APTPUO - Hiver 2026 - DVM 3570 A00

Location:

Main Campus

Session:

2026 Winter Semester | Trimestre d'hiver

Faculty:

Faculte des sciences sociales / Faculty of Social Sciences

Unit:

School of International Development and Global Studies_PT

Course Title:

Raisonnement quantitatif en developpement international

Course Code:

DVM 3570

Section:

A00

Course Description:

DVM 3570 Raisonnement quantitatif en developpement international (3 credits)

Introduction a l'utilisation des donnees et a l'analyse statistique de base en developpement international. Vue d'ensemble des donnees, des sources de donnees et des mesures quantitatives de base du developpement: ratios, pourcentages, indices (par exemple, l'indice de developpement humain et ses variantes); mesures du revenu national, des inegalites, de la pauvrete; et des indicateurs de base relatifs a la demographie, la sante, l'education et l'environnement. Introduction aux statistiques descriptives, aux statistiques inferentielles de base et aux techniques de base de representation de donnees (principalement a l'aide d'Excel).

Volet : Cours magistral

Prealables: SCS 2550, DVM 2505, DVM 2506. Les cours DVM 3570, SOC 3542 ne peuvent etre combines pour l'obtention de credits.

Posting limited to:

Professeur a temps-partiel etudiant / Student Part-Time Professor

Date Posted:

May 01, 2025

Applications must be received BEFORE :

June 01, 2025

Expected Enrolment:

74

Approval date:

May 01, 2025

Number of credits:

3

Work Hours:

39

Course type:

B

Posting type:

Regulier / Regular

Language of instruction:

Francais | French

Competence in second language:

Active

Course Schedule:

Mardi | Tuesday 8:30-10:00 Vendredi | Friday 10:00-11:30 -

Requirements:

La priorite sera accordee aux candidat.es qui maitrisent les fonctions d'analyse statistique de base dExcel, qui sont familier.eres avec differentes sources en lien avec le developpement (tant au niveau national qu'au niveau des enquetes), ainsi quavec les debats entourant les indicateurs de revenu national, de pauvrete, les inegalites et d'autres dimensions du developpement. Des capacites plus avancees en codage ou en analyse statistique (comme la connaissance des SIG ou de logiciels libres tels que R ou Python) constituent un avantage et peuvent etre appliquees a des cas specifiques (en matiere de visualisation des donnees par exemple).

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. 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.