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Einrichtungen >> Fakultät Humanwissenschaften >> Institut für Psychologie >>
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Lehrstuhl für Allgemeine Psychologie und Methodenlehre
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Bayesian Statistics for Masters [Bayesian Stats] -
- Dozent/in:
- Alexander Pastukhov
- Angaben:
- Seminar, 2 SWS, ECTS: 3
- Termine:
- Mi, 12:00 - 14:00, M3N/-1.19
- Voraussetzungen / Organisatorisches:
- Some Bachelor level knowledge R is beneficial, but no prior knowledge beyond high school algebra is required. For Ba / Ma Psychology only!
- Inhalt:
- The purpose of this seminar, is to build your intuition and understanding of (Bayesian) statistics from ground up, starting with a concept of probability as counting, continuing to simple linear models and advancing to more complicated multilevel linear models. The linear models that we study underpin all classic statistical test: t-test, ANOVA, rm ANOVA, ANCOVA, MANOVA, Pearson correlation, etc. You will learn about their simple common structure, understand how to design such models by hand (much simpler than you think), and, most importantly how to interpret and evaluate these models (much harder than you think) using causal calculus tools and information criteria.
Learning Goals: In this seminar, you will learn how to build a statistical model from the ground up with the goal of being able to build a customized model for any statistical problem and analysis. After this course you will understand that a linear regression, a T-test, an ANOVA, or an ANOCOVA all refer to the same simple linear model that you can build yourself. The aim is to make sure that you will know exactly what your analysis does and why you are doing it in this way.
Course Method: This seminar assumes no prior knowledge on your part. We will start with a basic concept of probability-as-counting and proceed to understanding what statistical models are and how to build them. Over the course of the seminar, we will gradually move forward to more advanced topics learning how to identify spurious associations, infer causality, evaluate models, or perform power analysis. Forming a book club we will read "Statistical Rethinking" by Richard McElrath. It is an excellent introductory statistics book that explain even most intimidating topics very clearly, links all seemingly discrepant topics together, and has plenty of examples in R. We will read one chapter every week, practice build models, and discuss the topics and questions during the seminar.
- Empfohlene Literatur:
- "Statistical Rethinking: A Bayesian Course with Examples in R and Stan" by Richard McElreath https://www.oreilly.com/library/view/statistical-rethinking/9781482253481/
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Better Humans in the Making: The Psychological Aspects of Human Enhancement [HE24] -
- Dozent/in:
- Niklas Döbler
- Angaben:
- Seminar, 2 SWS
- Termine:
- Di, 12:00 - 14:00, M3/02.10
Einzeltermin am 29.4.2024, 14:00 - 16:00, M3N/03.28
- Inhalt:
- Who wants to live forever? It seems like there are, at least, who would raise up to Freddie Mercury s question. Proponents of transhumanism fiercely advocate for the widespread utilization of biotechnology to improve the human condition, including the individual biological set date of expiration.
Using a selection of texts, this class will explore the debate behind this so-called Human Enhancement. Together, we will review empirical studies and theoretical accounts of general attitudes, trapdoors, unexpected implications, and passionate debates.
Every week, participants will read texts, reflect on their content, and share their insights and open questions with the class. There will be no(!) student-held talks, only class and small group discussions. The required certificate of achievement will be a written reflection of the class s content.
Example of topics:
Debating Transhumanism
Dehumanization
Identity effects
Cognitive enhancement
Normative expectations
Language will be English.
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Decision making: emotions, formal logic, and games -
- Dozent/in:
- Alexander Pastukhov
- Angaben:
- Seminar
- Termine:
- Do, 10:00 - 12:00, MG2/02.04
- Inhalt:
- How do we make our decisions? How do animals make theirs? What can we learn from them and what is unique to us?
The course covers broad range of topics that introduce the emotional and analytical decision making systems and their interaction in your daily experience. We start with the low level perceptual decision making (signal detection theory, sequential analysis framework, race models) that despite their simplicity are ubiquitous and appear to underpin decision making at all levels starting from simple perceptual decision (is this car moving in my direction?) to high level ones (should I take that job?). We then continue to gambling to understand how we make decision under high uncertainty. Next, we will cover the topic of emotional decision making and it influences us (e.g., how marketing sways your purchasing decisions). Then comes the game theory to understand how do you make the decision, if you know that its outcome depends on decision of others, who are trying to second guess you (in the process, you will learn why ducks are optional decision makers). We will look into the free will and see whether and how can you be sure that you made the decision and moral judgements in humans and animals.
The course is taught in English, which will allow you build vocabulary on the topic.
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Game theory, emotions, and formal logic in decision making, masters -
- Dozent/in:
- Alexander Pastukhov
- Angaben:
- Seminar
- Termine:
- Mi, 10:00 - 12:00, MG2/00.09
- Inhalt:
- How do we make our decisions? How do animals make theirs? What can we learn from them and what is unique to us?
