Philosophy of Science and Good Scientific Practice

Philosophy of Science and Good Scientific Practice

After this course, students possess the scientific working methods and are familiar with the principles of good scientific practice.


Contents

Training in good academic practice and scientific methodology


Program / Module

M.Sc. Computational Modeling and Simulation
Module: CMS-SKL - Soft Skills


Time/Place
Winter Term

Lecture: Wednesdays, 3. DS (11:10-12:40) ONLINE / FIRST LECTURE: OCT 28, 2020
NO LECTURE ON: NOV 18, 2020 (public holiday).

SEMINAR WILL BE ENTIRELY ONLINE FOR THE WHOLE SEMESTER. It will be held as Zoom live screen-casts with the possibility to ask questions. The link is announced here below (recurrent, same for every week). In order to keep this as close as possible to a real lecture experience, and to allow interactive student presentations, the webcasts are not recorded.

Webcast link for the exercises (recurrent, same every week): https://us02web.zoom.us/j/81087412607?pwd=dWpYeEl1V3hWN1dQWHN2QWx5cWxOZz09
Meeting ID: 810 8741 2607
Password: 253325


Format

2 SWS lecture, self-study

2,5 credits


Exam

Oral presentation of 15 min in teams.

See syllabus below.

Registration for the exam opens on October 28, 2020, and closes on November 24, 2020, 10pm. Registering for the exam is via SELMA and is ONLY possible AFTER registering for BOTH the module CMS-SKL AND this course within the module. De-registration from the exam is possible after registration, but until December 15, 2020, LATEST. Exams start December 16, 2020.


Grade scale:

Grading of the presentations is according to the following criteria:

  • quality of presentation / presentation style
  • quality and correctness of contents
  • creativity
  • response to questions
  • bigger picture, context, own critical analysis and discussion
The following guideline is used for grading:
  • Grade 1: Outstanding presentation, both in contents and quality. Significantly goes above expectations
  • Grade 2: Good presentation as expected for a student at this stage.
  • Grade 3: Presentation with flaws, or hard to understand, or containing wrong statements.
  • Grade 4: Minimal requirements met, but presentation quality and/or contents below expectations.
  • Grade 5: Failed. Presentation entirely un-understandable, or no-show.
For gradation, individual grades can be lowered or raised by 0.3 points (e.g., 1.3 = almost perfect, but not quite). The grades 0.7, 4.3, and 4.7 are not to be used (see exam regulations). All grades above 4.1 are equivalent to a 5.


Exam Review winter 2019/20

You have the opportunity to receive feedback on your performance and discuss it in an online exam review session

on Sept 21, 2020, at 9am.

https://us02web.zoom.us/j/82083582747?pwd=OW5FSHQwVnRKbU13NjhhN0dFYTUvdz09

Meeting ID: 820 8358 2747

Passcode: 243428

Participants will be let in one by one in the order of arrival. There is a waiting room for you to log in to until it is your turn.


Registration to the course

For students of the Master program "Computational Modeling and Simulation: via CampusNet SELMA within the general registration period of the semester.


Teacher

Lecture: Prof. Ivo F. Sbalzarini

Instruction language: ENGLISH


Please find below the lecture syllabus and the handouts:
  • Lecture 1 - What is a model, simulation, etc. Laplace philosophy of science (Slides PDF)
  • Lecture 2 - DFG Rules of good scientific conduct (Slides PDF)
  • Lecture 3 - How to author, cite, and acknowledge (Slides PDF)
  • Lecture 4 - Classes of emergence and scientific discovery (Slides PDF), Assignment of seminar topics (Slides PDF)
  • Lecture 5 - How to write a text, how to give a talk (Slides PDF)
  • Lecture 6 - How to search and survey the literature (Slides PDF)
  • Lecture 7 - Exam presentations 1-6
  • Lecture 8 - Exam presentations 7-12
  • Lecture 9 - Exam presentations 13-18
  • Lecture 10 - Exam presentations 19-24
  • Lecture 11 - Exam presentations 25-30
  • Lecture 12 - Exam presentations 31-36