Course DescriptionThis course will be based on a hands-on application of data mining and deep learning techniques in a project setting. The advanced capstone course is intended to bring advanced data analytics methods, techniques and approaches and apply them to a real-world area of interest. Working with a faculty supervisor, participants will apply what they have learned in the two courses and implement their analysis through Python and AI Platform.
The deadline to enroll in CIND860 for Winter term is January 14, 2022.
Students will also not be allowed to swap between sections of the Data Analytics courses after January 14, 2022.
You must download the X2Go Client and Microsoft Remote Desktop in order to access the software needed to complete the requirements for this course. Prior to your first class, you are strongly advised to test the computer you plan to use, as machines operated using a third-party administrator (such as laptops provided by a workplace) may not allow access to the required software/download(s).
International students should use their own virtual private network (VPN) software to connect to University resources.
RequisitesPrerequisite: CIND 850
- Practical Data Science and Machine Learning : Required