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Curricular information is subject to change
On completion of this module students should be able to:
• Handle, manage, analyse and visualize environmental data using an Excel and SPSS software
• Conduct a modelling research project considering model assumptions and limitations (research question, hypothesis testing, modelling approach, designing modelling scenarios, interpretation of results)
• Apply the DayCent model at a site scale and integrate the model with available data
• Critically evaluate model performance
• Set up, execute and compare outputs for modelling scenarios
Student Effort Type | Hours |
---|---|
Lectures | 11 |
Computer Aided Lab | 22 |
Specified Learning Activities | 67 |
Autonomous Student Learning | 25 |
Total | 125 |
Students signing up for this module as an Elective should have a strong interest in data analysis and modelling of agroecosystem processes.
Description | Timing | Component Scale | % of Final Grade | ||
---|---|---|---|---|---|
Individual Project: Presentation of the student final modeling project providing information about the objective, hypotheses, modeling approach and preliminary results. |
Week 12 | Graded | No | 30 |
Yes |
Quizzes/Short Exercises: Reports on exercises during the semester | Week 1, Week 2, Week 3, Week 4, Week 5, Week 6, Week 7, Week 9, Week 10 | Graded | No | 30 |
Yes |
Report(s): Final modelling project is a written report on the module project at the end of trimester. It includes introduction, material & methods, results, discussion of the results, conclusions and references | Week 15 | Graded | No | 40 |
Yes |
Resit In | Terminal Exam |
---|---|
Spring | No |
• Feedback individually to students, post-assessment
On presentations - individually to students, post-assessment On final project report - individually to students, post-assessment