GE3151 problem solving and python programming - Syllabus

Feb 20, 2022Download as docx, pdf

1 like1,288 views

Fatima Michael College of Engineering and Technology

This document outlines the course objectives and units for GE3151 Problem Solving and Python Programming. The course aims to teach students algorithmic problem solving, Python programming using conditionals and loops, defining functions, and using Python data structures like lists, tuples and dictionaries. The 5 units cover computational thinking, Python data types and expressions, control flow and functions, lists and tuples, and files and modules. Upon completing the course students will be able to develop algorithmic solutions, write Python programs using conditionals and loops, decompose programs into functions, represent compound data, and read/write files in Python programs.

GE3151 PROBLEM SOLVING AND PYTHON PROGRAMMING 3 0 0 3
COURSE OBJECTIVES:
● 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.
UNIT I COMPUTATIONAL THINKING AND PROBLEM SOLVING 9
Fundamentalsof Computing –Identificationof Computational Problems -Algorithms, building blocks of
algorithms(statements,state,control flow,functions),notation(pseudocode,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 9
Pythoninterpreter and interactive mode, debugging; values and types: int, float, boolean, string , and
list; variables, expressions, statements, tuple assignment, precedence of operators, comments;
Illustrativeprograms:exchange the valuesof twovariables,circulate the values of n variables, distance
between two points.
UNIT III CONTROL FLOW, FUNCTIONS, STRINGS 9
Conditionals:Booleanvaluesandoperators,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 9
Lists:listoperations,listslices,listmethods,listloop, 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 9
Files and exceptions: text files, reading and writing files, format operator; command line arguments,
errorsand exceptions,handlingexceptions,modules,packages;Illustrative programs: word count, copy
file, Voter’s age validation, Marks range validation (0-100).
TOTAL : 45 PERIODS
COURSE OUTCOMES:
Upon completion of the course, students will be able to
CO1: Develop algorithmic solutions to simple computational problems.
CO2: Develop and execute simple Python programs.
CO3: Write simple Python programs using conditionals and loops for solving problems.
CO4: Decompose a Python program into functions.
CO5: Represent compound data using Python lists, tuples, dictionaries etc.
CO6: Read and write data from/to files in Python programs.

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'sGuide toProblemSolvingandProgramming”,1st
Edition, BCS Learning & Development Limited, 2017.
REFERENCES:
1. Paul Deitel and Harvey Deitel, “Python for Programmers”, Pearson Education, 1st Edition, 2021.
2. G VenkateshandMadhavan 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.

This document discusses functions in C++. It defines what a function is and explains that functions are the building blocks of C++ programs. Functions allow code to be reused, making programs easier to code, modify and maintain. The document covers function definitions, declarations, calls, parameters, return types, scope, and overloading. It also discusses local and global variables as well as pass by value and pass by reference.

Variables & Data Types In Python | EdurekaEdureka!

YouTube Link: https://youtu.be/6yrsX752CWk (** Python Certification Training: https://www.edureka.co/python **) This Edureka PPT on 'Variables and Data Types in Python' will help you establish a foothold on Python by helping you learn basic concepts like variables and data types. Below are the topics covered in this PPT: Introduction To Python Applications Of Python Variable Declaration Variable Data Types Type Conversion Python Tutorial Playlist: https://goo.gl/WsBpKe Blog Series: http://bit.ly/2sqmP4s Follow us to never miss an update in the future. YouTube: https://www.youtube.com/user/edurekaIN Instagram: https://www.instagram.com/edureka_learning/ Facebook: https://www.facebook.com/edurekaIN/ Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka

input/ output in javasharma230399

The document discusses input/output streams in Java. There are two types of streams: byte streams and character streams. Byte streams handle input and output of bytes for binary files, while character streams handle input and output of characters for text files. Java also defines three standard streams for input, output, and errors that are represented by System.in, System.out, and System.err respectively. The document provides examples of different stream types and how they are used for input and output in Java programs.

