COURSE DETAIL
This course provides research training for exchange students. Students work on a research project under the guidance of assigned faculty members. Through a full-time commitment, students improve their research skills by participating in the different phases of research, including development of research plans, proposals, data analysis, and presentation of research results. A pass/no pass grade is assigned based a progress report, self-evaluation, midterm report, presentation, and final report.
COURSE DETAIL
COURSE DETAIL
COURSE DETAIL
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.
COURSE DETAIL
COURSE DETAIL
This course introduces the basic theory, modeling, operation, and control of electric machines such as transformer, DC machine, synchronous generator, and induction motor, etc.
COURSE DETAIL
COURSE DETAIL
COURSE DETAIL
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.
COURSE DETAIL
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.
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