Theory and methodology of science

Computational research version

The computational research version of the course has a special focus on philosophical and methodological issues arising in sciences which depend heavily on models and simulations.

Course code: AK2030

Aim

The aim of the course is to provide a deeper understanding of the methodological and underlying philosophical issues that arise in science, in particular the computational sciences, and inspire to reflection on such issues within the student’s own area of study. After having taken the course the student should have acquired basic knowledge of the foundational issues in the methodology and philosophy of science, specially as regards the natural, technological and computational sciences.

Syllabus

The course introduces key concepts in the philosophy and methodology of science such as knowledge, truth, belief, subjectivity, intersubjectivity and objectivity, causality vs. covariation, scientific explanation, the nature and epistemology of models and simulation, the path from science to policy, hypothesis testing, verifying and falsifying hypotheses, research ethics.

Prerequisites

This is a course for masters students who have previously obtained a basic degree.

Requirements

Active participation. Take-home test, written exam.

Further information

Extended course description (PDF format)

Coordinators: John Cantwell (790 92 08, cantwell[at]infra.kth.se), Peter Modin (790 90 56, modin[at]kth.se)