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Versione stampabileManifesto degli studi
Il Manifesto degli Studi viene redatto annualmente e contiene le informazioni relative all’offerta didattica e le altre attività formative del Corso di dottorato.
L’offerta didattica si articola in brevi corsi intensivi le cui lezioni si tengono in lingua inglese e prevedono la partecipazione attiva dello/della studente/studentessa. I corsi si distinguono in generali e specifici per area di ricerca. I primi sono volti a fornire e consolidare conoscenze inerenti le basi teoriche ed epistemologiche delle scienze cognitive; l’etica e le buone pratiche della ricerca; la metodologia e la statistica; la comunicazione della ricerca; la didattica e la divulgazione scientifica; le capacità di finanziamento e sviluppo di carriera. I corsi specifici concernono approfondimenti teorici e metodologici relativi ad un ambito di ricerca e sono differenziati a seconda degli interessi dei dottorandi.
Per informazioni sull’articolazione nei tre anni dell’offerta didattica e delle altre attività formative, si consulti il “Manifesto degli studi”.
Corso di Dottorato in Psicologia e Scienze Cognitive
Academic Writing for Science and Engineering (PDF | 132 KB)- Advanced Data Analysis with R (PDF | 83 KB)
- Communicating your Research (Poster/Talks) (PDF | 77 KB)
- EEG Data Analysis for Psychology Research Across the Lifespan (PDF | 100 KB)
- Epistemology of Cognitive Science (PDF | 84 KB)
- Ethics of Research in Psychology and Cognitive Science (PDF | 74 KB)
- General Principles of Open Science (PDF | 104 KB)
- How to publish in and write for international journals (PDF | 105 KB)
- Introduction to Structural Equation Modeling (PDF | 173 KB)
- Machine learning with Python (PDF | 74 KB)
- Mixed methods design (PDF | 65 KB)
- ReproducibiliTEA: Open Discussion about OPEN Science (PDF | 89 KB)
- Research in psychology: An overview of questionable and best practices (PDF | 80 KB)
- Strategies and tools to plan Academic Teaching (PDF | 79 KB)
- Academic Writing for the Sciences and Engineering (PDF | 132 KB)
- Advanced Data Analysis with R (PDF | 59 KB)
- Communicating your research (Poster/Talks) (PDF | 77 KB)
- EEG analysis in cognitive science: From ERPs to neural oscillations (PDF | 101 KB)
- Epistemology of Cognitive Science (PDF | 71 KB)
- Ethics of Research in Psychology and Cognitive Science (PDF | 74 KB)
- Introduction to data visualization with R (ggplot) (PDF | 113 KB)
- Introduction to Structural Equation Modeling (PDF | 98 KB)
- Machine learning with Python (PDF | 61 KB)
- Mixed methods design (PDF | 79 KB)
- How to publish in and write for international journals (PDF | 87 KB)
- ReproducibiliTEA (PDF | 77 KB)
- Research Design and Data Management (PDF | 90 KB)
- Research in psychology: An overview of questionable and best practices (PDF | 80 KB)
- Strategies and tools to plan Academic Teaching (PDF | 63 KB)
- Cultural Psychology: Principles, Methods, and Applications (PDF | 449 KB)
- Data Analysis with R (PDF | 46 KB)
- Developmental and clinical studies: meta-analysis in R (PDF | 82 KB)
- EEG Data Analysis for Psychology Research (PDF | 49 KB)
- Epistemology of Cognitive Science (PDF | 56 KB)
- Ethics of Research in Research and Cognitive Science (PDF | 46 KB)
- Introduction to Structural Equation Modeling (PDF | 82 KB)
- Machine learning with Python (PDF | 47 KB)
- Mediation models and simple size calculation (PDF | 181 KB)
- Mixed methods design (PDF | 51 KB)
- ReproducibiliTEA: open discussion about OPEN Science (PDF | 50 KB)
- Research in psychology: an overview of questionable and best practices (PDF | 51 KB)
- Strategies and tools to plan Academic Teaching (PDF | 49 KB)