Management Information Systems 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 104 or CS 150 with a grade of C- or higher; or UA Computer Science Placement Test Score of 380
MIS
220
C
Hours
3
Business Programming II

A second computing class designed for students that will be majoring in Management Information Systems.

Prerequisite(s): CS 120 or MIS 120 or CS 150 or RRS 101 or CS 100
Computer Science
MIS
320
Hours
3
Application & Information Architecture

The study and application of software engineering, application patterns, and file structures. Students design, construct, and test software structures for effective information management.

Prerequisite(s): MIS 295 ; CS 491 or CS 220 or MIS 220
MIS
330
Hours
3
Database Administration

Logical data modeling, RDBMS, and their use in the business enterprise are presented. Topics include anomalies/normalization, database-connections performance, n-tier architecture, query operations, stored processes and integrity triggers, and Web applications.

Prerequisite(s): MIS 220 and (EN 101 or 120) and (EN 102 or EN 121 or EN 103 or EN 104) and (MATH 121 or MATH 125 or MATH 145) and EC 110 and EC 111 and AC 210 and LGS 200 and ST 260
MIS
340
Hours
3
Data Communication in a Global Environment

Enabling international exchange of digital data to support business operations. Cultural, legal, security and operational requirements coupled with international standards evaluated in multiple network architectural configurations supporting transactional knowledge workers, e-business and e-commerce applications.

Prerequisite(s): MIS 220 and (EN 101 or 120) and (EN 102 or EN 121 or EN 103 or EN 104) and (MATH 121 or MATH 125 or MATH 145) and EC 110 and EC 111 and AC 210 and LGS 200 and ST 260
MIS
430
Hours
3
Systems Analysis & Design I

Intermediate-level skills in systems analysis and design techniques are presented. Emphasis is placed on systems development and delivery tools, methods, standards, and processes.

Prerequisite(s): MIS 330 and MIS 320
MIS
431
Hours
3
Systems Analysis & Design II

Advanced-level skills in systems analysis and design techniques are presented. Emphasis is placed on enterprise-level systems development, creation of tailored methodologies, creation of architectural standards, metrics, and business strategy alignment.

Prerequisite(s): MIS 430 and MIS 330 and MIS 320
Prerequisite(s) with concurrency: MIS 451
MIS
440
Hours
3
Decision Support Systems

This course assesses information and process requirements to support business decisions in organizations. Students conceptualize, design, develop, and deliver model-based information systems designed to support effective managerial decision making.

Prerequisite(s): MIS 200 or MIS 295
MIS
451
Hours
3
Systems Construction & Implementation II

Development of advanced software engineering skills to develop, deploy, test, document, and assess large-scale IT-based business solutions. Conversion, migration, training, maintenance, and operations plans and budget are emphasized.

Prerequisite(s): MIS 430 and MIS 330 and MIS 320
Prerequisite(s) with concurrency: MIS 431
MIS
491
Hours
1-3
Independent Study

No description available.

MIS
492
Hours
1-3
Internship

Students are selected through a competitive process for assignments in approved business or public-sector organizations. The internship is administered through the C&BA Office of Student Services. Students may earn degree credit for only one internship (492).

MIS
497
Hours
1-3
Special Topics

Special topics in MIS.

Operations Management Courses

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): (EN 101 or 120) and (EN 102 or EN 121 or EN 103 or EN 104) and (MATH 121 or MATH 125 or MATH 145) and EC 110 and EC 111 and AC 210 and LGS 200 and ST 260
OM
305
C
Hours
3
Information Technology for Operations Management

Introduction to the components of management information systems and applications of computer-based systems to business decisions. Open only to OM majors or by permission of the instructor. Computing proficiency is required for a passing grade in this course.

Prerequisite(s): (EN 101 or 120) and (EN 102 or EN 121 or EN 103 or EN 104) and (MATH 121 or MATH 125 or MATH 145) and EC 110 and EC 111 and AC 210 and LGS 200 and ST 260
Computer Science
OM
310
Hours
3
Introduction to Management Science

Concepts of management science and their application to decision making. Topics include linear programming, transportation models, integer programming, dynamic programming, queuing theory, decision theory, and network models.

Prerequisite(s): OM 300 and OM 385 or OM 305
OM
321
Hours
3
Prod Planning & Contrl

The planning and control of production and service systems. Attention is given to forecasting, operations planning, scheduling, materials management, and operations control.

Prerequisite(s): OM 300
OM
375
Hours
3
Statistical Quality Control

Statistical methods useful in control of quality of manufactured products. Topics include Shewhart and cumulative sum control charts; process capability analysis; and acceptance sampling procedures by attributes and variables. Emphasis is on understanding, design, implementation, and interpretation of these techniques.

