Description
- Big data, analytics, and cloud computing; data preparation : organization, basic statistics, cleaning, and integration;
- data mining techniques : pattern mining, classification, clustering, outlier and anomaly detection; model evaluation; data warehousing and multi-dimensional analysis;
data visualization and visual data analytics.
Posting limited to :
Professeur à temps-partiel régulier / Regular Part-Time Professor
Date Posted : May 07, 2024
May 07, 2024
Closing Date : June 10, 2024
June 10, 2024
Note : Applications will be accepted until 11 : 59 PM on the day prior to the Posting End Date above
Expected Enrolment : n / a
n / a
Approval date : May 07, 2024
May 07, 2024
Number of credits : Work Hours :
Work Hours : Course type :
Course type : Posting type :
Posting type : Régulier / Regular
Régulier / Regular
Language of instruction :
Anglais English
Competence in second language :
Passive
Course Schedule :
Mecredi Wednesday 10 : 00-11 : 30 Vendredi Friday 8 : 30-10 : 00 -
Requirements :
Excellent knowledge of course subject matter, demonstrated by having taught similar or related courses, or demonstrated by relevant work experience.
Regular applicants must have a doctorate and it should be in a field related to the course (especially in the case where the course is more specialized), if not, they must have a relevant work experience in a field related to the course, after having obtained their Ph.D.
Please note that the teaching method for this course will be delivered : IN PERSON.
Additional Information and / or Comments :
An acceptable level of education and / or experience could be viewed as being equivalent to the educational required and / or demonstrated experience.
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