Department of Information Systems, Statistics and Management Science

Students are prepared to enter the workforce, ready to tackle complex problems that combine the use of information technology to improve business operations, decision-making, quality of life, security, and supply chains. Students work on corporate projects for companies that are looking for new ways to use social media and mobile and emerging technologies to improve revenues and make the firms more effective. Students learn how to scope projects, define requirements, design solutions, and develop and implement the chosen solution.

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Programs

Professor John Mittenthal, Department Head
Office: 300 Alston Hall

The department of information systems, statistics and management science provides students with opportunities to learn about the design and development of information systems, the application of statistical analysis to support business decision making and the design and analysis of business operations and processes. The department has three functional areas: management information systems, operations management and statistics.

The management information systems (MIS) faculty offer an introductory course in MIS, as well as courses for students majoring in MIS. The MIS program partners with a range of businesses and organizations to prepare students to leverage information technology to solve business problems.

The operations management faculty offer introductory courses in operations as well as courses for students majoring in operations management and those students specializing in supply chain management. The OM program has strong relationships with manufacturers, distributors, retailers, transportation carriers and logistics service providers.

The statistics faculty offer introductory statistics courses for undergraduate students. The statistics program supports the business analytics initiative for the College and has strong partnerships with leading providers of business analytics software.

Faculty

Department Head
  • Mittenthal, John
Professors
  • Chakraborti, Subha
  • Cochran, James
  • Dula, Jose
  • Hale, David
  • Hale, Joanne
  • Keskin, Burcu
  • McManus, Denise
  • Melouk, Sharif
  • Mittenthal, John
  • Perry, Marcus
  • Raja, Uzma
  • Thatcher, Jason
Associate professors
  • Barrett, Bruce
  • Carter, Michelle
  • Johnston, Allen
  • Lodree, Emmett
  • Melnykov, Volodymyr
  • Wang, Qin
  • Yavuz, Mesut
Assistant professors
  • Bott, Gregory
  • Chen, Yuanyuan
  • Dayarian, Iman
  • Freeman, Nick
  • Jena, Rishi
  • Kim, Youngsoo
  • Melnykov, Yana
  • Saifee, Danish
  • Sengul Orgut, Irem
  • Spurrier, Gary
Instructors
  • Casselman, Brad
  • Chilcutt, Nathan
  • Cottrell, Greg
  • McMillan, Jennifer
  • Nunnelly, Jennifer

Courses

MIS
200
Hours
3
Fundamentals of Management Information Systems

Business process coordination and decision making through the use of information technology will be explored, emphasizing IT use by organizations in increasingly global markets.

Prerequisite(s): CS 102 or CS 100 or CS 110 or CS 104 with a grade of C- or higher; or UA Computer Science Placement Test Score of 380
OM
300
Hours
3
Intro Operations Management

This course is an introduction to the field of operations management and addresses the design and management of the activities and resources that a firm uses to produce and deliver its products or services. Topics include operations strategy, product and process design, total quality management, statistical quality control, supply chain management, location analysis, forecasting, inventory management, operations planning, and lean/JIT business processes. Students are limited to three attempts for this course, excluding withdrawals.

Prerequisite(s): ST 260
ST
260
C
Hours
3
Statistical Data Analysis

Introduction to the use of basic statistical concepts in business applications. Topics include extensive graphing; descriptive statistics; measures of central tendency and variation; regression, including transformations for curvature; sampling techniques; designs; conditional probability; random variables; probability distributions; sampling distributions; confidence intervals; and statistical inference. Computer software applications are utilized extensively. Emphasis throughout the course in on interpretation. Computing proficiency is required for a passing grade in this course. Students are limited to three attempts for this course, excluding withdrawals.

Computer Science

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