Upcoming Events

Sep

2025

Application for ACSS Executive Team Now Open - Apply Before September 17th!!!

ACSS Executive Applications Now Open!!

Who are we looking for?

Students who are motivated, collaborative, passionate about improving the CS experience for everyone and enjoy being a part of a team! Even if you’re not sure you’re “qualified,” we encourage you to apply — we're looking for potential and enthusiasm more than experience.

Current open positions are:

· First-year Representative(s): A great way for first-year students to get involved, meet new people, and building experience in the society. As a first-year rep. you'll help make sure that other first-years feel included and heard as the new students on campus. You're the friendly face within a new group of students and represent them at our executive meetings.

· Treasurer: The treaseurer of ACSS is suitable for (upper year) students who have experience dealing with budgets, funding applications and reimbursements. Students applying for this role must be detail-oriented and good at keeping track of the financials of the ACSS. Experience is helpful, but not required.

· Social Media Coordinator: Chronically online students may consider applying for the social media coordinator position. This role is the center of all communications with other students and faculty in the department. As a social media coordinator, you are responsible for designing and posting content to promote events for other students to keep people in the know.

· Event Coordinator(s): For those who love to plan and create fun events, the event coordinator position might be up your alley. All of our events could not be possible without our event coordinator(s) who brainstorm and collaborate with others to provide fun events for all students. We are always looking for new ideas to keep the CS students happy.

Fill out this short application form by September 17th to be considered for the executive team:

https://forms.gle/LJUM1YyvQ1xpYYg16

Past Events

Mar

2016

CS Seminar - Alex Mair

Mar

2016

CS Seminar - Maggie Neilson

Mar

2016

Data Analytics Option Offered in 2016

Feb

2016

CS Seminar - Dr. Ying Zhang

SEMINAR PRESENTATION

Friday, February 26, 2016

2:30 PM

Carnegie Hall 113

________________________________

Test for Trends in Blocked Time Series Data: Harvesting Maple Syrup in Nova Scotia

Dr. Ying Zhang

Abstract

Motivated by an investigation on the effects of local environmental conditions on yield in maple syrup production in a Nova Scotia farm, we generalized the nonparametric seasonal Mann-Kendall test procedure to test for trends in blocked and panel time series data. To further answer the question of when the change happens, we proposed a new procedure of testing for the change point in blocked time series data. In this talk, I will review some well-known nonparametric statistics used for testing for trend/change point in univariate time series data and then introduce our generalizations to the blocked data. I will report key findings from our investigation with both parametric and nonparametric methods.

This is a joint work with Elizabeth Abebe supported by an NSERC Engaged Grant and NS 2015 SCEI program.

About the Presenter

Dr. Ying Zhang is a Professor in the Department of Mathematics & Statistics and has been the Director of the Statistical Consulting Centre since coming to Acadia University in 2004. Prior to this, Ying was the manager of the Statistical Laboratory at Western University (2001-2004), and has been an active statistical consultant since 1999. She has worked with a variety of organizations. Ying has extensive experience with applied statistical methodology research and consulting, specializing in time series intervention analysis, nonparametric statistics, experiment design, and survey sampling. Ying is a researcher member of Acadia Institute for Data Analytics (AIDA) and a board member of Statistical Society of Canada (SSC) and the International Environmetrics Society (TIES).

Everyone is welcome to attend!

Feb

2016

Honour Thesis Defence - Yonghong Chen

Jan

2016

CS Seminar - Large Object Extraction for Binary Images on the GPU