Kursussøgning, efter- og videreuddannelse – Københavns Universitet

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Kursussøgning, efter- og videreuddannelse

Ecological Modelling

Practical information
Study year 2016/2017
Time
Block 3
Programme level Full Degree Master
ECTS 7,5 ECTS
Course responsible
  • Guy Schurgers (4-6f7d7b6b48716f7636737d366c73)
  • Department of Geoscience and Natural Resource Management
Course number: NIGK15005U

Course content

The course teaches fundamental knowledge of ecological modelling, with a focus on processes in ecosystem and their environment. It addresses how numerical models can be used together with experiments and observations to understand the dynamics of ecosystems, and how these models can be applied to address the interactions between soil, vegetation and atmosphere in a quantitative manner.

The focus is on understanding and representing ecosystem processes, and on the design, implementation and assessment of numerical models to describe these. The course has a strong emphasis on hands-on experience in designing and implementing models, with computer exercises as the main method to practice this.

Learning outcome

Knowledge:

  • Modelling of biogeochemical processes in soil and vegetation, and the influence of environmental drivers on these
  • Modelling of population dynamics: exponential growth, logistic growth, and predator-prey models (Lotka-Volterra dynamics)

 

Skills:

  • Description of systems with relational diagrams
  • Numerical integration (understanding of Euler forward integration, and basic knowledge of higher-order integration methods)

 

Competences:

  • Ability to describe ecosystems and their processes in qualitative and quantitative ways
  • Understanding of the linkage between hypotheses, ecological theory and models, and between models and experiments/observations.
  • Design of a model with state variables and their rates of change, definition of system boundaries
  • Understanding of the numerical integration of models
  • Critical assessment of the outcome of models, their sources of uncertainty, and the limitations of model design

 

Recommended prerequisites

BSc in Geography and Geoinformatics or equivalent.

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Education

MSc Programme in Geography and Geoinformatics
MSc Programme in Geography and Geoinformatics with a Minor Subject
MSc Programme in Environmental Science

 

Studyboard

Study Board of Geosciences and Management

Course type

Single subject courses (day)

Duration

1 block

Schedulegroup

A
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Teaching and learning methods

The form of teaching is exercises combined with ad hoc lectures. For the teaching plan, please see Absalon.

Capacity

25 students (1 class of 25).

Language

English

Literature

Please see Absalon course page

Workload

Category Hours
Theory exercises 35
Project work 35
Preparation 136
English 206

Exam

Type of assessment

Written assignment
Oral examination, 20 minutes
The written assignment is prepared during the course and must be handed in prior to the exam week. The oral exam uses the written assignment as its point of departure. It includes the titles listed in the officially approved reading list.

Aid

All aids allowed

Marking scale

7-point grading scale

Criteria for exam assessment

Please see learning outcomes.

Censorship form

No external censorship
Several internal examiners.

Re-exam

Resubmission of written assignment, 20 minutes oral examination. The written assignment must be handed in prior to the re-examination week. The oral exam uses the written assignment as its point of departure. It includes the titles listed in the officially approved reading list.

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