At an earlier stage of European funding for projects on technology-enhanced learning, the main thrust was to develop e-learning technologies and on projects that sought to promote the take-up of platforms and services. This contribution is prepared by students after attending lectures of a multidisciplinary course in the context of a complementary studies frame. The students of this course summarized, through a case study, concepts and methods in a straightforward, but structured way. Thanks to the help of a software tool based on Python, an original and open learning platform is realized for students and lecturers and it represents a part of this contribution. Concerning the specific lecture, cargo loads and transportation are important logistical topics in many industries. They dictate the profit of the final product, expenditure, time consumption and labor force utilization. The optimal transportation of any type of cargo is crucial for businesses. More in general, it is possible to say that the proposed problem can be generalized and applied in other main economic problems in which optimization problems are involved. In this work we focused on the optimization of fluid transportation under specified conditions, or constraints, in other words. The aim of the project is to determine the optimal parameters of the system to control the transportation in an optimal way. This material which includes an open software to test the developed concepts through the lecture can be used by students and lecturers. An open link is accessible to the users.