Python ModulesNitin Reddy Katkam

Python modules allow code reuse and organization. A module is a Python file with a .py extension that contains functions and other objects. Modules can be imported and their contents accessed using dot notation. Modules have a __name__ variable that is set to the module name when imported but is set to "__main__" when the file is executed as a script. Packages are collections of modules organized into directories, with each directory being a package. The Python path defines locations where modules can be found during imports.

Functions in python slide shareDevashish Kumar

The document discusses various concepts related to functions in Python including defining functions, passing arguments, default arguments, arbitrary argument lists, lambda expressions, function annotations, and documentation strings. Functions provide modularity and code reusability. Arguments can be passed by value or reference and default values are evaluated once. Keyword, arbitrary and unpacked arguments allow flexible calling. Lambda expressions define small anonymous functions. Annotations provide type metadata and docstrings document functions.

Synchronous and Asynchronous TransmissionAdeel Rasheed

Synchronous communication requires that the transmitting and receiving devices have synchronized clocks running at the same rate to allow data to flow continuously in blocks or frames in a full duplex mode, making it efficient and reliable for transferring large amounts of data, as is used for chat rooms, video calls, and phone conversations. In asynchronous transmission, data is sent intermittently without an external clock, flowing in a half duplex mode one byte at a time, generally with 8 data bits plus a start and stop bit, and is used for letters, emails, television, and radio.

Presentation on risc pipelineArijit Chakraborty

The document summarizes the RISC pipeline architecture. It discusses the five stages of the classic RISC pipeline: instruction fetch, instruction decode, execute, memory access, and writeback. Each stage is involved in processing one instruction at a time through the pipeline. The instruction fetch stage retrieves instructions from the instruction cache. The decode stage decodes the instruction and computes branch targets. The execute stage performs arithmetic and logical operations. The memory access stage handles data memory access. Finally, the writeback stage writes results back to registers. The document also discusses hazards like structural, data, and control hazards that can occur in pipelines.

Introduction to pythonAyshwarya Baburam

This document provides an overview of the Python programming language. It discusses what Python is, its key features, who uses it, common applications, and how to download and install Python. It then covers Python syntax concepts like identifiers, keywords, multiline statements, docstrings, indentation, comments, and string formatting. The document also introduces Python data types like numbers, strings, lists, tuples, dictionaries, sets and how to work with them. It describes how to convert between number types and access/update strings and lists. Finally, it discusses Python development environments like Anaconda and Spyder.

Beginning Python ProgrammingSt. Petersburg College

Python is a widely-used and powerful computer programming language that has helped system administrators manage computer networks and problem solve computer systems for decades. Python has also built some popular applications like BitTorrent, Blender, Calibre, Dropbox, and much more. Going further, the “Pi” in Raspberry Pi stands for Python, so learning Python will instill more confidence when working with Raspberry Pi projects. Python is usually the first programming language people learn primarily because it is easy to learn and provides a solid foundation to learn other computer programming languages. In this webinar, • Learn what Python is and what it is capable of doing. • Install Python’s IDE for Windows and work in the Python shell. • Use calculations, variables, strings, lists, and if statements. • Discover Python’s built-in functions and understand modules. • Create simple programs to build on later. The recording is available at https://youtu.be/ThcWmJFf-ho.

Python librariesProf. Dr. K. Adisesha

This document discusses Python libraries and modules. It defines a library as a collection of modules that provide specific functionality. The standard library contains commonly used modules like math and random. Other important libraries mentioned are NumPy, SciPy, and tkinter. A module is a .py file that contains related variables, classes, functions etc. Modules can be imported using import, from, or from * statements. Namespaces and module aliasing are also covered. The document concludes by explaining how to create Python packages and the role of the __init__.py file in making a directory a package.

Python : Data TypesEmertxe Information Technologies Pvt Ltd

All data values in Python are encapsulated in relevant object classes. Everything in Python is an object and every object has an identity, a type, and a value. Like another object-oriented language such as Java or C++, there are several data types which are built into Python. Extension modules which are written in C, Java, or other languages can define additional types. To determine a variable's type in Python you can use the type() function. The value of some objects can be changed. Objects whose value can be changed are called mutable and objects whose value is unchangeable (once they are created) are called immutable.

