Description: Julia is becoming increasingly popular for scientific computing. One may use it for prototyping as Matlab, R and Python for productivity, while gaining the same performance as compiled languages such as C/C++ and Fortran. The language is designed for both prototyping and performance, as well as simplicity. This is an introductory course on julia. Students will be able to get started quickly with the basics, in comparison with other similar languages such as Matlab, R, Python and Fortran and move on to learn how to write code that can run in parallel on multi-core and cluster systems through examples.
There are five homework assignments., each has a full mark of 2 points. Participants who complete the assignments and receive a passing grade of 80% (8 points) will receive a certificate of completion. No certificates of attendance will be issued for this course.
Teacher: Ed Armstrong, (SHARCNET, University of Guelph), Ge Baolai (SHARCNET, Western University)
Level: Introductory
Format: Lecture + Hands-on
Certificate: Completion
Prerequisites: None