Monika Anna Maria Niederhuber: Catalogue data in Spring Semester 2019 |
| Name | Ms 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 |
| monika.niederhuber@usys.ethz.ch | |
| Department | Environmental Systems Science |
| Relationship | Lecturer |
| Number | Title | ECTS | Hours | Lecturers | |
|---|---|---|---|---|---|
| 701-0026-00L | Excursions  Limited to students in the 2nd semester of the study programmmes: Environmental Sciences Bachelor. | 1 credit | 2P | M. A. M. Niederhuber | |
| Abstract | Excursions 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. | ||||
| Objective | Students 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. | ||||
| Content | Es 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 notes | Die Exkursionsbeschreibungen finden sich auf der Moodle-Plattform. | ||||
| Literature | siehe Moodle-Lernplattform | ||||
| Prerequisites / Notice | Die Einladung zur Exkursionsanmeldung erfolgte via Email | ||||
| 701-0953-00L | GIS Case Study Prerequisites: 701-0951-00L "GIS - Introduction into Geoinformation Science" in autumn semester or comparable preparatory training. | 2 credits | 2A | M. A. M. Niederhuber | |
| Abstract | This 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. | ||||
| Objective | The 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. | ||||
| Content | Die Studierendene führen eine praxisorientierte GIS-Analyse durch und präsentieren am Ende ihre Ergebnisse. | ||||
| Lecture notes | kein Skript | ||||
| Prerequisites / Notice | Einführungskurs "GIST - Einführung in die Räumlichen Informationswissenschaften und Technologien" oder gleichwertige Vorkenntnisse. | ||||
| 701-1674-00L | Geospatial Data Management and Analysis Number of participants limited to 25. Prerequisites: 701-0951-00L "GIS - Introduction into Geoinformation Science" in autum semester or comparable preparatory training. | 5 credits | 4G | M. A. M. Niederhuber, T. Crowther | |
| Abstract | Problems encountered in forest and landscape management often have a spatial dimension. Methods of geoinformation sciences provide support in identifying creative solutions. Students will learn to a) understand, search for, and manage different forms of geospatial data; b) conceptualize, implement, and combine spatial analysis methods; and c) interpret the results. | ||||
| Objective | Understand, search for, and manage various types of geospatial data; Carry out conceptual data modelling for a spatial problem and translate it into a tangible form within a GIS software; Conceptualize spatial problems and design a workflow that transitions from "data processing" through "advanced spatial analysis" to "presentation of results"; Implement such a workflow in standard GIS software, verify and validate the procedures, then present the final results. | ||||
| Prerequisites / Notice | Knowledge and skills equal those of the course "GIST - Einführung in die räumliche Informationswissenschaften und Technologien" | ||||