Undergraduate Admission
    Graduate Admission

    Process Engineering for IT Managers, IT-M 572

    About this Course:

    This course will provide students with the knowledge and skills to define, model, measure and improve business processes. The course will focus on workflow optimization through the re-engineering of business processes. There will be an emphasis on the application of technology to achieve significant and measurable improvement. The course will explore the latest industry standards and will explore software tools.

    Currently Scheduled

    In Progress

    Prerequisites:
    IT-M 471 Project Management for IT Professional or equivalent knowledge or experience required for enrollment.

    Who Should Attend:
    This course is valuable for those who wish to gain or refine management skills while increasing the commitment and productivity of their teams, including engineers, programmers, analysts and other technical and data-processing managers.

    Expected Outcomes:

    • Discuss the benefits of establishing formal processes
    • Discuss the elements of process engineering and business process re-engineering
    • Recognize, describe and document (using formal notation) processes
    • Analyze "as-is" processes to determine success criteria and to establish associated metrics and monitoring capabilities
    • Identify and quantify sources of inefficiency in processes using objective measurements
    • Develop improvement opportunities through modeling and measurement
    • Recognize and realize business opportunities through process analysis and improvement
    • Discuss process improvement frameworks such as Six Sigma and CMM
    • Analyze the costs and benefits relative to process engineering of buy vs. build decisions for enterprise applications

    Course Outline:

    • Introduction and Motivation
    • Business Processes Defined
    • Strategic Advantage
    • The Enterprise
    • Bottlenecks and Friction
    • Discovering Processes
    • Establishing Scope
    • Discovering Opportunities
    • As-Is Assessment
    • Modeling Processes
    • Detailed Analysis
    • Actors and Their Roles
    • As-Is Model Capture
    • Final As-Is Assessment
    • Determining To-Be
    • Data Modeling
    • Modeling Requirements

    CEU:
    3.4

    Instructor:
    Dennis Hood