The Complex Systems Master’s Program is organized by the Department of Automatic Control and Systems Engineering, at University Politehnica of Bucharest.
Complex is the new simple. The CS Master Program offers studies in the field of Complex Systems, with focus on industry applications, state of the art research, and control engineering, with a sensible dash of systems and network theory. We are training future researchers. Studies finished through the CS Program can be continued with doctoral studies with supervisors from the Dept. of Automatic Control and Systems Engineering (under The Doctoral school of Automatic Control and Computers). The CS Master Program is open to and encourages Erasmus mobility.
The research and industry communities are facing major challenges when attempting to model, analyse, simulate and control the increasingly complex systems of today’s world (large scale, distributed, heterogeneous, with communications delays, complicated interconnections, etc.). The CS Program is a response to the high demand of high-skilled professionals trained in the study of complexity and complex systems regarding modelling, simulation, optimization and several types of control theory for such systems.
The CS Program is taught in English and offers applicative skills in the design, analysis, and control of complex systems, especially when taking into account the rapid development of Smart systems (Smart Cities, Smart Energy, Smart Transportation, etc.) which are an intrinsic part of the operational and scientific research at European level during the current decade (e.g. Horizon 2020).
We align with international universities that offer similar programs: University of Vermont, SUA; Chalmers University, Sweden; University of Gothenburg, Suedia; Ecole Politechnique Paris, France; King’s College London, United Kingdom; Aalto University, Finland.
- 1st Semester: Introduction to Complex Systems, Scientific Writing, Evolutionary Computing, System-of-Systems Modeling and Analysis
- 2nd Semester: Computation for Complex Systems, Chaos and Fractals, Optimization for Big Data, Dimension and Complexity Reduction
- 3rd Semester: Complex Systems Case Studies, Nonlinear Control, Autonomous Agents, Control of Complex Systems
- 4th Semester: Ethics, Research activities, M.Sc. thesis preparation
Master Academic Team
Coordinator Cristian Oară
Teachers & Researchers Cătălin Buiu, Bogdan Dumitrescu, Tudor C. Ionescu, Ion Necoară, Mircea Olteanu, Monica Patrascu, Florin Stoican, Radu Ștefan, Dan Ștefănoiu
Cristian Oara, PhD (cristian [dot] oara [at] acse [dot] pub [dot] ro)
Monica Patrascu, PhD (monica [dot] patrascu [at] upb [dot] ro)