The course covers broad range of topics that introduce the emotional and analytical decision making systems and their interaction in your daily experience. We start with the low level perceptual decision making (signal detection theory, sequential analysis framework, race models) that despite their simplicity are ubiquitous and appear to underpin decision making at all levels starting from simple perceptual decision (is this car moving in my direction?) to high level ones (should I take that job?). We then continue to gambling to understand how we make decision under high uncertainty. Next, we will cover the topic of emotional decision making and it influences us (e.g., how marketing sways your purchasing decisions). Then comes the game theory to understand how do you make the decision, if you know that its outcome depends on decision of others, who are trying to second guess you (in the process, you will learn why ducks are optional decision makers). We will look into the free will and see whether and how can you be sure that you made the decision and moral judgements in humans and animals.
The course is taught in English, which will allow you build vocabulary on the topic.
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Introduction to Bayesian Statistics [Statistical Rethinking] -
- Dozent/in:
- Alexander Pastukhov
- Angaben:
- Seminar, 2 SWS, ECTS: 3
- Termine:
- Do, 12:00 - 14:00, MG2/01.09
- Voraussetzungen / Organisatorisches:
- Some Bachelor level knowledge R is beneficial, but no prior knowledge beyond high school algebra is required.
For Ba / Ma Psychology only!
- Inhalt:
- The purpose of this seminar, is to build your intuition and understanding of (Bayesian) statistics from ground up, starting with a concept of probability as counting, continuing to simple linear models and advancing to more complicated multilevel linear models. The linear models that we study underpin all classic statistical test: t-test, ANOVA, rm ANOVA, ANCOVA, MANOVA, Pearson correlation, etc. You will learn about their simple common structure, understand how to design such models by hand (much simpler than you think), and, most importantly how to interpret and evaluate these models (much harder than you think) using causal calculus tools and information criteria.
Learning Goals:
In this seminar, you will learn how to build a statistical model from the ground up with the goal of being able to build a customized model for any statistical problem and analysis. After this course you will understand that a linear regression, a T-test, an ANOVA, or an ANOCOVA all refer to the same simple linear model that you can build yourself. The aim is to make sure that you will know exactly what your analysis does and why you are doing it in this way.
Course Method:
This seminar assumes no prior knowledge on your part. We will start with a basic concept of probability-as-counting and proceed to understanding what statistical models are and how to build them. Over the course of the seminar, we will gradually move forward to more advanced topics learning how to identify spurious associations, infer causality, evaluate models, or perform power analysis. Forming a book club we will read "Statistical Rethinking" by Richard McElrath. It is an excellent introductory statistics book that explain even most intimidating topics very clearly, links all seemingly discrepant topics together, and has plenty of examples in R. We will read one chapter every week, practice build models, and discuss the topics and questions during the seminar.
- Empfohlene Literatur:
- "Statistical Rethinking: A Bayesian Course with Examples in R and Stan"
by Richard McElreath
https://www.oreilly.com/library/view/statistical-rethinking/9781482253481/
- Schlagwörter:
- statistics, bayesian statistics
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Neuroscience of Consciousness -
- Dozent/in:
- Alexander Pastukhov
- Angaben:
- Seminar, 2 SWS, ECTS: 3
- Termine:
- Do, 8:00 - 10:00, M3N/03.29
- Inhalt:
- What is consciousness and how can we study it? The purpose for this seminar is to show why answering the first question is hard (actually, impossible at the moment) and how nonetheless we can build understanding of consciousness by examining the brain. We will start by looking at questions that philosophers raised (What is like to be a bat? Are you a philosophical zombie? Who is inside the Chinese room? What is a thought about a thought called?). Next we will look for missing consciousness in clinical cases (When are you actually dead and how can we know it? Can you see without primary visual cortex? When your arm is not your arm anymore? How many personalities can you squeeze into two hemispheres?), unconscious processing (Why cannot you see the flicker, if your primary visual cortex can? Can you pay attention to an invisible target?), free will (How do you know you did it? Why do you feel responsible, if you favorite team wins or loses?), false memory (Are you sure this happened to you at all?), and consciousness in animals (Again, what is it like to be a bat? Can animals read others minds?)
The course is taught in English, which will allow you build vocabulary on the topic.
