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• MIL 432: Company Grade Leadership

  3.00 Credits

  Shippensburg University of Pennsylvania

  
  Emphasizes the role of the Army during offensive, defensive, stability, and defense support of civilian authority operations in a complex global environment. Significant emphasis is placed on preparing cadets for their first assignment as a company grade officer through completion of situational opportunities to assess risk, make ethical decisions, and lead fellow cadets at the MS I-III level. Meets for three hours per week, plus a two-hour weekly leadership lab. This class is available for graduate credit. Corequisite:    MIL 115
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• MIS 142: Business Computer Systems

  3.00 Credits

  Shippensburg University of Pennsylvania

  
  Examines role of information systems within the functional areas of an organization. Characteristics of the different types of business information systems, such as transaction processing, management reporting, division support, etc., will be discussed. Software exposure will include selected features of the Windows operating system and selected applications software packages.
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• MIS 240: Python Programming for Business and Analytics

  3.00 Credits

  Shippensburg University of Pennsylvania

  
  Covers application development for business and analytics through exploration of application development life cycle, programming logic and data structures, programming syntax, and business data analytics. Students will develop multiple Python programs to solve business and analytics problems. Python is one of the most popular programming languages for systems development and analytics. Additional topics include lists, arrays, data base interfacing, data processing, characteristics of object vs. non-object orientation. Prerequisite:    MIS 142 FOR LEVEL U WITH MIN. GRADE OF D
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• MIS 242: Web-enabled Enterprise Systems

  3.00 Credits

  Shippensburg University of Pennsylvania

  
  The course covers theory and practice with regards to the development and management of web-enabled enterprise systems. Topics include study of formal and informal information systems, enterprise systems and business integration, enterprise systems architecture and implementation, business analytics with enterprise systems, impacts of integrated information systems on organizations. As enterprise systems interfaces have increasingly become web-based, this course also covers web development using HTML, CSS, and JavaScript. Prerequisite:    MIS 142 FOR LEVEL U WITH MIN. GRADE OF D
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• MIS 300: Information Technology and Business Analytics

  3.00 Credits

  Shippensburg University of Pennsylvania

  
  Designed to address the challenging role of information technology and management information systems in today's global organizations. Deals with planning and developing databases, data privacy/security, and business analytics.
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• MIS 340: Business Programming for Analytics

  3.00 Credits

  Shippensburg University of Pennsylvania

  
  This course equips students with necessary knowledge and skills in using Python and Python packages for data analytics. It provides students with opportunities to practice with datasets taken from industries and solve mini business problems. Topics include Python basics, data structure, data type, plotting, data assembly, missing data, tidy data, and text data. If prerequisite courses are not met instructor approval is required. Prerequisite:    MIS 240 FOR LEVEL U WITH MIN. GRADE OF D
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• MIS 344: Business Systems Analysis and Design

  3.00 Credits

  Shippensburg University of Pennsylvania

  
  Provides an in-depth study of the tools and techniques of systems analysis, including feasibility, preliminary and detail systems investigations. Provides the framework necessary for design, development, and implementation of a business information system. Must be upper division status to enroll.
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• MIS 355: Data Management and Analytics

  3.00 Credits

  Shippensburg University of Pennsylvania

  
  This course focuses on how to organize, manage, and explore data. It introduces the basic concepts of database, including ER modeling and normalization, and focuses on using Structured Query Language (SQL) to define and manipulate data. Other topics include emerging data technologies (e.g., Big Data and NoSQL database), windows functions, exploratory data analysis, analytical reporting, machine learning datasets, and analytical dataset development.
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• MIS 393: Selected Topics in Business Information Systems

  3.00 Credits

  Shippensburg University of Pennsylvania

  
  Opportunity to offer courses in areas of departmental major interest not covered by the regular courses.
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• MIS 399: Information Security

  3.00 Credits

  Shippensburg University of Pennsylvania

  
  The primary goal of this course is to provide students with a broad view of information security. Managerial, technical, and practical aspects of information security are integral to the course. Students will develop an understanding of how information security fits into their personal lives, business enterprises, and society. Real-world scenarios and hands-on activities are used extensively to explore tools and techniques used in cyberattacks and for defending systems against attacks.
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