Posting Reason:

New Position

Location:

Main Campus

Academic Period:

2027 Winter Semester

Faculty:

Faculté des sciences sociales / Faculty of Social Sciences

Academic Unit:

École de développement international et mondialisation \\ School of International Development and Global Studies

Course Title:

Raisonnement quantitatif en développement international

Course Code:

DVM3570

Section:

A00

Course Description:

DVM 3570 Raisonnement quantitatif en développement international (3 crédits)
Introduction à l'utilisation des données et à l'analyse statistique de base en développement international. Vue d'ensemble des données, des sources de données et des mesures quantitatives de base du développement: ratios, pourcentages, indices (par exemple, l'indice de développement humain et ses variantes); mesures du revenu national, des inégalités, de la pauvreté; et des indicateurs de base relatifs à la démographie, la santé, l'éducation et l'environnement. Introduction aux statistiques descriptives, aux statistiques inférentielles de base et aux techniques de base de représentation de données (principalement à l'aide d'Excel).

Volet : Cours magistral

Préalables: SCS 2550, DVM 2505, DVM 2506. Les cours DVM 3570, SOC 3542 ne peuvent être combinés pour l'obtention de crédits.

Horaire du cours:
Mardi : 8:30-9:50 et Vendredi: 10:00-11:20
*** Veuillez noter que ce cours sera donné en personne ***

Posting limited to:

Professeur à temps-partiel régulier / Regular Part-Time Professor

Date Posted (YYYY/MM/DD):

2026/05/01

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

2026/06/01

Expected Enrolment:

88

Approval date:

2026/05/01

Number of credits:

3

Work Hours:

39

Hourly Rate:

Enseignement / Teaching: $239.47 (2024-2025)

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:

B

Posting type:

Régulier / Regular

Language of instruction:

Français | French

Competence in second language:

N/A

Course Schedule:

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

Requirements:

La priorité sera accordée aux candidat.es qui maîtrisent les fonctions d'analyse statistique de base d’Excel, qui sont familier.ères avec différentes sources en lien avec le développement (tant au niveau national qu'au niveau des enquêtes), ainsi qu’avec les débats entourant les indicateurs de revenu national, de pauvreté, les inégalités et d'autres dimensions du développement. Des capacités plus avancées 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 être appliquées à des cas spécifiques (en matière de visualisation des données 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.