DATX 6996 03: Data Analytics Project

DATX 6996 - Data Analytics Project

Fall 2026 Syllabus, Section 03, CRN 42770,

Credit hours: 3

Course Meeting Times

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Instructor

G. Jay Kerns

Email: gkerns@ysu.edu

Public Instructor Information

Instructor Title: Professor
Instructor Professional Qualifications:

  • Ph. D., Mathematics, Statistics Specialization, Bowling Green State University
  • M.A., Mathematics, Bowling Green State University
  • B.A. Ed., Music, Mathematics, Science, Glenville State College

Instructor Office Location: 620 Cafaro Hall
Instructor Office Phone: (330) 941-3310

Private Instructor Information

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Course Description

6996. Data Analytics Project. Individual or team research project culminating in a written report or paper utilizing predictive modeling techniques, visualization, and data management techniques, possibly through a partnership with a business, industry, or government partner. If working in partnership with YSU Data Mine, concurrent enrollment in DATX 5895 is required. May be repeated. Prereq.: Permission of instructor. 1-3 s.h.

Course Readings

Group Title Author ISBN
Optional

None required.

The course readings are subject to change in the event of extenuating circumstances, research developments, current events, and/or to ensure better learning.  

Course Learning Outcomes/Objectives/Goals

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How to Succeed in This Course

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Attendance Expectations

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Late Work Submission Policy

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Additional Course Expectations

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Artificial Intelligence Policy Statement

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Assignments/Assessments

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Grading and Grading Scale

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University Policies

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Schedule of Topics and Assignments

Week of Proposed Topic Due/To Prepare for Class
8/24 Meet Corporate Mentor and Team
Sprint 1
8/31 Sprint 1 Report
9/7 Sprint 2
9/14 Sprint 2 Report
9/21 Sprint 3
9/28 Sprint 3 Report
10/5 Sprint 4
10/12 Sprint 4 Report
10/19 Sprint 5
10/26 Sprint 5 Report
11/2 Sprint 6
11/9 Sprint 6 Report
11/16 Sprint 7
11/23 Sprint 7 Report
11/30 Final Survey
12/7 Final Presentation

The course schedule, policies, procedures, and assignments in this course are subject to change in the event of extenuating circumstances, by mutual agreement, and/or to ensure better learning.