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 […]

Digital Image Processing | CS | Course

Brief Information Name : Digital Image Processing Lecturer : Lee Yun-Gu Semester : 2014 Fall Course : BE. Computer Science and Engineering Textbook : Gonzalez, R., C. and Woods, R., E. (2007) Digital Image Processing. 3rd E. Prentice Hall. Syllabus [link] Trace lectures Listing themes I learned in the lecture in time order. Image compression […]

Algorithm| CS | Course

Brief Information Name : Algorithm Lecturer : Kim Yonghyuk Semester : 2014 Fall Course : BE. Computer Science and Engineering Trace lectures Listing themes I learned in the lecture in time order. Evaluation of algorithms: Big O, Small o, Omega $latex Omega$ notation Computation of Complexity Algorithm design techniques Divide and Conquer “Divide recursively?an instance […]

Graduate schools I am considering

Purpose Training to be specialized in data analysis using advanced mathematical and computational method. Establishing knowledge background in English. Themes [Key words] data science, big data, data mining, machine learning optimized algorithm statistics. linear algebra artificial intelligence Professors and corresponding school and laboratory Korea 문병로 | SNU |Optimization Lab. 김대식 | KAIST |?Brain reverse engineering […]