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Crisis, Disaster and Risk Management (Interdisciplinary)

For more details on the courses, please refer to the Course Catalog

Code Course Title Credit Learning Time Division Degree Grade Note Language Availability
CHS7002 Machine Learning and Deep Learning 3 6 Major Bachelor/Master/Doctor Challenge Semester - No
This course covers the basic machine learning algorithms and practices. The algorithms in the lectures include linear classification, linear regression, decision trees, support vector machines, multilayer perceptrons, and convolutional neural networks, and related python pratices are also provided. It is expected for students to have basic knowledge on calculus, linear algebra, probability and statistics, and python literacy.
CHS7003 Artificial Intelligence Application 3 6 Major Bachelor/Master/Doctor Challenge Semester - No
Cs231n, an open course at Stanford University, is one of the most popular open courses on image recognition and deep learning. This class uses the MOOC content which is cs231n of Stanford University with a flipped class way.  This class requires basic undergraduate knowledge of mathematics (linear algebra, calculus, probability/statistics) and basic Python-based coding skills. The specific progress and activities of the class are as follows. 1) Listening to On-line Lectures (led by learners) 2) On-line lecture (English) Organize individual notes about what you listen to 3) On-line lecture (English) QnA discussion about what was listened to (learned by the learner) 4) QnA-based Instructor-led Off-line Lecture (Korean) Lecturer 5) Team Supplementary Presentation (Learner-led)   For each topic, learn using the above mentioned steps from 1) to 5). The grades are absolute based on each activity, assignment, midterm exam and final project.   Class contents are as follows. - Introduction Image Classification Loss Function & Optimization (Assignment # 1) - Introduction to Neural Networks - Convolutional Neural Networks (Assignment # 2) - Training Neural Networks - Deep Learning Hardware and Software - CNN Architectures-Recurrent Neural Networks (Assignment # 3) - Detection and Segmentation - Generative Models - Visualizing and Understanding - Deep Reinforcement Learning - Final Project.   This class will cover the deep learning method related to image recognitio
COV7001 Academic Writing and Research Ethics 1 1 2 Major Master/Doctor SKKU Institute for Convergence Korean Yes
1) Learn the basic structure of academic paper writing, and obtain the ability to compose academic paper writing. 2) Learn the skills to express scientific data in English and to be able to sumit research paper in the international journals. 3) Learn research ethics in conducting science and writing academic papers.
DRM5001 International Disaster Management 3 6 Major Master/Doctor 1-8 - No
This course is designed for people interested in disasters from a research or policy perspective and for those who may be charged with responsibility for on-the-scene intervention. The semester will begin with an overview of risk, vulnerability, resilience and then focus on disaster institutions, policy, and politics. We will conclude by examining organizational and individual behavior in high-stress situations. Throughout the semester, particular attention will be paid to how disaster management efforts can increase the vulnerability of some populations or can promote widespread resilience.
DRM5002 Safety Management 3 6 Major Master/Doctor 1-8 - No
The goal of this topic is to teach basic principles of system safety, including accident analysis, hazard analysis, design for safety, human factors and safety, controlling safety during operations, and management of safety critical projects and systems. While you will learn what is currently done today, you will also learn new techniques that are proving to be more powerful and effective than the traditional safety engineering approaches.
DRM5004 law of Disaster 3 6 Major Master/Doctor 1-8 - No
This subject deals with the contents of emergency law to understand the characteristics of law that is related with safety purpose of life and property. In addition, the more general goals of this course are to provide the student with the following contents to help develop his or her potential: - more advanced study in laws related to emergency, disaster and security, etc. - improvement in social interaction skills and understanding disaster related problems
DRM5005 Urban disaster prevention 3 6 Major Master/Doctor 1-8 - No
This course deals with definitions of disaster and other related terms like hazard, vulnerability and prevention in urban areas. It includes existing disaster prevention system, disaster prevention projects, urban disaster prevention and mitigation facilities hierarchy location problem modeling, etc. Moreover it also addresses types of disaster and discusses the trends of the occurrence of disasters to introduce students the basic concepts of the subject matter.
DRM5007 Crisis and Emergency Management 3 6 Major Master/Doctor 1-8 - No
Risk management planning is the process of deciding how to approach, plan and execute the risk management activities for a project. The risk management approach may include decisions about the organization, staffing of the risk management activity, selection of the appropriate methodology, the sources of data to identify risk, and the time frame for the analysis. It is important to plan for the remaining processes of risk management so the level, type, and visibility of risk management are commensurate with both the risk and importance of the project to the organization.
DRM5008 Natural disaster reduction technology 3 6 Major Master/Doctor 1-8 Korean Yes
Floods, draughts, cyclones, earthquakes, landslides, and tsunamis – such natural hazards are some of humanity's eternal scourges. A natural disaster takes place when society meets the natural hazard. Modern society provides efficient means to evacuate and shelter in emergency situations but it is also becoming more vulnerable from its dependence of complex societal and technological infrastructures. A natural disaster often incurs very large financial, environmental, and human losses that are seldom indifferent to social position, age, or gender. This course deals with above mentioned topics and give a practical computer simulation technique.
DRM5011 Geographic Information Systems for Emergency Management 3 6 Major Master/Doctor 1-8 Korean Yes
Effective utilization of satellite positioning, remote sensing, and GIS in disaster monitoring and management requires research and development in numerous areas, including data collection, information extraction and analysis, data standardization, organizational and legal aspects of sharing of remote sensing information. This course provides a solid overview of what is being developed in the risk prevention and disaster management sector like GIS-based analysis for emergency management; domain-specific GIS applications; hands-on GIS software training; case studies on different aspects of emergency and disaster management.
DRM5018 Information Technology in Crisis and Emergency Management 3 6 Major Master/Doctor 1-8 Korean Yes
The role of information in crisis and response management; determining disaster and crisis information requirements; information technologies applied to crisis, disaster, and emergency management; causes and effects of information breakdowns during crises and disasters.
DRM5019 Disaster Risk Reduction 3 6 Major Master/Doctor 1-8 - No
Disaster risk reduction includes disciplines like disaster management, disaster mitigation and disaster preparedness, but DRR is also part of sustainable development. In order for development activities to be sustainable they must also reduce disaster risk. Risk analysis and evaluation (including hazard analysis and vulnerability analysis), risk reduction (prevention and mitigation) and preparedness.
DRM5020 Discipline of Crisis Preparedness and Response 3 6 Major Master/Doctor 1-8 Korean Yes
Current preparedness and response programs. Mitigation, preparedness, and response requirements to manage crisis incidents within the context of all-hazard emergency management. Case studies.
DRM5021 Business Continuity Management 3 6 Major Master/Doctor 1-8 - No
Business continuity plan (n.)—holistic management process that identifies potential impacts that threaten an organization and provides a framework for building resilience with the capacity for an effective response that safeguards the interests of key stakeholders, reputation, brand, and value-creating activities. This course studies the elements of risk assessment and operational continuity using the project management framework of planning, organizing, and control. Topics include: the role and need for comprehensive assurance strategy and planning.
DRM5022 Risk Analysis and Assessment 3 6 Major Master/Doctor 1-8 Korean Yes
Risk assessment is required both to ensure that a system is acceptably safe, and that the effor made to make the system safe is commensurate with the risk. Risk assessment is often based on the frequency and severity of an outcome, but sometimes can also be based upon the level of control a system has over that outcome. There is no one fixed basis for risk assessment across all domains, and some standards. While analysis can be based upon domain expertise, more exact techniques can be used. This course include topics and models in current risk analysis; modern applications of risk-based planning and risk assessment; use of quantitative methods in risk analysis.