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
ΓΌ More resources click
ΓΌ Creating PHP Projects
ΓΌ Configuring a Project's PHP Build Path
ΓΌ New Project Layout Preferences
ΓΌ Enabling JavaScript Support in PHP Projects
ΓΌ Object-Oriented Programming Concepts
ΓΌ Configuring a Project's PHP Include Path
ΓΌ Database connectivity
ΓΌ Secure PHP Website
Visual Basic 6.0
ΓΌ Introduction to the VB Language and Environment
ΓΌ Exploring the Visual Basic Toolbox
ΓΌ VB Syntax
ΓΌ VB Functions
ΓΌ Creating a Stand-Alone Visual Basic Application
ΓΌ Error-Handling, Debugging, and File Input/Output
ΓΌ Graphics Techniques with Visual Basic
ΓΌ Database Access and Management
JAVA (Based on OCJP Syllabus)
Download More Resources:
ΓΌ Syllabus
ΓΌ Notes
ΓΌ Pass Papers
ΓΌ Model Papers
ΓΌ 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
ΓΌ Introduction to PHP and its role in web development
ΓΌ Setting up a PHP development environment
ΓΌ Writing and executing basic PHP scripts
Module 2: PHP Syntax and Variables
ΓΌ Understanding PHP syntax and structure
ΓΌ Declaring and using variables in PHP
ΓΌ Exploring data types and typecasting in PHP
Week 3-4: Control Structures and Functions
Module 3: Control Structures in PHP
ΓΌ Working with conditional statements (if, else, switch)
ΓΌ Using loops (for, while, do-while) for repetitive tasks
Module 4: Functions in PHP
ΓΌ Defining and calling functions
ΓΌ Parameters, return values, and scope of variables
ΓΌ Built-in PHP functions and user-defined functions
Week 5-6: PHP and HTML Integration
Module 5: PHP and HTML Integration
ΓΌ Embedding PHP within HTML
ΓΌ Form handling with PHP
ΓΌ Cookies and sessions for user tracking
Week 7-8: Database Connection with PHP
Module 6: Introduction to Databases
ΓΌ Basics of relational databases
ΓΌ Overview of MySQL and PHPMyAdmin
Module 7: Database Connection with PHP
ΓΌ Establishing a connection to a MySQL database
ΓΌ Executing SQL queries with PHP
ΓΌ CRUD operations (Create, Read, Update, Delete)
Week 9-10: File Handling and Security in PHP
Module 8: File Handling in PHP
ΓΌ Reading from and writing to files
ΓΌ Uploading and downloading files with PHP
Module 9: PHP Security Best Practices
ΓΌ Data validation and sanitization
ΓΌ Preventing SQL injection and Cross-Site Scripting (XSS)
ΓΌ Secure handling of user authentication and authorization
Week 11-12: Advanced PHP Topics
Module 10: Introduction to AI in PHP
ΓΌ Overview of AI and its applications
ΓΌ Integrating machine learning models with PHP
ΓΌ Automating tasks with AI-driven processes
Module 11: Advanced PHP Techniques
ΓΌ Object-oriented programming in PHP
ΓΌ Error handling and debugging
ΓΌ PHP frameworks and their advantages
Module 12: Extra Knowledge
ΓΌ Login Page Creation with Secure Session Management and Encryption
ΓΌ PHP HTTP Request Methods and API Handling
ΓΌ Client-Side and Server-Side Validation Techniques
ΓΌ FullCalendar Integration
Assessment:
ΓΌ Weekly coding assignments
ΓΌ Mid-term project (Database-driven web application)
ΓΌ Final project (AI-powered automation system)
ΓΌ Participation in class discussions and quizzes
Textbooks:
ΓΌ "PHP and MySQL for Dynamic Web Sites" by Larry Ullman
ΓΌ "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:
ΓΌ Understanding the latest version of Python
ΓΌ Exploring Python's syntax, variables, expressions, and math functions
ΓΌ Grasping developer fundamentals, including operator precedence, variables, and strings
ΓΌ Learning about Python data types and programming best practices
Object-Oriented Programming (OOP):
ΓΌ Creating and utilizing objects
ΓΌ Implementing attributes, methods, and constructors
ΓΌ Understanding encapsulation, abstraction, and inheritance
ΓΌ Applying polymorphism and object introspection
Functional Programming:
ΓΌ Embracing pure functions and functional programming principles
ΓΌ Exploring map(), filter(), zip(), and reduce()
ΓΌ Understanding lambda expressions and list comprehensions
Python Developer Tools:
ΓΌ Setting up a professional workspace with Jupyter Notebooks, PyCharm, and VS Code
ΓΌ Exploring various text editors and Integrated Development Environments (IDEs)
ΓΌ Leveraging Python's built-in modules and external packages
Web Development with Python:
ΓΌ Understanding how websites work
ΓΌ Building a Flask server and creating a professional portfolio
ΓΌ Exploring HTML forms, templates, and static files
Machine Learning and Data Science:
ΓΌ Introducing the history and types of machine learning
ΓΌ Exploring tools and datasets in machine learning and data science
ΓΌ Building machine learning models and understanding data manipulation
Web Scraping and Automation:
ΓΌ Learning the basics of web scraping
ΓΌ Building web scrapers with Python and BeautifulSoup
ΓΌ Automating tasks such as sending emails, SMS, and creating Twitter bots
Working with Files and Regular Expressions:
ΓΌ Reading, writing, and appending files in Python
ΓΌ Exploring file paths, I/O errors, and regular expressions
ΓΌ Debugging code effectively
Contributing to Open Source and Career Guidance:
ΓΌ Learning how to contribute to open-source projects
ΓΌ Understanding career paths and opportunities in Python development
ΓΌ Building a professional portfolio
Final Challenge and Course Review:
ΓΌ Concluding the course with a final challenge
ΓΌ Reviewing the key concepts and skills acquired
ΓΌ Guidance on next steps in the learning journey
Extra Knowledge:
ΓΌ Exploring asyncio for asynchronous programming
ΓΌ Working with the aiohttp library
ΓΌ 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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