 |
Remaining 2008 Dates
October 20-24, 2008 (SEI Pittsburgh, PA)
2009 Dates
January 26-30, 2009 (SEI Pittsburgh, PA)
January 26-30, 2009 (Tokyo, Japan)
April 20-24, 2009 (SEI Pittsburgh, PA)
May 4-8, 2009 (SEI Frankfurt, Germany)
November 2-6, 2009 (SEI Arlington, VA)
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
To Register: 2008 Click Here
To Register: 2009 Click Here
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.
|
U.S.
Course Fee:
Industry: $2625
Government: $2100
Academic: $2100
International
Course Fee:
$5250
Register for
2008 Dates
Register for
2009 Dates
|
| |
Please note the prerequisites below: you must bring a laptop computer, and you must install and test your student version of a statistical package before the course, according to instructions in the pre-course student letter.
This five-day course takes a hands-on, problem-solving approach to data analysis, providing participants with a toolkit of analysis methods and leveraging industry best practices such as Six Sigma and Goal-Driven Software Measurement. Key concepts in data analysis - including statistical thinking, the 7 Basic Tools, and root cause analysis, are introduced through lectures and extensive practice sessions using real-life case studies and project data. Participants learn a framework in the form of tools, methods, and practices for analyzing data to make more informed business decisions about project and process performance, quality, schedule, and cost. The ways in which these quality measurement practices relate to improvement models such as Capability Maturity Model® Integration (CMMI®) are also discussed.
|
| |
AUDIENCE
- software engineering process group members
- process improvement working group members
- software measurement team members
- Six Sigma black belts, green belts, or belt candidates
- professionals seeking better ways to analyze quantitative data in support of process improvement within organizations and projects
- project managers and process managers
PREREQUISITES
Before registering for this course, participants must
- be familiar with measurement projects or processes from their home organization
- be familiar with establishing a measurement infrastructure, particularly using Goal-Driven Measurement
Before attending this course, participants must
- install their student license of a statistics package, identified in the student pre-course letter, and confirm that the software opens and functions
- read the background material on earned value measurement, Goal-Driven Measurement, and the SEI's Goal-Question-(Indicator)-Metric (GQ[I]M) methodology sent to them
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
OBJECTIVES
- explore and navigate data to understand project, process, and product behavior, relationships and trends
- use analysis methods to remove special causes of variation and stabilize processes
- apply course concepts to CMMI to drive business benefit
- select appropriately from among the data analysis methods learned in class
- apply effective measurement & analysis techniques within a CMMI implementation
Course Materials
Students must bring a laptop computer with their student license of a statistics package installed (per instructions in the student pre-course 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.
|
