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College of Natural Sciences

Department of Mathematics

Introduction

Mathematics is applied in almost every academic subject and it is a basic discipline that is expected to be used in much more areas in the future.

From this perspective, the educational objectives are to improve the ability to deal with mathematical subjects in strict logics, consistent systematics and simple abstraction and to foster human resources that are able to solve the problems presented in the society. The following are sub-objectives.

First, we help students understand basic and intermediate mathematical theories based on mathematics learned in high school and develop creative mathematical thinking abilities.

Second, based on mathematical abilities, we develop problem-solving skills that can be creatively applied to various academic disciplines.

Third, we develop the abilities for math teachers to provide creative education to teach mathematics more strictly and easily.

Fourth, we develop the qualities needed to become pure and applied mathematicians who can play an important role to improve mathematics for the next generation.

History

The Department of Mathematics was first installed and authorized within the College of Liberal Arts in 1967, which was changed to the College of Sciences after restructuring of the university in 1980. Graduate school courses were opened in February 1974. As of March 2010, 1,821 undergraduates, 116 masters and 40 Ph. D. were graduated. Graduates are currently active in parts of society such as in educational institutes including secondary school and universities, as well as in processing centers of financial institutions.

Job Fields

After completing teacher courses, students can become math teachers. Students can also find employment in processing centers at companies, financial institutes and public organizations. Students can also enroll in various application fields in graduate schools and there are more opportunities for students having double majors.

Faculty

※ sorted by the position and Korean name

Curriculum

Department Of Mathematics

Curriculum
1-1
CALCULUS I
Calculus(1) covers the following: Sequences, limits and continuity of functions of single variable, derivatives, properties of derivatives, differentiation rules, higher order derivatives, applications of derivatives, definite integrals, indefinite integrals, properties of integrals, integration rules, applications of integrals, infinite series power series.
1-1
CONVERGENCE- AND INTEGRATION-BASED THINKING AND WRITING
The ability of analyzing and solving problems is emphasized as one of the conditions for survival in the 21st century and one of the core elements of creative capabilities. This course was designed to cultivate convergence- and integration-based creative capabilities, which are integrated problem-solving capabilities to collect, analyze and process knowledge and information by reinforcing the ability of analyzing and solving problems, recreate it in a synthetic fashion, and express it effectively through speech and writing. The course will help the students cultivate their synesthesia thinking and communication skills based on sympathy with other human beings, understanding of the community, and positivity or Gongseong that is sought after by Yeungnam University. Its ultimate goals are to promote the students' creative knowledge development and reinforce their writing capabilities consistently through "convergence- and integration-based thinking and writing as a problem-solving approach."
1-1
SEMINAR FOR ACADEMIC LIFE
1. Summary of the course This course is to assist university freshmen in CRM designing to adapt university life well through the instruction and counselling of supervising professor. (This course is composed of self analysis, personality type test, career research, instruction for the success of university life, career plan and direction setting, CRM designing method and CRM designing. The course should be teaching in classes of the students by supervising professor.) 2. Course objectives This course is to motivate the students before the mid term exam and provide students with self analysis, personality type test (MBTI or TCI) and career research (YAT test). Also, this course shall has a plan to instruct the students to enhance the efficiency of university life through career and time management. In addition, this course is to make a chance for the students to have practical assistance to university life by providing study method, report designing strategy and the information on academic system and various kinds of internal programs of the university. After the mid term exam, the students will be instructed to set the direction of career designing through continuous counselling of supervising professor and the students will be able to establish CRM designing and execution plan.
1-1
SOCIAL CONTRIBUTION AND SERVICE
This course is to cultivate community sense as members of society and the global village for students in order to develop the basic knowledge required as global citizens. Especially, this course is to foster the spirit of cooperation, sharing, service, and creativity and study the social contribution and leadership to solving the challenges the global community faces. As a liberal arts course, it is centered to nurture a leader having the global capability to contribute to community development through learning the knowledge and the case on the value & logic of social responsibility focused on environmental preservation, social contribution, and good governance(ESG). This course aims to foster a generous mind, learn knowledge and technology and build the capacity to contribute to building a society towards a safer and happier world through the study of theory and practice.
1-1
SOFTWARE AND AI
Software and AI (Artificial Intelligence) course aims to educate the basic concepts of software and computational thinking to use them in various applications. It allows students of various majors to experience the core technologies of the 4th industrial revolution, such as big data, machine learning, and AI. It also introduces various applications of AI so that students can easily apply these technologies to their field of study. This course classifies the lecture types into three categories, and adjust the lecture difficulty according to the student's academic ability.
1-2
CALCULUS II
Calculus(2) covers the following: vector valued functions, curves in spaces, limits and continuity of functions of multi variables, partial derivatives, properties of partial derivatives, partial differentiation rules, higher order partial derivatives, applications of partial derivatives, double and triple integrals, properties of multiple integrals, applications of multiple integrals, line integrals, Green's theorem, surface integrals, Stokes' theorem, divergence theorem.
1-2
PYTHON PROGRAMMING
The core competencies required in the era of the Fourth Industrial Revolution is the ability to come up with idea for solving a given problem and realize it in software. In this course, as the first step this, we will learn Python programming language. This course aims to cultivate basic programming skills and problem-solving skills based on creative thinking. The topics covered in this course are as follows. - Python language grammar (basic and advanced levels) - Python library for GUI programming (tkinter) - Python library for image processing (pillow) - Python libraries for data analysis (Matplotlib, Numpy, and Pandas)
1-2
STATISTICS(1)
This course defines events and probabilities, conditional probabilities and independence to evaluate probabilities. Elementary probability distributions such as binomial distribution, geometric distribution, Poisson distribution, and normal distribution are also introduced. The concepts of sample distribution of the statistic and the central limit theorem are introduced. The statistical inference including estimation and hypothesis testing of the mean and the standard deviation will be discussed.

Contact

  • +82-53-810-2310
  • +82-53-810-4614