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Probability - The Science of Uncertainty and Data
- Class 30
- Practice 30
- Independent work 90
Total 150
Course title
Probability - The Science of Uncertainty and Data
Lecture type
Elective
Course code
20-02-584
Semester
1
ECTS
5
Minimal learning outcomes
- Demonstrate basic structure and elements of probabilistic models
- Demonstrate understanding of random variables, their distributions, means and variances
- Demonstrate in-depth understanding of the practical foundations of probalistic calculations and inference methods
- Demonstrate in-depth understanding of the practical foundations of laws of large numbers and their applications and random processes
Preferred learning outcomes
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4 semesters (2 years)
Professional Master in Computer Engineering, sub-specialization in Data science
IT SMF – ITIL Foundation
Professional Master in Computer Engineering, sub-specialization in Data science