103-0307-00L Multi-Criteria Decision Analysis
Semester | Autumn Semester 2020 |
Lecturers | A. Grêt-Regamey, M. J. Van Strien |
Periodicity | yearly recurring course |
Language of instruction | English |
Courses
Number | Title | Hours | Lecturers | |||||||
---|---|---|---|---|---|---|---|---|---|---|
103-0307-00 G | Multi-Criteria Decision Analysis The lecturers will communicate the exact lesson times of ONLINE courses. | 2 hrs |
| A. Grêt-Regamey, M. J. Van Strien |
Catalogue data
Abstract | Planners need to make decisions about the best possible mix of land uses. With increasing availability of spatial databases and the analytical capabilities of GIS, more effective decision support systems can be developed. The goal of the course is to provide the basics of spatial analysis and to teach the integration of spatial data into multicriteria decision-making systems. |
Learning objective | This course will: 1) introduce students to techniques and issues associated with spatial modeling and decision support systems, including analytical techniques that are unique to spatial analysis 2) provide hands-on training in the use of these spatial tools in R while addressing real planning problems. The emphasis is on concepts, resources, and analysis tools that students can use in science, private companies and government careers. |
Lecture notes | - Handouts of the lectures - Script - Exercise material Download: Link |
Prerequisites / Notice | The course will presume basic knowledge of the R software package. RE&IS Master students will acquire this knowledge during the "Basics of RE&IS" (103-0377-10L) course. Provided there are still available places, students from other disciplines can also join the part of "Basics of RE&IS" in which R is taught (i.e. first five lectures; no credit points will be awarded). These students can register for "Basics of RE&IS" by e-mailing Maarten van Strien (vanstrien@ethz.ch). Alternatively, they can acquire basic R knowledge with online tutorials, such as "Introduction to R" by W. N. Venables and D. M. Smith available online at http://cran.r-project.org/doc/manuals/R-intro.pdf. |
Performance assessment
Performance assessment information (valid until the course unit is held again) | |
![]() | |
ECTS credits | 3 credits |
Examiners | A. Grêt-Regamey, M. J. Van Strien |
Type | graded semester performance |
Language of examination | English |
Repetition | Repetition only possible after re-enrolling for the course unit. |
Additional information on mode of examination | Report (75%) and presentation (25%) |
Learning materials
Main link | Information |
Only public learning materials are listed. |
Groups
No information on groups available. |
Restrictions
There are no additional restrictions for the registration. |