E-Learning Guelma

This course provides an in-depth exploration of modern web development using the Laravel framework and the Model-View-Controller (MVC) design pattern. Students will gain hands-on experience in building scalable, maintainable, and efficient web applications by leveraging Laravel's robust features, including routing, authentication, database management with Eloquent ORM, middleware, and API development.

Key topics covered include:

• Fundamentals of MVC and its application in Laravel
• Routing and middleware
• Database management with migrations and Eloquent ORM
• Authentication, and security best practices
• Etc.

By the end of this course, students will be able to develop full-featured web applications using Laravel, apply best practices in software architecture, and optimize applications for security and performance.

This course's main goal is to provide students contemporary data mining methods and their applications in business and other fields.
With a focus on both the technical and practical aspects, the course specifically examines the fundamental ideas, concepts, and methods of data mining.

• Students gain a grasp of assessing and comparing via the course.
• Data mining solutions for practical application of the solutions; the course also gives students some practical experience and abilities in
• Using a data mining software package to carry out a data mining project.

Course Description:

Data mining is a process of extracting, from a large amount of data, interesting patterns that are non-trivial, hidden, new, and potentially useful. It is a rapidly growing field and is becoming important because, with the increasing quantity and variety of online data collections by many organizations and commercial enterprises, there is a high potential value of patterns discovered in those collections.

The overall aim of this course is to introduce students to modern data mining techniques and their use in business and other areas of applications.

Target audience:

This course is aimed at students in the 2nd year of the Licence Professionnel in Computer Science program at the University of Guelma.

1. Define the fundamental concepts of Data Mining (Knowledge)
2. Explain the steps of the Data Mining process (Understanding)
3. Use a Data Mining Tool to Execute a Simple Task (Application)
4. Compare different classification algorithms (Analysis)
5. Design a Data Mining mini-project (Summary)
6. Evaluating the Quality of a Data Mining Model (Evaluation)