provide students with basic skills in the design, development and implementation of simple learning and control algorithms. The proposed algorithms make use of data to improve their performance and have applications in several scientific areas of engineering, including, environmental, bioengineering, civil, data sciences, computer and information sciences, electrotechnics, physics, mechanics, nanotechnology and chemistry; which makes this topic transversal.
prepare students to solve mini-projects in groups, promoting the development of complementary skills (soft skills), namely: teamwork, cooperation, peer communication, time management, resource management, stress management.
Mini projects on machine learning and control systems
provide students with basic skills in the design, development and implementation of simple learning and control algorithms. The proposed algorithms make use of data to improve their performance and have applications in several scientific areas of engineering, including, environmental, bioengineering, civil, data sciences, computer and information sciences, electrotechnics, physics, mechanics, nanotechnology and chemistry; which makes this topic transversal.
prepare students to solve mini-projects in groups, promoting the development of complementary skills (soft skills), namely: teamwork, cooperation, peer communication, time management, resource management, stress management.