Analysis of Experimental Data

The Analysis of Experimental Data course teaches techniques for effectively analyzing and interpreting data obtained from experiments. It covers statistical methods, error analysis, and data modeling to help students draw reliable conclusions. Key topics include descriptive statistics, hypothesis testing, regression analysis, and uncertainty estimation. Students also learn how to handle different types of errors and use software tools for data analysis. The course prepares students to critically evaluate experimental results and apply appropriate statistical methods in research and practical applications.