2018-2019 University Catalog 
    
    May 27, 2024  
2018-2019 University Catalog archived

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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 2018, BUS 306A-01: MIS Seminar: Data Management and Analytics for Business (3). Prerequisite: INTR 202 and at least junior standing. Preference to BSADM majors during the first round of registration. No previous programming experience is required. Analysis of data is becoming a vital component of business decision-making. In this seminar, students examine the data challenges that businesses confront. How data management and analytics are used to help make sound management decisions. In the first module, students learn how to communicate and present data in business reports and presentations. The second module covers querying and extracting data from relational databases and preparing it for analysis using MySQL and Structured Query Language (SQL). The third module is data analytics, the process of discovery, interpretation, and communication of meaningful insights and patterns in data, using robust data-analysis software. We use R, the software language and environment for statistical computing and graphics, to conduct our data analysis, along with several of its introductory data analysis packages. Ballenger.

Fall 2018, BUS 306A-02: MIS Seminar: Data Management and Analytics for Business (3). Prerequisite: INTR 202 and at least junior standing. Preference to BSADM majors during the first round of registration. No previous programming experience is required. Analysis of data is becoming a vital component of business decision-making. In this seminar, students examine the data challenges that businesses confront. How data management and analytics are used to help make sound management decisions. In the first module, students learn how to communicate and present data in business reports and presentations. The second module covers querying and extracting data from relational databases and preparing it for analysis using MySQL and Structured Query Language (SQL). The third module is data analytics, the process of discovery, interpretation, and communication of meaningful insights and patterns in data, using robust data-analysis software. We use R, the software language and environment for statistical computing and graphics, to conduct our data analysis, along with several of its introductory data analysis packages. Ballenger.




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