Projets novateurs réalisés

Explorez des milliers de projets réussis issus de la collaboration entre organisations et talents postsecondaires.

31 620 projets complétés

2978
AB
5221
C.-B.
856
MB
696
NL
899
SK
9419
ON
9858
QC
98
PE
619
NB
1192
NS

Projets par catégorie

Financial Analysis Intern

The project will include a capital investment analysis for new equipment and production cost analysis for in-house products and resale products. The capital investment analysis includes a return on investment analysis for various new pieces of packaging, injection, and smokehouse equipment while considering equipment, labour, and maintenance costs. The analysis will examine the profitability of new equipment, leading to an investment decision that may impact labour allocation in the production processes. The production cost analysis includes the development of standard production costs for the Old Port product line, the review of pricing and margins for the Old Port product line, and an analysis of pricing and gross margins of resale products. The product pricing analysis will identify optimum selling points that increase revenue while maintaining consumer demand. It may also identify opportunities to increase specific product volumes and products that should be dropped entirely.

Voir la description complète du projet
Superviseur du corps professoral :

Ash Hossain

Étudiant :

Partenaire :

Terra Nova Old Port Foods

Discipline :

Business

Secteur :

Manufacturing

Université :

Memorial University of Newfoundland

Programme :

Business Strategy Internship

Equity, Diversity, & Inclusion Intern

Equity, Diversity, & Inclusion Intern for Liberty Mutual Canada

Voir la description complète du projet
Superviseur du corps professoral :

Yolande Chan

Étudiant :

Partenaire :

Liberty Mutual Canada

Discipline :

Business

Secteur :

Finance and Insurance

Université :

Queen's University

Programme :

Business Strategy Internship

Genus Capital Management Inc. – ESG/Fintech Analyst

Like many businesses, we are investing in strategy and technology to market to, sell to, onboard, and service prospects and clients in a remote and digital reality.
For investment services this will include expanded social media and content strategies, communication techniques such as webinar/podcast, fintech implementation to replace paper forms and ID verification, better advisor and client dashboards, and more. Much of this was underway pre-COVID, but the pandemic has accelerated adoption and acceptance of the work. It has also significantly increased the importance.

Voir la description complète du projet
Superviseur du corps professoral :

Martin Halek

Étudiant :

Partenaire :

Genus Capital Management

Discipline :

Business

Secteur :

Finance and Insurance

Université :

University of Calgary

Programme :

Business Strategy Internship

Code F. (stage 1) FSA UL

Dans un contexte de pandémie causée par la Covid-19, l’entreprise Code F. se doit d’opérer un pivot de son modèle d’affaires afin d’adapter ses solutions aux besoins de la clientèle et de sa communauté.
Pour cela, nous allons créer 2 structures: une OBNL (Code F. Santé financière pour tous) et une Fintech (Code F. Technologies financière) pour mieux réorganiser et relancer nos activités. L’objet de ce stage est de nous aider à bien positionner ces 2 structures dans leurs marchés respectifs et l’une par rapport à l’autre. Pour ce faire, il faudra retravailler le modèle d’affaires de Code F. et sa stratégie d’entreprise.
Ce pivot de modèle d’affaires se traduisant par un changement de la structure organisationnelle et par un virage technologique et numérique, l’étudiante devra réaliser une analyse stratégique afin d’aider l’organisation à adapter ses activités et solutions dans le contexte actuel de pandémie, de même que pour le futur.

Voir la description complète du projet
Superviseur du corps professoral :

Margaret Schomaker

Étudiant :

Partenaire :

Code F

Discipline :

Business

Secteur :

Finance and Insurance; Professional, scientific and technical services

Université :

Université Laval

Programme :

Business Strategy Internship

BSI Internship Application with Trust Science

The most important and immediate need for the marketing function is to gain “thought leadership” for Trust science as a company, its credit bureau 2.0 ® Fintech SaaS, and for its Founder CEO, Evan Chrapko, as a leader in the industry. After Evan was named as a “Leader in Lending” by the Canadian Lenders’ Association in Toronto 12 months ago and the company was graced by an industry-specific trade magazine as one of the “Smartest Companies to Watch” in the sector, we believe that there is a strong need to promote Trust Science’s capabilities to Executives who are in charge of lending & risk-mitigation at financial institutions. Additionally, the project will focus on locating and bringing in Marketing Qualified Leads (MQL) that the sales organization can then determine to be Sales Qualified Leads (SQL). Establishing “Thought Leadership” can assist with these needs, but so can activities like Account Based Marketing (ABM) and various electronic/virtual outreach avenues (given that physical trade shows are not currently possible). Taken together, the above prime directives for marketing will rapidly attract prospective customers to engage with Trust Science and aid in shortening any resulting sales cycle.