- Empfohlene Literatur:
- "Consciousness : an introduction" by Susan Blackmore
https://katalog.ub.uni-bamberg.de/query/BV042668728
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Praxis der Fragebogenkonstruktion (vhb) [Fragebogen] -
- Dozent/in:
- Uwe C. Fischer
- Angaben:
- Seminar, 2 SWS, ECTS: 3, Online-Seminar über vhb vermittelt
- Termine:
- Zeit n.V., Online-Webinar
Online-Webinar
- Voraussetzungen / Organisatorisches:
- Dieser Kurs ist ein Angebot der Virtuellen Hochschule Bayern (vhb) und der Universität Bamberg. Um ihn zu belegen, registrieren Sie sich bitte bei der vhb (http://www.vhb.org), die allen Studierenden in Bayern kostenfrei offen steht. Sobald Sie sich dort registriert haben, können Sie den Kurs (in der Rubrik "Schlüsselqualifikationen") belegen.
Nach dieser Kursanmeldung erhalten Sie innerhalb weniger Tage eine Begrüßungsmail mit den Zugangsdaten und weiteren Informationen. Wenn Sie auch mehrere Werktage nach den Anmeldung noch nichts erhalten haben, kontrollieren Sie bitte Ihren Spam-Ordner.
Studierende, die nicht an der Uni Bamberg immatrikuliert sind, müssen sich zur Nutzung noch an dieser Lernplattform (Virtueller Campus, das moodle der Uni Bamberg) einmalig registrieren.
Seminarleistung: a) unbenoteter Teilnahmeschein (erfolgreiche Teilnahme): bestandener Wissenstest der bis ca. ein Monat vor Ende des Semesters eingereicht werden muss b) benoteter Schein: bestandener Wissenstest & eigenständig erstellter Online-Fragebogen, der benotet wird (Näheres dazu im VC).
Bitte beachten Sie die Anmeldefristen der vhb und der Uni Bamberg;
Kursanmeldung: 15.03.2024 00:00 Uhr bis 31.05.2024 23:59 Uhr
Kursabmeldung: 15.03.2024 00:00 Uhr bis 31.05.2024 23:59 Uhr
Kursbearbeitung / Kurslaufzeit: durchgehend (01.04. bis 15.09.)
An-/Abmeldung zur dezentralen Prüfung: s. Angaben des Prüfungsamtes der Uni Bamberg
- Inhalt:
- Dieser Kurs will die Grundlagen vermitteln, um einen (nach wissenschaftlichen Kriterien) guten Fragebogen zu erstellen und damit verlässliche Daten zu erheben. Themen sind dabei nicht nur die Erstellung selbst, also wie formuliere ich Fragen und wie gestalte ich einen Fragebogen, sondern auch Aspekte des Datenschutzes, Grundlagen der Statistik und der Auswertung sowie die Erstellung eines Online-Fragebogens.
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Scientific Studies of Consciousness, Masters level -
- Dozent/in:
- Alexander Pastukhov
- Angaben:
- Vorlesung, 2 SWS, ECTS: 3
- Termine:
- Mi, 8:00 - 10:00, M3N/-1.19
- Inhalt:
- What is consciousness and how can we study it? The purpose for this seminar is to show why answering the first question is hard (actually, impossible at the moment) and how nonetheless we can build understanding of consciousness by examining the brain. We will start by looking at questions that philosophers raised (What is like to be a bat? Are you a philosophical zombie? Who is inside the Chinese room? What is a thought about a thought called?). Next we will look for missing consciousness in clinical cases (When are you actually dead and how can we know it? Can you see without primary visual cortex? When your arm is not your arm anymore? How many personalities can you squeeze into two hemispheres?), unconscious processing (Why cannot you see the flicker, if your primary visual cortex can? Can you pay attention to an invisible target?), free will (How do you know you did it? Why do you feel responsible, if you favorite team wins or loses?), false memory (Are you sure this happened to you at all?), and consciousness in animals (Again, what is it like to be a bat? Can animals read others minds?)
The course is taught in English, which will allow you build vocabulary on the topic.
- Empfohlene Literatur:
- "Consciousness : an introduction" by Susan Blackmore
https://katalog.ub.uni-bamberg.de/query/BV042668728
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Statistik II Seminar B (JASP) -
- Dozent/in:
- Uwe C. Fischer
- Angaben:
- Seminar, 2 SWS, Schein, ECTS: 3
- Termine:
- Di, 14:15 - 16:00, MG2/00.09
Einzeltermin am 11.6.2024, 14:15 - 16:00, M3N/-1.19
Einzeltermin am 9.7.2024, 12:30 - 14:00, MG2/01.09
- Voraussetzungen / Organisatorisches:
- Kenntnisse in Statistik I;
zulassungsbeschränkt für BSc Psychologie;
Das Seminar ist mit dem Besuch der Vorlesung "Statistik II" verknüpft.
Bitte berücksichtigen Sie unbedingt auch die Angaben und Voraussetzungen im zugehörigen Modulhandbuch
- Inhalt:
- Vertiefung und Anwendung der Inhalte aus der Vorlesung; Anwendungen u.a. mit JASP als Schwerpunkt.