Basic Concepts in PythonSumit Satam

PythonMohammad Junaid Khan

File handling in cDavid Livingston J

The document discusses files and file operations in C/C++. It defines a file as a collection of bytes stored on a secondary storage device. There are different types of files like text files, data files, program files, and directory files. It describes opening, reading, writing, appending, and closing files using functions like fopen(), fread(), fwrite(), fclose(), etc. It also discusses random and sequential file access and modifying file contents using functions like fseek(), fread(), fwrite().

Operators in pythonPrabhakaran V M

This document discusses different types of operators in Python programming. It defines operators as symbols that represent operations that can be performed on operands or values. The main types of operators covered are: arithmetic operators for mathematical operations, relational operators for comparisons, logical operators for Boolean logic, assignment operators for assigning values, and special operators like identity and membership. Examples are provided to demonstrate the usage of each operator type.

Computer Networks Lecture NotesFellowBuddy.com

FellowBuddy.com is an innovative platform that brings students together to share notes, exam papers, study guides, project reports and presentation for upcoming exams. We connect Students who have an understanding of course material with Students who need help. Benefits:- # Students can catch up on notes they missed because of an absence. # Underachievers can find peer developed notes that break down lecture and study material in a way that they can understand # Students can earn better grades, save time and study effectively Our Vision & Mission – Simplifying Students Life Our Belief – “The great breakthrough in your life comes when you realize it, that you can learn anything you need to learn; to accomplish any goal that you have set for yourself. This means there are no limits on what you can be, have or do.” Like Us - https://www.facebook.com/FellowBuddycom

Pentium (80586) Microprocessor By Er. Swapnil KawareProf. Swapnil V. Kaware

The 80386 microprocessor was introduced by Intel in 1985. It had a 32-bit data bus and 32-bit address bus, allowing it to access up to 4GB of memory. It improved on the 80286 by including a memory management unit and paging capabilities. The 80386 operated in real, protected, and virtual modes and could address memory using various addressing modes including scaled indexed addressing. It had enhanced 32-bit registers and introduced debugging features like breakpoints using debug registers. Paging divided memory into fixed-size pages allowing more efficient memory management for multitasking systems.

Introduction to Compiler Construction Sarmad Ali

Relationship Among Token, Lexeme & PatternBharat Rathore

Relationship among Token, Lexeme and Pattern Outline Token Lexeme Pattern Relationship Tokens : A token is sequence of characters that can be treated as a unit/single logical entity. Examples Keywords Examples : for, while, if etc. Identifier Examples : Variable name, function name, etc. Operators Examples : '+', '++', '-' etc. Separators Examples : ',' ';' etc. Pattern Pattern is a rule describing all those lexemes that can represent a particular token in a source language. Lexeme It is a sequence of characters in the source program that is matched by the pattern for a token. Example : “float”, “=“, “223”, “;”

Error Detection & RecoveryAkhil Kaushik

Variables in pythonJaya Kumari

Functions in pythoncolorsof

Functions allow programmers to organize code into reusable blocks. There are built-in functions and user-defined functions. Functions make code easier to develop, test and reuse. Variables inside functions can be local, global or nonlocal. Parameters pass data into functions, while functions can return values. Libraries contain pre-defined functions for tasks like mathematics and string manipulation.

Introduction to JAVAParminderKundu

Routers.pptkirbadh

Routers connect different computer networks and forward data packets between them by reading the address information in each packet to determine the ultimate destination. A router contains a routing table with information about connected networks and uses this to determine the best path for packets to travel through multiple networks to reach their destination. There are two main types of routers: core routers connect different cities while edge routers connect users and hosts to networks.

Pointer in clavanya marichamy

Pointer is a variable that stores the address of another variable. Pointers in C are used to allocate memory dynamically at runtime and can point to data of any type such as int, float, char, etc. Pointers are declared with a * before the variable name and are initialized using the address operator &. Pointers can be used to pass arguments to functions by reference and can also point to elements within structures.

