Programme Overview

Content

The course is divided into a compulsory component, an elective module (you choose one out of two modules), and elective elements (you choose two out of four elements). At the beginning of the course, our First Year Tutor will help you figure out how to choose the elective parts of the course.

Compulsory component

Introduction to the work of cognitive sciences (discipline overview, levels of explanation in cognitive sciences), interdisciplinarity in cognitive sciences, literature and its use in different disciplines within cognitive sciences.

Elective modules

Introduction to empirical cognitive sciences: Introductory statistical methods, introduction to empirical research methods.

Introduction to the philosophy of cognitive sciences: Foundations of philosophy of cognitive sciences, introduction to philosophical research methods, introduction to philosophy of science.

Elective elements

Cognitive Psychology: Introduction to perception and attention, learning and memory, language: understanding, production and categorization, judgement and reasoning.

Neuropsychology and Cognition: Introduction to the structure and functions of the nervous system, brain, and behaviour: neural mechanisms of emotions, learning, memory, language and consciousness, neurocognitive networks and connectome.

Comparative Cognition: Introduction to theories in comparative cognition, methodological approaches, main research areas and questions, concepts and issues.

Critical history of cognitive science and its methods: Introduction to the debates that marked the development of cognitive sciences, cognitive sciences and the cultural context of the late 20th century.

Objectives

This is an intensive, introductory course that runs over the first 6 weeks in semester 1. The course has three objectives: i) to introduce you to the work in cognitive sciences, ii) to enable you to complement your knowledge from your undergraduate training, and iii) to introduce you to the different ways of learning and teaching involved in the Masters programme.

Content

Interdisciplinarity vs. multidisciplinarity in cognitive sciences, numerical cognition, visual cognition, judgement and reasoning, rationality, individual differences in cognition, metacognition, consciousness, Theory of Mind, perception and social cognition.

Objectives

You will gain knowledge of selected topics from cognitive sciences from a disciplinary and interdisciplinary perspective. In addition to interactive lectures, we will have interdisciplinary moderated discussion groups. For some of these, your lecturers will select the literature, for others you will be able to select topics and papers of your interest. In addition, we will have invited lecturers for specific topics.

Content

Theories and models in cognitive science, experimental designs, non-experimental designs, measurement theories, neuroscience methods, programming cognitive experiments, online testing, Open Science tools for planning and designing empirical research.

Objectives

The aim of the course is to prepare and train you for (independent) research in cognitive sciences by working through different theoretical approaches in the study of the mind and methods of model construction and the diversity of methodological approaches and methods in cognitive sciences. In specialized workshops, you will be able to practice integrating the acquired knowledge.

Content

Introduction to R, modelling continuous data (linear models with 1 and 2 parameters, use of categorial predictors, interactions), information curve modelling (polynomial models), modelling of categorical data (logistic regression), modelling continuous data from research with ‘pseudo-replications’ (repeated measures ANOVA, hierarchical linear modelling), modelling the pattern of relationships between multiple variables (mediation, PATH analysis, SEM).

Objectives

The aim of the course is to enable you to work with empirical data and plan and perform statistical analyses. During this course, we will, wherever possible, use open-source software for all data manipulations and analyses to ensure that you can transfer the acquired skills and knowledge to your future work.

Content

Introduction to ethics in philosophy, ethical issues in working with different participant populations, ethical issues in research methods and data analysis, data management and sharing, General Data Protection Regulation (GDPR), dissemination of results, use of results of empirical research to create public policy, use and misuse of empirical research results: historical and contemporary perspectives, ethical issues in the scientific community, visibility of minority researchers and their work, diversity in the research community, scientific colonialism.

Objectives

We will work through ethical questions in cognitive sciences research and discuss situations and components that you are likely to encounter in your future research career.

Content

The specific content of the rotation project will be determined by the different topics and research questions offered in a particular year.

Each term, we will organise workshops that will help you with specific aspects of planning and designing research (e.g., registrations, data management, meta-analyses).

Objectives

The aim of this course is to recognise the importance of early stages of research projects. To this end, you will choose one of the offered topics and will, independently and with your supervisor, plan and design a study. For empirical projects, this includes planning statistical analyses and may include piloting the procedure, but does not include main data collection.

At the same time, rotation projects offer you the opportunity to learn about the different research topics and interests of the researchers involved in the study programme, to try out a project that may be in a different subdiscipline of cognitive sciences than the one you have been trained in, and to test out different research areas and topics before you choose your Masters thesis project.

Content

Every two weeks, we will meet to discuss a paper that has been chosen by a student, who will also briefly present it at the start of the discussion.

Objectives

This course will introduce you to the style of seminars known as journal clubs, whose primary purpose is to present and discuss current literature.

Content

Science communication, citizen/community science, science communication tools, social media, digital presentation tools, multimedia, self-assessment of presentation and project, project management.

Objectives

You will develop skills in science writing and reviewing, as well as general science communication skills and learn how to adapt content and methods of communication to different audiences.

Content

Academia and industry, CVs, transferrable skills, social networks, Research and Development, Data Science.

Objectives

You will familiarise yourself with different professional developmental tools, and work on developing tools for your own future career. This course will involve an industry day with our industry partners.