Matlab in Biopsychology and Neuroscience
Dieser Kurs erfolgt auf Englisch.
Die Nachholklausur Matlab in Biopsychology and Neuroscience wurde auf den 10. Juli 2020, 8:00 Uhr festgelegt. Zur Zeit ist vorgesehen, dass die Klausur im Raum MZG 1.116 stattfindet. Bitte beachten Sie die Hinweise zu möglichen kurzfristigen Änderungen auf dieser Seite.
Bitte beachten Sie, dass diese Veranstaltung derzeit als Online-Kurs geplant ist. Die Vorlesungen und Tutorien werden voraussichtlich per Videokonferenz abgehalten. Der auf dieser Seite veröffentlichte Zeitplan ist in Bezug auf die deutsche Zeitzone geplant: Mitteleuropäische Standardzeit (MESZ / UTC+2) und berücksichtigt die Sommerzeit (DST). Bitte beachten sie auch die Hinweise zum Lehr- und Prüfungsbetrieb auf der Homepage der Universität (https://www.uni-goettingen.de/de/622779.html) und sehen Sie von Einzelrückfragen so weit wie möglich ab. Zusätzlich zu den Aktualisierungen auf dieser Seite werden wichtige Benachrichtigungen über StudIP versandt. Bitte stellen Sie sicher, dass Sie dort für diesen Kurs angemeldet sind. Vielen Dank für Ihr Verständnis.
The retake exam Matlab in Biopsychology and Neuroscience is scheduled for July 10, 2020, 8:00 am. At the moment the exam is scheduled to take place in room MZG 1.116. Please note information about possible short-term changes on this page.
Please be aware, that the course is currently being planned as an online course. The lecture and tutorial sessions will likely be held by video conference. The schedule as published on this page is planned with respect to the German timezone: Central European Standard Time (CEST / UTC+2) and takes Daylight Savings Time (DST) into account. Please also note the information on teaching and examinations on the university's homepage (https://www.uni-goettingen.de/en/622779.html) and refrain from individual queries as far as possible. In addition to updates on this page, important notifications will be sent via StudIP. Please ensure that you are registered there for this course. Thank you very much for your understanding.
Matlab is one of the most widely used computer programming languages in research. For psychologists and neuroscientists it is a versatile and increasingly useful tool for controlling advanced experiments and analyzing complex datasets, no matter whether you are interested in programming sensory detection or discrimination stimuli, measuring behavioral reaction times, quantifying movement kinematics (e.g. eye tracking), analyzing electrophysiological time series (e.g. EMG, EEG), developing neural models, conducting statistical tests, or visualizing brain imaging data (e.g. fMRI, MEG), etc.
The course will teach the basics of Matlab and introduce tools that are often used in Psychology and Neuroscience. You will learn the skills needed to understand existing Matlab code and to develop your own Matlab programs.
The course consists of two parts:
- a more theoretically-oriented lecture with practical examples (2h/week),
- a tutorial in which the weekly homework exercises will be discussed (2h/week).
In order to be able to follow the lecture contents throughout the course period, it will be mandatory that the participants invest significant time on the weekly exercises.
Here you can find instructions (German) for how to access the server that will allow you to use the Matlab software.
Note: The course will run for the first half of the semester (see Dates). The course will be followed-up by an associated practical course in Psychophysics (see below).
Who should attend?
Anyone who wants to get a beginners introduction to Matlab.
The course is aimed at:
- 1st-year Masters students in Biology and Psychology,
- PhD students from the GGNB programs,
- Advanced Bachelor students with experience in empirical data collection and analysis (space-permitting).
No prior computer programming experience is needed. Basic skills in statistics, math and data handling are helpful.
Pre-registration [M.Bio.372] – non-GGNB students only
Pre-registration will allow you to attend a preparatory meeting. Details about the course and the companion course Psychophysics (below) will be introduced during this preparatory meeting. Afterwards, you will have an opportunity to confirm your interest in participating in the course.
The number of participants in this course is limited and participation is only guaranteed after you receive a final confirmation of participation following the preparatory meeting.
Note: Registration via the course homepage does not replace FlexNow registration for those who are admitted to the course and who want to participate in the exam and receive credits for the course.
Registration [M.Bio.372] – non-GGNB students only
Participants who are enrolled in the programs MSc DNB, MSc MBB, MSc Psychologie, BSc Biologie, BSc Psychologie and who want to earn ETCS credits towards their master or bachelor program need to first sign up for the course in FlexNow, and then later also register for the exam via FlexNow. Participants of other bachelor or master programs need to get the course approved as a Schlüsselqualifikationsmodul (form available from the Prüfungsamt, signature from lecturer needed) before being able to register via FlexNow.
Participants of non-GGNB PhD programs or students from outside the Georg-August university who want to participate without ETCS credits announce their interest in exam participation to the lecturer by email; you can then receive a certificate (‘Schein’) upon successful exam participation.
Registration for GGNB students [Short Methods Course, UniVZ 340043]
PhD students of all GGNB programs can only be admitted to the course via the GGNB internal registration process. Participation in the exam is not mandatory for earning credits towards the Short Methods Course program, but students are welcome to participate. In this case, please indicate your interest to the lecturer by email.
After this Matlab course, in the second half of the semester, we will offer an associated course at the DPZ, in which you will be able to apply and intensify the learned skills. The course on Psychophysics by Prof. Stefan Treue will provide you with an opportunity to gather hands-on experience in handling and analyzing data that you collected in your own experiments.
Last update: 17.04.2020