Numerical Analysis 2 | MA | Course

Brief Information Name : Numerical Analysis 2 Lecturer : 이진우 Semester : 2015 Spring Course : BS, Mathematics Textbook Sauer, T. (2011) Numerical Analysis. 2nd Ed. Pearson Syllabus : Syllabus_2015-4-1__Numerical Analysis 2 In short Numerical Analysis with implementation using MATLAB Numerical Differentiation and Integration, Ordinary Differential Equations, Boundary Value Problems, Partial Differential Equations, Random Numbers and Applications Trace lectures […]

R Programming | Data Science Specialization | Coursera | Course

Brief Information Name : R Programming (the 2nd course of Data Science Specialization in Coursera) Lecturer : Roger D. Peng Course : Data Science Specialization in Coursera Syllabus : Syllabus__R Programming__Coursera In short In this course you will learn how to program in R and how to use R for effective data analysis. You will learn how to install […]

The Data Scientist’s Toolbox | Data Science Specialization | Coursera | Course

Brief Information Name : The Data Scientist’s Toolbox (the 1st course of Data Science Specialization in Coursera) Lecturer : Jeff Leek Course : Data Science Specialization in Coursera Syllabus : Syllabus__Data Scientist’s Toolbox In short In this course you will get an introduction to the main tools and ideas in the data scientists toolbox. The course gives an […]

Vector Calculus and Exercises | LA | Course

Brief Information Name : Vector Calculus and Exercises Lecturer : 강영옥 Semester : 2014 Winter Course : Liberal arts Textbook 송영권, 송형수, 이종우, 이흥수, 지은숙, 허민 (2009) 벡터해석. 교우사 Thomas, G., B. (2006) 미분적분학. 11 Ed. 자유아카데미 Syllabus : Syllabus__Vector Calculus and Exercises In short This lecture focused on understanding vector calculus by intuition rather than by strict mathematical proof. Vector […]

Mathematical Statistics 1 | MA | Course

Brief Information Name : Mathematical statistics 1 Lecturer : 지은숙 Semester : 2014 Fall Course : BM. Mathematics Textbook : 여인권, 송문섭, 허문열 (2009) 이론통계. 박영사 Syllabus [link] In short Introduction to Statistics. 2-semester course:  Mathematical statistics 1 and Mathematical statistics 2 Trace lectures Assignments None Summarize themes [After mid-term exam] t-distribution F-distribution Desirable characteristics of estimators Bias Small […]

Programming Language | CS | Course

Brief Information Name : Programming language Lecturer : 최강임 Semester : 2014 Fall Course : BE. Computer Science and Engineering Textbook : Kathy Sierra and Bert Bates (2005) Head First Java. 2nd Ed. O’Reilly Media Syllabus [link] In short Introduction to Java programming language after learning C++ Trace lectures Listing themes I learned in the lecture in time order. […]

Data Structure | CS | Course

Brief Information Name : Data structure Lecturer : Park Byung-Joon Semester : 2014 Fall Course : BE. Computer Science and Engineering Textbook : Michael Main and Walter Savitch (2010) Data Structures and Other Objects Using C++. 4th Ed. Prentice Hall Syllabus [link] Trace lectures Listing themes I learned in the lecture in time order. Assignments Implement the dynamic […]

Numerical Analysis 1 | MA | Course

Brief Information Name : Numerical Analysis 1 Lecturer : Lee Jin-woo Semester : 2014 Fall Course : BS, Mathematics Textbook Sauer, T. (2011) Numerical Analysis. 2nd Ed. Pearson Klein, P., N. (2013) Coding the Matrix: Linear Algebra through Applications to Computer Science. 1st Ed.  Newtonian Press Syllabus [link] Trace lectures Listing themes I learned in the […]