Research Methods: AI-based Data Synthesis & Analysis D
Aalto University
<p>This course represents one of the possible specialisations following the basic research methods teaching in CS-E5010 Research Methods: Foundations D. The goal is to equip students with the knowledge, skills and critical thinking to use AI (e.g. foundation models, reinforcement learning) for data synthesis (e.g. interview data, behaviour data) and analysis (e.g. automated coding). Use cases comprise, amongst others, the automation of empirical research (e.g. automated playtesting), preparation of research studies (e.g. survey development), or estimation of user characteristics and behaviours in online settings (e.g. adaptive user interfaces, procedural content generation).</p><p>The needs and interests of students from different majors and programmes (e.g. Information Networks, Software Engineering, Game Design and Development) will be met based on a diverse set of research examples and custom-tailored learning and exercise materials. </p><p>Alternatives to this specialisation course:</p><ul><li>Research Methods: Case studies & Design Science (CS-E5011).</li></ul><p>One specialisation cannot necessarily substitute another as degree requirement, and students are consequently encouraged to check their desired course choice against the requirements of their respective major. The same holds if students wish to take multiple specialisation courses, and wonder whether the additional credits can be counted toward their study progress.</p>
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