Scope rules : local and global variablessangrampatil81

Datatypes in pythoneShikshak

The document discusses various Python datatypes. It explains that Python supports built-in and user-defined datatypes. The main built-in datatypes are None, numeric, sequence, set and mapping types. Numeric types include int, float and complex. Common sequence types are str, bytes, list, tuple and range. Sets can be created using set and frozenset datatypes. Mapping types represent a group of key-value pairs like dictionaries.

Python Exception HandlingMegha V

The document discusses Python exception handling. It describes three types of errors in Python: compile time errors (syntax errors), runtime errors (exceptions), and logical errors. It explains how to handle exceptions using try, except, and finally blocks. Common built-in exceptions like ZeroDivisionError and NameError are also covered. The document concludes with user-defined exceptions and logging exceptions.

GE3151_PSPP_All unit _NotesGuru Nanak Technical Institutions

This document outlines the syllabus for the course GE3151 Problem Solving and Python Programming. It includes 5 units that cover topics like computational thinking, Python data types, control flow, functions, lists, tuples, dictionaries, files and modules. The objectives of the course are to understand algorithmic problem solving, learn to solve problems using Python conditionals and loops, define functions and use data structures like lists and tuples. It also aims to teach input/output with files in Python. The document provides the number of periods (45) and textbooks recommended for the course.

GE3151 PSPP All unit question bank.pdfGuru Nanak Technical Institutions

This document outlines the syllabus for the course GE3151 Problem Solving and Python Programming. It contains 5 units that cover topics such as algorithmic problem solving, Python data types and expressions, control flow and functions in Python, Python lists, tuples and dictionaries, and files and modules in Python. The objectives of the course are to teach students how to solve problems using Python conditionals and loops, define Python functions, use Python data structures, perform input/output with files, and more. Each unit is allocated a certain number of periods to be taught and includes example programs to illustrate the concepts covered.

More Related Content

What's hot (20)

Beginning Python ProgrammingSt. Petersburg College

Python librariesProf. Dr. K. Adisesha

Python : Data TypesEmertxe Information Technologies Pvt Ltd

Basic Concepts in PythonSumit Satam

PythonMohammad Junaid Khan

File handling in cDavid Livingston J

Operators in pythonPrabhakaran V M

Computer Networks Lecture NotesFellowBuddy.com

Pentium (80586) Microprocessor By Er. Swapnil KawareProf. Swapnil V. Kaware

Introduction to Compiler Construction Sarmad Ali

Relationship Among Token, Lexeme & PatternBharat Rathore

Error Detection & RecoveryAkhil Kaushik

Variables in pythonJaya Kumari

Functions in pythoncolorsof

Introduction to JAVAParminderKundu

Routers.pptkirbadh

Pointer in clavanya marichamy

Scope rules : local and global variablessangrampatil81

Datatypes in pythoneShikshak

Python Exception HandlingMegha V

Beginning Python ProgrammingSt. Petersburg College

Python librariesProf. Dr. K. Adisesha

Python : Data TypesEmertxe Information Technologies Pvt Ltd

Basic Concepts in PythonSumit Satam

PythonMohammad Junaid Khan

File handling in cDavid Livingston J

Operators in pythonPrabhakaran V M

Computer Networks Lecture NotesFellowBuddy.com

Pentium (80586) Microprocessor By Er. Swapnil KawareProf. Swapnil V. Kaware

Introduction to Compiler Construction Sarmad Ali

Relationship Among Token, Lexeme & PatternBharat Rathore

Error Detection & RecoveryAkhil Kaushik

Variables in pythonJaya Kumari

Functions in pythoncolorsof

Introduction to JAVAParminderKundu

Routers.pptkirbadh

Pointer in clavanya marichamy

Scope rules : local and global variablessangrampatil81

Datatypes in pythoneShikshak

Python Exception HandlingMegha V

Similar to GE3151 problem solving and python programming - Syllabus (20)

GE3151_PSPP_All unit _NotesGuru Nanak Technical Institutions

GE3151 PSPP All unit question bank.pdfGuru Nanak Technical Institutions

Python-content-1.pdfpanimalarhemdochemla

This document provides an introduction to a book about problem solving and Python programming. It contains the preface, introduction, table of contents, and list of authors. The preface explains that the book teaches how to understand and create computer programs in Python to solve problems in any area of interest. It uses plain language and step-by-step explanations. The introduction provides an overview of Python as a programming language that is widely used both professionally and educationally. It then lists the authors of the book. The table of contents outlines the 5 units that will be covered in the book.

