Zagreb, 4th – 6th June 2008

Lecturer
Dr. sc. Vesna Lužar Stiffler

Vesna Lužar-Stiffler obtained her B.Sc. in Mathematics at the University of Zagreb, her M.Sc. and Ph.D. in Computer Science (Computational Statistics) from the Faculty of Electrical Engineering and Computer Science in Zagreb. She was awarded Fulbright Postdoctoral Grant for research at the Department of Statistics, Stanford University, specializing in computational statistics and multivariate analysis. She published more than 75 professional and scientific papers and project reports (mostly in English) and presented her work at numerous conferences and meetings around the world. She has been chairing the International Program Committee of the annual ITI (Information Technology Interfaces) Conference since 2004.

Her work experience includes research, development, and teaching of statistics and statistical software at the University Computing Centre, University of Zagreb, Stanford University, University of Maryland, University of Naples, University of Neuchatel (postgraduate study in statistics), SAS Institute (since 1994), and at many government and industry institutions, in addition to her consultation through her own firm (CAIR Center) in the areas of market, pharmaceutical and opinion research. She has consulted on applications of statistical methodology in various areas of science, education and business, data mining operations, and provided SAS software support to a variety of companies (including pharmaceutical, aeronautic, automotive, semiconductor manufacturing technology, insurance, food retail, beverage, telecommunications, banking) and government organizations in the US, Italy, Croatia, Slovenia, Macedonia, BiH, Romania.

She is currently employed at the University Computing Centre (SRCE), University of Zagreb and at CAIR Center d.o.o, a consulting company she founded in 1994. CAIR Center Mission is:
To introduce, promote, demonstrate, and implement Western style decision making techniques to decision makers and influencers in Business, Industry, Education, and Government organizations in the CEE region … and to do so in a right and simple way.

Who should attend: Statisticians, researchers, and data analysts with a strong statistical background

Prerequisites
Before attending this course, you should

• know how to create and manage SAS data sets
• have experience performing regression analysis and/or analysis of variance using the REG procedure and/or the GLM procedure of SAS/STAT software
• have completed and mastered the material covered in the Statistics II: ANOVA and Regression course or completed a graduate-level course on general linear models.

Exposure to matrix algebra will enhance your understanding of the material. Some experience manipulating SAS data sets and producing graphs using SAS/GRAPH software is also recommended.