Lastest Courses

The course empowers students to identify and mitigate negative impacts of data and machine learning tools on vulnerable groups, promoting transparency and ethical solutions. It involves data analysis, application of machine learning models, and understanding optimization problems, with an initial assessment and leveling classes to ensure the necessary foundation.

This course equips students with the mathematical foundations of linear algebra and optimization, crucial for understanding and implementing machine learning algorithms. Final Objectives This course capacitates students to understand, implement, and evaluate machine learning algorithms by providing a solid foundation in the mathematical principles of linear algebra and optimization.

The course aims to introduce and develop object-oriented thinking in students. It covers fundamental OO concepts such as classes, objects, encapsulation, inheritance, and polymorphism, as well as good practices for designing and implementing classes.