Voir la description complète du projet
Superviseur du corps professoral :

Michael Maier

Étudiant :

Partenaire :

Trust Science Inc.

Discipline :

Business

Secteur :

Finance and Insurance

Université :

University of Alberta

Programme :

Business Strategy Internship

Kerby Centre – Business Digitization Intern

We would like our student to explore opportunities for us to use software or other programs to digitize some of the work that is currently done on paper. This might include client case histories, services rendered, reporting to funders, measuring outcomes and impact and many other areas we have yet to explore.

Voir la description complète du projet
Superviseur du corps professoral :

Martin Halek

Étudiant :

Partenaire :

Unison

Discipline :

Business

Secteur :

Other

Université :

University of Calgary

Programme :

Business Strategy Internship

An Integrated Software Suite for Rail Condition Analysis using Machine Learning

Rail transit and freight rail properties apply rail grinding to maintain rail condition and ensure satisfactory performance of rail infrastructure systems. The proposed research investigates and applies a variety of computationally intelligent algorithms to establish useful relationships between rail corrugation, noise generation, and vibration. These relationships will support more timely and effective rail grinding interventions. The algorithms will process real-world rail corrugation, noise, and vibration data collected from three rail transit properties in North America. The long-term research goal is the development of a generic and transferrable rail corrugation index, which will help rail maintenance practitioners determine when rail corrugation is likely to generate unacceptable noise and vibration. Consequently, the research directly supports rail and vehicle asset management programs, helps reduce noise irritation for passengers and citizens in the vicinity of rail transit lines, and improves ride quality.

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Superviseur du corps professoral :

Ian Jeffrey;Jonathan Regehr

Étudiant :

Partenaire :

Advanced Rail Management

Discipline :

Engineering

Secteur :

Professional, scientific and technical services; Transportation and warehousing

Université :

University of Manitoba

Programme :

Accelerate

Exploring the effectiveness of a pilot parasport coach mentorship program.

Informal learning involves acquiring knowledge outside of a structured setting in which
learning is self-directed and developed from experience, exposure, and interactions with their
environments (Nelson et al., 2006). Examples of informal coach learning includes experience
as an athlete, coach observation, self-reflection, reading books, exploring the internet, and
learning from experts or mentors in the field (Fairhurst et al., 2017; Taylor et al., 2014).
Mentorship has been considered and utilized as an informal learning opportunity where coaches
seek out more experienced professionals in their field to shadow and learn from (Bloom, 2013;
Kram, 1985; Ragins & Kram, 2007). One of the first studies on coach mentorship in parasport
was conducted by Fairhurst and colleagues (2017) who interviewed six Canadian Paralympic
coaches on their experiences with formal and informal learning opportunities. The results
revealed that four out of six coaches had a mentor, three of which were informal relationships
and one from a formal mentorship program, and all coaches acted as mentors throughout their
careers. Coaches described learning highly-specialized parasport-specific skills from their
mentors, such as information pertaining to the physiology of their athletes’ disability and
developing a parasport training program, and considered this relationship to be their most
significant learning experience.

Voir la description complète du projet
Superviseur du corps professoral :

Gordon Bloom

Étudiant :

Partenaire :

Coaches Association of Ontario

Discipline :

Life Sciences

Secteur :

Arts, entertainment and recreation

Université :

McGill University

Programme :

Accelerate

Virtual Hamilton

This research project entails the development and user study assessment of a prototype participatory urban planning tool for the City of Hamilton (Virtual Hamilton), which integrates GIS data with a 3D virtual city model to facilitate stakeholder visualization, collaboration, content contribution, and communication. In consultation with City of Hamilton ward councilors and urban renewal, planning and economic development officials, Barton Street and Kenilworth Ave, areas of the downtown, slated for significant redevelopment activity, were selected as appropriate sites to be included in the development of a prototype virtual city model in partnership with McMaster University. The feasibility of developing the virtual city prototype has been considered and ensured by its limitation to a small subsection of the City of Hamilton and its utilization of a prepared virtual world platform and access to GIS expertise and data.

