Skoltech provides graduate level degrees (MSc and PhD) in science and technology that are based on a unique model of entrepreneurial-science education – please check details at the main education page.
Critical to the success of our Center is the development of a novel hands-on academic curriculum in modern science-based engineering. The curriculum includes interfaces to cross-cutting computational, hardware and hybrid capabilities at Skoltech in teaching, research and entrepreneurship and will train the next generation of researchers and practitioners in the field of energy systems. The curriculum and the courses offered have been developed, and are being delivered, in close collaboration with MIT and Newcastle University.
Currently offered energy systems courses:
Course description: The course provides a graduate level overview of modern power systems with a major emphasis on the system aspects of power production, transmission, storage and delivery. All stages of the power energy technical chain are thoroughly reviewed not only from a comprehensive engineering prospective, but also from the standpoint of fundamental physics principles/equations. A special emphasis is given to improving students’ ability to extract well-formulated physics and mathematics problems from power engineering reality. The course relies on strong undergraduate math/physics background of the students, however no background in power systems is required. In this course we advance gradually through major principles of the power system design (with some history re-course), discussion of major elements of the power systems (generators, power lines, transformers), analysis of state estimation, optimization, control and design practice, and conclude with discussion of modern engineering, physics and mathematics challenges associated with the emergent smart/intelligent/resilient grid technologies.
Course description: This course provides a graduate level overview of modern energy systems, covering generation, conversion, transportation and end-use energy technologies. For each set of technologies we first review the fundamental physics principles that are already extensively covered in most of the Russian undergraduate technical department curriculums. Next, we assess the engineering challenges associated with the technologies, and discuss how to do basic cost-benefit analysis of possible approaches. Each section is concluded by the analysis of modern trends in the areas and discussion of possible innovation and research opportunities. The pedagogy includes overview lectures and homework covering the fundamental part of the material, as well as individual projects focusing on the analysis of novel technologies proposed in academic papers or introduced by various innovative companies. Guest lectures of industry representatives present the major industrial company’s perspective on the key challenges and opportunities.
Course description: The course is built on the Introduction to Power Systems course, developing at graduate level a wide range of topics in recent smart grid development. The goal is to give students familiarity with such topics and competence in handling them, in the context of present and future distribution and transmission networks.
Course description: The course is considered as a “soft” and self-contained introduction to modern “applied probability” covering theory and application of stochastic models. Emphasis is placed on intuitive explanations of the theoretical concepts, such as random walks, law of large numbers, Markov processes, reversibility, sampling, etc., supplemented by practical/computational implementations of basic algorithms. In the second part of the course, the focus shifts from general concepts and algorithms per se to their applications in science and engineering with examples, aiming to illustrate the models and make the methods of solution clear, from physics, chemistry, machine learning, control and operations research discussed.
Course description: The course provides an intense and thorough review of a number of mathematical topics required in many technical disciplines. Emphasis is made on general principles and their applications to real life problems. Special attention is paid to improve students’ problem solving skills. This course is a mandatory course for conditionally admitted students with deficiency in math. As such the course assumes only minimal math knowledge/proficiency. Main goal of this course is to provide students with necessary mathematical background to prepare them for future courses and research.
Course description: This course is recommended for IT students, as well as other specialization students (e.g. Energy & Bio), interested in learning about modern theoretical and practical approaches to analysis of big data sets with reach statistical correlations expressed through graphs, matrices, tensors and related. The course is light on rigorous proofs, but rich on statistics and physics intuition. Prerequisites: This is an advanced level course suitable for second year M.Sc. and Ph.D. students. Knowledge of basic math (algebra, analysis, differential equations) is assumed/required. Some prior experience in Probability Theory, Statistics, Statistical Mechanics or Machine Learning (at least one credited course) is recommended.
Course description: This course introduces mathematical tools to model, design, and analyze cyber-physical networks such as the Internet and power systems. It first summarizes basic control mechanisms on the Internet and basic principles of three-phase alternate-current power networks. It then focuses on congestion control on the Internet and optimal power flow problems in electricity networks. It applies key ideas in convex optimization and duality theory, control and dynamical systems theory, semidefinite programming, and queueing theory to understand and optimize these cyber-physical systems. The course is mathematical and focuses on structural properties rather than computation.
Course description: The course introduces the students to power system economics. After covering fundamentals of microeconomics, main types of electricity markets and regulation are discussed including the Russian market. Economic dispatch and Optimal Power Flow with Locational Marginal Pricing are also covered. The lectures are supplemented by a laboratory exercise utilizing PowerWorld simulation package and group mini-projects.
Course description: This course is an introductory subject in the field of electrical to mechanical energy conversion. Primary examples of the devices studied in this subject include electric motors and electric generators. The course material includes: ∙ use of lumped parameter electromechanics to understand power systems ∙ models of synchronous, induction, and DC machinery ∙ the interconnection of electric power apparatus and operation of power systems The material in this subject will be useful to students who pursue careers or research in electric power systems, power electronic systems, vehicle electrical systems (e.g. electric or hybrid vehicles), development or use of electric motors and generators, robots and “mechatronics”.
Course description: This class introduces economic and geopolitical issues underlying the trends in global energy markets, the active players engaged in the sector and the policies of national governments to ensure the energy security of their countries. It also develops an integrated approach to analysis of climate change processes, and assessment of proposed policy measures, drawing on research and model development from MIT. After taking this class, the student will develop core competencies in energy geopolitics and geoeconomics using analytical tools including stakeholder analysis, spatial analysis etc. Through writing assignments, students will develop valuable research and scientific writing skills.
Prospective MSc and PhD students are requested to apply via the main Skoltech admissions page.