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AdviseUP: Mark II Team Hopworks: Kekai Ariola Eric Bergquist Megan Yamamoto Faculty Advisor: Tammy VanDeGrift Industry Advisors: Brian Toole and Sam Burich.

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Presentation on theme: "AdviseUP: Mark II Team Hopworks: Kekai Ariola Eric Bergquist Megan Yamamoto Faculty Advisor: Tammy VanDeGrift Industry Advisors: Brian Toole and Sam Burich."— Presentation transcript:

1 AdviseUP: Mark II Team Hopworks: Kekai Ariola Eric Bergquist Megan Yamamoto Faculty Advisor: Tammy VanDeGrift Industry Advisors: Brian Toole and Sam Burich Other Contributors: Dr. Kenneth Lulay (Client) Ronan Cranley (WAS) Jacob Caniparoli (WAS)

2 Background  Advising Process at UP  Advisees meet with their Advisor every semester  AdviseUP created to facilitate this process  Notable Features  Advisee can view and change schedule  Templates: sample schedule for a major

3 AdviseUP: Mark II  Application is using live data  Scope of project extended to include all undergraduate advisees at UP

4 Demo Kekai Ariola as...............................................................Kelsey Abe Megan Yamamoto as.....................................................Dr. Tammy VanDeGrift Eric Bergquist as............................................................The Narrator

5 Technical Details  Technologies  ASP.NET, JavaScript, C#, SQL Server  Restructured SQL database connected to Materialized Views of Banner data

6 Data Flow

7 Results  Application testing conducted on April 3rd  45 Advisees tested the application and gave feedback  3.63 average ease of use score on a scale of 1(hard) to 5 (easy)  93% of testers said they would use the application

8 User Comments  “I liked them. They helped see very clearly what needed to be fixed.”  “Only 5 semesters visible at a time. Drag and drop doesn't work if you want to drop on a previous or future semester that isn't currently visible.”

9 Project Challenges  Banner Data / Materialized Views  What, where, how data is stored  Required a redesign of the Internal Database  LDAP vs. CAS authentication  Policy considerations  Template creation  Data consistency and purging

10 Conclusion  Scheduling and advising application  Extended existing project  Could be used next year at UP

11 Questions Special Thanks To: Brian Toole Tammy VanDeGrift


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