Risk and Uncertainty Quantification in Earth Systems Graduate Minor
Marine and coastal scientific and management issues are technically and socially complex, involving many forms of science, interests, perspectives, and stakeholders. There is much uncertainty in modeling forecast and policy outcomes associated with climate change and global markets. This interdisciplinary graduate minor will provide students with knowledge and skills to quantify and communicate risk and uncertainty derived from the analyses of large data in earth system science.
The graduate minor focuses on marine science and resource management, yet will be relevant to students from a variety of fields. Students will extend their ability to perceive and solve problems in a transdisciplinary context related to statistical inference, uncertainty quantification, risk analyses, earth system science, and social systems. Students will also acquire professional skills in communication and collaboration. The world is changing. Join us in becoming more resilient. The graduate minor is open to all OSU graduate students.
The “social or human system” component is one of the key elements of a coupled natural human system. Specifically, it encompasses the social, cultural, economic, management, and policy aspects of the system, and how they interact with each other and with their environment. Disciplinary approaches to the human system include anthropology, sociology, policy, economics, etc. The goal of the “social systems” training component of the graduate R&U minor is to learn about social science methods, theory and/or applications as they relate to a marine, coupled natural human system. Risk and Uncertainty graduate minor students are expected to complete the requirements by taking at least one course in this area. The course must allow students to: (1) Recognize the perspective of the particular discipline or area of study, (2) Understand and respect the various methodological approaches used in the social sciences (qualitative and/or quantitative), their possibilities and limitations, and how these may be best integrated to the earth systems, big data or R&U component of the minor, (3) Explain and extract the scalar nature of the course material, whether it is related to cultural, social, institutional, management, or policy aspects of a system, (4) Critically assess gaps or opportunities for inclusion of social, cultural, or economic elements of a natural system, and vice versa.
Risk and Uncertainty
The goal of the risk and uncertainty quantification training component of the graduate R&U minor is to understand and acquire mastery of some of the fundamental mathematical/computational and statistical methods for quantifying uncertainty and analyzing risk for decision making. NRT (National Research Traineeship) students seeking the graduate minor are expected to acquire (mathematical/computational/statistical) tools that can be used to describe and assess risk and uncertainty in problems related to the marine, coupled natural human system. Students have options to choose from a variety of courses dealing with the mathematical foundations of risk and uncertainty involving mathematical techniques in (i) decision making under uncertainty, (ii) ruin probabilities, (iii) measures of variability, (iv) probabilities of rare events and large deviations, (v) Monte Carlo simulation, (vi) optimization and dynamic programming, (vii) stochastic models in biology pertaining to spread of disease and related phenomena. Students are expected to acquire experience in a combination of computational, simulation and/or theoretical approaches. NRT students with a social science or human dimension component will be expected to understand and become literate and conversant in the quantitative aspects of risk and uncertainty quantification.
Students will develop an integrated understanding of the Earth System, including biological, physical and geological mechanisms that affect Earth climate, species dynamics and interactions, elemental cycles and ecosystem services. The emphasis will be on understanding the linkages between physics, biology, geology, and chemistry from a system theory perspective, and on how these linkages affect Earth’s biogeochemical processes. Disciplinary components of the Earth System module include biological, chemical and physical oceanography, biogeochemistry, geology, climate and atmospheric sciences, and ecology.
Issues surrounding massive data sets ("big" data) are intertwined with data-enabled science and engineering. The goals of the big data training component are for students
- to acquire computational and data-management skills necessary for handling and processing large data sets, and
- to assess the value of information obtained from big data with respect to such issues as observation bias, signal versus noise, spurious relationships, and incidental endogeneity.
Much of the training in big data management and processes is acquired through hands-on experiences. Specific components of the big data module include handling and processing massive datasets; being able to identify and articulate the limitations of big data sets; implementing classification, clustering and/or network analyses as appropriate.
Minor Code: 5050
Graduate PhD students are required to complete at least 18 credits, MS students complete 15 credits.
All students complete the professional development requirement (6 credits).
Additional credits are taken from these four following specializations:
- Big Data and Uncertainty Quantification
- Risk Analyses
- Earth Systems
- Social Systems
There must be a minor professor in the student's committee. The minor professor is in any of the fields where course designators fall but must not be from the student’s major.
Classes for Minor
Graduate PhD students are required to complete at least 18 credits, MS students are required to complete at least 15 credits for the minor.
PhD students take one course from each of the four remaining areas: Big data and Uncertainty Quantification, Risk Analyses, Earth Systems, and Social Systems.
MS students take one course in Social Systems and one in Earth Systems and choose one course from either Big Data and Uncertainty Quantification or Risk Analysis.
|MRM 525||SPECIAL TOPICS IN MARINE RESOURCE MANAGEMENT 1||6|
|Big Data and Uncertainty Quantification Specialization|
|AI 534||MACHINE LEARNING 2||4|
|CS 515||ALGORITHMS AND DATA STRUCTURES 2||4|
|GEOG 565||SPATIO-TEMPORAL VARIATION IN ECOLOGY AND EARTH SCIENCE||4|
|ST 538||MODERN STATISTICAL METHODS FOR LARGE AND COMPLEX DATA SETS||3|
|ST 599||SPECIAL TOPICS (Big Data and Uncertainty Quantification)||1-4|
|Risk Analysis Specialization|
|FW 544||QUANTITATIVE DECISION ANALYSIS FOR FISH AND WILDLIFE MANAGEMENT||4|
|MTH 527||INTRODUCTION TO MATHEMATICAL BIOLOGY||3|
|MTH 563||PROBABILITY I||3|
|MTH 567||ACTUARIAL MATHEMATICS||3|
|MTH 599||SPECIAL TOPICS (Risk Analysis)||3|
|Earth Systems Specialization|
|Select at least one of the following:||3-4|
|COASTAL HAZARDS: PROCESSES, RESPONSE, AND ADAPTATION|
|GLOBAL BIOGEOCHEMICAL CYCLES|
|OCEAN ECOLOGICAL DYNAMICS|
|COASTAL AND ESTUARINE OCEANOGRAPHY|
|SPECIAL TOPICS IN OCEANOGRAPHY|
|THE SOLID EARTH 2|
|THE FLUID EARTH 2|
|THE BIOGEOCHEMICAL EARTH 2|
|Social Systems Specialization|
|Select at least one of the following:||3-4|
|NATURAL RESOURCES AND COMMUNITY VALUES|
|SPECIAL TOPICS (Policy Conflict and Public Participation, 3)|
|PRINCIPLES AND PRACTICE OF MARINE RESOURCE MANAGEMENT|
|THE POLICY AND LAW OF UNITED STATES COASTAL GOVERNANCE|
|MARINE POLICY IN THE UNITED STATES|
|SOCIETY AND NATURAL RESOURCES|
2 credits each fall, winter, and spring term in sequence:
- Marine and Earth Systems Science: Foundations in Risk and Uncertainty (2)
- Marine and Earth Systems Science: Collaborative Working Structures in Risk and Uncertainty (2)
- Marine and Earth Systems Science: Communication of Risk and Uncertainty (2)
Classes where a more advanced listing can be substituted.
Minor Code: 5050