400

Studies fundamental concepts of data and information management with primary focus on database systems, including identifying organizational requirements, conceptual data modeling, logical and physical database design, SQL and database administration tasks. Other topics include business intelligence technologies, data quality management and emerging trends. This course requires completion of an application prototype on a currently popular DBMS.

This course explores secure software development and digital forensic analysis. For software security, we cover the most critical application security vulnerabilities and how to mitigate them. The methodologies of developing secure applications are addressed. Secure coding practices are introduced. Additionally, students learn how to conduct vulnerability scans against software as well as take precautionary steps to prevent exploitation. For digital forensics, we explore computer crime types, investigations, and evidence analysis from different devices and operating systems. Students gain experience using digital forensic tools. Understanding cyber risks facing critical national and global infrastructures is also treated.

This course builds on database, development, and systems analysis knowledge, emphasizing project governance and business processes.  Students develop business writing skills to analyze business cases and create project governance documents. Topics include information systems project governance, risk, business process modeling, and stakeholder communications. Additionally, the course includes current topics related to an organization's use and management of technology. Students apply the knowledge acquired in their MIS studies to a real-world business problem in a semester-long project. 

A comprehensive and intense preparation for the Certified Information System Security Professional (CISSP) exam.  The course reviews the domains of the CISSP common body of knowledge.  Students sharpen test taking skills with practice questions.  A comprehensive exam is given that mimics an actual certification exam.

The course focuses on the use of data, statistical and quantitative analysis, and explanatory and predictive models to generate data-driven insight for decision-making and competitive strategy. Students gain knowledge and skills to manipulate and analyze large data sets. Topics include the strategic value of business intelligence and analytics, relevant concepts related to databases and data warehouses, data and text mining techniques, and business applications of data mining and analytics. Students use software tools to analyze large data sets.

Provides additional hands-on lab exercises that build upon the concepts learned in ITM 380. The course covers the hacking methodologies used to assess and attack a target computer system. Emphasis is placed on understanding attack exploits and using security tools and techniques to find and fix vulnerabilities. Students engage in offensive and defensive exercises stressing ethical hacking and penetration testing. Exercises are conducted using different operating systems and virtual environments.

This internship exposes the student to a real life learning experience. Students are hired by an organization for the specific objective of gaining work experience in that organization. The paid or unpaid internship position should be relevant to the student's major, and is worked out between the organization and the student. Completion of this internship helps students partially attain the following goals of the College of Business. May not be used to satisfy major requirements. Approval of the department chair required.

A course offered at the discretion of the ITM department. Subject may focus on a topic of current interest in the field, training in a specific area of the field, or a topic that is of interest to a particular group of students.

A readings or independent study course taken under faculty guidance for variable credit.