我们提供多个学科的课程和研究机会，包括人工智能，数据库系统，计算机游戏，机器学习，机器人技术，软件工程，人工人机界面，生物信息学，通信网络，算法，计算机图形学，计算机视觉，软件系统，人机交互，互联网络和多媒体。我们的教师所做的工作获得了许多赞誉，这是北美一些最聪明的人。作为加拿大顶尖的研究密集型计算机科学系之一，它是攻读研究生的绝佳去处。艾伯塔大学计算机科学系不断为该领域做出重要贡献。我们的老师-北美一些最聪明的人所做的工作获得了无数赞誉。作为加拿大最高的研究密集型计算机科学系之一，它是追求研究生水平学习
The field of machine learning provides tools and technologies for finding significant patterns in data, such as the correlations between the results of clinical tests and treatment success. It is most appropriate in information processing situations where training data (such as a database of case studies) is available and it is difficult (or not cost effective) to engineer in the solution.<br><br>Machine learning is a proven technology that has had significant impact on both industry and science. There are numerous successful applications of machine learning related to health information, the oil industry, gene identification and chemical process control, to name a few.<br><br>This group has close ties to the areas of many related areas, including bioinformatics, database and data mining, and vision and robotics. Graduate students may be interested in a graduate specialization in Statistical Machine Learning (a joint program with Mathematics and Statistical Sciences).