Maarten Jan Van Strien: Catalogue data in Autumn Semester 2017

Name Dr. Maarten Jan Van Strien
Name variantsMaarten J. van Strien
Maarten Jan van Strien
Inst. f. Raum- u. Landschaftsentw.
ETH Zürich, HIL H 42.3
Stefano-Franscini-Platz 5
8093 Zürich
Telephone+41 44 633 24 64
DepartmentCivil, Environmental and Geomatic Engineering

103-0377-10LBasics of RE&IS Restricted registration - show details 2 credits2GB. T. Adey, K. W. Axhausen, M. J. Van Strien
AbstractEvery 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.
ObjectiveThe 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 three components covering the following topics:
- Learning the basics of the statistical software R
- Project management
- Important aspects of sound scientific conduct and practice.
ContentThe first five 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 of the course, students will learn the basics of project management. The main topics will be the organisation of the people involved in the project, the establishment and structuring of the contents, establishing a schedule, estimating the needs for resources and financing, setting up a plan to control the progress of the project and conducting a risk analysis. The students are expected to work on a small project for the five weeks where each subject matter will be addressed.

The final four weeks will discuss further issues, especially related to scientific conduct, such as plagiarism or citation.
Lecture notesA 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.