Creative Computing is a course developed by an international network of educators passionate about exposing kids to the computer sciences. Broken up into 7 units, this course uses the popular Scratch programming environment to aid young people (aged 8 to 13) in learning the basics of software development. Scratch is used over the world by students to easily create animations and games while acting as a stepping stone to the more advanced world of computer science.
Advanced computing - computing beyond the capabilities of a traditional laptop - can remove years from innovation timelines. Use it to create complex models, develop and test algorithms, run large-scale simulations, and test scalability. ACENET provides access to advanced computing infrastructure through your desktop, along with ongoing support, expertise and training. If your computing needs are outgrowing your laptop, you’re having difficulty using a commercial cloud platform, or you’re just not ready to purchase expensive hardware and software, call us!
The Acadia Computer Science Society welcomes not only Computer Science students but all students enrolled at Acadia University. We endeavour to be an advocate for students with interests in computer science and technology. We plan events like banquets, CaCHe, LAN parties, and seminars.
Rural Canada feeds our nation literally, economically, and environmentally. It provides the food, fiber, minerals, water and other bio-resources and natural resources on which our country depends and the arteries of transportation by which they are delivered. Digital technologies and data analytics can help us shape how we work with these resources and their impact on our local communities and our planet. Mission To advance knowledge in data analytics through collaborative and interdisciplinary research, education and outreach and to foster the ethical application and commercialization of data analytic solutions to challenges facing industry, government and society in rural Canada.
Dr. Daniel L. Silver is the Director of the Acadia Institute for Data Analytics . He is also a Professor in and currently the Acting-Director of the Jodrey School of Computer Science at Acadia University. His areas of research and application are machine learning, data mining, and data analytics. His expertise is in Lifelong Machine Learning and Transfer Learning. He has published over 65 scientific papers and has co-chaired or been part of program committees for a number of national and international conferences, seminars and workshops on data mining and machine learning.
The Jodrey School of Computer Science prepares students for today’s ever changing world of technology in a unique, fully mobile computing environment. Students develop a thorough understanding of computer systems software, modern software design methods and computer systems software. Students in all degree programs complete a self-directed project during the course of their studies. This provides students with the opportunity to work closely with professors and to apply knowledge acquired through experiment and real-life application.