Module: Land Use Ecomomics - Empirical Applications (4904-820)

Persons:

• Prof. Dr. Thomas Berger (verantwortlich)

Degree Program:

• PhD-Programme Agricultural Sciences (Doctoral degree programmes, since 20.02.2009)
  1. Semester, elective

Prerequisites for Attendance:

The module is targeted at Doctoral students and may be chosen as an elective module in the structured PhD Program. Basic knowledge in land-use modeling is a pre-requisite for taking this course.

Sprache:

English

ECTS:

6 credits

Frequency:

every semester

Length of the Module:

1 semester

Module examination:

Project work

Workload:

56 h presence + 104 h preparation at home + exam = 160 h workload

Professional competences:

Agent-based models have been applied in a large range of settings using different components and modules, yet have in common that model agents are autonomous decision-makers who interact, communicate and make decisions which can alter the environment. Applications of agent-based models are on forestry, irrigation, rangeland management, technology adoption, sustainable land use, and structural change in agriculture. Agent-based modeling is not yet covered in standard textbooks and requires a thorough understanding of quantitative modeling and computation. This module provides an opportunity to learn how to apply agent-based land use models in empirical research.

Key competences:

Analytical thinking, oral presentation, scientific reading, data handling, processing and analysis

Comments:

The module will be offered unblocked both in the winter and summer term.

Courses