Alberta and Montana Transportation Data Framework Projects

The main goal for the project is to develop a framework to capture data from public sources such as cities, counties, provinces, and federal government transportation departments in Canada. The data will then be organized, analyzed, and provided as regular updates to transportation designers and engineers within the public and private sector. This will involve several different steps for the team, including: - Collaborating with transportation departments to understand data sources and formats. - Designing and implementing a data capture framework that can collect and organize data from multiple sources. - Developing an analysis platform to process and analyze the captured data. - Creating a user interface for transportation designers and engineers to access and utilize the analyzed data. - Establishing a regular update schedule for the data to ensure it remains current and relevant.

Sponsorship Attraction Strategy for ITRD

Integrated Travel Research and Development (ITRD) is seeking to enhance its research efforts in transportation, net-zero technologies, regional economic development, and the socio-economic benefits of frequent, affordable, and reliable passenger rail services to rural and indigenous communities. To achieve this, ITRD needs to attract corporate, private, and public sponsorship. The goal of this project is to develop a comprehensive sponsorship attraction strategy that highlights the value and impact of ITRD's research initiatives. The project will involve analyzing potential sponsors, crafting compelling sponsorship proposals, and creating a marketing plan to engage and secure sponsorships. This will enable ITRD to continue its vital research and contribute to sustainable and equitable transportation solutions.

Building Information Modelling (BIM) - Creating a Comprehensive BIM Model for a Mid-Sized Transportation Hub in LA

The main goal of this project is to create a comprehensive Building Information Modelling (BIM) model for a passenger Transportation Hubs in Great Falls Montana and Lethbridge Alberta. The central stations will incorporate a link to the Airport, Regional Rail to Yellowstone & Calgary, etc. Preference is for the team to identify up to 3 suitable sites for the integrated Travel center. .This includes developing a detailed digital representation of the building's physical and functional characteristics, integrating various systems (architectural, structural, mechanical, electrical, plumbing), and ensuring the model is coordinated and clash-free.

Rail Feasibility Study for Strategic Impact: MBA Leaders Transforming Business Challenges

Categories Advertising Market expansion Product or service launch Sales strategy Marketing strategy Skills planning influencer marketing tiktok collaboration market analysis marketing content creation data-driven decision making marketing strategies teamwork Details The main goal of this project is to create an AI generated social media marketing strategy for DFEnergy, an award winning Canadian healthy ginseng energy shot launching January 2024 in Canada, U.S.A and China. This will involve several different steps for the students, including: The primary objective of this 14-week capstone course is to equip University marketing students with advanced skills and strategic insights in leveraging AI for the development and execution of a comprehensive social media marketing strategy. - Analyzing our existing dataset of users, products, and reviews. - Developing an AI-powered social media marketing strategy. - Optimizing the AI-powered strategy for maximum efficiency. - Researching other variables that can improve the quality of the AI-generated strategy. - Accounting for additional variables in the AI-generated strategy. - Testing the developed strategy and making improvements based on additional data. The focal point is the launch of Canadian made and award winning healthy nutrceutical DFEnergy to a global online market place, DFEnergy was awarded Canada's most innovative health product and DansFarmaroot ultimate goal with this co-op assignment is to create a data-driven, innovative, and impactful marketing campaign. Deliverables Learners will be addressing the challenge of effectively integrating artificial intelligence into every facet of the marketing process, from market analysis to content creation and campaign optimization. The students will work with DansFarmaroot to help integrate and leverage AI tools to navigate social media marketing, ensuring the successful launch of DFEnergy. This includes Linkedin, YouTube Shorts, Instagram, FaceBook, Tik Tok and Discord By the end of this co-op programme, learners are expected to achieve the following outcomes: AI Integration Proficiency: Gain a comprehensive understanding of how AI technologies can be seamlessly integrated into marketing strategies, allowing for more precise targeting and strategic decision-making. Strategic Marketing Insights: Develop the ability to extract actionable insights from AI-generated analytics, guiding the creation of a strategically sound social media marketing campaign. Innovative Content Creation: Acquire skills in crafting innovative and engaging content with the assistance of AI tools, ensuring that the marketing campaign for DFEnergy stands out in the competitive digital landscape. Effective Influencer Collaboration: Learn to identify, evaluate, and collaborate with influencers using AI-driven metrics, enhancing the effectiveness of influencer marketing in the campaign. Data-Driven Campaign Planning: Master the art of data-driven decision-making in the planning and execution of marketing campaigns, optimizing strategies for maximum impact. Real-time Analytics Interpretation: Understand how to interpret real-time analytics data to assess campaign performance, enabling learners to make informed adjustments and optimize outcomes. Students will have access to our database and all materials needed to achieve the data required. Collaborative and Reflective Skills: Cultivate collaboration skills through group projects, fostering teamwork and collective problem-solving. Encourage reflective thinking on the integration of AI in marketing practices.