Coastal Marine System Science (CMSS)
Thesis students must submit a completed proposal for their thesis project. A course section will be created for the student to enroll. Upon successful completion and submission of the proposal signed by the graduate committee of the student, students may then register for CMSS 5393 Thesis Research. Open only to M.S. Thesis Degree Candidates in CMSS.
Implementation of the Thesis Proposal, and the production of a rough draft of the thesis submitted to the graduate committee of the student for initial editing and comment. A course section will be created for the student to enroll.
Prerequisite: CMSS 5392.
Completion of the final draft of the thesis, signed by the graduate committee of the student and ready for binding and distribution. A course section will be created for the student to enroll.
Prerequisite: CMSS 5393.
Study in areas of current interest. A total of six semester hours of Directed Independent Study may be counted towards the CMSS M.S. degree.
Research related to the CMSS M.S. thesis project. Open only to M.S. students in CMSS with consent of the graduate advisor. Up to six hours may count as credit toward regular graded (non-research, non-variable credit) elective coursework for M.S. degree requirement in Coastal and Marine System Science.
Statistical analysis for data collected in several variables. Topics include sampling from multivariate normal distribution, multivariate analysis of variance, discriminant analysis, principle components, and factor analysis.
Prerequisite: MATH 6315.
Modeling and analysis of deterministic and stochastic dynamical systems, including investigation of model behavior and stability. Theory will be applied to research natural environmental and biological systems such as multi-species systems, carbon circulation in the biosphere, Nutrients-Phytoplankton-Zooplankton models, etc.
Description of coastal and oceanic ecosystems to provide an overview of the fundamental concepts of the abiotic and biotic components, physical-chemical processes, and interactions with environmental and human systems.
Investigations of the origin, character, and processes of coastal geoenvironments with an emphasis on tracking historical and projecting future changes, including examination of the interactions of geological and biological processes and impacts of human activities on coastal depositional systems.
Fundamental theory of satellite/airborne remote sensing techniques, sensor performance and calibration, and the scientific applications for land, ocean and atmosphere observations. Topics include physical principles of remote sensing, radiometry, sensors and sensor technology from infrared to microwave sensing, and scientific applications for land, ocean and atmosphere observations. Cross listed with ESCI 6310.
Covers communication topics ranging from proposal writing to professional presentations with a minor emphasis on additional non-traditional communication formats. Must be taken to fulfill degree plan requirements by all Marine Biology graduate students and is recommended in the first spring of the degree.
The Geographic Information System (GIS) provides a vehicle for capturing, storing, querying, analyzing, and displaying multidimensional geospatial datasets. This course is designed to introduce students to advanced concepts of GIS and their applications to manage, analyze, and display of multidimensional environmental, geological, and geophysical datasets.
This course is designed to guide students through the process of preparing and conducting a data mining multi-disciplinary project in the field of coastal and marine system sciences that utilizes big data. The course begins with an introduction to python programming and data search and format manipulation, where students will learn how to locate and collect relevant spatial and/or temporal data from various sources and how to manipulate it into a format that can be easily analyzed and visualized. The course then moves on to experiment design, where students will learn how to design experiments to collect spatial and/or temporal data that can be analyzed using big data and data mining techniques. Artificial intelligence (AI) and machine learning (ML) will also be introduced as a powerful tool for analyzing complex data sets and students will learn how to apply various AI and ML algorithms to real-world problems in coastal and marine system sciences. Finally, students will present their projects identifying their research question, experiment design, the data identified, data used, data processing and manipulation steps, any analyses and visualizations (e.g., summary statistics, maps), and their proposed next steps with their data. Instructor permission.
Fundamental concepts of mathematical ecology and the design and analysis of environmental experiments. Students Learn SAS programming and procedures to compute ecological metrics, data management techniques, exploratory analysis, power, sample size, checking assumptions, and analysis of variance models to compute a priori and post hoc hypothesis tests.
Prerequisite: MATH 6315.
