Maarten Jan Van Strien: Catalogue data in Autumn Semester 2020

Name	Dr. Maarten Jan Van Strien
Name variants	Maarten J. van Strien Maarten Jan van Strien Maarten Jan van Strien
Address	Inst. f. Raum- u. Landschaftsentw. ETH Zürich, HIL H 51.2 Stefano-Franscini-Platz 5 8093 Zürich SWITZERLAND
Telephone	+41 44 633 24 64
E-mail	vanstrien@ethz.ch
Department	Civil, Environmental and Geomatic Engineering
Relationship	Lecturer

Number	Title	ECTS	Hours	Lecturers
103-0307-00L	Multi-Criteria Decision Analysis	3 credits	2G	A. Grêt-Regamey, M. J. Van Strien
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: http://irl.ethz.ch/education/courses/msc/multikriterielle_entscheidungsanalyse.html
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.
103-0377-10L	Basics of RE&IS Only for Spatial Development and Infrastructure Systems MSc.	2 credits	2G	M. J. Van Strien, R. Spielhofer, M. Switalski
Abstract	Every Master student should acquire a number of basic skills that will allow them to practice science independently. Especially in such a broad and practice-oriented MSc program as Spatial Development and Infrastructure Systems, it is important that all students develop a solid foundation of general scientific skills. In this course such general skills are taught.
Learning objective	The aim of the course is to teach students starting a RE&IS Master basic skills that are not only required to successfully complete the RE&IS Master program, but are also important for the future career in science or practice. The course consists of two components covering the following topics: -Learning the basics of the statistical software R -Important aspects of sound scientific conduct and practice.
Content	The first seven weeks of the course, students will learn the basics of the open-source software R, which is currently one of the most popular software programs for (statistical) data analysis and data modelling. During the computer lab sessions, students will learn how to read and write data from and to files, create and handle R objects such as vectors and data frames, plot data (histograms, boxplots, scattered plots and simple maps), write conditional statements as well as for- and while-loops. Each lab-session will start with a short lecture, after which students have to complete several exercises that have to be completed in order to pass the course. In the following five weeks, issues related to scientific conduct, such as plagiarism or citation, will be discussed. In addition, the students will be introduced to proper citation style and the important elements in the design of tables and graphs. This part of the course will consist of lectures and exercises. Students have to complete the citation and the graph/table exercise in order to pass the course. Two lectures in the course will be reserved for the students to work on their assignments.
Lecture notes	A syllabus of the course will be handed out at the beginning of the course. Furthermore, handouts of the lectures and exercise materials will be made available during the course.