GE3151_PSPP_UNIT_3_NotesGuru Nanak Technical Institutions

This document outlines the objectives and units of study for the course GE3151 Problem Solving and Python Programming. The objectives include understanding algorithmic problem solving, learning to solve problems using Python conditionals and loops, defining functions, and using data structures like lists, tuples and dictionaries. The 5 units of study are: Computational Thinking and Problem Solving, Data Types Expressions and Statements, Control Flow Functions and Strings, Lists Tuples and Dictionaries, and Files Modules and Packages. Some example problems and programs are provided for each unit to illustrate the concepts covered.

Computer_Science_Sr.Sec_2021-22.pdfSathyaPrabha11

This document provides the syllabus for Computer Science for classes 11 and 12. For class 11, it outlines 6 learning outcomes, distributes marks over 3 units between theory and practical exams, and provides details of the syllabus to be covered in terms 1 and 2. The syllabus covers computer systems and organization, computational thinking and programming, and society, law and ethics. For class 12, it lists 1 prerequisite, 5 learning outcomes, distributes marks over 3 units between theory and practical exams. The syllabus expands on computational thinking and programming, introduces computer networks and database management. It also provides guidance on textbooks, support materials and suggested practical programs.

PP ECE A Sec UNIT-1.pptxVenkateswara Babu Ravipati

This document outlines the syllabus for an open elective course on Python programming for 4th year B.Tech ECE students in the 2022-23 academic year. The syllabus covers 5 units - introduction to Python, data types and operators, functions, object oriented programming, and the Python standard library. Some key topics include variables, control flow, lists, tuples, sets, dictionaries, modules, classes, inheritance, exceptions, and testing. The course objectives are to introduce scripting languages, various problem solving approaches, and building software for real needs. The course outcomes are developing skills to easily create software, gain experience with an interpreted language, and implement solutions using current technologies. References include textbooks on Python programming and links for

pp hand out (1).docssuser244a2a

This document provides information about the Python Programming course offered in the third year of a B.Tech program. The course aims to teach students the basics of Python programming language including data types, operators, control structures, functions, modules, strings, regular expressions, sequences, object-oriented concepts, inheritance, exception handling, and commonly used Python libraries like NumPy and Pandas. Students will be evaluated through mid-semester exams, presentations, and a final exam. The course intends to help students apply programming concepts to problem solving and analyze various data structures and object-oriented problems.

pp hand out (1).docssuser244a2a

Cs syllabus 22ALPAMATHUR2

This document outlines the syllabus for Computer Science for Class XI. It includes 3 units: 1) Computer Systems and Organization, which covers basic computer hardware, software, operating systems, and number systems. 2) Computational Thinking and Programming - 1, which introduces Python programming, data types, operators, control flow, strings, lists, tuples, dictionaries, and modules. 3) Society, Law and Ethics, covering topics like digital footprint, cybercrime, privacy, and IT laws. The syllabus is divided into two terms, with Term 1 covering basic concepts and Term 2 focusing more on Python programming constructs. Students will complete practical assignments and a final project involving Python code.

emrs syllabus.pdfWorkHard38

This document outlines the syllabus for a course on Computer Systems and Organisation. It covers topics such as basic computer organisation including hardware, software, memory and operating systems. It also covers digital logic, number systems, encoding schemes and computational thinking including problem solving techniques, Python programming basics like data types, operators, control flow and strings, lists, tuples, dictionaries and modules. Additional topics include computer networks, database management, introduction to computer systems, and Python programming constructs like control statements and lists.