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Superviseur du corps professoral :

David Harris Smith

Étudiant :

Partenaire :

City of Hamilton

Discipline :

Computer science

Secteur :

Public administration

Université :

McMaster University

Programme :

Accelerate

Effects of sedation with dexmedetomidine-butorphanol and general anesthesia (propofol-isoflurane) on the Feline Grimace Scale scores

The Feline Grimace Scale is a validated tool that uses changes in facial expressions for acute pain assessment in cats. The tool is a valid, reliable, sensitive and specific for feline acute pain recognition for various types of painful conditions (www.felinegrimacescale.com). The aim of this research project is to assess the effects of sedation and general anesthesia on the Feline Grimace Scale scores in cats. Based on our clinical experience, we hypothesize that sedation and general anesthesia will significantly increase the FGS scores when scores are compared with saline (no sedation) or before general anesthesia (controls). This investigation could represent a significant advance in feline pain management, considering the residual effects of sedatives and anesthetics could be a major bias/confounder in pain assessment affecting clinical decisions in feline practice. Indeed, veterinarians do not always know if changes in facial expressions after surgery, for example, are due to pain or the administration of sedatives and anesthetics. This study may provide important insights in the field of pain relief contributing to feline health and welfare.

Voir la description complète du projet
Superviseur du corps professoral :

Paulo Steagall

Étudiant :

Partenaire :

Federal University of Parana

Discipline :

Life Sciences

Secteur :

Health and Related Sciences & Technology; Education

Université :

Université de Montréal

Programme :

Globalink Research Award

Detecting noise and artifact in CW ultrasound signal processing using machine learning and cloud-based tools

Continuous wave (CW) ultrasound systems are extremely sensitive to movement, noise, and artifacts of reflective tissues within the body that return doppler ultrasound signals to the receiver. In the application of CW ultrasound to clinical applications, classifying and handling noise/artifacts is essential for broad clinical adoption. A machine learning (ML) algorithm is commonly used for pattern recognition of large sets of data, such as physiological signals, and it has been used recently for biomedical applications. Moreover, cloud computing allows the execution of large and complex calculations without the need for expensive or dedicated hardware. The aim of this project is to develop cloud-based computing tools in the Python programming language that will annotate, classify, and label physiological signals. These annotations and labeled signals will then inform and feed digital and ML signal processing methods. Furthermore, process automation for new incoming data and quality assurance checks for the remotely acquired signals will also be developed as cloud-based tool.

Voir la description complète du projet
Superviseur du corps professoral :

Jeremy Brown

Étudiant :

Partenaire :

Flosonics Medical

Discipline :

Engineering

Secteur :

Manufacturing

Université :

Dalhousie University

Programme :

Accelerate

Enabling Transactive Energy Markets using Blockchain-Based Distributed Ledger Technologies

In this project, we propose the use of blockchains to provide reliability, security, and transparency for collecting and querying IoT data in the energy sector. In particular, we will implement and evaluate our blockchain solution for enabling transactions in local energy markets, where homeowners have the capacity to generate energy (through renewables), stock energy (through electrical vehicle batteries), and consume energy. We will investigate various energy-related use cases and assess their relevance for Hydro-Quebec, as well as determine the added value of using a blockchain solution. We will then build a prototype, using open source blockchain software, to realize a studied use case using smart contracts. Finally, we will evaluate our prototype using a combination of public and cloud networks, in order to assess the challenge gaps surrounding the current systems, and further identify further research opportunities to improve the applicability and reliability of blockchain technology.

Voir la description complète du projet
Superviseur du corps professoral :

Kaiwen Zhang

Étudiant :

Partenaire :

Hydro-Quebec (Shawinigan, QC)

Discipline :

Computer science

Secteur :

Professional, scientific and technical services; Utilities

Université :

École de technologie supérieure

Programme :

Accelerate

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Mitacs — Retour sur innovation

Mitacs est financé par le gouvernement du Canada, le gouvernement de l’Alberta, le gouvernement de la Colombie-Britannique, Research Manitoba, le gouvernement du Nouveau-Brunswick, le gouvernement de la Nouvelle-Écosse, le gouvernement de l’Ontario, Innovation PEI, le gouvernement du Québec, le gouvernement de la Saskatchewan, le gouvernement de Terre-Neuve-et-Labrador et le gouvernement du Yukon.