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Data Analysis: Statistical Modeling and Computation in Applications
- Class 30
- Practice 30
- Independent work 90
Total 150
Course title
Data Analysis: Statistical Modeling and Computation in Applications
Lecture type
Elective
Course code
21-02-582
Semester
1
ECTS
5
Minimal learning outcomes
- Demonstrate understanding of data analytic techniques and communication skills on selected use case scenario
- Demonstrate understanding of mathematical and statistical methods as well as critical thinking
- From a real-life data sample, formulate analysis scenario on data with focus on selcted domain
- Demonstrate understanding of statistical tools, hypothesis tests, regression and gradient descent methods
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