Python for Engineers-AI102Prgdefhdhfb.pptxLatikaSharma62

Well Grounded Python Coding - Revision 1 (Day 1 Handouts)Worajedt Sitthidumrong

Well Grounded Python Coding - Revision 1 (Day 1 Slides)Worajedt Sitthidumrong

GE3151_PSPP_UNIT_5_NotesGuru Nanak Technical Institutions

This document outlines the objectives and units of study for the course GE3151 Problem Solving and Python Programming. The course aims to teach algorithmic problem solving using Python conditionals, loops, functions, and data structures like lists, tuples and dictionaries. Students will learn to do input/output with files in Python. The 5 units cover computational thinking and problem solving, Python data types and statements, control flow and functions, lists, tuples and dictionaries, and files, modules and packages. Key concepts covered include algorithms, conditionals, iteration, functions, strings, lists, files operations like reading, writing and closing files, and exception handling.

report on internshala python training surabhimalviya1

The document is an internship report submitted by Debarati Banik to the Department of Computer Science and Engineering at the Institute of Engineering and Technology in Lucknow, India. It details Banik's participation in a summer 2022 internship with Internshala Trainings, where they learned Python programming, SQLite database connectivity, GUI development with PyQt, and applications of Python. The report includes acknowledgments, descriptions of the training modules, daily activities, problem analysis of a sample cricket team management game, coding examples, and bibliography.

GE3171-PROBLEM SOLVING AND PYTHON PROGRAMMING LABORATORYANJALAI AMMAL MAHALINGAM ENGINEERING COLLEGE

The document provides a lab manual for the course GE3171 - Problem Solving and Python Programming Laboratory. It includes the course objectives, list of experiments, syllabus, and programs for various experiments involving Python programming concepts like lists, tuples, conditionals, loops, functions etc. The experiments cover problems on real-life applications such as electricity billing, library management, vehicle components, building materials etc. The document demonstrates how to write Python programs to solve such problems and validate the output.

GE3151_PSPP_UNIT_2_NotesGuru Nanak Technical Institutions

This document outlines the objectives and content of the course GE3151 Problem Solving and Python Programming. The course is intended to teach students the basics of algorithmic problem solving using Python. It covers topics like computational thinking, Python data types, control flow, functions, strings, lists, tuples, dictionaries, files and modules. The course contains 5 units that will teach students how to define problems, develop algorithms, implement solutions in Python using conditionals, loops, functions and data structures, perform input/output with files and use modules and packages.

Data Structure and Algorithms (DSA) with Pythonepsilonice

JNTUH_MCA_SYLLABUS_R22_ALL_READING_MCA IMPORTvenu770511

R22MCASyllabus(1).docx_MCAMCAMCAMCAMCAMCAMCAMMMMMMMMvenu770511

GE3151_PSPP_All unit _NotesGuru Nanak Technical Institutions

GE3151 PSPP All unit question bank.pdfGuru Nanak Technical Institutions

Python-content-1.pdfpanimalarhemdochemla

GE3151_PSPP_UNIT_3_NotesGuru Nanak Technical Institutions

Computer_Science_Sr.Sec_2021-22.pdfSathyaPrabha11

PP ECE A Sec UNIT-1.pptxVenkateswara Babu Ravipati

pp hand out (1).docssuser244a2a

Cs syllabus 22ALPAMATHUR2

emrs syllabus.pdfWorkHard38

Python for Engineers-AI102Prgdefhdhfb.pptxLatikaSharma62

Well Grounded Python Coding - Revision 1 (Day 1 Handouts)Worajedt Sitthidumrong

Well Grounded Python Coding - Revision 1 (Day 1 Slides)Worajedt Sitthidumrong

GE3151_PSPP_UNIT_5_NotesGuru Nanak Technical Institutions

report on internshala python training surabhimalviya1

GE3171-PROBLEM SOLVING AND PYTHON PROGRAMMING LABORATORYANJALAI AMMAL MAHALINGAM ENGINEERING COLLEGE

GE3151_PSPP_UNIT_2_NotesGuru Nanak Technical Institutions

Data Structure and Algorithms (DSA) with Pythonepsilonice

JNTUH_MCA_SYLLABUS_R22_ALL_READING_MCA IMPORTvenu770511

R22MCASyllabus(1).docx_MCAMCAMCAMCAMCAMCAMCAMMMMMMMMvenu770511

Recently uploaded (20)

