and nonparametric methods. Emphasizes applications with an introduction to packaged computer programs. Prereq., APPM 1360 or equivalent Calculus 2 course. Same as APPM 5570. Usually offered every Fall ...

Courses are designed to provide students with skills in both traditional statistical methods and cutting-edge data analysis techniques, and the degree requires an in-depth knowledge of either science, ...

Most of these courses qualify for the AMAP Graduate Certificate ... Spring 2023) HDFS 613: Quantitative Methods I: Inferential Statistics and ANOVA, Kristine Marceau (Human Development and Family ...

This course is designed for engineering graduate students who are interested in furthering their knowledge in advanced and emerging methods of engineering design, with the focus on computational ...

This course aims to provide an understanding of the statistical principles behind ... approaches to mediation analysis and the assumptions underlying these methods; have a working knowledge of the ...

This course is compulsory on the MSc in Quantitative Methods for Risk Management ... MSc in Financial Mathematics, MSc in Statistics (Financial Statistics) and MSc in Statistics (Financial Statistics) ...

Statistical methods are mathematical formulas, models, and techniques that are used in statistical analysis of raw research data. The application of statistical methods extracts information from ...

id=7745) The course provides a comprehensive coverage of fundamental aspects of methods and principles in probability and statistics, as well as linear regression analysis. Real data illustrations ...

Statistical methods for biological sequence analysis, analysis of gene expression data, and inference of biological networks. Applications will also be described in evolution and population genetics.

The MSc in Social Research Methods and Statistics is designed to be accessible to non-statisticians, yet is more focused than many other existing master's courses in social research methods. You will ...

This course is designed for engineering graduate students who are interested in furthering their knowledge in advanced and emerging methods of engineering design, with the focus on computational ...