is studying the GE3151 as one subject?

The GE3151 Problem Solving and Python Programming (PSPP) subject is studied by the Anna University First Year students of Common For all departments such us Civil Engineering (CE), Mechanical Engineering (ME), Electrical and Electronics Engineering (EEE), Electronics and Communication Engineering (ECE), Electronics and Instrumentation Engineering (EIE), Computer Science Engineering (CSE), Aeronautical Engineering, Automobile Engineering & Other departments as one subject in their First Semester examination.

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[PDF] GE3151 Problem Solving and Python Programming (PSPP) Books, Lecture Notes, 2 marks with answers, Important Part B 16 Marks Questions, Question Bank & Syllabus

Download GE3151 Problem Solving and Python Programming (PSPP) Books Lecture Notes Syllabus Part-A 2 marks with answers GE3151 Problem Solving and Python Programming Important Part-B 16 marks Questions , PDF Books, Question Bank with answers Key, GE3151 Problem Solving and Python Programming Syllabus & Anna University GE3151 Problem Solving and Python Programming Question Papers Collection.

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GE3151 Problem Solving and Python Programming – Study Materials – Details

GE3151 Problem Solving and Python Programming (PSPP) “R2021 – SYLLABUS”

GE3151 PROBLEM SOLVING AND PYTHON PROGRAMMING

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.

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:

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

REFERENCES:

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

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Anna University GE3151 Problem Solving and Python Programming Books Question Banks Lecture Notes Syllabus GE3151 Problem Solving and Python Programming Part A 2 Marks with Answers Part – B 16 Marks Questions with Answers & Anna University GE3151 Problem Solving and Python Programming Question Paper Collection and Local Author Books.

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