Location:Main CampusSession:2025 Trimestre d'hiver | Winter TermFaculty:Faculté de génie / Faculty of EngineeringUnit:School of Engineering Design and Teaching Innovation_PTCourse Title:VISUALISATION&ANAL.DONNÉESCourse Code:SED1516Section:ACourse Description:We are seeking a part-time professor to teach a course in an introduction data analytics and visualizations for students in the Bachelors of Multidisciplinary Design program in the Faculty of Engineering, with a focus on Excel and Power BI.Responsibilities:•Develop and deliver engaging lectures on data analytics and visualization techniques•Create hands-on exercises using Excel and Power BI•Assess student performance through assignments and projects•Provide constructive feedback to support student learning•Hold office hours to assist students outside of class timePosting limited to:Professeur à temps-partiel régulier / Regular Part-Time ProfessorDate Posted:November 27, 2024Applications must be received BEFORE:December 18, 2024Expected Enrolment:77Approval date:November 27, 2024Number of credits:3Work Hours:39Course type:BPosting type:Irrégulier / IrregularLanguage of instruction:Français | FrenchCompetence in second language:PassiveCourse Schedule:Mardi | Tuesday 13:00-14:30 Jeudi | Thursday 11:30-13:00 -Requirements:Master's degree or higher in Data Science, Statistics, or related fieldFluency in French (written and spoken)Proven teaching experience at the post-secondary levelExtensive knowledge of data analytics and visualization principlesKnowledgeable in statistics.Skilled in databases manipulation and database structuresComfortable navigating multiple open data sources.Proficiency in Excel and Power BIStrong communication and interpersonal skillsPreferred Qualifications:Industry experience in data analytics or business intelligenceFamiliarity with other data visualization tools (e.g., Tableau, R, PythonAdditional 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. If you are invited to continue the selection process, please notify us of any adaptive measures you might require. Information you send us will be handled respectfully and in complete confidence. Employees are required under provincial law to successfully complete all mandatory legislated training. The list of training may be modified by provincial law.The hiring process will be governed by the current APTPUO collective agreements; you can click here for the main unit, here for the OLBI unit, or here for the Toronto/Windsor unit to find out more.The University of Ottawa embraces diversity and inclusion in the workplace. We are passionate about our people and committed to employment equity. We foster a culture of respect, teamwork and inclusion, where collaboration, innovation, and creativity fuel our quest for research and teaching excellence. While all qualified persons are invited to apply, we welcome applications from qualified Indigenous persons, racialized persons, persons with disabilities, women and LGBTQIA2S+ persons. The University is committed to creating and maintaining an accessible, barrier-free work environment. The University is also committed to working with applicants with disabilities requesting accommodation during the recruitment, assessment and selection processes. Applicants with disabilities may contact vra.affairesprofessorales@uottawa.ca to communicate the accommodation need. All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority.Prior to May 1, 2022, the University required all students, faculty, staff, and visitors (including contractors) to be fully vaccinated against Covid-19 as defined in Policy 129 – Covid-19 Vaccination. This policy was suspended effective May 1, 2022 but may be reinstated at any point in the future depending on public health guidelines and the recommendations of experts.