OMH10107 - Special Topics in Oceanography

1. General information about the module

  • Module code:  OMH10107
  •  Vietnamese module designation:  Các chuyên đề hải dương
  • English module designation: Special Topics in Oceanography
  • Credit points: 2
  • Workload:
    • Total workload: 105
    • Contact hours: lecture: 15, practice: 30
    • Private study: 60 
  • Type of module: Specialization
  • Required and recommended prerequisites for joining the module: Introduction of Oceanography

2. Module objectives/intended learning outcomes

The course aims to delve into various topics related to oceanography, meteorology, and the process of solving real-world problems. It combines theoretical knowledge with practical application, including hands-on experiments in a laboratory setting and computational modeling. In addition to fundamental theories, the course also incorporates real-world practical exercises and laboratory work.

Students who complete this module could be achieved the following:

- Knowledge: Be able to Understand basic concepts related to waves, currents, and tides, as well as the methods and principles of measurement, analysis, and data processing for these phenomena; Apply data processing techniques to analyze wave, current, and tide data; Comprehend the characteristics of sedimentation and sediment consolidation, including the determination of particle size and settling velocity; Master the analysis and processing of fundamental hydrological data; Apply data processing tools effectively. 

- Skills: Be able to analyze and evaluate data and issues, data analysis and evaluation skills; Programming skills, work in individual work, self-study, lifelong learning, and problem solving. Ability to demonstrate creative and critical thinking in problem-solving; Read English in specialized documents and use some basic specialized English terminology; Ability to solve some application problems.

- Attitudes: Be able to apply, analyze and evaluate data/problems, follow the Standards and ethical principles.

- Behaviors: Demonstrate seriousness and honesty in learning, data analysis and examinations.