Curriculum

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Undergraduate Program

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Wave
Elective
3credits

This course is designed to provide a cohesive overview of fundamental topics required for the design and analysis of RF stages of the modern wireless communication circuits, components, and systems.
(Prerequisite: EE204, EE304)

Wave
Elective
3credits

By introducing the basic theories and principles of geometrical/wave optics, diffraction, and optical waveguides, this course covers basic and fundamental concepts of optics and photonics. Working principles and recent applications of imaging and display systems will also be discussed.

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Prerequisite

Device
Elective
3credits

In this course, we study in depth how the basic semiconductor devices operate. Various semiconductor devices are examined including a pn junction diode, a bipolar junction transistor (BJT), and two-field effect transistors (MOSFET, JFET). This course will also cover non-ideal effects in the real semiconductor devices.

Prerequisite

Circuit
Elective
3credits

This course covers basic concepts of fabrication, operation and design techniques related with CMOS integrated circuits based on combinational / sequential logic blocks for arithmetic, logic and memory blocks. Also covered are such issues as timing, interconnect and design methodologies.

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Prerequisite

Signal
Elective
3credits

This course will cover general methods for analysis and design of the dynamic system. The main contents include modeling in the frequency and time domain, time response, reduction of multiple subsystems, stability, steady-state error, root locus technique, frequency response technique, and design via frequency response and state-space.
(Prerequisite: EE202)

Circuit
Elective
3credits

This course starts with the basic circuits for the design of BJT and CMOS amplifiers. The topics include the frequency response of amplifiers, feedback, an introduction to analog integrated circuits, various types of amplifier output stages, the study of an analog filter, oscillator, and signal generators. (Prerequisites: EE201, EE304)

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Computer ∣ Circuit ∣ Communication ∣ Signal ∣ Wave ∣ Device
Required
3credits

In this design experiment laboratory, knowledge learned in many other courses in this division are brought to bear on performing a project combining analog/digital and hardware/software. Hence, a chip stone design experiment will be performed, which establishes a synthesized application of undergraduate theory courses. For example, analog AM radio will be designed using various analog circuits, and voice recorder will be designed using Linux based embedded system.

Computer ∣ Circuit ∣ Communication ∣ Signal ∣ Wave ∣ Device
Required
3credits

This course explores the design of intelligent robot behaviors using modern artificial intelligence techniques. Students will work with a provided robot platform equipped with ROS 1/2, SLAM, a vision-based robotic arm, and multimodal input capabilities. The course begins with foundational knowledge in ROS and SLAM, followed by robot kinematic manipulation and path planning. In the latter half, students will learn to integrate machine learning techniques—such as object detection, large language models (LLMs), and reinforcement learning (RL)—to enable perception-driven, interactive, and goal-directed robotic behaviors. The course culminates in a final team project where students design and implement an intelligent robotic system capable of performing real-world tasks.

Computer ∣ Circuit ∣ Communication ∣ Signal ∣ Wave ∣ Device
Required
3credits

  • This course introduces social innovators who directly address societal issues through their work, and analyzes technologies to propose solutions that can further expand the impact of their efforts.
  • Link to the previous project topics: https://techforimpact.io/campus/project
  • It features stories and case studies of “Brian Fellows” who have founded nonprofit organizations and are creating change across various fields such as the environment, diversity, health, and politics. Based on these, students will work on assignments that propose technological solutions to help innovators solve their challenges more quickly and effectively.
  • During the first weekend of September (Friday–Saturday, 1 night and 2 days), students will form teams and define problems at the Kakao AI Campus, receiving guidance from the fellows, and will prepare a project proposal.
  • A modest activity fund will be provided to support user interviews and necessary tools for the course. When needed, Kakao developers can offer technical mentoring and feedback.
  • All students who complete the course will receive a certificate of completion, and top projects or students may be awarded prizes and follow-up project support.
  • This semester places greater emphasis on identifying social problems and planning technological solutions.
  • Class Time: Every Friday, 16:00 – 19:00

 

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Prerequisite