Monika Anna Maria Niederhuber: Catalogue data in Autumn Semester 2020

NameMs Monika Anna Maria Niederhuber
Address
Inst. f. Terrestrische Oekosysteme
ETH Zürich, CHN K 70.1
Universitätstrasse 16
8092 Zürich
SWITZERLAND
Telephone+41 44 632 69 84
E-mailmonika.niederhuber@usys.ethz.ch
DepartmentEnvironmental Systems Science
RelationshipLecturer

NumberTitleECTSHoursLecturers
701-0026-00LExcursions Restricted registration - show details
For students in the third semester only.
This course will be offered in Spring Semester 2021 for students who will be in there second semester then.

This course takes place according to a special programme. For registration please see "Requirements/ Notice"
1 credit2PM. A. M. Niederhuber
AbstractExcursions are an ideal framework for combining theoretical concepts of the environmental study program with the real world. An intensive discussion of environmental science and political questions takes place on three excursion days. The students learn about the specifics and challenges of a region and deepen their knowledge in exchange with experts.
Learning objectiveStudents are able to
- describe concrete environmental science / environmental policy issues of a region and deepen their knowledge in collaboration with the respective experts.
- present different perspectives of a spatial question, and discuss and analyze different points of view.
- explain the interrelations between the different subjects of their environmental studies included in the excursions.
- describe future fields of work and activities of environmental scientists using concrete examples.
ContentEs werden voraussichtlich sieben1-tägige Exkursionen angeboten, welche die verschiedenen Fachrichtungen des D-USYS abdecken.
Eine ausführliche inhaltliche und organisatorische Beschreibung der einzelnen Exkursionen befindet sich auf der dazugehörigen Moodle-Lernplattform.
Ziel ist, dass jeder Studierende des 3. Semesters UMNW im HS einen Exkursionstag belegen kann. Ein zweiter Exkursionstag wird im FS 2021 angeboten.
Lecture notesDie Exkursionsbeschreibungen finden sich auf der Moodle-Plattform.
Literaturesiehe Moodle-Lernplattform
Prerequisites / NoticeDie Anmeldung zu den Exkursionen erfolgt gemäss separater Ausschreibung.
701-0951-00LGIS - Introduction into Geoinformation Science and Technology Restricted registration - show details
Number of participants limited to 50.
5 credits2V + 3PM. A. M. Niederhuber
AbstractTheoretical basics and fundamental concepts of Geographic Information Science (GIS) are imparted and subsequently further elaborated with the software ArcGIS.
At the end, the students will be able to independently solve basic realistic GIS problems.
Learning objectiveStudents are able to
- elucidate the theoretical and conceptional foundations of geographic information systems (GIS)
- independently perform normal GIS work using commercial software and practical examples
ContentThe course covers the following topics:
- What is GIS? What are spatial data?
- The representation of reality by means of spatial data models: vector, raster, TIN
- The four phases of data modelling: Spatial, conceptual, logical and physical model
- Possibilities of data collection
- Transition of reference frame
- Spatial Analysis I: query and manipulation of vector data
- Spatial Analysis II: operators and functions with raster data
- Digital elevation models and derived products
- Process modelling with vector and raster data
- Presentation possibilities of spatial data

One Friday is reserved for a field trip or guest speaker;
LiteraturePaul A. Longley, Michael F. Goodchild, David J. Maguire, David W. Rhind (2010): Geographic Information Systems and Science. John Wiley & Son, Ltd. Chichester.

Norbert Bartelme (2005): Geoinformatik - Modelle, Strukturen, Funktionen. Springer Verlag. Heidelberg.

Ralf Bill (2010): Grundlagen der Geo-Informationssysteme. 5., völlig neu bearbeitete Auflage. Wichmann Verlag. Heidelberg.
Prerequisites / NoticeAufgrund der Grösse des verfügbaren EDV-Schulungsraumes ist die Teilnehmerzahl auf 50 Studierende beschränkt! Für die Übungen werden die Studierenden auf zwei Zeitfenster aufgeteilt. Pro Zeitfenster können maximal 25 Studierende betreut werden.