Curriculum

This lab course will allow students to learn TensorFlow Lite and deploy it on wearable and sensor-equipped microcontrollers. The course will start with a series of labs to give students basic skills and experience in this area. Building on this knowledge, students will then form teams to propose, design, and develop a novel interactive wearable computing prototype that solves a genuine user problem in an area such as authentication, accessibility, training, or mobility.

The course gives an introduction in the basics of quantum computing, focusing on the hardware choices theat need to be made, the possible micro-architecture but will also insist on the development of quantum applications. The latter will involove the presenation of the quantum gates and will provide exercises to the students to develop small scale quantum circuits.
The intended quantum platform that can be used by the students is the Qiskit platform, developend by IBM, and which is freely available on the Interntet.
There will be another and second part of the course as we will also focus on the use of DNA as a data storage technology. As the terms suggests, it is based on the omnipresent DNA and it has already been developed as a storage device. The students will get exercises that will show how digital data can be store in a DNA format and how the DNA-data can be translated in quantum concepts such that algorithms can be executed.

This course introduces mathematical modeling of robot systems, and basic mathematical tools for controlling and analyzing them. Students will also gain practical understanding through simulations and lab demonstrations.

This course explores the role of artificial intelligence (AI) in cyber psychological warfare and cognitive strategy design. Students will learn the fundamentals of cyber psychological warfare and analyze how AI affects human behavior, psychology, and decision-making. Throughout this course, students will develop strategic approaches incorporating psychological and cognitive elements powered by AI while considering the ethical implications and societal responsibilities of these technologies.

In this course, the technology trend and basic concept of the information display devices will be studied. In particular, a fundamental theory of light emission for display, driving method for display, thin film transistors, LCD, QD, ELD, PDP, OLED, FED, and e-Paper will be introduced and examined.

In this course, the student selects an advisor and a research topic and conducts research to expand his basic understanding and application regarding a specific research topic in electrical engineering.

In this course, the student selects an advisor and a research topic and conducts research for basic understanding and application of a simple specific topic in electrical engineering.

This course is composed of invited lectures from experts in electrical engineering and various areas.