Introduction to Analysis 1 | MA | Course

Brief Information Name : Introduction to Analysis 1 해석학1 Lecturer : 허민 Min Her Semester : 2016 Spring Major : BS, Mathematics Textbook 맨프레드 스톨 (2015) 『실 해석학 입문』. 2판. 오혜영·허민(역). 경문사(경문북스) Stoll, M. (2000) Introduction to Real Analysis. 2nd Ed. Pearson Syllabus : Syllabus_2016-5-1__Introduction to Analysis 1.pdf In short Assignments Submit all notes where you have learned before […]

Introduction to Financial Mathematics | MA | Course

Brief Information Name : Introduction to Financial Mathematics 금융수학개론 Lecturer : Lee Hoseok 이호석 Semester : 2016 Spring Major : BS, Mathematics Textbook Hull, J. C. (2012) 『선물·옵션 투자의 이론과 전략』. 윤평식(역). 8판. 퍼스트북 Syllabus : Syllabus_2016-5-1__Introduction to Financial Mathematics.pdf In short Assignments [Assignment 1] Manage the stocks at the long strangle position. Introduction to Financial Mathematics) Assignment […]

Mathematical Statistics 2 | MA | Course

Brief Information Name : Mathematical Statistics 2 Lecturer : Lee Myungsook 이명숙 Semester : 2016 Spring Major : BS, Mathematics Syllabus : Syllabus_2016-5-1__Mathematical Statistics 2.pdf Textbook 여인권·송문섭·허문열 (2009) 『이론통계』. 박영사 The Slides itself My own reference 한근식 (2015)『데이터처리입문 Introduction to Data Processing』. 개정판. 그린 In short 범주형자료분석 categorical data analysis 분산분석 variance analysis 회귀분석 regression analysis Summary Mathematical Statistics […]

Data Manipulation at Scale: Systems and Algorithms | Data Science at Scale Specialization | Coursera

Brief Information Name : Data Manipulation at Scale: Systems and Algorithms Lecturer : Bill Howe Duration: 2016-01-04 ~ 02-08 (4 weeks) Course : The 1st (1/4) course of Data Science at Scale Specialization  in Coursera Syllabus Record Certificate Learning outcome Describe common patterns, challenges, and approaches associated with data science projects, and what makes them different from […]

Machine Learning: Regression | Machine Learning Specialization | Coursera

Brief Information Name : Machine Learning: Regression Lecturer : Carlos Guestrin and Emily Fox Duration: 2015-12-28 ~ 2016-02-15 (6 weeks) Course : The 2nd(2/6) course of Machine Learning Specialization in Coursera Syllabus Record Certificate Learning outcome Describe the input and output of a regression model. Compare and contrast bias and variance when modeling data. Estimate model parameters using optimization algorithms. […]

Machine Learning Foundations: A Case Study Approach | Machine Learning Specialization | Coursera | Course

Brief Information Name : Machine Learning Foundations: A Case Study Approach Lecturer : Carlos Guestrin and Emily Fox Duration: 2015-10-22 ~ 11-02 (6 weeks) (~11-09) Course : The 1st (1/6) course of Machine Learning Specialization in Coursera Syllabus Record Certificate Learning outcome Identify potential applications of machine learning in practice. Describe the core differences in analyses enabled by regression, […]

The Latest Information Security Theory | CS | Course

Brief Information Name : The Latest Information Security Theory Lecturer : 유황빈 Semester : 2015 Fall Major : BE, Computer Science and Engineering Textbook 정보 보안 개론 – 한 권으로 배우는 보안 이론의 모든 것 | 양대일 (지은이) | 한빛아카데미 | 2013-06-28 인터넷 해킹과 보안- 정보 보안 개론과 실습 | 김경곤 (지은이) | 한빛아카데미 | 2014-01-02 Syllabus : (blank) In short […]

Major Deeped Lab.1 (Computer Graphics) | CS | Course

Brief Information Name : Major Deeped Lab.1 (Computer Graphics) Lecturer : 이준혁 (TA) Professor : Kang Hoon Lee (이강훈) Semester : 2015 Fall Major : BE, Computer Science and Engineering Textbook  Hughes, J. F., Dam, A. v., McGuire, M. , Sklar, D. F., Foley, J. D., Feiner, S. K. & Akeley, K. (2013) Computer Graphics: Principles and Practice. 3rd Ed. Addison-Wesley […]