Prerequisite(s): (EN 101 or 120) and (EN 102 or EN 121 or EN 103 or EN 104) and (MATH 121 or MATH 125 or MATH 145) and EC 110 and EC 111 and AC 210 and LGS 200 and ST 260
OM
417
Hours
3
Logistics Management

Logistics deals with the planning and control of material flows and related information in organizations. This course covers logistics systems planning, organization, and control of these activities with a special emphasis on quantitative aspects of the decisions.

Prerequisite(s): OM 300 and OM 321 or OM 310
OM
420
C
Hours
3
Computer Simulation

The use of simulation as a tool to understand and improve the performance of complex systems and processes. Students will learn the details of a specific simulation language. Applications to production processes and operational activities. Computing proficiency is required for a passing grade in this course.

Prerequisite(s): ST 260 and OM 385 or OM 305
Computer Science
OM
422
Hours
3
Production Scheduling Problems

A broad investigation into a variety of scheduling activities in a variety of environments. Topics include scheduling as applied to projects, job-shops, assembly lines, parallel machine systems, workforce, and transportation.

Prerequisite(s): OM 321
OM
423
Hours
3
Inventory Management

Control techniques for the large multi-item inventories frequently associated with manufacturing supply and wholesale-retail operations. The limitations and usefulness of models in actual practice.

Prerequisite(s): OM 321
OM
427
Hours
3
Purchasing and Sourcing

Course covers fundamental purchasing systems applications, supplier relations and evaluation, strategic planning in purchasing, purchasing techniques, value analysis and cost analysis.

Prerequisite(s): OM 300
OM
450
Hours
3
Process Management & Improvement

An analytical study of strategies, tactics, and techniques for designing, evaluating and analyzing, controlling and improving processes. Emphasis is on topics such as Design for Flexibility, Lean, Six Sigma, Constraint Management will all be included along with process application of OM analytical tools such as simulation, queuing analysis, and value stream mapping.

Prerequisite(s): OM 321
OM
487
Hours
3
Capstone Project Seminar

Course addresses the design, operation, and continuous improvement of business operations that deliver products and services. Students will work in teams on an operations oriented project with a local company. The student teams will provide periodic reports and presentations on their project work.

Prerequisite(s): OM 300 and instructor permission
OM
492
Hours
1-3
Internship In Operations Management

Students are selected through a competitive process for assignments in approved business or public sector organizations.

OM
497
Hours
1-3
Special Topics

No description available.

Statistics Courses

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.

Prerequisite(s): MATH 112 or MATH 115 or MATH 121 or MATH 125 or MATH 126 or MATH 145 or MATH 146; and CS 102 or CS 150 or CS 100 or CS 120 or CS 104 or GES 131 or GES 145 or UA Computer Placement Test Score of 380; minimum grade of C- required in any qualifying prerequisite
Computer Science
ST
450
Hours
3
Statistical Methods in Research I

Development of fundamental concepts of organizing, exploring, and summarizing data; probability; common probability distributions; sampling and sampling distributions; estimation and hypothesis testing for means, proportions, and variances using parametric and nonparametric procedures; power analysis; goodness of fit; contingency tables. Statistical software packages are used extensively to facilitate valid analysis and interpretation of results. Emphasis is on methods and on selecting proper statistical techniques for analyzing real situations.

ST
451
Hours
3
Statistical Methods in Research II

Analysis of variance and design of experiments, including randomization, replication, and blocking; multiple comparisons; correlation; simple and multiple regression techniques, including variable selection, detection of outliers, and model diagnostics. Statistical software packages are used extensively to facilitate valid analysis and interpretation of results. Emphasis is on appropriate analysis of data in real situations.

Prerequisite(s): ST 450 or GES 255
ST
452
Hours
3
Applied Regression Analysis

Data analysis using multiple linear regression, including residual plots, transformations, hypothesis tests, outlier diagnostics, analysis of covariance, variable selection techniques and co-linearity. Logistic regression uses similarly discussed for dealing with binary valued independent variables.

Prerequisite(s): ST 260
ST
454
Hours
3
Mathematical Statistics I

Distributions of random variables, moments of random variables, probability distributions, joint distributions, and change of variable techniques.

Prerequisite(s): MATH 227 or MATH 247
ST
455
Hours
3
Mathematical Statistics II

Theory of order statistics, point estimation, interval estimation, and hypothesis testing.

Prerequisite(s): ST 454
ST
497
Hours
1-3
Special Topics

No description available.