The Boot Camp at Korea University Business School was held at Hyundai Motor Hall RM303 from Feb. 10 to Feb. 14 (Fri). The Boot Camp was held for five days, three hours a day, with special courses on programming in the morning and courses on math and statistics in the afternoon. Those who did not bring their own laptop attended the course at RM401 computer room of Hyundai Motor Hall, and online video lectures were also conducted at the same time for the convenience of students.

The special lecture on programming held in the morning focused on understanding programming techniques for engineering use, such as python, R programming and big data analysis, and learning how to use them in practice. Instructor Park Joon-gyu, who was in charge of this programming special lecture, first explained the data structure and repetition which are the basis of python programming. "The data structure basically provides four things at Python," said Park. "List and Dictionary are important among them. There are for-sentence and while-sentence, and for-sentence is highly utilized," he said. "When you first encounter Python, you should learn the list and the for-sentence." The five-day special course on programming was given on Python overview and programming techniques on the first day, Web crawling and data analysis on the second and third day, and data analysis practices and R basics on the fourth and fifth day,.

Special lectures on mathematics and statistics were given in the afternoon. The specific course aimed to intuitively understand the mathematical-statistical basis and introduce a simple analytical model that can be applied to the BA curriculum and Capstone projects. Special lectures on mathematics and statistics were conducted by lecturer Lee Woong-ki. Lee began the lecture by outlining the course contents for five days. "What we will learn in the first day is about the level of a freshman in the undergraduate school, so I'm going to go through it step by step by step," he said. "But from day 2, the difficulty gradually rises, so I'll go with an intuitive explanation rather than a specific description." He went on, “The math and statistics special lecture will cover the mathematical basis of polynomial calculus, Taylor series, and marginal utility, as well as vectors, matrices and statistics on the first day. On the second and third day, we will learn about the partial differential, partial integral, retrograde sequence, matrix differential and large number of laws, and on the last four to five days, we will learn about the regression model, causal analysis model, and stock price analysis model.”