Monika Anna Maria Niederhuber: Catalogue data in Spring Semester 2018

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
Limited to students in the 2nd semester of the study programmmes: Environmental Sciences Bachelor.
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.
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 mehrere 1- und 2-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.
Lecture notesDie Exkursionsbeschreibungen finden sich auf der Moodle-Plattform.
Literaturesiehe Moodle-Lernplattform
Prerequisites / NoticeDie Anmeldung zu den Exkursionen erfolgt gemäss separater Ausschreibung im Dezember 2016
701-0953-00LGIS Case Study
Prerequisites: 701-0951-00L "GIS - Introduction into Geoinformation Science" in autumn semester or comparable preparatory training.
2 credits2AM. A. M. Niederhuber
AbstractThis course engrosses the close to practice application of geographic information systems by means of self-dependent case studies (project work), being handled by small teams.
The students elaborate a project schedule, conceive an analysis workflow, effect a multi-stage analysis within the context of an environmental problem and present their results to the course plenum.
ObjectiveThe students ...
- deepen selected theoretical and practical skills of the GIST Bachelor course on a specified case;
- are able to acquaint themselves independently with complex spatial problems;
- can develop the necessary data and process models for the implementation;
- can independently manage and execute a project from planning to presentation;
- learn to work together with scientists of applied research.
ContentDie Studierendene führen eine praxisorientierte GIS-Analyse durch und präsentieren am Ende ihre Ergebnisse.
Lecture noteskein Skript
Prerequisites / NoticeEinführungskurs "GIST - Einführung in die Räumlichen Informationswissenschaften und Technologien" oder gleichwertige Vorkenntnisse.
701-1674-00LSpatial Analysis, Modelling and Optimisation Restricted registration - show details
Number of participants limited to 25.

The waitinig list will be deleted on March 4th, 2018.

Prerequisites: 701-0951-00L "GIS - Introduction into Geoinformation Science" in autum semester or comparable preparatory training.
5 credits4GM. A. M. Niederhuber, J. R. Breschan
AbstractProblems encountered in forest- and landscape management often have a spatial dimension. Methods and technics of geoinformation sciences GIS and/or optimization give support to identify good solutions. Students learn to conceptualize, implement and combine I) spatial analysis & modeling of geodata and, II) optimization techniques, based on theoretical inputs and practical work on small projects.
Objective- Conceptualize spatial problems and design a work flow from "data processing" through "advanced spatial analysis" to "presentation of results";
- Implement a specific workflow in standard GIS software, verify and validate procedures and results;
- Conceptualize an optimization problem and specify a workflow and the tools to solve the problem;
- Implement a specific optimization problem in standard software, verify the procedures and check the validity of results;
- Process problem-specific spatial data, export them to standard exchange file formats, and import them into optimization- or analysis tools;
- Conceptualize, implement and solve spatially-explicit optimization models by integrating spatial analysis with optimization techniques.
LiteratureChurch RL, Murray AT (2009). Business Site Selection, Location Analysis, and GIS,
Wiley, Hoboken [spatially-explicit optimization]
Williams HP (1999). Model Building in Mathematical Programming. 4th edition, Wiley, Chichester [introduction to optimization techniques]
Prerequisites / NoticeKnowledge and skills equal those of the course "GIST - Einführung in die räumliche Informationswissenschaften und Technologien"