PHBL1 Logic I

Faculty of Arts
Autumn 2024
Extent and Intensity
1/1/0. 5 credit(s). Type of Completion: zk (examination).
Taught in person.
Teacher(s)
prof. PhDr. BcA. Jiří Raclavský, Ph.D. (lecturer)
Guaranteed by
prof. PhDr. BcA. Jiří Raclavský, Ph.D.
Department of Philosophy – Faculty of Arts
Supplier department: Department of Philosophy – Faculty of Arts
Prerequisites
No special presuppositions.
Course Enrolment Limitations
The course is only offered to the students of the study fields the course is directly associated with.
fields of study / plans the course is directly associated with
there are 7 fields of study the course is directly associated with, display
Course objectives
Presentation and application of selected knowledge from INFORMAL LOGIC, i.e. some basics of formal logic, statistics and probabilistic theory (Bayes), decision theory, and even linguistics to examples of everyday arguments and inferences, which are often logical (or argumentation) fallacies. The topics of the course are usually covered by labels such as 'informal logic', 'logical propaedeutic', 'critical thinking', 'logical thinking', 'argumentation theory', 'fundamentals of probabilistic and statistic reasoning', 'decision theory' and 'fundamentals of scientific reasoning', and partly even 'formal epistemology', '[formal] philosophy of science', 'formal ethics', cf. Course Contents.
Learning outcomes
(a) Critical thinking - assessment of common and even scientific arguments from the viewpoint of theory covered in the course (see Course Aims and Contents).
(b) Educated production of own arguments for both everyday use and use in philosophy.
(c) Knowledge of problems and basic relevant theory e.g. on the development and application of formal or AI models managing inferences in texts.
Syllabus
  • (1) Arguments and (in)formal logic
  • (2) Logical and argumentation fallacies
  • (3) Reasoning and language issues
  • (4) Inductive and statistic reasoning
  • (5) Probability reasoning
  • (6) Bayesian reasoning
  • (7) Inductive reasoning and scientific method
  • (8) Teorie rozhodování
  • (9) Impact of contingence and algorithms
  • (10) Reasoning biases and limited rationality
  • (11) Workshop (aplikace dosavadních poznatků)
Literature
    recommended literature
  • Relevantní hesla zejm. Stanford Encyclopedia of Philosophy (např. Fallacies, Interpretations of Probability, Logic and Probability, Inductive Logic, Bayes’ Theorem, Decision Theory, Game theory, Scientific method)
  • HURLEY, Patrick J. A concise introduction to logic. 11th ed., international ed. Australia: Wadsworth Cengage Learning, 2012, xxi, 706. ISBN 9781111185893. info
    not specified
  • RUSSELL, Stuart J. and Peter NORVIG. Artificial intelligence : a modern approach. Edited by Ming-Wei Chang - Jacob Devlin - Anca Dragan - David Forsyth - Ian Good. Fourth edition, global editi. Harlow: Pearson, 2022, 1166 stran. ISBN 9781292401133. info
  • PINKER, Steven. Rationality : what it is, why it seems scarce, why it matters. First published. [London]: Penguin Books, 2022, xv, 412. ISBN 9780141989860. info
  • YATES, Kit. Matematika pro život. Translated by Marek Pechal. Vydání první. Praha: Kniha Zlin, 2021, 318 stran. ISBN 9788076621121. info
  • HAUSMAN, Alan, Frank BOARDMAN and Howard KAHANE. Logic and philosophy : a modern introduction. Thirteenth edition. Indianapolis: Hackett Publishing Company, Inc., 2020, xiii, 447. ISBN 9781624669354. info
  • SINNOTT-ARMSTRONG, Walter and Robert J. FOGELIN. Understanding arguments : an introduction to informal logic. Ninth edition. Stamford: Cengage Learning, 2015, xvi, 510. ISBN 9781285197364. info
  • CRYAN, Dan, Sharron SHATIL and Bill MAYBLIN. Introducing logic. London: Icon Books Ltd, 2013, 175 stran. ISBN 9781848310124. info
  • DEVLIN, Keith J. Jazyk matematiky : jak zviditelnit neviditelné. Translated by Jan Švábenický. 2. vyd. v českém jazyce. Praha: Dokořán, 2011, 343 s. ISBN 9788025704943. info
  • PRIEST, Graham. Logic : a very short introduction. 1st pub. Oxford: Oxford University Press, 2000, xii, 140. ISBN 9780192893208. info
Teaching methods
Classes containing exercises. Activities in classes required. E-learning with regular homeworks. Numerous study materials: PDF presentations, videos, texts and quizzes.
Assessment methods
WILL BE MODIFIED
(1) REGULAR HOMEWORKS = condition required before the exam. During the semester, at least 80 % of regular e-tests (every week 1-2) must be successfully completed (each e-test must receive at least 80 % of points).
(2) FINAL EXAM. An e-test via computer. The questions are similar to those from homeworks. (For few, the exam is not required; they successfully pass if filling the homeworks.) For A mark approx. 80 % of questions must be correctly answered.
(3) BONUS (non-obligatory surplus activity): increasing received e-test mark by 1 degree (e.g. from D to C) for each of (a)-(c) (cumulative increasing is possible). (a) Attendance to classes, (b) activities in classes (answering topic-related questions), (c) answering questions on selected texts (by analytic philosophers) studied at home. For minimum points, see the Czech version above. Points from activities are recorded in IS during the semester.
Language of instruction
Czech
Follow-Up Courses
Further comments (probably available only in Czech)
The course is taught annually.
The course is taught: every week.
General note: Pro studenty kombinovaného studijního programu je doporučeno zapsat si současně předmět PHV2451 Logika I: otázky a odpovědi.
Information on the extent and intensity of the course: kombinovaná forma: 16 hodin/semestr.
Teacher's information
All materials occur in IS e-learning system.
The course is also listed under the following terms Autumn 2019, Autumn 2020, Autumn 2021, Autumn 2022, Autumn 2023.
  • Enrolment Statistics (Autumn 2024, recent)
  • Permalink: https://is.muni.cz/course/phil/autumn2024/PHBL1