CE7007 DATA MANAGEMENT IN COASTAL AND OCEAN ENGINEERING

Course Code:5627007
METU Credit (Theoretical-Laboratory hours/week):3 (3.00 - 0.00)
ECTS Credit:8.0
Department:Civil Engineering
Language of Instruction:English
Level of Study:Graduate
Course Coordinator:Assoc.Prof.Dr. CÜNEYT BAYKAL
Offered Semester:Fall or Spring Semesters.

Course Objectives

By the end of this course, the students will:

  • Understand the role and importance of hydrodynamic data in river, coastal, and ocean engineering.
  • Learn principles and methods of data collection, validation, and management in marine systems.
  • Develop practical skills in processing and applying hydrodynamic, bathymetric, and topographic data using computational tools.
  • Gain familiarity with emerging data sources, including climate change projections, and their integration into hydrodynamic and oceanographic studies.

Course Content

Overview of hydrodynamic systems, overview of data collection in hydrodynamic systems, Fundamentals of data; Parameters and their importance; Needs, benefits and techniques of data collection; Reliability of data, Worldwide network on ocean monitoring and data collection; Data searching strategies, Marine data formats; integrated data formats, station data and gridded data domains, Data categorization and management principles; Scientific metadata and general metadata standards and formats; Bathymetric and topographic data processing, searching and processing relief data, Computational tools, Typical examples and applications with different computational tools, Specific applications for mapping with meta data, Utilization of data in all aspects of hydrodynamics, river, coastal and ocean engineering; Case studies.


Course Learning Outcomes

By the end of this course, the students will be able to:

  • Identify key parameters of hydrodynamic data and explain their significance.
  • Assess data quality and apply suitable strategies for organizing and managing marine datasets.
  • Process and integrate bathymetric and topographic data using metadata standards and formats.
  • Apply computational tools to analyze, visualize, and interpret hydrodynamic data for engineering applications.
  • Incorporate and evaluate climate change projection datasets from different sources in hydrodynamic system studies.

Program Outcomes Matrix

Contribution
#Program OutcomesNoYes
1Conducts research to investigate and solve advanced civil engineering problems using appropriate scientific methods and acquires the fundamental knowledge to evaluate the results.
2Reviews and synthesizes relevant literature to identify the current state of the art.
3Engages in lifelong learning and professional development, and gains familiarity with emerging practices.
4Formulates and solves complex civil engineering problems by selecting and applying appropriate tools and techniques.
5Communicates effectively in written and oral forms, particularly in conveying research processes and outcomes to diverse audiences.
6Upholds professional and ethical responsibility in research, with an awareness of global, societal, environmental, and scientific contexts.