*Note: This course description is only applicable for the Computer Science Post-Baccalaureate program. Additionally, students must always refer to course syllabus for the most up to date information.

In this three-course specialization, you’ll build a strong mathematical foundation in probability, statistics, and basic stochastic processes with direct applications to data science and AI. You’ll ...

At SLU, mathematics courses are organized so that engineering and physics students can easily strengthen their degree programs by getting a minor or second major in mathematics. Since SLU’s ...

The information presented here is intended to describe the course goals for current and prospective students as well as others who are interested in our courses. It is not intended to replace the ...

This course provides a rigorous introduction to calculus-based probability and statistical theory, with applications primarily drawn from engineering and the environmental sciences. Topics include: ...

Extra Help: The Statistics Workshop is run by Marie Loughin and she can be contacted through email at mloughin@sfu.ca. The Statistics Workshop is an excellent resource for STAT 270. The workshop is ...

The MSc in Statistics provides intensive training in statistics applicable to the social sciences, economics and finance. The aim of the programme is to foster an interest in theoretical and applied ...

A statistics major prepares students to use data to confront real-world problems. Statistics is relevant to topics ranging from disease prevention to storm prediction, and learning how to collect and ...

Course planning information Course notes Access to a Computer with Excel is required. Expected prior learning Students must have a good grounding in basic maths. It is strongly recommended that ...