Module: Spatial Data Analysis with GIS (3103-450)

Persons:

• Prof. Dr. Thilo Streck (verantwortlich)

Degree Program:

• Landscape Ecology (Master, since 01.10.2014)
  2. Semester, semi-elective
• Agricultural Sciences - Soil Science (Master, since 01.10.2014)
  2. Semester, semi-elective
• Environmental Protection and Agricultural Food Production (until WS 2018/19) (Master, since 01.10.2014)
  2. Semester, compulsory
• Environmental Protection and Agricultural Food Production (from WS 19/20) (Master, since 01.10.2019)
  2. Semester, compulsory
• Environmental Science - Soil, Water, and Biodiversity (Regulations 2014) (Master, since 01.10.2014)
  2. Semester, compulsory
• Environmental Science - Soil, Water, and Biodiversity (Regulations 2014) (Master, since 01.10.2014)
  2. Semester, compulsory
• Environmental Science - Soil, Water, and Biodiversity (Regulations 2014) (Master, since 01.10.2014)
  2. Semester, compulsory
• Environmental Science - Soil, Water, and Biodiversity (Regulations 2019) (Master, since 01.04.2019)
  2. Semester, compulsory
• Environmental Science - Soil, Water, and Biodiversity (Regulations 2014) (Master, since 01.10.2014)
  2. Semester, compulsory
• Environmental Science - Soil, Water, and Biodiversity (Regulations 2019) (Master, since 01.04.2019)
  2. Semester, compulsory

Prerequisites for Attendance:

THIS MODULE IS ONLY OPEN TO STUDENTS ENROLLED IN PROGRAMMES IN WHICH IT IS MANDATORY . REGISTRATION FOR THIS MODULE THROUGH THE ILIAS SYSTEM IS MANDATORY. Basic knowledge of descriptive statistics will be helpful. Basic computer skills are required. Students who want to prepare for the module may take the ESRI self-study course. Please contact Dr. Sebastian Gayler (sebastian.gayler@uni-hohenheim.de) for details and a password.

Sprache:

English

ECTS:

7,5 credits

Frequency:

every summer semester

Length of the Module:

4 weeks (block 1)

Compulsory assignment:

Electronic exam as a GIS project work (30%). Taking the electronic exam is a precondition for sitting the written exam.

Final examination:

Written exam (70%)

Workload:

70 h presence + 130 h preparation at home + exam = 200 h workload

Professional competences:

Students will be able to analyse, process and illustrate spatial data by means of the Geographical Information System ArcGIS and geostatistical computer programs.

Comments:

PARTICIPATION IN THE COMPUTER EXERCISES IS MANDATORY.
You will not be allowed to take the exam if not having participated regularly in the computer exercises.

eLearning:

Course in ILIAS

Courses