Ce cours aborde le champ de l'accompagnement entrepreneurial en contexte d'innovation. Il s'agit de se familiariser aux formes et techniques d'accompagnement pour entrepreneurs/intrapreneurs et permettre l'acquisition des habiletés requises pour de futurs professionnels impliqués dans l'écosystème.
La démarche entrepreneuriale est aujourd'hui suffisamment connue pour autoriser un apprentissage s'inscrivant de façon spécifique dans les différentes phases de création, de démarrage, ou encore de développement de projet. En revanche, l'accompagnement entrepreneurial demeure un champ récent dans la littérature et peu envisagé en termes de formation au métier. Ce cours vient donc combler ce besoin de mieux maîtriser les concepts et pratiques pour de futurs professionnels du soutien. Ce cours propose aux étudiants la réalisation d'un mandat d'accompagnement en situation réelle.
Themes covered
- Introduire à l'accompagnement entrepreneurial en contexte d'innovation.
- Connaître les concepts et méthodologies liés à l'accompagnement entrepreneurial.
- Comprendre les différentes postures possibles pour un accompagnement entrepreneurial (coaching mentorat individuel et de groupe).
- Définir des modalités d'actions pour un accompagnement entrepreneurial de l'entrepreneur/équipe en lien avec son écosystème.
- Définir et réaliser un mandat d'accompagnement entrepreneurial.
Important notes
Cours mutuellement exclusif(s) : MNGT 60415.
Vous ne pouvez pas vous inscrire à ce cours si vous avez postulé ou réussi le cours MNGT 60415 ou si le cours MNGT 60415 fait partie de votre structure.
The overall objective of this course is to make the participants aware of the importance of financial information, its components and its usage.
More specifiquely, the first part of the course will :
- Develop a better understanding of the components of the main financial statements.
- Gain a critical view on the measurement and reporting issues related to assets, liabilities, shareholder's equity, revenues and expenses.
- Apply some analytical tools of the financial statements of publicly traded companies and draw some conclusions on their financial soundness and performance.
- Develop critical perspective on financial information taking into account notion of ethic and earnings management.
The second part of the course will permit students to acquire knowledge on management tools such as:
- budgets
- the utility and functioning of a budget control process,
- the design of the budgetary control system as a function of the organizational strategy,
- cost-volume-benefit analysis
- the determination of cost behavior,
- balanced scorecards
- the development and use of financial and non financial performance measures.
Important notes
Course in French : COMP 40900
Equivalent course(s) : COMP 40940
This course is offered for the graduate overseas programs only.
Acquisition des principes de saine gestion de portefeuille pour les investisseurs individuels et institutionnels. Revue en détail des caractéristiques et besoins de différents fonds institutionnels pour l'établissement d'une politique de placement et d'un style de gestion.
Le cours voit également les modèles et principes utilisés pour établir des prévisions économiques.
Themes covered
1. Marchés obligataires.
2. Structures à terme des taux d'intérêt.
3. Stratégies de gestion.
4. Styles de gestion de portefeuille.
5. Courtage.
6. Éthique.
7. Scénarios économiques et stratégies.
Important notes
Cours réservé aux programmes de 2e cycle en professions financières, et D.E.S.S. en comptabilité professionnelle - CPA.
This course enables students to learn and practice advanced research concepts and methods in the field of user experience.
In this course, students will acquire advanced skills in user research. By taking into account the practical tools and theoretical concepts presented in this course, students will develop the skills necessary to implement a user research process adapted to the context and responding to the needs of the situation. To achieve this goal, they will use, in addition to traditional user research methods, more advanced user research methods (e.g. facial emotion analysis), while developing their skills to optimize the quantity and quality of information collected through to the use of these methods. Finally, the practice-oriented approach of the course will allow students to prepare for the realities of user research projects in academia or industry.
Themes covered
Define a user research problem and identify the research steps necessary to resolve the problem.
Identification of the advantages and disadvantages of data collection methods considering the needs of the research team and the context.
