This course will cover topics in Applied Statistics not discussed in other courses. Possible subjects include: exploratory data analysis, survival analysis, longitudinal data analysis, spatial statistics, non-parametric methods, and data mining and visualization. Weekly hours: 3 Lecture hours and 1 Practicum/Lab hoursPrerequisite(s): STAT 344.3 or permission of the instructor. Note: Students may take this course more than once for credit provided that the topics covered in each offering differ substantially. Students must consult the Department to ensure that the topics covered are different.
This course will cover topics in Applied Statistics not discussed in other courses. Possible subjects include: exploratory data analysis, survival analysis, longitudinal data analysis, spatial statistics, non-parametric methods, and data mining and visualization. Weekly hours: 3 Lecture hours and 1 Practicum/Lab hoursPrerequisite(s): STAT 344.3 or permission of the instructor. Note: Students may take this course more than once for credit provided that the topics covered in each offering differ substantially. Students must consult the Department to ensure that the topics covered are different.
