BMIS - Business: Mgmt Info Systems

BMIS 211  Data Analytics I: 3 Credits (3 Lec)

PREREQUISITE: M121Q or higher math course, or placement into math level 400 or higher. (F, Sp, Su) Students acquire skills to build data models in spreadsheet software as personal and professional decision support tools. Students also analyze model output to make effective decisions

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  1. Manipulate and summarize data to support decision analysis
  2. Construct what-if analyses
  3. Recognize when to apply spreadsheet functions appropriate to the situation
  4. Efficiently apply core spreadsheet functions
  5. Use spreadsheet capabilities to communicate effectively
  6. Demonstrate abilities to independently apply spreadsheet functions appropriately
  7. Develop ability to independently learn new functions and capabilities of software

BMIS 311  Management Information Systems: 3 Credits (3 Lec)

PREREQUISITE: BMIS 211 and ACTG 201. (F, Sp, Su) A survey of the uses of information in organizational management, with emphasis on strategic systems and systems to support managerial decision making. Students apply concepts in practical application projects using currently available software

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  1. Comprehend the overall role and strategic importance of information systems in modern organizations;
  2. Comprehend how information systems can be applied to promote electronic business, effective teamwork, an enhanced business decision making;
  3. Comprehend the potential for information systems to create and sustain competitive advantage;
  4. Comprehend the database foundations of information systems;
  5. Comprehend the ethical and social implications of information technology;
  6. Comprehend the operational considerations of security, transaction processing, and enterprise integration; and
  7. Comprehend issues and problems involved with the acquisition and organization of information resources.

BMIS 312  Data Analytics II: 3 Credits (3 Lec)

PREREQUISITE: STAT 216Q, and BMIS 211 or CAPP 156. (F, Sp) Sources of organizational data, data cleaning and transformation, and tools and techniques to conduct effective descriptive data analysis and visualization for purposes of organizational decision making. Emphasis is on application of tools and interpretation of analysis. Online registration reserved for business majors & other majors for whom this course is a degree requirement. Other interested students email business@montana.edu to request registration

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  1. Identify deficiencies and errors in data sets.\\n
  2. Apply techniques for cleaning and transforming data in preparation for analysis.
  3. Create effective charts by applying appropriate data visualization techniques.
  4. Interpret data analysis results.

BMIS 491  Special Topics: 1-5 Credits ()

Offered as needed based on student demand.