The SYSTEC Summer School on “Estimation, Control, Optimization and Data Science – Applications to Cyber-Physical Systems in Robotics, Energy, Mobility, Production Systems and Health” is organized into two components - scholar part and hands-on research part – designed to be for students in two levels of maturity: Research Initiation, and Research.
The scholar part comprehends the following curricular units with 20 hours of presential sessions taking place in the months indicate in parenthesis: Functional Analysis (July and August), Optimal Control (July and August), Machine Learning (July and August), Model Predictive Control (September), and Non-linear Control (September). The topics in each one of the curricular units may be regarded as a complementary continuation of the akin ones typically delivered in the first and second cycles of the Electrical and Computer Engineering and in Applied Mathematics, and in Computer Science. Moreover, they are designed to induce the use of advanced concepts in wide variety of societally relevant applications, and, thus, their role will be o provide the tools to be used in the research component at both levels.
