Training USTians with pride by promotinga creative educational environment

Secure world-leading educational competitiveness

Discovering creative talent and to become real USTians
Establishment of UST21 education system

Become a university with industry-academia-research integration

Strengthening the cooperation between UST-GFRIs-corporations
Strengthen the cooperation between GFRIs
Support business start-ups with GFRI-based technologies

Establish global status as a national research university

Improving brand value
Improving cooperation network

Establish creative knowledge management system

Providing creative educational environment by applying cutting-edge technology
Improving management effectiveness


The Ocean Science major aims to cultivate experts capable of using state-of-the-art oceanographic observation equipments and numerical models to study, preserve, and develop the ocean. In order to achieve these goals, the major has two specialized sub-majors such as Oceanography and Applied Ocean Science. The basic fields related to the ocean are educated in the Oceanography sub-major, and the applied fields related to the ocean are educated in the Applied Ocean Science sub-major. Once the student's specialty and his/her academic advisor have been decided, lectures focus on the specialty, and a wide range of field researches are conducted including equipment operation and data processing techniques.

세부 전공명, 전공내용으로 구분하여 안내합니다.
세부 전공명 전공내용
Oceanography This course is designed to nurture excellent experts in the future ocean science field by systematically educating physical oceanography, chemical oceanography, marine biology, geological oceanography, and ocean climatology, also by acquiring techniques of cutting-edge ocean observation equipment and numerical modeling.
Applied Ocean Science This course is designed to nurture excellent experts in the future applied ocean science field by professionally educating marine natural chemistry, marine biotechnology, marine environmental studies, environmental biology, satellite oceanography and coastal engineering, also by acquiring ocean measurement and analysis techniques.
London Protocol of Engineering Master of Project Administration This is a professional Master’s degree course established to support the compliance of London Protocol by educating public officers from foreign countries who administer various projects in ocean environment and coastal engineering. This course is designed to nature excellent experts for effective management of ocean/coastal projects by professionally providing knowledges and technologies on ocean waste dumping and marine environment restoration that are main agendas of London Protocol, as well as on coastal engineering.

Course Name (Kor/Eng)

연안현상예보 및 분석이론 (Coastal Prediction and Analysis Theories)

Course Details

Course Details
캠퍼스, 학위과정, 학점, 이수구분, 강의형태, 강의방법, 주관교수로 구분하여 안내합니다.
Campus KIOST School
Academic Curriculum Master Credts 3
Completion Criteria Major Lecture Types Major
Lecture Methods Korean course Supervising Professors


강의목표, 교재 및 참고문헌, 수업운영방식, 과제물, 성적평가방식으로 구분하여 안내합니다.
Lecture Objectives 이 과목에서는 연안현상에 대한 대표적인 예보기법인 연안역 수치모델링을 학습하고 관련 지식 및 기술을 습득하며 연안에서 발생하는 현장자료의 분석 및 적용에 관한 여러 이론을 학습한다. 또한 자료 분석을 위한 소프트웨어인 Matlab 과 R (Python) 을 학습한다. In this course, students are invited to study numerical modeling methods that are usefully applied to predict coastal phenomena, and to learn various theories to analyse coastal data for practical application. Students are also invited to learn data analysis software such as Matlab and R (Python).
Textbooks and References
How a Lecture is Conducted
Grading and Score Evaluatios

Weekkly Syllabus

Weekkly Syllabus
Weekkly, 계획으로 구분하여 안내합니다.
1 Week 연안자료 적용 소개 [Introduction of coastal data application]
2 Week 수치모델 소개 / Matlab (기본 명령어) [Introduction of numerical model / Matlab (Basic commands)]
3 Week 수치 기법 / Matlab (자료 입출력) [Numerical schemes / Matlab (Data input/Output)]
4 Week 연안모델링 / Matlab (기초 자료처리기법) [Coastal modeling / Matlab (Basic data analysis techniques)]
5 Week 난류 모델링 / Matlab (심화 자료처리기법) [Turbulence modeling / Matlab (Advanced data analysis techniques)]
6 Week Telemac 과 OpenFoam 모델 / Matlab (가시화) [Telemac & OpenFoam models / Matlab (Visualization)]
7 Week 기초수치방정식의 해 / Matlab (기초 수치방정식 수립) [Solutions of basic numerical equations / Matlab (Constructing basic numerical model)]
8 Week 중간 평가 [Mid-term exam]
9 Week 조화분석 I - R 언어 기본 개념 및 명령어 [Harmonic analysis I (using R) - Basic R concept and commands
10 Week 조화분석 이론 II ? 조위 및 조류 [Harmonic analysis II - tidal elevation and current]
11 Week 조화분석 이론 III ? 조위 및 조류 [Harmonic analysis III tidal elevation and current]
12 Week 파랑 자료분석 이론 I ? zero-crossing 기법 [Wave data analysis theory I - zero-crossing method]
13 Week 파랑 자료분석 이론 II ? 스펙트랄 분석 [Wave data analysis theory II - spectral analysis]
14 Week 파랑 자료분석 이론 III ? 기초 통계분석 [Wave data analysis III - basic statistical analysis]
15 Week 파랑 자료분석 이론 IV ? 분포 적합화 기법 [Wave data analysis theory IV - distribution fitting technique]
16 Week 기말 평가 [Final-Exam]