SEW make Brake BE05 – BE30 Brake – Repair Kitprojectultramechanix

chemistry investigatory project for class 12Susis10

11th International Conference on Data Mining (DaMi 2025)kjim477n

Welcome To DAMI 2025 Submit Your Research Articles...!!! 11th International Conference on Data Mining (DaMi 2025) July 26 ~ 27, 2025, London, United Kingdom Submission Deadline : June 07, 2025 Paper Submission : https://csit2025.org/submission/index.php Contact Us : Here's where you can reach us : [email protected] or [email protected] For more details visit : Webpage : https://csit2025.org/dami/index

ACEP Magazine Fifth Edition on 5june2025Rahul

This document provides information about the Fifth edition of the magazine "Sthapatya" published by the Association of Civil Engineers (Practicing) Aurangabad. It includes messages from current and past presidents of ACEP, memories and photos from past ACEP events, information on life time achievement awards given by ACEP, and a technical article on concrete maintenance, repairs and strengthening. The document highlights activities of ACEP and provides a technical educational article for members.

operationg systemsdocumentmemorymanagementSNIGDHAAPPANABHOTLA

Structure of OS ppt Structure of OsS pptWahajch

Impurities of Water and their Significance.pptxdhanashree78

Structural Design for Residential-to-Restaurant ConversionDanielRoman285499

David Boutry - Mentors Junior DevelopersDavid Boutry

First Review PPT gfinal gyft ftu liu yrfut goSowndarya6

CyberShieldX provides end-to-end security solutions, including vulnerability assessment, penetration testing, and real-time threat detection for business websites. It ensures that organizations can identify and mitigate security risks before exploitation. Unlike traditional security tools, CyberShieldX integrates AI models to automate vulnerability detection, minimize false positives, and enhance threat intelligence. This reduces manual effort and improves security accuracy. Many small and medium businesses lack dedicated cybersecurity teams. CyberShieldX provides an easy-to-use platform with AI-powered insights to assist non-experts in securing their websites. Traditional enterprise security solutions are often expensive. CyberShieldX, as a SaaS platform, offers cost-effective security solutions with flexible pricing for businesses of all sizes. Businesses must comply with security regulations, and failure to do so can result in fines or data breaches. CyberShieldX helps organizations meet compliance requirements efficiently.

WIRELESS COMMUNICATION SECURITY AND IT’S PROTECTION METHODSsamueljackson3773

In this paper, the author discusses the concerns of using various wireless communications and how to use them safely. The author also discusses the future of the wireless industry, wireless communication security, protection methods, and techniques that could help organizations establish a secure wireless connection with their employees. The author also discusses other essential factors to learn and note when manufacturing, selling, or using wireless networks and wireless communication systems.

Semi-Conductor ppt ShubhamSeSemi-Con.pptxstudyshubham18

fHUINhKG5lM1WBBk608.pptxfhjjhhjffhiuhhghjyadavshivank2006

The first edition of the AIAG-VDA FMEA.pptxMayank Mathur

New Microsoft Office Word Documentfrf.docxmisheetasah

Top Cite Articles- International Journal on Soft Computing, Artificial Intell...ijscai

International Journal on Soft Computing, Artificial Intelligence and Applications (IJSCAI) is an open access peer-reviewed journal that provides an excellent international forum for sharing knowledge and results in theory, methodology and applications of Artificial Intelligence, Soft Computing. The Journal looks for significant contributions to all major fields of the Artificial Intelligence, Soft Computing in theoretical and practical aspects. The aim of the Journal is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field.

Présentation_gestion[1] [Autosaved].pptxKHADIJAESSAKET

FINAL 2013 Module 20 Corrosion Control and Sequestering PPT Slides.pptxkippcam

IOt Based Research on Challenges and FutureSACHINSAHU821405

Rigor, ethics, wellbeing and resilience in the ICT doctoral journeyYannis

The doctoral thesis trajectory has been often characterized as a “long and windy road” or a journey to “Ithaka”, suggesting the promises and challenges of this journey of initiation to research. The doctoral candidates need to complete such journey (i) preserving and even enhancing their wellbeing, (ii) overcoming the many challenges through resilience, while keeping (iii) high standards of ethics and (iv) scientific rigor. This talk will provide a personal account of lessons learnt and recommendations from a senior researcher over his 30+ years of doctoral supervision and care for doctoral students. Specific attention will be paid on the special features of the (i) interdisciplinary doctoral research that involves Information and Communications Technologies (ICT) and other scientific traditions, and (ii) the challenges faced in the complex technological and research landscape dominated by Artificial Intelligence.

