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Probability and Statistics

Probability and Statistics introduces both foundational and advanced concepts essential for data analysis in the field of information and communication technology (ICT). Key topics include probability theory, random variables, probability distributions, statistical inference, hypothesis testing, confidence intervals, regression analysis, and applications of statistical methods in ICT. Students engage in lectures and practical sessions to apply these concepts, focusing on developing strong analytical and quantitative skills. Activities involve solving statistical problems, analyzing real-world data sets, utilizing statistical software tools, and collaborating on projects that require statistical modeling and interpretation. The course emphasizes best practices and explores current trends in statistical analysis and data-driven decision-making within the ICT industry.

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