Quantitative Methods for Psychology I
Participation Prerequisites
none
Course Content
The course Quantitative Methods for Psychology I consists of two parts:
Part 1: Basics of Calculus: Differentiation and Optimization
Part 2: Modeling randomness: Probability and random variables
Intended Learning Outcomes and Competencies
The course Quantitative Methods for Psychology I has two learning goals. First, it conveys the basics of calculus for application in other fields. Upon course completion, students can set up and analyze optimization problems with and without constraints. Second, the course introduces participants to basic probability models. Upon completion, students can set up probability models using random variables and analyze them. Students understand probability and conditional probability.
Instruction Type
Präsenzstudium, E-Learning
Form of Examination
Exam
Literature
The material provided is meant to be self-contained. For additional applications and examples, you can consult the following:
Sydsæter, K., Hammond, P., Strom, A., Carvajal, A., Knut Sydsaeter, Peter Hammond: Essential Mathematics for Economic Analysis, 5th or 6th edition, Prentice Hall. (other editions are fine, too)
Next events
| Lecture | Tu, 03.09.2024 | 15:30 Uhr | 18:45 Uhr | IP-C-101 Hörsaal / Lecture Hall |
| Lecture | Tu, 10.09.2024 | 11:30 Uhr | 15:15 Uhr | C-107 Hörsaal / Lecture Hall |
| Lecture | Tu, 17.09.2024 | 08:00 Uhr | 11:15 Uhr | C-003 Hörsaal / Lecture Hall |
| Lecture | Tu, 24.09.2024 | 15:30 Uhr | 18:45 Uhr | C-107 Hörsaal / Lecture Hall |
| Lecture | Tu, 01.10.2024 | 08:00 Uhr | 11:15 Uhr | C-003 Hörsaal / Lecture Hall |
| Lecture | Th, 10.10.2024 | 15:30 Uhr | 18:45 Uhr | C-102/03 Klaus Rose Auditorium |
Lecturers
Dr. Clemens Buchen
Lecturer
Indicative Student Workload
| Self-Study | 64 h |
| Contact Time | 24 h |
| Examination | 2 h |
Esc