6.0 ECTS / 60 (30 hours of lectures, 0 hours of exercises, 30 hours of seminars, 0 hours other forms of work)
izr. prof. dr. Damjan Škulj
- Undergraduate Programme of Social Informatics
1. Linear algebra: linear systems, matrices, vectors, eigenvalues and eigenvectors, statistical applications; 2. Linear programming: linear programming problem statement, graphical method, matrix formulation, practical use; 3. Functions of one real variable: basic properties, derivative, extrema, indefinite and definite integral; 4. Functions of several real variables: basic properties, partial derivatives, Hesse matrix, local extrema, constrained extrema; 5. Probability calculus: basic properties, conditional probability, Bayes formula, random variables, expected value and variance, joint distributions, correlation.
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Curriculum was last modified on: 04.07.2019