Course Schedule and Catalog
Course Schedule - Fall Semester 2014
Meeting location information can now be found on student schedules in ESTHER (for students) or on the Course Roster in ESTHER (for faculty and instructors).Additional information available here.
Meeting location information can now be found on student schedules in ESTHER (for students) or on the Course Roster in ESTHER (for faculty and instructors).Additional information available here.
STAT 699 002 (CRN: 13165)
BIG-DATA ANALYTICS
Long Title: MATHEMATICAL SCIENCES SEMINAR
Department: Statistics
Instructor: Allen, Genevera
Meeting: (25-AUG-2014 - 5-DEC-2014)
Part of Term: Full Term
Grade Mode: Standard Letter
Course Type: Seminar
Method of Instruction: Face to Face
Credit Hours: 1 TO 3
Course Syllabus:
Section Max Enrollment: 0 (permission required)
Section Enrolled: 6
Enrollment data as of: 9-MAY-2025 2:32AM
Description: This course prepares a student for research in the mathematical sciences on a specific topic. Each section is dedicated to a different topic. Current topics include bioinformatics, biomathematics, computational finance, simulation driven optimization, and data simulation. The topics change each semester.
Fall 2014, Section 002:
This seminar course will focus on developing computational, statistical and machine learning sills required to analyze and make predictions for Big-Data. Assignments will include projects tackling real Big-Data problems. Repeatable for Credit.