Upcoming Events

Feb
26
2026
SDA Lab Day (2:30 pm - 4:00 pm)

We are pleased to invite you to the SDA (Streaming Data Analytics) Lab Day, an opportunity to discover research done by SDAL students. The poster is attached.

  • Date: Thursday, February 26
  • Time: 2:30 – 4:00 PM
  • Location: CAR 113

During this event, students/alumni will give short (10-minute) presentations highlighting their research work. We warmly encourage students, faculty members, and anyone interested in applied research and innovation to attend.

Please see the attached poster for more details on the presentation topics.

Pizza and Refreshments will be served.

Looking forward to seeing you there!

Mar
26
2026
2026 Computer Science Banquet (5:30 pm)
 
As we approach the end of a fantastic year for the School of Computer Science, it’s time to celebrate our collective hard work and achievements! The Acadia Computer Science Society (ACSS) is thrilled to invite you to our annual Society Banquet.
This is a wonderful opportunity to interact with your fellow students and faculty outside the classroom and enjoy an evening of great food and entertainment.
 
Event Details
  • Date: Thursday, March 26, 2026
  • Time: 5:30 PM onwards
  • Location: Clark Commons (may change based on ticket sales)
  • Ticket Price: $25 (Note: The actual cost to run the banquet is closer to $50 per person, so this is a steal!)
  • Theme: Retro
 

Evening Schedule

  • 5:30 PM: Meet and Mix Styled Bingo - Winners takes home a $25 When in Wolfville Gift Card!

  • 6:00 PM: Opening Speech

  • 6:15 PM: Dinner is served

  • 7:00 PM: ACSS and School Awards Ceremony.

  • 7:30 PM: Games and surprise activities to close out the night.

 
How to Secure Your Spot
To confirm your attendance, please complete both steps below:
  1. Fill out the Registration Form: Link (this includes any dietary restrictions so we can accommodate everyone.)
  2. Submit Payment ($25):
    • E-transfer (preferred): Send to cs.society@acadiau.ca. Important: You must include your full name and Acadia email address in the notes section.
    • Cash: You can pay in person to Sharon Watson at her office in Carnegie 310.
Note: Your seat is only confirmed once both the form and payment are received. After confirmation, you will receive your electronic ticket via email.
This has been an incredible year for Computer Science at Acadia, and we can’t think of a better way to wrap it up. We look forward to seeing many of you there for an unforgettable night!

 

 

Past Events

Oct
17
2014
CS Seminar - A rough guide to New Media in the Annapolis Valley (2:30 pm - 4:30 pm)
JodreySchool of Computer Science
SEMINAR PRESENTATION
Sep
26
2014
BIG DATA ANALYTICS FOR RISK ENGINEERING (2:30 pm)
Risk Engineering is the discipline of utilizing predictive
analytics and real-time market data to design portfolios of risk that
target specific economic goals while satisfying regulatory, market, and
other constraints. Risk Engineering is used by insurance and reinsurance
companies as part of their strategic planning and execution. Analytical
processes around Risk Engineering are data-driven and computationally
intensive. Analyze Re provides Software-as-a-Service solutions for Risk
Engineering to the insurance and reinsurance industry. This talk provides
an overview of the computational challenges that are involved in Risk
Engineering applications and discusses how some of them are being solved
with today's technologies.
Sep
12
2014
Computer Science CO-OP Showcase (2:30 pm - 4:30 pm)

Come hear from students who have just finished summer work terms and find out what it’s really like to work in your field!

Sep
5
2014
Computer Science Seminar (2:30 pm)

Colibri is a Ruby on Rails company that is developing a geo-located product, Strollopia, which is available in Beta on Android (iOS coming soon). This product will allow simple building and sharing of mapping data. It has a rich API which allows programmers the freedom to build apps that take advantage of it, and it has a mobile presentation layer that delivers content based on location.

Sep
3
2014
Oct
29
2013
Computer Science Lecture (1:30 pm - 3:00 pm)