- Empfohlene Literatur:
- Eid, Gollwitzer, & Schmitt (2017). Statistik und Forschungsmethoden. Weinheim: Beltz.
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vhb-Kurs: Komplexität I: Strategisches Denken und das Lösen komplexer Probleme [CPS I] -
- Dozent/in:
- Niklas Döbler
- Angaben:
- Seminar, 2 SWS, ECTS: 3
- Termine:
- Zeit n.V., Online-Webinar
- Voraussetzungen / Organisatorisches:
- Bitte berücksichtigen Sie unbedingt auch die Angaben und Voraussetzungen im zugehörigen Modulhandbuch und im Kursprogramm der vhb!
Kurs der Virtuellen Hochschule Bayern (vhb).
Bamberger Studierende: Sie können diese Veranstaltung im Rahmen des BA-Studiums Psychologie im Modul "Allgemeine I" ODER im Modul "Angewandte Kognitionspsychologie" belegen ODER im Wahlpflichtmodul „Denken und Handeln in komplexen Situationen“
Weitere Informationen finden Sie auf den Seiten der vhb unter der URL https://kurse.vhb.org/VHBPORTAL/kursprogramm/kursprogramm.jsp?kDetail=true
Nachfragen bitte an: vhb-cps1.allgpsych@uni-bamberg.de
- Inhalt:
- Der Umgang mit Problemen unterschiedlicher Komplexität ist eine alltägliche Herausforderung an das menschliche Denken und Handeln. Je größer dabei der Wirkungskreis eines Problems, desto wichtiger wird eine kompetente Problemlösung: Situationen müssen richtig eingeschätzt, Entscheidungen getroffen, Maßnahmen in die Wege geleitet werden. Charakteristische "Denkfehler" treten hier immer wieder auf, wie etwa die Tendenz, Neben- und Fernwirkungen nicht in ausreichendem Maße zu beachten, die Bedingungen für Handlungen außer Acht zu lassen, Erfolgswahrscheinlichkeiten über- oder unterzuschätzen, in "Methodismus" zu verfallen.
- Empfohlene Literatur:
- Dörner, D. (2017). Die Logik des Misslingens. Strategisches Denken in komplexen Situationen (14. Aufl.). rororo.
Funke, J. (2003). Problemlösendes Denken (1. Aufl.). Kohlhammer.
- Schlagwörter:
- vhb
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Warum will ET nach Hause? [ET24] -
- Dozent/in:
- Niklas Döbler
- Angaben:
- Seminar, 2 SWS
- Termine:
- Mo, 12:00 - 14:00, M3N/03.28
- Inhalt:
- Seitdem die Menschheit die Sterne beobachten kann, fragt sie sich: Sind wir allein?
Doch erst seit den 1960er Jahren gibt es die systematische „Search for Extraterrestrial Intelligence“ (SETI) Forschung. Doch obwohl wir inzwischen wissen, dass es da draußen bewohnbare Planeten gibt, haben wir noch kein Zeichen außerirdischen Lebens gefunden. Liegt das vielleicht daran, dass wir falsch suchen? Sind unsere Vorstellungen von Außerirdischen verzerrt? Wie denken sie überhaupt? Und haben sie wirklich spitze Ohren?
Der Beantwortung dieser Fragen hat sich die Exopsychologie, als diejenige Disziplin der Psychologie, die sich mit dem Erleben und Verhalten von extraterrestrischen Agenten und der humanspezifischen Repräsentanz dieser beschäftigt, verschrieben. Zusammen wollen wir in dieses neue und aufregende Gebiet der Psychologie eintauchen und seine Grenzen und Möglichkeiten diskutieren. Dabei werden insbesondere folgende Themen besprochen:
• Repräsentanz von extraterrestrischen Agenten
• Popkulturelle Rezeption
• Kognitionen und Intelligenz
• Der menschliche Platz im Universum
• SETI-Forschung und Kritik
• Grenzen der interstellaren Kommunikation
• Kontaktszenarien
• Grundlagen der Astrobiologie und -physik
• Möglichkeit und Wahrscheinlichkeit von außerirdischen Leben
• Exopsychologischer Erfahrungsgewinn
Vorwissen zu diesen Themen ist nicht erforderlich. Jede Sitzung wird durch die Studierenden und den Dozenten gemeinsam gestaltet. Die Seminarleistung ist in Form eines 30-45 minütigen Referats zu erbringen, der Rest der Zeit ist für die Diskussion des Sitzungsthemas eingeplant.
Ziel dieser Lehrveranstaltung ist nicht nur die bloße Wissensvermittlung, sondern der gemeinsame Austausch über ein Randgebiet der Psychologie, sowie das Menschsein an sich. Eigene Ideen zur Seminargestaltung können gerne eingebracht werden.
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