Introduction

While as being faithful to the basics, the Applied Mathematics program provides various courses of applied mathematics in a balanced way for students who want to learn the essential knowledge of pure and applied mathematics and subsequently advance into professional jobs that utilize mathematics, or related fields such as statistics, computer science, and financial engineering.

The essential contents of undergraduate mathematics are as follows. Students learn differential and integral calculus and learn multivariate functional theory and vector analysis toward analysis. Additionally, courses ranging from topics such as linear algebra, differential equation, and complex analysis have been established. As algebra, number theory, topology, and differential geometry are established, students learn the essentials of undergraduate mathematics.

As a characteristic of Applied Mathematics major, there are several statistical courses such as basic statistics, mathematical statistics, insurance statistics, and practical education through numerical analysis. Further, through subjects such as financial mathematics, probability theory, and industrial mathematics, students are enabled to experience the power of mathematics that analyzes and solves problems focusing on modern society.

To learn the language of the fourth industrial era, a programming language is established in common with the first year undergraduate departments of Software & Service Computing and Software Convergence, and then, through graph theory, discrete mathematics, and probability theory, students learn mathematical theories that are widely used in computer science. The program operates machine learning and deep learning courses in common with the Software Convergence major and pursues diversity in career choices.