• Home
  • Talks
  • Writing
  • Projects
  • Teaching
  • CV
  • Stelios Votsis
  • Logic Calculator
  • Contact
  • Teaching
    Teaching Material
    Over the years, I had the opportunity to teach a number of courses at various institutions (University of Bristol, Heinrich-Heine Universitaet Duesseldorf, New College of the Humanities and London School of Economics). Here I make available some related teaching materials, namely slides and syllabuses, in the hope that students or colleagues may find them useful.


    Epistemology:

    Syllabus - click here

    Lecture 1 - Foundationalism and Coherentism
    Lecture 2 - Ways of Knowing (Perception)
    Lecture 3 - Ways of Knowing (Testimony)
    Lecture 4 - Knowledge Analysis (Inferences and Defeaters)
    Lecture 5 - Knowledge Analysis (Causes and Reliability)
    Lecture 6 - Knowledge Analysis (Tracking the Truth)
    Lecture 7 - Internalism Vs. Externalism
    Lecture 8 - Scepticism
    Lecture 9 - Naturalism
    Lecture 10 - Contextualism


    Philosophy of Science:

    Syllabus - click here

    Lecture 1 - Theory and Observation
    Lecture 2 - Induction and its Problems
    Lecture 3 - Confirmation: Hypothetico-Deductivism
    Lecture 4 - Confirmation: Bayesianism
    Lecture 5 - Scientific Revolutions
    Lecture 6 - The Scientific Realism Debate
    Lecture 7 - Theories of Explanation
    Lecture 8 - Causation
    Lecture 9 - Laws of Nature
    Lecture 10 - Natural Kinds


    Critical Reasoning:

    Course Guide (including Syllabus) - click here

    Lecture 1 - A Typology of Inferences (Part I)
    Lecture 2 - A Typology of Inferences (Part II)
    Lecture 3 - Fallacies in the Media and Beyond
    Lecture 4 - Techniques in Reasoning
    Lecture 5 - Observation and Theory
    Lecture 6 - Induction and Falsification
    Lecture 7 - Scientific Explanation and Confirmation
    Lecture 8 - Thought Experiments
    Lecture 9 - Social Science and the Humanities
    Lecture 10 - Methods in Psychology
    Lecture 11 - Evidential Standards in Medicine
    Lecture 12 - Data Science (Artificial Intelligence)
    Lecture 13 - Data Science (Coding)


    Logic (Formal and Philosophical):

    Course Guide (including Syllabus) - click here

    Lecture 11 - The Syntax of Propositional Logic
    Lecture 12 - The Semantics of Propositional Logic (Part I)
    Lecture 13 - The Semantics of Propositional Logic (Part II)
    Lecture 14 - Derivations in Propositional Logic (Part I)
    Lecture 15 - Derivations in Propositional Logic (Part II)
    Lecture 16 - The Syntax of Predicate Logic
    Lecture 17 - Formalisation in Predicate Logic
    Lecture 18 - The Semantics of Predicate Logic (Part I)
    Lecture 19 - The Semantics of Predicate Logic (Part II)
    Lecture 20 - Predicate Logic with Identity


    Evidence and Policy:

    Course Guide (including Syllabus) - click here

    Lecture 1 - Evidence-Guided Policy: What is it? Why do we need it?
    Lecture 2 - Public Understanding of Science
    Lecture 3 - Epistemic Autonomy
    Lecture 4 - Evidence and Values
    Lecture 5 - Aggregating Judgment
    Lecture 6 - The Precautionary Principle
    Lecture 7 - Case Study: Medicine
    Lecture 8 - Case Study: Climate Science
    Lecture 9 - Case Study: Politics
    Lecture 10 - Case Study: Economics


    Meta-Metaphysics:

    Syllabus - click here


    Structural Realism:

    Syllabus - click here


    Scientific Realism:

    Syllabus - click here


    The Theory-Ladenness of Observation:

    Syllabus - click here


    Intuitions:

    Syllabus - click here


    The Philosophy of Artificial Intelligence:

    Syllabus - click here


    Evidence:

    Syllabus - click here


    Philosophy of Logic:

    Syllabus - click here