Water Quality Monitoring Design Course
Water Quality Monitoring Design Course at UC Berkeley Extension , August 20 & 21, 2008
This course has been tailored to meet the specific needs of grant managers, grant Project directors and/or technical leaders, contractors, or anyone in charge of developing and implementing a scientifically defensible water quality monitoring effort. The course reviews the process of planning a water quality monitoring Project, introduces major tasks associated with creating an appropriate monitoring design, and provides an assortment of Project planning tools, checklists, and templates. Topics include study question formulation, selection of indicators, selection of monitoring location and timing (using probabilistic or deterministic sampling design principles), development of adequate data quality objectives, and generation of reliable data of known quality. The course also provides an introduction to hypothesis testing and discussion of ways to assure adequate statistical power for the study dataset, as well as a list of considerations regarding data capture, storage, and management for the Project and an array of scheduling and budgeting tools.
Further details, course outline, and a direct enrollment link, are posted at:
http://www.unex.berkeley.edu/cat/course1274.html
Instructor: Revital Katznelson, Ph.D.
Cost: $545 (EDP 304782) [Grant Recipients may be able to use Grant $$ for this fee; please check with your Grant Manager]
This course has been tailored to meet the specific needs of grant managers, grant Project directors and/or technical leaders, contractors, or anyone in charge of developing and implementing a scientifically defensible water quality monitoring effort. The course reviews the process of planning a water quality monitoring Project, introduces major tasks associated with creating an appropriate monitoring design, and provides an assortment of Project planning tools, checklists, and templates. Topics include study question formulation, selection of indicators, selection of monitoring location and timing (using probabilistic or deterministic sampling design principles), development of adequate data quality objectives, and generation of reliable data of known quality. The course also provides an introduction to hypothesis testing and discussion of ways to assure adequate statistical power for the study dataset, as well as a list of considerations regarding data capture, storage, and management for the Project and an array of scheduling and budgeting tools.
Further details, course outline, and a direct enrollment link, are posted at:
http://www.unex.berkeley.edu/cat/course1274.html
Instructor: Revital Katznelson, Ph.D.
Cost: $545 (EDP 304782) [Grant Recipients may be able to use Grant $$ for this fee; please check with your Grant Manager]