Vak: Preparatory Course Data Science I credits: 5
- Vakcode
- BFVM22DATASC1
- Naam
- Preparatory Course Data Science I
- Studiejaar
- 2022-2023
- ECTS credits
- 5
- Taal
- Engels
- Coördinator
- F. Feenstra
- Werkvormen
-
- Hoorcollege
- Toetsen
-
- TOETS-01 - Schriftelijk, organisatie ToetsCentrum
Leeruitkomsten
interpret mathematical notation of calculus, statistics and linear algebra
apply basic equations analytically, including linear, rational, quadratic, trigonometric, exp/log equations in one variable
execute differentiation and integration of standard functions in simple forms
understand probabilistic concepts related to the scientific method
apply descriptive statistics and execute standard statistical tests, including Welch/Student t-test, F-test, and χ2 tests on proportions
manipulate mathematical expressions involving matrices and vectors
solve linear systems of equations using matrix algebra
Inhoud
In this course, the student will revise basic mathematical skills and knowledge in the fields of calculus, statistics and linear algebra. This is one of the three optional modules of the Preparatory course. Its intended for students without a sound background in mathematics and statistics. The basic mathematical skills are a required level for the data sciences subjects and introduce students in simple modeling using statistics and linear algebra
Opgenomen in opleiding(en)
School(s)
- Instituut voor Life Science & Technology