Curriculum

Tremendously many kinds of sensors are being used in modern engineering systems, and they are directly connected to the electronic devices or systems. This course primarily emphasizes the fundamentals of measurements, sensors and their interfaces to the electronic systems.

This lecture deals with a key element such as thin film transistor (TFT) for thin film electronics, being the most important device on flat panel display applications as well as 3D stackable semiconductor devices. In this course, we shall start with fundamentals and a concise historical perspective. Then, we will learn about structure, fabrication and transistor characterization. Additionally, taking into account that the semiconductor for TFT is made of thin film process, we shall explore TFTs with various thin film semiconductors (amorphous Si, poly-Si, and electronically active oxide semiconductor.

Recent advancement in A.I. and machine learning requires us to think more systematically about what it means for a machine to be “intelligent”. How is human intelligence based on biological brain different from artificial intelligence? And also: what are the societal implications of A.I.?

This course covers the theoretical framework for understanding the electronic properties of quantum confined devices, such as semiconductor heterostructures, two-dimensional materials, quantum wires, and quantum dots. Along with the fundamental principles, the course discusses operational characteristics of nanoscale electronic devices.

This course introduces students to a variety of media elements including text, graphics, sound, video, hardware and software components and the necessity for interactivity in multimedia as well. By introducing associate fundamental technologies, the course aims to help and encourage students to develop their imaginative and creative skills using multimedia. (Prerequisite: EE202)

This course teaches the principles of wireless network access techniques and system applications. The main focus of contents covers wireless medium access techniques, multiple access control and scheduling, system capacity optimization, and their applications to WiFi, WiMax, and ad-hoc sensor networks.

This course is on the design and implementation of database and big data systems. The first part covers database design and usage. The second part covers the internals of database systems and recent NoSQL and NewSQL systems.

In this course, a broad and practical overview for robotics is given in a multi-disciplinary perspective. Key principles such as coordinate transformation, navigation, control, motion planning, and decision making are taught. Recent advances in drons, self-driving cars, and AI for robotics are also introduced.

This course surveys scientific computing and data science methods relevant for physical electronics. First, traditional numerical analysis methods for the solution of ordinary and partial differential equations will be presented. Next, machine learning approaches and their mathematical basis will be surveyed in view of a modern numerical analysis framework.

The course begins with the quantum logic and aims to deliver how quantum advantages can be achieved in communication and computational tasks. Examples of quantum algorithms and quantum protocols are provided. Known approaches to implement quantum information processing are explained.