psy260 Practical Project (Vollständige Modulbeschreibung)
| Modulbezeichnung | Practical Project | ||||||||||||
| Modulkürzel | psy260 | ||||||||||||
| Kreditpunkte | 9,0 KP | ||||||||||||
| Verantwortliche Einrichtung | Department für Psychologie | ||||||||||||
| Zuständige Personen |
Modulverantwortung:
Stefan Debener, Christoph Siegfried Herrmann, Andrea Hildebrandt, Jochem Rieger, Mandy Roheger
Prüfungsberechtigt:
Martin Georg Bleichner, Andreas Hellmann, Jochem Rieger, Andrea Hildebrandt, Stefan Debener, Christoph Siegfried Herrmann, Carsten Gießing, Helmut Hildebrandt, Cornelia Kranczioch-Debener, Jale Nur Özyurt, Sebastian Puschmann, Heiko Stecher, Christiane Margarete Thiel, Mandy Roheger, Manuela Jäger, Sreekari Vogeti, Franziska Kiene, Mareike Daeglau, Rachana Mahadevan, Daniel Kristanto, Amirhussein Abdolalizadeh Saleh, Cassie Ann Short, Melanie Klapprott, Leonardo Zaggia, Micha Jannis Burkhardt, Seonghun Park, Velu Prabhakar Kumaravel, Anja Lindig, Arnd Meiser, Andreas Spiegler, Johannes Stalter, Abin Jacob, Mira Vasileva, Cindy Boetzel, Jorge Francisco Bosch Bayard, Karel Mauricio López Vilaret, Julius Welzel, Pascale Sandmann, Oliver Bruton, Sana Hassan Imam, Eva Postuma, Sarah Stubenrauch, Cristiano Costa
Modulberatung:
Heiko Stecher
Weitere verantwortliche Personen:
Upon approval by the examination committee other staff members (e.g. PhD students in the laboratories of the Department of Psychology) can act as examiners for psy260. |
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| Teilnahmevoraussetzungen |
Enrolment in Master's programme Neurocognitive Psychology. |
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| Empfohlene Vorkenntnisse | PLEASE NOTE: Knowledge of either EEG, fMRI, TBS, or MEG data analysis, or knowledge of HCI or ambulatory assessment methods is essential for most projects offered in the Department of Psychology. We strongly recommend to take either psy170: Neurophysiology, psy270: fMRI Data Analysis, psy280: Transcranial Brain Stimulation, psy220: Human Computer Interaction, or psy290: Ambulatory Assessment prior to the practical project. It is expected that students have basic knowledge of Matlab programming before starting the practical project. This is proven by having passed the exam in Computation in Neuroscience. |
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| Unterrichtssprache | Englisch | ||||||||||||
| Lernergebnisse/Kompetenzen |
Goals of module: Students are able to critically review the scientific literature and current state of knowledge concerning a certain topic in the field of cognitive neuroscience or neuropsychology. Based on this, they are able to develop a specific research question and to design an adequate experiment, acquire data and conduct appropriate statistical analyses, building on previously gained competencies in relevant research methods, computer programming and statistical methods. They know how to critically discuss the results of their study in context of the current literature and how to present their findings at a scientific poster symposium.
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| Modulinhalte |
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| Literaturempfehlungen | |||||||||||||
| Zu erbringende Leistungen |
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| Dauer in Semestern | 1 Semester | ||||||||||||
| Angebotsrhythmus | The module will be offered every winter term. | ||||||||||||
| Workload |
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| Lehrveranstaltungsform |
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| Zusätzliche Hinweise | Topics for projects will be presented in a colloquium at the end of the summer term. Aufnahmekapazität: Lehr-/Lernform: |
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| Verwendbarkeit des Moduls |
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| Modulart | Pflicht / Mandatory | ||||||||||||
| Modullevel | MM (Mastermodul / Master module) |