Description
This course is an introduction to ubiquitous sensing systems for intelligently coordinated and efficient cities and spaces.
Three primary foci will be on smart cities sensing, reliable sensory data acquisition, and security and privacy in smart city sensing systems.
Topics will include : a thorough presentation of sensor and actuator networks for smart cities, software-defined Internet of Things, vehicular sensing, social sensing, detailed investigation of opportunistic and participatory sensing solutions, sensing as a service, and security and privacy assurance in smart city services by using artificial intelligence methods.
An emphasis will be given on the design and analysis of multi-purposed, non-dedicated and large-scale sensing systems along with the trustworthiness, reliability, security and efficiency requirements of smart city services.
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 :
Mardi Tuesday 14 : 30-17 : 30 - -
Requirements :
Excellente connaissance du contenu du cours, démontrée par l'enseignement de cours similaires, ou par expérience d'emploi pertinente.
Les candidats doivent être licenciés en tant qu'ingénieur professionnel. Postulants réguliers doivent avoir obtenu un doctorat et il devrait être obtenu dans un domaine pertinent à la matière du cours, particulièrement quand le cours soit plus spécialisé (ou expérience du travail dans un domaine relié après avoir obtenu leur doctorat).
Merci d’inclure dans votre candidature votre numéro de votre permis, et la province d’obtention.
Il est exigé que le professeur à temps partiel qui enseigne ce cours assiste aux tutoriels, au moins une heure par semaine (en moyenne).
En contrepartie, ce contrat inclut un paiement de 52 heures (au lieu des 39 heures habituelles).
Veuillez noter que ce cours sera dispensé par le mode d’enseignement EN PRÉSENTIEL.
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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