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AI Project Collaboration: Real-World Applications

CSSE-4550 01 and CSSE-5480 01
Closed
University of Detroit Mercy
University of Detroit Mercy
Detroit, Michigan, United States
Caitlin Snyder
She / Her
CS Instructor
2
Timeline
  • February 26, 2025
    Experience start
  • April 17, 2025
    Experience end
Experience
1/1 project matches
Dates set by experience
Preferred companies
Anywhere
Any company type
Any industries

Experience scope

Categories
Information technology Artificial intelligence
Skills
programming languages project collaboration machine learning intelligent agent complex problem solving artificial intelligence
Learner goals and capabilities

University of Detroit Mercy’s Introduction to Artificial Intelligence course gives students a solid foundation in AI, covering topics like intelligent agents, search strategies, reasoning methods, and machine learning. These learners are ready to tackle projects involving AI programming languages, first-order logic, and uncertainty while using their skills to solve complex problems, think logically, and apply probabilistic models.


Students in this course are excited to apply what they’ve learned to real-world projects. They’re eager to work on AI solutions that can make a difference and bring fresh, valuable perspectives. Employers can help shape the next generation of AI experts while getting practical insights and solutions for their projects.

Learners

Learners
Undergraduate
Intermediate levels
20 learners
Project
30 hours per learner
Educators assign learners to projects
Teams of 4
Expected outcomes and deliverables

Employers will receive:

  • Final Report: A comprehensive report summarizing the key findings, solutions, or recommendations proposed by the students.
  • Final Demo: A virtual demo where students present their projects and respond to any questions or feedback from the employer.
Project timeline
  • February 26, 2025
    Experience start
  • April 17, 2025
    Experience end

Project Examples

Requirements

The following types of projects would be ideal for our students:

  • AI-Based Problem Solving: Develop an AI system that solves a real-world problem using search strategies and logic.
  • Machine Learning Model Development: Create a machine learning model to process and predict data (e.g., natural language, computer vision).
  • AI for Business Intelligence: Build AI-powered tools to enhance business decision-making processes through probabilistic reasoning.
  • Autonomous Agent Design: Design and implement intelligent agents capable of interacting with and adapting to dynamic environments.
  • AI Ethics and Bias Analysis: Investigate potential biases in AI systems and propose ethical guidelines for their development and use.

Additional company criteria

Companies must answer the following questions to submit a match request to this experience:

  • Q1 - Text short
    Does your project involve AI-driven solutions or require the application of AI methodologies such as search strategies, probabilistic reasoning, or machine learning?  *
  • Q2 - Text short
    Is the project suitable for learners with foundational knowledge of AI programming languages such as python?  *