My past teaching interests and curriculum at the University of the Virgin islands, involved the following courses across different interdisciplinary domains:

Graduate Courses

  • Principles of Geographic Information Science - GISci (MES565). Graduate level course that explores key principles, theories, practices and applications of the new area of Geographic Information Science. The course aims to provide to graduate students a good mix of theoretical, methodological, and practical knowledge regarding geographic information. It includes advanced lab training and certification in 72 hours of training. It promotes professional competencies and skills in spatial thinking and analysis for natural resource management professionals. 5 credits. Fall semesters. More information>>
  • Human Dimensions in Natural Resource Management and Policy (MES 690): Graduate level course that provides a comprehensive and integrative or transdisciplinary overview of a range of human dimensions areas involved in environmental and natural resource management and policy. The course content is complemented with a parallel group research project development that aims to builds graduate student skills and competencies in addressing coupled or linked social-ecological systems and their need for close integration. 4 credits, Fall semesters. More information>>

Undergraduate Courses

  • Scientific Computing Applications (CSC 239): Undergraduate level course open to all UVI students, from all colleges and schools. The course aims to provide the content and context of using computers and computational principles in advancing scientific exploration and investigation. It further provides a general overview of the types of scientific computing applications, and the important of computational sciences and approaches to advancing knowledge and technology in our modern societies. 3 credits, Fall semesters. More information>>
  • Mathematical Modeling (MAT 352): Undergraduate level course open to upper-level UVI students of the College of Science and Mathematics. It provides a comprehensive review of mathematical modeling applications, from working with random variables and data structures, probability calculus, distributions and probabilistic modeling, game-theoretical modeling, graph-theoretic and network (including social networks and Bayesian networks) modeling, and introduction to agent-based modeling techniques. The students obtain skills in multiple modeling software and modeling tools. 3 credits, Fall Semester of odd years. More information>>

Other Teaching Activities

My other teaching activities include: