Service Systems Engineering
Course Descriptions

SSE2100 The World of Service Systems Engineering (F)
Introductory course covers the evolution of service systems engineering within the broader context of the engineering
disciplines. Careers and professional practice within the discipline will be explored. Topics such as optimization,
simulation, and quality tools will be introduced. Case studies in service systems engineering will be featured
throughout.

SSE2300 Service System Dynamics and Design (F,S)
Introduces a systems perspective in solving complex problems. How systems are designed and implemented will be a
focal point of the course. Topics such as simulation, life cycle, and regulation will be introduced.

SSE3200 Analysis and Design of Web-based Services (S)
The strategy behind developing web-based service systems will be the focus of the course. Topics will include
flowcharting, cost estimating, performance measurement, and alpha and beta testing. A semester project will illustrate
the use of these tools. Prerequisites: CS1121(C) and SSE2300

SSE3400 Human Influences in Service Systems (F)
Understanding the social, cognitive, and cultural influences on individual and group behavior is the focus of the
course. Methods for assessment of human perception, such as surveys, focus groups, and structured interviews, will
be introduced. The design of the service interface for human interaction will also be explored. Prerequisites:
SSE2300(C) and PSY2000

SSE3500 Operation of Service Systems (F)
Focuses on the operation of service systems in a customer-focused environment. Topics will include work task
breakdown, performance measurement, and process evaluation and improvement. Supply chain, demand
management and lean practices will also be introduced. Prerequisites: MA3710

SSE3600 Optimization and Adaptive Decision Making (S)
Techniques in optimization and adaptive decision making will be introduced. The fundamentals in linear, integer, and
goal programming will be applied to real-world problems with a service systems focus. Adaptive decision making
techniques including Bayesian analysis, fuzzy systems, and neural networks will also be investigated. Prerequisites:
MA2320

SSE4300 Engineering Project Planning and Management (F)
The various stages in a project life cycle will be defined and explored such as planning, metrics, execution,
completion, and maintenance. Basic tools such as CPM, PERT, Gantt, and budgeting will be introduced. Change
assimilation in the context of project management will also be discussed. Prerequisites: MA3710

SSE4600 Managing Risk (S)
Risk definition and identification in terms of financial, human, legal, and physical constraints will be introduced.
Techniques for analyzing and managing risk such as FMEA and Reliability studies will be covered. Other topics will
include risk elimination, mitigation, and tolerance. Prerequisites: MA3710

Updated: March 26, 2007