INET 4082W

About This Course

This course is a must-have for anyone seeking effective communication skills in real-world IT environments. Students delve into applied subject matter immediately using a business case involving a mission-critical technical project. The course teaches project management best practices, covering scope definition, work breakdown structure, and scheduling and cost estimation, as well as other crucial skills needed for project success, including stakeholder management, risk management, project leadership, and organizational change.

All concepts are deeply integrated through simulation assignments that students complete both individually and in teams. Over the course of the semester, students collaborate on a team project, applying writing and project management skills to realize measurable organizational value for a company.

Sample textbook: Information Technology Project Management: Providing Measurable Organizational Value, 5th Edition, Jack T. Marchewka

Instructors

Head shot of Ben Ayvaz
Ben Ayvaz

MBA with emphasis in technology delivery and marketing, Arizona State University W.P. Carey School of Business; BS, management information systems, University of Wisconsin

Ben is a management consultant with extensive experience in project management in the construction, technology, government, and health care industries. Ben's goal in teaching is to give back to a profession he loves by sharing his experience and helping to develop our next generation of leaders.

  • Fundamentals of IT (INET 2001)
  • Web Infrastructure (INET 3102)
  • Introduction to Systems (INET 4031)
  • IT Infrastructure Projects and Processes (INET 4082W)
  • Systems II: Systems Engineering and Project Management (INET 4083W)
Adrian Williams
Adrian Williams

MSc., biomedical sciences with a concentration in neuroscience, Albert Einstein College of Medicine; BS, neuroscience, Wright State University

Darnell K. Adrian Williams Jr. is an MD-PhD candidate in the Medical Scientist Training Program at Albert Einstein College of Medicine. His doctoral research uses EEG and computational methods to examine how prior expectations shape the timing and neural dynamics of visual perception in autism. His broader work spans clinical AI, multimodal physiological data, digital health and AI-assisted decision support, with research experience at Harvard Medical School, Weill Cornell Medicine, Regeneron Pharmaceuticals and Albert Einstein College of Medicine. Adrian is also the founder and principal of Afferent Health, an independent scientific and clinical research-and-development intelligence firm focused on translating complex clinical data and emerging AI/ML into evidence-backed healthcare research and decision-support strategies. He has taught at Iona University and the University of Minnesota, bringing an interdisciplinary perspective that connects technology, healthcare, ethics and real-world implementation.

  • Social Impact of Information Technology (INET 3011W)
  • IT Infrastructure Projects and Processes (INET 4082W)
  • Transforming Healthcare Management with Data and AI (HSM 4675)
Martins Idahosa
Martins Idahosa

DBA, information systems management, Walden University; MSIT in business intelligence and analytics, MBA in accounting, and BSIT in database management, Purdue University Global; BASc., management and supervision, Broward College

Dr. Idahosa has taught at Miami Dade College, Keiser University, Washington State University, Seattle Colleges and Capella University, among others, in the areas of management information systems, business analytics, cybersecurity, data analytics and software development. His research agenda centers on the adoption, governance and effectiveness of emerging technologies, particularly artificial intelligence, cybersecurity frameworks and data analytics, as well as strengthening organizational decision-making, security posture and operational performance. His peer-reviewed doctoral research and ongoing scholarly work contribute to applied and practice-oriented conversations in information systems and technology management. His teaching philosophy emphasizes experiential learning, real-world case analysis, project-based instruction and technology-enhanced pedagogy, ensuring strong alignment with workforce readiness, accreditation expectations and institutional learning outcomes.

  • Security II: Cloud Security and Strategy (INET 4007)
  • Data Science II: Advanced Analytics and AI (INET 4062)
  • IT Infrastructure Projects and Processes (INET 4082W)

Information Subject to Change

Course details, syllabus, and instructor are subject to change. Current course details can be found by clicking on the Term link(s) above.