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APTPUO - Spring​/Summer - DCN-A00

Job in Ottawa, Ontario, Canada
Listing for: University of Ottawa
Part Time, Seasonal/Temporary position
Listed on 2026-03-05
Job specializations:
  • Education / Teaching
    University Professor, Academic
Job Description & How to Apply Below
Position: APTPUO - Spring/Summer 2026 - DCN1101-A00

Description

:

Introduction to the fundamentals of using technology for university-level studies. The course explores various topics related to the evaluation of information, media and technology; works toward an understanding of digital media within multiple contexts; examines the role of digital media in shaping beliefs and practices in society. Development of technical skills, including computer operations, file management, spreadsheets, and search strategies.

Posting limited to:

Professeur à temps-partiel étudiant / Student Part-Time Professor

Date Posted (YYYY/MM/DD):

2026/02/16

Applications must be received
BEFORE (YYYY/MM/DD):

2026/03/19

Expected Enrolment:

90

Approval date:

2026/02/16

Number of credits:

3

Work Hours:

39

Hourly Rate:

Enseignement / Teaching: $239.47 )

The academic year starts on September 1 and ends on August 31.

These rates do not included vacation pay nor statutory pay.

These rates will be applied until a new collective agreement is ratified. Retro will be paid after the ratification.

Course type:

C

Posting type:

Régulier / Regular

Language of instruction:

Anglais | English

Competence in second language:

Passive

Course

Schedule:

- - - Asynchronous

Requirements:

PhD in Communication, History or other Arts discipline with specialization in digital cultures/digital humanities methodologies. This course requires expertise in digital literacy, with knowledge of current issues, debates, and trends related to information and media literacy, data literacy, and algorithmic literacy. This includes experience working with a range of digital tools and methods to find, evaluate, and communicate information (search engines, online databases, citation management tools, fact-checking websites), to prepare and manage datasets for analysis (spreadsheets, Open Refine, Git and Git Hub), undertaking various forms of data analysis and visualization (spreadsheets, Nvivo, Timeline JS, ArcGIS, ESRI Maps, HTML, TEI.xml,

Voyant Tools) required to critically evaluate algorithmic systems. Experience teaching these tools and leading collaborative digital research projects is required.

Course delivery mode:
Asynchronous

Course and exam dates

Course:
May 4 to June 12

Exam:
June 15 to June 17

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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