Implementation of quantitative and qualitative research methods to collect user data (eg interviews task analysis)
Data analysis particularly from advanced UX methods (eg facial emotions).
Development of practical tools for the creation and implementation of a UX research process taking into account issues related to the industry the organization and the research team.
Important notes
Course in French : MATH 60605 Préalable(s) : MATH 68105(A) ou 60620(A)
Cours mutuellement exclusif : MATH 60619(A) et MATH 60604(A) et MARK 60118(A)
Vous ne pouvez pas vous inscrire à ce cours si vous avez postulé ou réussi le cours MATH 60619(A) ou MATH 60604(A) ou MARK 60118(A)
Presentation and discussion of advanced methods in data analysis and statistical learning.
The theoretical concepts and ideas underlying these methods will be discussed in detail. The practical use of these methods will also be discussed using examples from several research areas in management. To this end, the language R will be the tool of choice as most recent methods appear in R.
Themes covered
- Regularization and variable selection in regression models
- Advanced tree-based methods and boosting
- Prediction intervals
- Analysis of functionnal data
- Analysis of spatial data
Important notes
Course in French : MATH 70611
Equivalent course(s) : MATH 60611(A), MATH 80619(A)
This course aims to introduce or review the essential mathematical concepts, techniques, and tools necessary for understanding scientific literature and conducting research activities in various fields of quantitative management.
The topics are presented, starting from basic notions, in increasing order of complexity. The range of concepts covered does not allow for in-depth exploration of each; the objective is rather to foster understanding of the concepts and to introduce the contexts in which they are used.
The course includes an introduction to the fundamental mathematical concepts required for advanced studies in quantitative management: terminology, functions, matrix notation, random variables, systems of equations, and calculus. It then presents the foundations of optimization (models and methods) and statistical data analysis (estimation, forecasting, inference).
Themes covered
Introduction and Foundations: Modeling and mathematical tools algebra sets proof techniques
Functions: Definition properties common functions time-dependent functions implicit functions
Matrix Notation and Algebra: Vectors matrices operations eigenvalues quadratic forms
Random Variables: Probability discrete and continuous variables density and distribution functions moments multivariate variables correlation
Systems of Equations: Solving linear and nonlinear equations analytical solutions numerical methods
Calculus: Derivatives differentiability Taylor series integrals numerical methods
Optimization: Modeling typology solution methods complementarity numerical techniques
Estimation: Research questions data sampling representativeness methods quality and asymptotic behavior
Forecasting: Inferential vs. predictive data analysis forecasting methods evaluation and validation
Statistical Inference: Model selection interpretability validation hypothesis testing
Important notes
Course in French : MATH 40604 Cours réservé aux étudiant(e)s admis à un programme du cheminement DES (ou au B.A.A. si le cours fait partie de la spécialisation).
This seminar recognizes the centrality of literature reviews in doctoral research preparation and aims at deepening and broadening students' understanding of what literature reviewing entails.
This seminar is intended for doctoral students in the fields of management, strategy, human resources, organizational development, accounting, marketing, information systems, entrepreneurship, innovation management, international business, and logistics and operations management, who are interested in broadening their knowledge of research synthesis methods and in receiving formal training in how to conduct and evaluate literature reviews. It complements a number of research methods (quantitative and qualitative) and theory building seminars currently offered in the joint doctoral program. Indeed, although literature reviews are important in research methods and theory building courses, they are not their primary object of study, as they are in this seminar.
Themes covered
Origins and centrality of the literature review as a research method
Research as conversation and types of scientific contributions
Initial exploration of the literature and the review protocol
Searching the literature
Screening studies
Extracting data and synthesizing findings
Big picture reviews
Reflective and critical reviews
Theory-driven reviews
Evidence-based reviews
Role of AI and Gen-AI in the conduct of literature reviews
Production planning is one of the important tasks done within the Operations Management function. It is a complex and challenging task. The course will provide an in-depth study of the main concepts, models and solution approaches in deterministic production planning (i.e. lot sizing).
The course focuses on creating an understanding of the planning problems and the solution approaches, with a focus on mixed integer programming approaches for lot sizing models. Attention is also given to various extensions of the basic lot sizing problem.
