Electrical Engineering

The course covers the design and properties of the electric power system during normal operation and during faults, and the impact of renewable generation. Central issues are possible control options during operation and how different types of instability limit power transfer capacity. The contents are lectured and studied through numeric exercises and practical laboratory tests that are preceded by computer simulations. The industrial computerized analysis of large systems is thus introduced but is combined with calculations by hand to review and interpret computer results. The following topics are reviewed: Construction and function of key components. Power electronic control and compensation; System representation: Single line diagram. Symmetrical components. Per unit normalization. Short-circuit MVA; System characteristics during normal operation, short-circuits, asymmetry and resonance. Angle and voltage stability. Computer dynamic simulations and load flow calculations. Control of voltage, frequency, active and reactive power. Relay protection; Study visit. Assumed prior knowledge: EIEF50, ESSF15 Electrical Engineering or EIEF35 Electrical Engineering, basic course, or EITF90 Electromagnetics and electronics.

This course in cryptography introduces techniques used in secure communication, from historical ciphers to modern symmetric and asymmetric encryption schemes. The course begins with a guide through the necessary mathematical foundation for advanced cryptographic studies. The latest developments in computer cryptography, including the Rijndael algorithm chosen for the new Advanced Encryption Standard, the OAEP padding system for RSA and modern stream ciphers are covered. Key encryption, exchange, and digital signatures are also discussed. The course also looks at attacks on insecure cryptosystems and how to prove that a cryptosystem is secure.

This course introduces the basic theory, modeling, operation, and control of electric machines such as transformer, DC machine, synchronous generator, and induction motor, etc. 

This is an independent research course with research arranged between the student and faculty member. The specific research topics vary each term and are described on a special project form for each student. A substantial paper is required. The number of units varies with the student’s project, contact hours, and method of assessment, as defined on the student’s special study project form.

This course covers the basic concepts and usages of data structures and algorithms used in electrical and/or computer engineering. The objectives are learning data structure types and usages - arrays, lists, queues, trees, graphs, etc.; learning algorithms - sorting, hashing, searching, etc.; improving C++ programming and debugging skills; and learn data structures and algorithms in C++. Students may choose any working environments, but class materials assume Linux by default. No prior experiences in Linux are necessary to enroll. 

This course develops the ability to understand various physical properties of electronic materials (e.g., semiconductors). Topics include elementary materials science concepts, kinetic molecular theory, thermal process, defects, classical theory of conduction, hall effect and thermal conduction, quantum physics, Schrodinger equation, microscopic physics, modern theory of solid, electronic statistics, waves as a particle, semiconductor fundamentals, conductivity, diffusion and optical properties, and devices.