DM881: Theory of Science for Informatics
New course spring 2021.
Will be taught in parallel to BB855: Philosophy of science for biologists (5 ECTS) with joint sessions, students can only sign up for either BB855 or DM881.
- Give the competence to reflect on the knowledge of the field of Computer Science and to identify scientific issues.
- Give skills to elucidate hypotheses on a qualified theoretical background and critically refer to own and others' research results and scientific models.
- Give knowledge and understanding of how scientific knowledge is obtained and modeled through an interplay between theory and experiment
Expected learning outcome
The learning objective of the course is that the student demonstrates the ability to:
- Communicate a selected topic of theory of science in writing.
- Be able to select and present a topic of theory of science within the course syllabus.
- Be able to use the terminology from the course correctly.
- Be able to reproduce, and relate to, the course's texts of theory of science.
- theory of science in general (e.g., relationship between theory and observation, experiments, inductivism, falsificationism, theories as structures, methodical changes in method, Bayesian approach, experimentalism, laws, realism and anti-realism)
- philosophy of computer science (e.g., information, models, abstraction, implementation, epistemological status of computer science, ethical questions, metaphysical questions)
Prerequisites for participating in the exam a)
Presentation of one or more topics in class, as assigned by the instructor
Prepared presentation material (handouts, slides) allowed, a closer description of the exam rules will be posted under 'Course Information' on Blackboard.
The prerequisite examination is a prerequisite for participation in exam element a).
Exam element a)
|Type||Prerequisite name||Prerequisite course|
|Examination part||Prerequisites for participating in the exam a)||N340089101, DM881: Theory of Science for Informatics|
Allowed, a closer description of the exam rules will be posted under 'Course Information' on Blackboard.
Indicative number of lessons
- Intro phase: 6 hours
- Training phase: 18 hours, hereof tutorials: 18 hours
- Self study of various parts of the course material.
- Reflection upon the intro and training sections.
- Preparation of presentations for tutorials
|Arthur Zimekemail@example.com||Institut for Matematik og Datalogi, Datalogi, Datavidenskab & Statistik|