The course consists of the three following modules:
Part I: Overview of planning problems
Part II: Solution approaches (cutting planes, dynamic programming, Dantzig-Wolfe decomposition, Lagrange decomposition)
Part III: Extensions of models (multi-product, demand uncertainty, ...)
Themes covered
1. The hierarchy of planning
2. Single item lot sizing problems : models and solution approaches
3. Multi item lot sizing problems : models and solution approaches
4. Decomposition approaches for lot sizing problems (Lagrange decomposition and Dantzig-Wolfe decomposition)
5. Multi-level lot sizing problems
6. Heuristic approaches for lot sizing problems
7. Stochastic lot sizing problems
8. Machine scheduling
9. Production routing problems
10. Extensions of lot sizing problems
This course explores the fundamental approaches and theories of marketing research and examines the current problems, issues and debates prevailing in the discipline. It prompts students to contemplate possible dissertation topics, and to begin to lay the foundations of their research.
The main objective of the course is to offer an overview of the work of researchers in the department. It aims to expand students' horizons by favouring their exposure to the professors in the department and the various topics related to their research activities and expertise. The themes are regularly updated to reflect the evolution of researchers' projects and changes in faculty at the marketing department. They could include, but are not limited to:
a) Consumers' psychology and behaviors;
b) Sustainable consumption;
c) Branding
d) Institutional Theory and Market Dynamics;
e) Sales, Business to business (B2B) marketing; and
f) Current research trends and methods.
This course aims to help new students integrate in the program and get to know the professors who will supervise them, or with whom they can collaborate.
Themes covered
Themes could include but are not limited to:
a) Consumers' psychology and behaviors;
b) Sustainable consumption;
c) Branding
d) Institutional Theory and Market Dynamics;
e) Sales Business to business (B2B) marketing; and
f) Current research trends and methods.
This course alternates between theory and practical workshops to train specialists in UX design. Students will experience the complete life cycle of an artifact in partnership with an organization and will leave the course with a comprehensive understanding of the UX methodologies and tools required for the collaborative design of a digital product or service.
This course aims to consolidate all theoretical knowledge acquired in the program by applying it to a real-life case study. In this course, students will develop the key skills of user experience professionals that are necessary for the collaborative design of a digital artifact (e.g., a website, mobile application, information system) from problem identification to solution conceptualization. Through a comprehensive approach, combining fundamental theories of user experience understanding with the application of multiple user-centered design methods and tools, students will mobilize their knowledge, skills, and abilities to design and develop a complete digital artifact. In doing so, they will apply advanced UX design techniques while building their UX portfolio.
Themes covered
Strategic positioning of UX within organizations and how to "sell yourself" as a UX professional.
Multi-method approach to gathering and synthesizing design requirements
User-centered design in collaboration with design team members and end users
Management and organization of information to be made available on the digital artifact (i.e. information architecture)
Implementation of iterative and agile digital interface design from prototype to increasingly advanced versions.
Reflection on the role of artificial intelligence in the UX profession and its use in UX research and design.
Important notes
Course in French : TECH 60707 Préalable(s) : TECH 60751(A)
Cours mutuellement exclusif(s): TECH 60704(A)
Vous ne pouvez pas vous inscrire à ce cours si vous avez postulé ou réussi le cours TECH 60704(A), ou si le cours TECH 60704(A) fait partie de votre structure.
The course aims to equip students with a holistic view of the evaluation lifecycle, from managing client relationships and defining project mandates to conducting a UX evaluation on behalf of a client and generating design recommendations.
In this course, students will develop the core competencies of user experience professionals required to engage in the evaluation of a digital artifact (e.g., website, mobile application, information system). Combining a multi-method approach with a variety of measurement instruments, students will mobilize their requisite knowledge, skills, and abilities through a hands-on, collaborative approach in planning, executing, evaluating, and reporting on a complete design and development of a digital artifact. In doing so, they will be applying advanced UX evaluation techniques, while developing their skills competencies in managing client relations.
