1. Fundamentals of Mechatronics (메카트로닉스기초)

• Text  
   - Introduction to mechatronics and measurement systems
      David G. Alciatore & Michael B. Histand [McGraw-Hill] 

• Reference  
  - Fundamentals of Electrical Engineering
     G. Rizzoni [McGraw-Hill]
  - 메카트로닉스와 계측시스템
     강철구 외 5인 공역 [인터비젼]

• Course Objectives 
  - Electronic circuits and components
  - System response
  - Analoge signal processing using OP amp
  - Digital circuits
  - Data acquisition & Computer interfacing
  - Sensors & Measurement theory

2. Robotics (로봇공학)‌

• Text   
  - Lecture Notes 

• Reference  
  - Robot Modeling and Control    
     Spong, Mark W./Hutchinson, Seth/Vidyasagar, M.   
  - Inrtroduction to robotics: mechanics and control(3rd Ed.)     
     John J.Craig     
     Pearson Prentice Hall 

• Course Objectives   
  - To obtain an ability to analyze and design a robotic control system for robot manipulation   
  - To apply and realize mechanical knowledge such as automatic control, kinematics,     
     statics and dynamics that you have learned through a target system, robot

1. ‌Artificial Intelligence and Machine Learing(인공지능과 머신러닝)

• Text       
  - 패턴인식과 기계학습박혜영 , 이관용  지음 [이한출판사]

• Reference      
  - Pattern Recognition and Machine Learning
     Christopher M. Bishop [Springer]

• Course Objectives   
  - [Def.] Draw a meaningful conclusion, given a set of data (observation, measurement)
  - In 1959, Arthur Samuel defined machine learning as a "Field of study that 
     gives computers the ability to learn without being explicitly programmed"
  - Often hand programming not possible
  - Solution? - > Get the computer to program itself, by showing it examples of the behavior we want! 
  - Really - >  we write the structure of the program and the computer tunes many internal parameters