Decision Information Science

Data analytics is a process that turns data into usable information for answering questions. This course will introduce the process of acquiring, managing and analyzing data. Readily available real-world data sets will be analyzed using supervised and unsupervised learning methods.

A course dealing with current topics in management information systems. Course content varies according to interest of students and faculty members. Permission of faculty member required. Course may be repeated for additional credit hours for different topics. Prerequisites: 50+ credit hours; appropriate business coursework (to be determined in consultation with department chair or faculty supervisor); prior written approval of chair and instructor; minimum GPA of 3.0. Course will be offered on a Pass/Fail basis.

This course introduces students to the use of quantitative business decision tools. Topics covered include decision theory, forecasting, linear programming, quality control, quality management, and project management. Students learn to model business problems mathematically, identify optimal strategies, and determine optimal solutions to these problems. Prerequisites: MATH 1353, MATH 3332 or equivalent courses.

Student research on a selected problem in the field pursued under the guidance of an assigned member of the faculty. Prerequisites: 50+ credit hours; appropriate business coursework (to be determined in consultation with department chair or faculty supervisor); prior written approval of chair and instructor; minimum GPA of 3.0. Course will be offered on a Pass/Fail basis.

Positions with participating companies provide students with experience in the computer field under the supervision of the companies and faculty. To be supervised individually by a faculty member with the approval of the chair. Requirements include completion of progress reports, on-site evaluations and program documentation. Prerequisite: Instructor Consent.

A course dealing with current topics in management information systems. Course content varies according to interest of students and professors. Course may be repeated for additional credits for different topics. Prerequisite: Instructor Consent.

Positions with participating companies provide students with experience in the computer field under the supervision of the companies and faculty. To be supervised individually by a faculty member with the approval of the chair. Requirements include completion of progress reports, on-site evaluations and program documentation. Prerequisite: Instructor Consent.

Positions with participating companies provide students with experience in the computer field under the supervision of the companies and faculty. To be supervised individually by a faculty member with the approval of the chair. Requirements include completion of progress reports, on-site evaluations and program documentation. Prerequisite: Instructor Consent.