ROBOTICS PROGRAM KAIST

Completion requirements

Credit Requirement : 33 credits or more in total

석사과정 구분, 과목, 비고의 내용을 제공합니다.
Division	Subject		Note
General Required Courses3 credits or more	CC500	Scientific Writing	At least 1 course among the following (Substitutive course: EE528 Engineering Random Processes)
	CC510	Introduction to Computer Application
	CC511	Probability and Statistics
	CC512	Introduction to Materials and Engineering
	CC513	Engineering Economy and Cost Analysis
	CC522	Introduction to Instruments
	CC530	Entrepreneurship and Business Strategies
	CC010	Special Lecture on Leadership	No credit. Mandatory course for students enrolled from 2002, except general scholarship students or international students
	CC020	CC020 Ethics and Safety I (1AU)	is mandatory
Elective Courses18 credits or more	RE510	Intelligent Robot Design Lab	At least nine credits must included from the following subjects, and earn a total of 18 credits or more from elective subjects designated by the Robotics Program (* Refer to the Table of Curriculum) ※ However, recognition is possible even if you take a substitute or shared course for the listed course. Up to six credits of unit 500 or higher may be taken among courses other than those designated by this Program.
	EE511	Computer Architecture
	EE534	Pattern Recognition
	EE581	Linear Systems
	EE585	Mobile Robotics and Autonmomous Navigation
	EE682	Intelligent Control Theory
	EE683	Robot Control
	EE735	Computer Vision
	CS477	Introduction to Intelligent Robotics
	CS510	Computer Architecture
	CS550	Software Engineering
	CS554	Design for Software and System
	CS570	Artificial Intelligence and Machine Learning
	CS572	Intelligent Robotics
	CS576	Computer Vision
	CS672	Reinforcement Learning
	ME453	Introduction to Robotics Engineering
	ME459	Introduction for Visual Intelligence
	ME553	Robot Dynamics
	ME652	Mobile Robotics
	ME655	Robotics Engineering
	CE583	Advanced Dynamic and Nonlinear Control of Civil Robots
	AI502	Deep Learning
	AI611	Deep Reinforcement Learning
Research Courses12 credits or more	At least 12 credits of research courses, including the M.S. Seminar course (1 credit), are required.		May be substituted by the research courses in the department/major of student‘s advisor. (If the advisor changes his or her department/major, the research courses taken in the previous department/major are also accepted)

Thesis Ph.D. Degree Program

Credit Requirement : 60 credits or more in total

박사과정 구분, 과목, 비고의 내용을 제공합니다.
Division	Subject		Note
General Required Courses 3 credits or more	CC500	Scientific Writing	At least 1 course among the following (* Substitutive course: EE528 Engineering Random Processes)
	CC510	Introduction to Computer Application
	CC511	Probability and Statistics
	CC512	Introduction to Materials and Engineering
	CC513	Engineering Economy and Cost Analysis
	CC522	Introduction to Instruments
	CC530	Entrepreneurship and Business Strategies
	CC010	Special Lecture on Leadership	No credit. Mandatory course for students enrolled from 2002, except general scholarship students or international students
	CC020	CC020 Ethics and Safety I (1AU)	is mandatory
Elective Courses27 credits or more	RE510	Intelligent Robot Design Lab	At least nine credits must included from the following subjects, and earn a total of 27 credits or more from elective subjects designated by the Robotics Program (* Refer to the Table of Curriculum) ※ However, recognition is possible even if you take a substitute or shared course for the listed course. Up to nine credits of unit 500 or higher may be taken among courses other than those designated by this Program.
	EE511	Computer Architecture
	EE534	Pattern Recognition
	EE581	Linear Systems
	EE585	Mobile Robotics and Autonmomous Navigation
	EE682	Intelligent Control Theory
	EE683	Robot Control
	EE735	Computer Vision
	CS477	Introduction to Intelligent Robotics
	CS510	Computer Architecture
	CS550	Software Engineering
	CS554	Design for Software and System
	CS570	Artificial Intelligence and Machine Learning
	CS572	Intelligent Robotics
	CS576	Computer Vision
	CS672	Reinforcement Learning
	ME453	Introduction to Robotics Engineering
	ME459	Introduction for Visual Intelligence
	ME553	Robot Dynamics
	ME652	Mobile Robotics
	ME655	Robotics Engineering
	CE583	Advanced Dynamic and Nonlinear Control of Civil Robots
	AI502	Deep Learning
	AI611	Deep Reinforcement Learning
Research Courses30 credits or more	At least 30 credits of research courses, including the Ph.D. Seminar course (1 credit), are required.		May be substituted by the research courses in the department/major of student‘s advisor. ( *If the advisor changes his or her department/major, the research courses taken in the previous department/major are also accepted)
Miscellaneous	Credits earned during M.S. Program are accumulated in the Ph.D. Program. (not applicable to research credits)

Subject Requirements herein apply to all enrolled students since Spring 2024