seminar

DSI seminar 2/19: Managing data from multiple tables using SQL

Logistics / Setup Presenter: Robin Donatello, Assistant Professor of Statistics Date: Tuesday February 19th, 2019 Time: 3-3:50 pm Location: Tehama 116 RSVP: http://goo.gl/forms/BnjV0y5zoz09tUU83 Description You’ve got person level data (like country of origin) in one data set, annual data (like income) for each person across multiple years in another data set, but each person is on a team and team characteristics are on yet a THIRD data set. How do you link all this information together to gain any kind of insights?

Continue reading

DSI seminar 2/14: Spatial is Special!

Logistics / Setup Presenter: Peter Hansen, Chico State GIS Specialist Date: Thursday February 14th, 2019 Time: 2-2:50 pm Location: Tehama 116 RSVP: http://goo.gl/forms/BnjV0y5zoz09tUU83 Description Are you curious about how to work with or create spatial data? Are you interested in beginning to explore how geographic data can be used in your research and other data inquiries? Data with a spatial component can be analyzed with software called GIS (Geographic Information Systems).

Continue reading

Community Coding - Now for credit!

Spring 19 semester is upon us and we’re exicted to start up Community Coding again. Dates & Times: Tuesday & Thursday - 2-4pm Location : Tehama (THMA) 116 What is community coding? Students, staff, faculty, and the public are invited to join our Community Coding sessions. Bring your computer, coding projects, and your questions to this open working environment. What is this for credit option? Commit to studying 1 hr.

Continue reading

Biomedical Optical Imaging and Machine Learning for Cancer and Disease Detection

Who: Dr. Hassan S. Salehi, Assistant Professor, Department of Electrical & Computer Engineering, CSU, Chico When: Friday, Oct 26, 2018; 4pm Where: Holt Hall 170 Abstract Ovarian cancer ranks fifth as the cause of cancer death in women. Due to nonspecific associated symptoms as well as lack of efficacious screening techniques at the disposal of patients, the survival rate for ovarian cancer has not significantly improved over the last two decades.

Continue reading