BUS 306 - Seminar in Management Information Systems

Credits: 3 in fall, winter; 4 in spring

Prerequisite: May vary with topics. Preference to BSADM or JMCB majors during the first round of registration. Topics vary by term and instructor. May be repeated for degree credit if the topics are different.

Fall 2017, BUS 306A-01: MIS Seminar: Data Management and Analytics for Business (3). Prerequisite: INTR-202 and at least junior standing. Preference to BSADM, JMCB, and JMCS majors during the first round of registration. Analysis of data is becoming a vital component of business decision-making. In this course, we examine the data challenges that businesses confront and how data management and analytics are used to help make sound management decisions. The first course module is data integration and management using Relational Database Management Systems. Students use MySQL and Structured Query Language (SQL) to define how data is stored, maintained, manipulated, and queried in relational databases. The second module is data analytics: the process of examining the data to generate information to draw conclusions. These conclusions are made possible by using various analytic tools including Excel, Tableau, and SAS. Ballenger.

Fall 2017, BUS 306A-02: MIS Seminar: Data Management and Analytics for Business (3). Prerequisite: INTR-202 and at least junior standing. Preference to BSADM, JMCB, and JMCS majors during the first round of registration. Analysis of data is becoming a vital component of business decision-making. In this course, we examine the data challenges that businesses confront and how data management and analytics are used to help make sound management decisions. The first course module is data integration and management using Relational Database Management Systems. Students use MySQL and Structured Query Language (SQL) to define how data is stored, maintained, manipulated, and queried in relational databases. The second module is data analytics: the process of examining the data to generate information to draw conclusions. These conclusions are made possible by using various analytic tools including Excel, Tableau, and SAS. Ballenger.