Courses

Principles of data analysis based on real examples will be discussed. Topics include measures of central tendency, dispersion, confidence intervals, sampling issues, probability distributions, etc. Credit will be given for only one of either AGRI 5010, AGRI 5013, AGRI 6010, or AGRI 6016.

Principles of data analysis based on real examples will be discussed. Topics include measures of central tendency, dispersion, confidence intervals, sampling issues, probability distributions, etc.

Principles of data analysis based on real examples will be discussed. Topics include measures of central tendency, dispersion, confidence intervals, sampling issues, probability distributions, etc. Credit will be given for only one of either AGRI 5010, AGRI 5013, AGRI 6010, or AGRI 6016.

Theories for the bending and stretching of plate and shell structures. Transverse loading, buckling, vibration, and thermal stress problems. Introduction to energy methods, numerical techniques, and large deflection theories.

Prerequisites or The purpose of this course is to introduce students to tourism policy and planning concepts, methods, planning, and best practices. Topics will include analyzing tourism policy development processes, relevant global policy issues, and critical analysis of tourism.

This course is designed to prepare students to critically evaluate medical literature and use as basis for making medical decisions.

This course is designed to prepare students to critically evaluate medical/ scientific literature and to write a master¿s level papers. The ability to critically analyze scientific publications will be incorporated into the process of making medical decisions. Biomedical and Health Sciences Prospective students visit http://www.uab.edu/shp/home/degreescertificates/grad-professional-degrees to obtain specific admissions requirements on how to apply to the Graduate School. Degrees Offered: M.S.

This course will provide instruction and application in analyzing information specific calculate measures utilized in descriptive, correlational, and differential statistics. Students SPSS programs.

Application of contingency tables, and descriptive, differential, and correlational statistics options, and interpretation of statistical program output.

This course is to prepare students for observational research using spacecraft data, especially in-situ measurements of particles and fields. Students will first learn to access spacecraft databases and use softwares of their choice. Students will be introduced to common data analysis methods such as distribution function, model fitting, spectral analysis, etc.