Succinct review of basic concepts of physical oceanography followed by general presentations and discussions in three selected areas: global ocean circulation, circulation along the Gulf of Mexico continental shelf, and ocean-atmosphere interaction and impacts on climate. A significant portion of the class is based on student guided reading assignments.
Study of the interrelationships of ancient organisms and their environment through interpretation of the fossil record, analog communities, and oceanographic data, such as carbon and oxygen isotopes. Theories and methods of reconstructing terrestrial, marine and freshwater biotic communities and environments. Review of classic paleoecological and paleoceanographic studies as well as current research.
Integrated examination of the geology and geochemistry of the marine environment. Evolution of ocean basins, continental margins and plate boundaries; geology of oceanic crust; controls on the types, origin, and distribution of marine sediments; and introduction to paleoceanography.
Statistical techniques (classic and Bayesian) and new artificial intelligence based techniques, such as neural networks, for the analysis of environmental systems with large datasets.
Prerequisite: CMSS 6305.
Integrated examination of global-scale geochemical cycles operating within and between the four components of the Earth system (atmosphere, hydrosphere, biosphere, and solid Earth) and their role in the evolution of our planet.
This course focuses on introducing the concept of acidification of marine ecosystems (estuaries and oceans) and biological and ecological responses to the acidification; the geological past will also be examined in the context of current ocean acidification. Numerical simulations using the software CO2SYS and interpretation of open-access global databases on global ocean and estuarine acid-base dynamics will be introduced in this class.
Investigation of the interactions between organisms and physical processes that regulate marine ecosystem functions.
This course is to enhance the programming skills of graduate students under various scientific programming environments. The focus is on the data analysis and problem-solving using Python, R, MATLAB and IDL. The contents of the course include the basic concepts of the operating systems and high-level programming languages, basics of programming in Python, general data analysis methods and tools, common scientific data formats, publication quality scientific graphics, the critical steps of building a large programming project.
This course will introduce students to the effects of climatic and anthropogenic change on aquatic ecosystem structure and function. Includes readings from the current literature and development of a research proposal. Cross-listed with MARB 6362.
Intensive study of the 1972 National Coastal Zone Management Act and subsequent coastal management programs. The Texas program, which is administered by the General Land Office, will be dealt with in depth as the central focus of the course. Statutory law relating to citizen, state, and federal rights and duties as they impact coastal and maritime law will be studied including applicable Texas real property law. Students will use case law studies relating to those rights and duties and Public Trust Doctrine cases to gain an integral part of understanding the responsibilities of governments and rights of citizens.
This course will introduce the fundamental concepts of neoclassical microeconomics and ecological economics and apply them to environmental and sustainability issues.
An advanced study of an environmental systems topic. May be repeated with full credit in another area of environmental systems.
Study in areas of current interest. A total of six semester hours of Directed Independent Study may be counted towards the Ph.D. degree.
DISSERTATION PROJECT RESEARCH Research related to Ph.D. dissertation project. Open only to degree candidates in Coastal and Marine Systems Science with consent of the graduate advisor. Course is taken as credit/non-credit and may be repeated.
Independent research conducted under supervision of an advisor. Open to Coastal and Marine System Science students who have not yet passed the qualifying exam and with consent of their graduate advisor. The course is graded with an S or U, and may be repeated.
Research related to Ph.D. dissertation project. Open only to degree candidates having passed the qualifying exam in Coastal and Marine System Science with consent of their graduate advisor. The course is graded with an S or U, and may be repeated.
Open only to degree candidates in Coastal and Marine System Science with consent of their graduate advisor. Students should enroll in this course during the last semester of the CMSS PhD program. To successfully complete this course the student must pass the dissertation defense as well as have a final copy of the dissertation signed by the full graduate committee and approved for binding and distribution. A course section will be created for the student to enroll. A grade of Credit/No Credit will be assigned for the class with the possibility to assign the grade of IP or In Progress. If a grade of IP is assigned, the course must be repeated the following semester(s) until the course is passed.