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Course Registration
Software Engineering Institute
Carnegie Mellon University
Pittsburgh, PA 15213-3890
Phone: 412 / 268-7388
FAX: 412 / 268-7401
Questions: courseregistration@sei.cmu.edu
This course
may also be
offered by arrangement at customer sites. E-mail
course-info@sei.cmu.edu or call +1 412-268-7622 for details.
*Course dates and fees are subject to change.
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U.S.
Course Fee:
Industry: $2625
Government: $2100
Academic: $2100
International
Course Fee:
$5250
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Please note the prerequisites below: you must bring a laptop computer, and you must install and test a number of software tools before the course, as specified in the pre-course letter.
This five-day course takes a hands-on, measurement-oriented approach to product development, providing participants with a toolkit of analysis methods and leveraging industry best practices, such as the Design-for-Six-Sigma methodology of DMADV (Define, Measure, Analyze, Design, Verify) and CMMI High Maturity. This course builds upon basic statistical concepts from the Measuring for Performance-Driven Improvement I course. More advanced and powerful analytical methods are introduced through short lectures and extensive hands-on practice sessions using problems traditionally faced by new product development teams. Participants learn a framework in the form of tools, methods, and practices for analyzing data to make more informed business decisions about project management (quality, schedule, and cost) and process and product performance. The ways in which these quality measurement practices relate to improvement models such as the Capability Maturity Model® Integration (CMMI®) are also discussed.
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AUDIENCE
- Product Development Leaders (Systems, Hardware, Software)
- Those who need a working knowledge of CMMI high maturity measurement practices used to drive performance improvement in both process and product design:
- CMMI instructors
- Lead Appraisers for SCAMPISM Class A appraisals
- Team leaders for SCAMPI Class B&C appraisals
- Members of engineering process groups, quality improvement groups, process action teams, or appraisal teams
PREREQUISITES
Before registering for this course, participants must
- complete the Measuring for Performance-Driven Improvement I (MPDI I) class or possess equivalent knowledge approved by the SEI SEMA team. All requests for waivers of the MPDI I class must be submitted to sema-courses@sei.cmu.edu
2 months prior to the start of the course. The request for waiver must include proof of the following for review by the SEMA team: educational background, professional development courses, and measurement and Six Sigma work experience.
Before attending this course, participants must
- install student copies of a number of software tools outlined in the pre-course student letter (statistics package, Monte Carlo simulation tool, process modeling tool, and a reliability growth modeling tool)
Required Equipment
Students must bring a personal computer equipped with
- Microsoft Windows 2000 Professional with Service Pack 3, Windows XP Home Edition with Service Pack 2, Windows XP Professional with Service Pack 2, or Windows Vista (tested on Windows Vista Enterprise, Business, Home Premium, and Home Basic editions)
- Microsoft Excel 2000, 2002 (XP), 2003, or 2007
- Microsoft Internet Explorer 6.0 or later
- Microsoft .NET Framework 2.0 (or 3.0 with Windows XP versions or Vista)
- Pentium-equivalent microprocessor (800 MHz or faster)
- at least 512 MB of RAM
- at least 88 MB of hard disk space for .NET Framework 2.0 and another 58 MB for .NET Framework 3.0 (if not already installed) and at least 400 MB for additional applications to be installed. (Note: Each of the first two components listed requires approximately twice the given amount of disk space during installation.)
- CD-ROM drive or USB port
- video graphics adapter and monitor with at least 1024x768 resolution
- Adobe Acrobat Reader 6.0 or later
Please note: Beta versions of Microsoft Office Products are not supported.
TOPICS
Topic 1: Gathering and Analyzing Various Voices (Requirements and System Engineering)
- KJ analysis
- Kano analysis
- Quality Function Deployment
- use cases vs requirements
- Analytic Hierarchy Process
- reconciling different voices
Topic 2: Project Management and Process Performance Engineering
- Dummy Variable and Logistic regression to predict project and process performance
- Monte Carlo simulation and optimization for process performance and schedule uncertainty modeling
- correlation analysis of process performance factors and outcomes that are discrete in nature
- Discrete Event Simulation modeling for process performance analysis and prediction
Topic 3: Robust Design of Products
- Full and Fractional factorial designed experiments surrounding the robust design of products
- optimization techniques for product design including Response Surface Methodology
- Reliability Growth Test modeling to determine test sufficiency and latent defects
OBJECTIVES
Successful completion of this course will enable participants to
- implement a variety of measurement techniques to dramatically improve requirements engineering and solution selection
- use advanced measurement techniques to model uncertainty and predict cost and schedule performance
- select and implement uncertainty models and advanced statistics to anticipate, predict, understand, and test process and product quality
- understand basic process modeling and simulation concepts
- use modern design of experiments and optimization techniques for robust product design
Course Materials
Students must bring a laptop computer with a variety of student software installed, as described in the pre-course student letter.
LOGISTICS
Class Schedule
This five-day course meets at the following times:
Days 1-4, 8:30 a.m. to 5:00 p.m. (U.S. locations)
Day 5, 8:30 a.m. to 12:00 p.m. (U.S. locations)
Days 1-4, 9:00 a.m. to 5:30 p.m. (non-U.S. locations)
Day 5, 9:00 a.m. to 12:30 p.m. (non-U.S. locations)
Hotel and Travel Information
Information about traveling to the SEI offices is available on our
Travel and Lodging Web pages.
Questions about this course?
Please see our Frequently Asked Questions Web page for answers to some of the more common inquiries about SEI Education and Training.
If you need more information, contact us via e-mail at course-info@sei.cmu.edu
or telephone at +1 412-268-7622.
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