Software Engineering Projects
Sample Web Application Projects
How to start a software project? Pre-conditions to follow.
Sample Project Proposal: Absence Request and Vacation Schedule Management
Example Project Proposal: Online Examination and Evaluation System
Developing Microservices Using Python
Salon Appointment Management System
School and Institutes Exam Management System
Student Information Management System
Online Hotel Reservation and Booking System
PHP/MySQL
ü More resources click
ü Creating PHP Projects
ü Configuring a Project's PHP Build Path
ü New Project Layout Preferences
ü Enabling JavaScript Support in PHP Projects
ü Object-Oriented Programming Concepts
ü Configuring a Project's PHP Include Path
ü Database connectivity
ü Secure PHP Website
Visual Basic 6.0
ü Introduction to the VB Language and Environment
ü Exploring the Visual Basic Toolbox
ü VB Syntax
ü VB Functions
ü Creating a Stand-Alone Visual Basic Application
ü Error-Handling, Debugging, and File Input/Output
ü Graphics Techniques with Visual Basic
ü Database Access and Management
JAVA (Based on OCJP Syllabus)
Download More Resources:
ü Syllabus
ü Notes
ü Pass Papers
ü Model Papers
ü Online Articles
Creating an Entity Framework Data Model for an ASP.NET MVC Application
Getting Started with ASP.NET MVC 5
PHP Programming: From Beginner to Advanced
Course Overview:
This comprehensive PHP course is designed to take learners from the fundamentals of PHP programming to an advanced level. The course covers essential topics such as database connection, file handling, security practices, and explores the exciting world of AI automations using PHP.
Week 1-2: Introduction to PHP
Module 1: Getting Started with PHP
ü Introduction to PHP and its role in web development
ü Setting up a PHP development environment
ü Writing and executing basic PHP scripts
Module 2: PHP Syntax and Variables
ü Understanding PHP syntax and structure
ü Declaring and using variables in PHP
ü Exploring data types and typecasting in PHP
Week 3-4: Control Structures and Functions
Module 3: Control Structures in PHP
ü Working with conditional statements (if, else, switch)
ü Using loops (for, while, do-while) for repetitive tasks
Module 4: Functions in PHP
ü Defining and calling functions
ü Parameters, return values, and scope of variables
ü Built-in PHP functions and user-defined functions
Week 5-6: PHP and HTML Integration
Module 5: PHP and HTML Integration
ü Embedding PHP within HTML
ü Form handling with PHP
ü Cookies and sessions for user tracking
Week 7-8: Database Connection with PHP
Module 6: Introduction to Databases
ü Basics of relational databases
ü Overview of MySQL and PHPMyAdmin
Module 7: Database Connection with PHP
ü Establishing a connection to a MySQL database
ü Executing SQL queries with PHP
ü CRUD operations (Create, Read, Update, Delete)
Week 9-10: File Handling and Security in PHP
Module 8: File Handling in PHP
ü Reading from and writing to files
ü Uploading and downloading files with PHP
Module 9: PHP Security Best Practices
ü Data validation and sanitization
ü Preventing SQL injection and Cross-Site Scripting (XSS)
ü Secure handling of user authentication and authorization
Week 11-12: Advanced PHP Topics
Module 10: Introduction to AI in PHP
ü Overview of AI and its applications
ü Integrating machine learning models with PHP
ü Automating tasks with AI-driven processes
Module 11: Advanced PHP Techniques
ü Object-oriented programming in PHP
ü Error handling and debugging
ü PHP frameworks and their advantages
Module 12: Extra Knowledge
ü Login Page Creation with Secure Session Management and Encryption
ü PHP HTTP Request Methods and API Handling
ü Client-Side and Server-Side Validation Techniques
ü FullCalendar Integration
Assessment:
ü Weekly coding assignments
ü Mid-term project (Database-driven web application)
ü Final project (AI-powered automation system)
ü Participation in class discussions and quizzes
Textbooks:
ü "PHP and MySQL for Dynamic Web Sites" by Larry Ullman
ü "PHP Objects, Patterns, and Practice" by Matt Zandstra
Note: This syllabus provides a detailed outline for a 12-week course covering PHP programming from beginner to advanced levels. Instructors can adapt the schedule and content based on the needs of the learners and the duration of the course. Practical examples and hands-on coding exercises should be incorporated throughout the course to reinforce theoretical concepts.
Python Developer Course: From Beginner to Professional
Course Overview:
The Complete Python Developer course is designed to transform learners into professional Python developers. Through hands-on projects, in-depth theory, and practical exercises, students will gain mastery of both fundamental and advanced Python concepts. The syllabus covers a wide range of topics, including web development, machine learning, data science, and more.
Mastering Python Fundamentals:
ü Understanding the latest version of Python
ü Exploring Python's syntax, variables, expressions, and math functions
ü Grasping developer fundamentals, including operator precedence, variables, and strings
ü Learning about Python data types and programming best practices
Object-Oriented Programming (OOP):
ü Creating and utilizing objects
ü Implementing attributes, methods, and constructors
ü Understanding encapsulation, abstraction, and inheritance
ü Applying polymorphism and object introspection
Functional Programming:
ü Embracing pure functions and functional programming principles
ü Exploring map(), filter(), zip(), and reduce()
ü Understanding lambda expressions and list comprehensions
Python Developer Tools:
ü Setting up a professional workspace with Jupyter Notebooks, PyCharm, and VS Code
ü Exploring various text editors and Integrated Development Environments (IDEs)
ü Leveraging Python's built-in modules and external packages
Web Development with Python:
ü Understanding how websites work
ü Building a Flask server and creating a professional portfolio
ü Exploring HTML forms, templates, and static files
Machine Learning and Data Science:
ü Introducing the history and types of machine learning
ü Exploring tools and datasets in machine learning and data science
ü Building machine learning models and understanding data manipulation
Web Scraping and Automation:
ü Learning the basics of web scraping
ü Building web scrapers with Python and BeautifulSoup
ü Automating tasks such as sending emails, SMS, and creating Twitter bots
Working with Files and Regular Expressions:
ü Reading, writing, and appending files in Python
ü Exploring file paths, I/O errors, and regular expressions
ü Debugging code effectively
Contributing to Open Source and Career Guidance:
ü Learning how to contribute to open-source projects
ü Understanding career paths and opportunities in Python development
ü Building a professional portfolio
Final Challenge and Course Review:
ü Concluding the course with a final challenge
ü Reviewing the key concepts and skills acquired
ü Guidance on next steps in the learning journey
Extra Knowledge:
ü Exploring asyncio for asynchronous programming
ü Working with the aiohttp library
ü Managing time, CSV files, and other advanced techniques
Note: This comprehensive Python Developer course not only equips learners with technical skills but also emphasizes real-world applications through numerous projects and exercises. Students will graduate with the ability to build diverse Python applications and a solid foundation for further exploration in the dynamic field of Python development.
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