SEW make Brake BE05 – BE30 Brake – Repair Kitprojectultramechanix

chemistry investigatory project for class 12Susis10

11th International Conference on Data Mining (DaMi 2025)kjim477n

ACEP Magazine Fifth Edition on 5june2025Rahul

operationg systemsdocumentmemorymanagementSNIGDHAAPPANABHOTLA

Structure of OS ppt Structure of OsS pptWahajch

Impurities of Water and their Significance.pptxdhanashree78

Structural Design for Residential-to-Restaurant ConversionDanielRoman285499

David Boutry - Mentors Junior DevelopersDavid Boutry

First Review PPT gfinal gyft ftu liu yrfut goSowndarya6

WIRELESS COMMUNICATION SECURITY AND IT’S PROTECTION METHODSsamueljackson3773

Semi-Conductor ppt ShubhamSeSemi-Con.pptxstudyshubham18

fHUINhKG5lM1WBBk608.pptxfhjjhhjffhiuhhghjyadavshivank2006

The first edition of the AIAG-VDA FMEA.pptxMayank Mathur

New Microsoft Office Word Documentfrf.docxmisheetasah

Top Cite Articles- International Journal on Soft Computing, Artificial Intell...ijscai

Présentation_gestion[1] [Autosaved].pptxKHADIJAESSAKET

FINAL 2013 Module 20 Corrosion Control and Sequestering PPT Slides.pptxkippcam

IOt Based Research on Challenges and FutureSACHINSAHU821405

Rigor, ethics, wellbeing and resilience in the ICT doctoral journeyYannis

GE3151 problem solving and python programming - Syllabus

1. GE3151 PROBLEM SOLVING AND PYTHON PROGRAMMING 3 0 0 3 COURSE OBJECTIVES: ● 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. UNIT I COMPUTATIONAL THINKING AND PROBLEM SOLVING 9 Fundamentalsof Computing –Identificationof Computational Problems -Algorithms, building blocks of algorithms(statements,state,control flow,functions),notation(pseudocode,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 9 Pythoninterpreter and interactive mode, debugging; values and types: int, float, boolean, string , and list; variables, expressions, statements, tuple assignment, precedence of operators, comments; Illustrativeprograms:exchange the valuesof twovariables,circulate the values of n variables, distance between two points. UNIT III CONTROL FLOW, FUNCTIONS, STRINGS 9 Conditionals:Booleanvaluesandoperators,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 9 Lists:listoperations,listslices,listmethods,listloop, 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 9 Files and exceptions: text files, reading and writing files, format operator; command line arguments, errorsand exceptions,handlingexceptions,modules,packages;Illustrative programs: word count, copy file, Voter’s age validation, Marks range validation (0-100). TOTAL : 45 PERIODS COURSE OUTCOMES: Upon completion of the course, students will be able to CO1: Develop algorithmic solutions to simple computational problems. CO2: Develop and execute simple Python programs. CO3: Write simple Python programs using conditionals and loops for solving problems. CO4: Decompose a Python program into functions. CO5: Represent compound data using Python lists, tuples, dictionaries etc. CO6: Read and write data from/to files in Python programs.

2. 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'sGuide toProblemSolvingandProgramming”,1st Edition, BCS Learning & Development Limited, 2017. REFERENCES: 1. Paul Deitel and Harvey Deitel, “Python for Programmers”, Pearson Education, 1st Edition, 2021. 2. G VenkateshandMadhavan 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.

GE3151 problem solving and python programming - Syllabus

Recommended

More Related Content

What's hot (20)

Similar to GE3151 problem solving and python programming - Syllabus (20)

Recently uploaded (20)

GE3151 problem solving and python programming - Syllabus