Themes covered
Multi-method approach in UX evaluation
User-centered evaluation in collaboration with stakeholders including team members clients and end users
Implementation of an agile evaluation process for testing a digital artifact
Development of evaluation protocols implementation of UX assessments interpretation of collected data and generation of takeaways for the benefit of clients
Advanced evaluation paradigms (e.g. accessibility; conformity; quality assurance) and methodology (e.g. remote testing and neuroscientific testing)
Management of the evaluation lifecycle
Innovations in UX evaluation.
Important notes
Course in French : TECH 60709 Préalable(s) : TECH 68104(A) Co ou TECH 60750(A) Co
Cours mutuellement exclusif(s) : TECH 60764(A)
Vous ne pouvez pas vous inscrire à ce cours si vous avez postulé ou réussi le cours TECH 60764(A) ou si ce cours fait partie de votre structure.
This course enables students to learn and practice advanced research concepts and methods in the field of user experience.
In this course, students will acquire advanced skills in user research. By taking into account the practical tools and theoretical concepts presented in this course, students will develop the skills necessary to implement a user research process adapted to the context and responding to the needs of the situation. To achieve this goal, they will use, in addition to traditional user research methods, more advanced user research methods (e.g. facial emotion analysis), while developing their skills to optimize the quantity and quality of information collected through to the use of these methods. Finally, the practice-oriented approach of the course will allow students to prepare for the realities of user research projects in academia or industry.
Themes covered
- Define a user research problem and identify the research steps necessary to resolve the problem.
- Identification of the advantages and disadvantages of data collection methods considering the needs of the research team and the context.
- Implementation of quantitative and qualitative research methods to collect user data (eg interviews task analysis)
- Data analysis particularly from advanced UX methods (eg facial emotions).
- Development of practical tools for the creation and implementation of a UX research process taking into account issues related to the industry the organization and the research team.
Important notes
Course in French : MARK 60132 Préalable(s) : MARK 68101(A) ou MARK 60120(A)
Cours mutuellement exclusif(s): MARK 60118(A)
Vous ne pouvez pas vous inscrire à ce cours si vous avez postulé ou réussi le cours MARK 60118(A), ou si le cours MARK 60118(A) fait partie de votre structure.
Ce cours est conçu pour aider les étudiantes et étudiants à comprendre les opportunités et les contraintes auxquelles sont confrontées les entreprises de toutes tailles implantées à l'étranger. Il permet aux étudiantes et étudiants de mieux comprendre le contexte actuel de la gestion internationale et d'identifier les défis associés à l'élaboration et au déploiement d'une stratégie internationale
Les entreprises ont progressivement étendu leurs opérations à l'étranger grâce à la libéralisation des échanges et aux nouvelles technologies. Cependant, la montée du protectionnisme, les tensions géopolitiques, climatiques et sanitaires posent de nouveaux défis. Les entreprises, établies à l'étranger ou envisageant de s'y aventurer, doivent réinventer leur stratégie et s'adapter aux économies émergentes. À la fin de ce cours, les étudiantes et étudiants auront une compréhension générale du paysage mondial auquel les entreprises sont confrontées, et concevront la façon dont les entreprises internationales définissent leur stratégie et sont gérées. Le cours se divise en deux parties : 1. Définition d'une stratégie internationale, y compris l'emplacement des activités et les modes d'entrée sur les marchés cibles. 2. Gestion des entreprises et de leurs filiales à l'étranger, en abordant la structure, le déploiement de stratégies internationales, l'adaptation aux marchés émergents, la légitimité et la gestion des risques pris.
Themes covered
La mondialisation
Les institutions internationales
La distance entre les pays et le handicap de l'étranger
L'avantage compétitif de l'entreprise internationale
Le choix de la localisation
Les modes d'entrées
Les modèles organisationnels des entreprises internationales
Les marchés émergents
L'entreprise internationale et les stratégies non marchandes
La gestion de l'incertitude au niveau du pays
Important notes
Cours en anglais : INTE 10000A
Cours en espagnol : INTE 10000E