Cards (19)

  • Applied Computer Science in Psychology and Cognitive Sciences
  • Perspectives on the course
    • What I think about this course
    • What students think about this course
    • What my colleagues think about this course
    • What students actually learn at this course
  • Themes covered in the course
    • Human Information Processing
    • Computers in Human-Computer Interaction – Wearable and mobile information devices
    • Virtual Technology in Treating Disorders
    • Augmented Technology in New Treatment Procedures
    • Research Methods in Cyberpsychology
    • Advanced Methods in Data Collection
    • Social Networks and Social Media – digital footprints
    • Personality and Internet Use
    • Uses and Gratifications of Social Media
    • Artificial Intelligence - Applications
    • Machine Learning in Psychology
    • Multimedia User Design Interface
    • Online and Virtual Therapy Software and Web Applications
  • Special guest? TBD
  • Course objectives
    • Consulting services in app and software development
    • Psychological knowledge can be very helpful in computer science as a tool for improving communication between people and modern information systems
    • Psychological optimization in computer systems
  • Potential careers
    • Artificial intelligence developer
    • Brain-machine interface designer
    • Cognitive neuroscience researcher
    • Data scientist
    • Health technologist
    • Human-computer interaction designer
    • Psychoinformatics
  • Relevant experience
    • Psychological assessment
    • Programming language (e.g., R, Python)
  • Project - app/web-based design (in teams)
    • Generate an idea of an app/web-based platform
    • Competitive market research
    • Write out the features and design of your app (product design)
    • Describe user experience (how does the app/web-based platform work)
  • Theoretical foundation (e.g., the social support theory – emotional support reduces the likelihood of delinquency and crime)
  • E.g., Chatbot for depression assessment; EMA for moods and affective states
  • Add in target population
  • Do not forget to cite any source of information used
  • Your project may be linked to devices (e.g., gadgets)
  • Resources
    • App diagrams: https://app.diagrams.net/
    • Scientific articles: https://www.e-nformation.ro/
    • https://www.researcher-app.com/
  • Social Network Analysis (SNA)

    A research method used to study the structure and characteristics of social networks, focusing on the relationships between individuals or groups and how these relationships affect behavior, attitudes, and outcomes. Examples of SNA measures include centrality, clustering coefficient, network density, reciprocity, and homophily.
  • Ecological Momentary Assessment (EMA)

    A research method used to assess participants' current experiences, behaviors, and contexts in real time or near real time, typically involving repeated sampling of individuals' experiences, thoughts, and feelings in their natural environments as they go about their daily lives.
  • Topics commonly covered in "Applied Computer Science in Psychology and Cognitive Sciences"

    • Introduction to computer science and programming concepts
    • Data structures and algorithms
    • Statistics and data analysis for psychology and cognitive sciences
    • Machine learning and artificial intelligence techniques for psychology and cognitive sciences
    • Neural networks and deep learning for psychology and cognitive sciences
    • Signal processing and analysis for brain signals and behavioral data
    • Cognitive modeling and simulation using computational tools
    • Virtual reality and augmented reality in psychology and cognitive sciences
    • Natural language processing and sentiment analysis for text data in psychology and cognitive sciences
    • Human-computer interaction and user experience design in psychology and cognitive sciences
  • The specific content of the course may vary depending on the institution and the instructor teaching the course
  • The course aims to provide students with the computational skills and tools necessary to conduct research and solve problems in psychology and cognitive sciences using computer science techniques