Red River College Polytechnic

Winnipeg, Manitoba, Canada

The Electrical Engineering Technology program equips learners with the skills needed to excel as engineering technologists in the dynamic electronics industry. Participants gain hands-on experience in designing, building, and troubleshooting electronic systems, with a focus on digital and analog circuits, amplifiers, and wireless communications. This experience allows learners to apply their classroom knowledge to real-world projects, enhancing their technical proficiency and problem-solving abilities in areas such as microprocessor programming, industrial electronics, and programmable logic systems. Course Description: Over the course of a 16-week term, students will engage in one or more industry projects either on an individual basis or within a group of students enrolled in the course. In this course, students will collaborate with industry partners to develop real-world workplace skills while tackling a relevant industry challenge. Students will research and analyze a problem or requirement, explore potential solutions, and apply key concepts learned in their studies. Along the way, students will navigate industry considerations such as product safety, reliability, customer needs, and cost-effectiveness. Through this experience, students will gain industry-specific skills and refine their ability to communicate professionally. By the end of the course, they will produce a technical report that showcases your problem-solving process and presents a well-supported case for your proposed solution.

Thompson Rivers University (TRU)

Kamloops, British Columbia, Canada

Our learners are 2nd and 3rd Diploma and Degree Computer Science and Information Technology International students from Thompson Rivers University. They may have completed core academic coursework in areas such as: Programming (Java, Python, C++) Web development (HTML, CSS, JavaScript) Database management (SQL, MySQL) Systems analysis and design Software engineering principles Networking and cybersecurity foundations UI/UX fundamentals Cloud computing and data structures They bring problem-solving skills, adaptability, and experience working on collaborative, real-world projects through their coursework. Many students have also completed personal, volunteer, or academic projects in GitHub environments.

Red River College Polytechnic

Winnipeg, Manitoba, Canada

Looking to elevate your organization, and bring it to the next level? Bring on learners from Red River College to be your learner-consultants, in a project-based experience. Learners will work on one main project over the experience of the semester, connecting with you as needed with virtual communication tools. Learners in this program/experience will: 1. Describe the key concepts and processes used in the study of consumer behavior to explain why consumers make purchases.   2. Identify key ethical and social responsibility issues associated with marketing that impacts consumer behaviour.   3. Determine the factors that influence the spread of a new idea.   4. Explain how diffusion of innovation manifests itself in different ways in various cultures.   5. Analyze current trends in consumer behaviour.   6. Apply current trends in consumer behaviour to the marketing of a product or service.   7. Evaluate the effectiveness of marketing programs and their attempts to influence consumer behaviour.   8. Construct profiles of target market segments to identify which consumer groups are most likely to purchase a product.   9. Formulate effective marketing strategies to influence consumer decision-making.   10. Create a project to assess the consumer decision-making process.

Capilano University

Vancouver, British Columbia, Canada

This experience is designed to bridge the gap between academic learning and real-world application by providing learners with career development coaching and practical work experience through internships. The experience will enhance their professional skills and employ-ability. By participating in this program, learners will be equipped to apply their knowledge to industry projects, reflecting on their personal and professional growth while aligning their career goals with practical experiences.

Please read the details of the link below completely and follow the steps specified there to submit proposals. Given the high number of requests, requests submitted on Riipen will not be reviewed. All details and questions are discussed in the document below. Program Overview and Partnership Invitation Document This program has been run for 17 cohorts over 7 years and with 200+ partners. We work with 30+ partners every term. We will not be able to respond to messages on Riipen. Quick summary: students take this course to develop a software application (web, mobile or desktop) for various use cases. Previous examples include mobile apps for finding travelers in a specific community and web-based application for connecting a non-profit to volunteers. If the project information interests you, please go through the steps mentioned in the document. After reviewing 300+ proposals, we have created a thorough process to streamline the process for all involved. We will not be able to accept requests on Riipen as the proposals need to be chosen by the students when the term begins.

My learners are equipped to tackle projects in machine learning and statistical learning, having gained proficiency in Python and R. They have engaged with several hands-on courses covering machine learning, statistical data analysis, SQL and database management, Tableau dashboard creation, data engineering, and big data. I am seeking internship projects that will help them apply their skills as part of their data science master’s program. Please note that learners will register for their internship between May and August 2025. If you wish to start working with them during this period, it would be ideal.

Looking to elevate your organization, and bring it to the next level? Bring on learners from the Engineering Science Electrical and Computer Engineering capstone course at the University of Toronto to be your learner-consultants, in a project-based design experience. Learners will work on one design design cycle of a project over the experience of the semester, connecting with you as needed with virtual communication tools.

This experience is designed for graduate students specializing in data mining, machine learning, and data science. These learners are equipped with skills in analyzing complex datasets, developing predictive models, and creating compelling visualizations. The objective is to apply these skills to real-world projects, enabling students to translate theoretical knowledge into practical solutions. By engaging in these projects, learners will enhance their problem-solving abilities and gain valuable experience in delivering actionable insights.