Search

SVIC Startup: Financial Market Segmentation & Consumer PreferencesCreated by MSMR students Badal and Maddie, this study centered on a universal credit card that users link to their existing cards. When making a purchase with the universal card, the individual card that results in the most beneficial rewards will be the one selected. Backed by both secondary and primary data, the purpose was to generate insights into consumers’ credit card behavior and preferences. To determine how a startup

Reading ChallengeMembers of the PLU community are invited to participate in a reading group challenge. THE CHALLENGE First, select one of the Migration symposium related texts or films from the list below. Then form a reading or viewing group made up of at least six PLU community members (faculty, staff, and/or students), plan to meet once to discuss your selection. All Groups will receive a small basket of goodies to have during their discussion. HOW TO PARTICIPATE The reading group convener

Supply Chain Management (4) And 4 semester hours from the following: BMBA 577: Project Management (4) Approved BMBA 587/588/589: Special Topics (1 to 4) Master of Business Administration (M.B.A.) - Graduate Courses BMBA 504 : Quantitative Methods for Decision Making Methods and techniques of quantitative research. Emphasis on research design, data collection, basic data analysis; including, chi-square, correlation, ANOVA and regression, as well as interpretation and presentation of results. Students

Analysis Computer-based Geographic Information Systems, digital maps, and data sources. The creation, interpretation, and analysis of digital maps from multiple data sources. Analysis of spatial information from sciences, social sciences, and humanities using sets of digital maps. Prerequisite: previous science (earth science preferred), math or computer science course or consent of instructor. Familiarity with maps recommended. (4) ESCI 332 : Geomorphology Study of the processes that shape the Earth's

data in three dimensions using LEGO bricks. Data is rounded to the nearest integer to accommodate the discrete height of the bricks, introducing some inaccuracy in the display. Levene’s test for equality of subgroup variances is applied to verify that this rounding error is small relative to other sources of variation in the data. Results of Levene’s test, together with visual inspection, provide evidence that the rounding error in the display is appropriately small. 1:30-1:55pm – Regression