Online Learning with the College of Engineering

Introduction of AI/ML in Design and Optimization

Explore how AI accelerates mechanical engineering simulations and optimizes materials. Master advanced modeling and organizational algorithms through the College of Engineering’s online offerings to gain the essential problem-solving skills required for fast-paced engineering careers.

The Benefits of Desktop 3D Printing with Metals

The College of Engineering’s online offerings provide a gateway to mastering modern manufacturing through accessible technologies like Desktop Metal 3D printing. In this video, you’ll explore a three-step process for producing high-resolution parts and understand how to develop expertise in efficient, low-cost workflows.

The Backstory of the VW Emissions Scandal

This video unpacks the Volkswagen emissions scandal, revealing how vehicle software was used to manipulate environmental test results.

You’ll gain insight into the complex relationship between sensor data, embedded systems, and decision-making algorithms to understand the importance of ethical design, similar to concepts explored in the Intelligent Systems in Engineering Applications from U-M Dearborn.

Learning from Data

While data analysis can provide valuable insights into a problem or question, understanding how to think statistically is essential to helping us identify those meaningful patterns in the first place.

In this video, you’ll learn how to turn raw data into a visualization to help you identify patterns, understand variability, and interpret distributions. Understanding these concepts can help you take strides towards a degree in Intelligent Systems from U-M Dearborn.

What is Data Mining?

Data can provide us with a door into our vast connections to one another, and data mining is the key to extracting meaningful insights from that data. In this clip, you’ll learn how data mining differs from other data analysis techniques and how it applies to the broader scope of data analysis.

By building a bridge between these concepts and your current understanding of data, you can determine if you’re ready to jump into the Intelligent Systems in Engineering Applications graduate certificate.

Networks: Definition and Why We Study Them

Studying networks can help us reveal the connections between individuals and larger communities. This clip reflects the analytical approaches and systems thinking that are central to the Intelligent Systems in Engineering Applications program, where you can focus on data-driven problem solving.

What is Information Extraction?

Learn how data scientists turn unstructured text into structured, searchable data to power artificial intelligence to make decisions. Using real-world examples, this video provides a look into the core knowledge needed to pursue a degree in Intelligent Systems in Engineering Applications from U-M Dearborn.

Moving Beyond Desktop 3D Printing—The Possibilities

Explore advanced methods in metal 3D printing that overcome the limitations of desktop systems, like part size, resolution, and material integration.

This video discusses techniques like directed energy deposition, powder bed fusion, and lamination-based processes to show how engineers can achieve higher performance and design flexibility.

Machine Learning Algorithms

Machine learning is redefining mechanical engineering through predictive maintenance and autonomous design. This video explores transforming data into actionable insights. Build these technical competencies through the College of Engineering’s online offerings to master the problem-solving skills needed for data-driven roles.

Deep Learning and Neural Networks

Description: Master neural network architectures through the College of Engineering’s online offerings. This video explores training processes and backpropagation, providing the specialized analytical expertise needed to solve advanced technical challenges and lead in modern engineering.

Introduction of AI/ML in Design and Optimization

Through the College of Engineering’s online courses, discover how AI-driven neural networks refine aerodynamic turbines and optimize battery structures. This video showcases high-speed simulation techniques, equipping you with the advanced modeling skills necessary to excel in modern mechanical engineering careers.

Generative Adversarial Networks

Revolutionize your design workflow with Generative Adversarial Networks (GANs). This video explores how these AI tools create realistic, high-fidelity engineering models. Master these generative methods through the College of Engineering’s online offerings to tackle complex modern projects with cutting-edge technical precision.

Algorithmic Fairness

Uncover how training data creates cycles of algorithmic bias in this video. The College of Engineering’s online offerings teach you to identify these hidden issues, ensuring you build ethical, fair computer systems that prevent bias in technical roles.

Societal Impact

Beyond technical accuracy, algorithms often cause harm through distributional unfairness when their broader impacts are ignored. This video explores how infrastructure apps might underserve specific neighborhoods. Through the College of Engineering’s online offerings, learn to evaluate these societal consequences and build more equitable technical systems.

Direct, Specific, Behavioral

Engineering project managers must swap vague feedback for standardized, outcome-oriented guidance to ensure equitable promotions. This video explores tying critiques to business goals, a leadership strategy emphasized in the College of Engineering’s online offerings to foster ethical growth and professional advancement.

Feedback Lab: À La Carte

By unbundling the EDIT framework, engineers can zap wasteful excess or experiment with new ideas to balance complex commitments. By exploring similar offerings designed by the College of Engineering, you apply these flexible tools to foster ethical leadership and ensure fairness within your role.

Feedback Friction

Research shows that daily reflection can boost performance by 23%. This video demonstrates how balancing high-stakes challenges with intentional recovery prevents burnout. Through the College of Engineering’s online offerings, learn to manage these cycles to maintain the mental reserves needed for ethical leadership.

Finding a Purposeful Culture at Work

Building a purposeful culture is vital for ethical engineering project management. This video explores how dignity, organizational support for individual goals, and a shared higher purpose drive professional fulfillment. Engaging with the College of Engineering’s online offerings helps you create inclusive environments where team members thrive, and projects contribute to the greater social good.

Leading with Purpose: Empower

A shared higher purpose and organizational support are key to building a purposeful engineering culture. This video explores how dignity and individual goals drive fulfillment. The College of Engineering’s online offerings prepare you to create inclusive environments where projects prioritize social good.

Leading with Purpose: Connect

Research shows only 37% of employees clearly understand their company’s purpose. This video explores how connecting individual goals to a larger mission ensures team alignment. The College of Engineering’s online offerings teach these ethical leadership strategies to foster cultures of fairness and excellence.

AI for Energy Storage and Consumption

AI-driven optimization is essential for managing the modern energy grid. This video explores using machine learning to predict battery health and automate charging cycles. Through the College of Engineering’s online offerings, master these technical tools to lead high-impact, sustainable projects.

Energy-Carriers

Understand the environmental impact of energy production with the College of Engineering’s online offerings. By analyzing carbon budgets and the greenhouse effect, you can lead projects that prioritize sustainability and mitigate climate risks. This video explores how fossil fuel combustion drives global warming.

AI for Energy Generation and Distribution

AI is proposing new ways to mitigate greenhouse effect risks through sustainable technology. This video explains how machine learning and reinforcement learning optimize energy storage and smart building consumption. With the College of Engineering’s online offerings in sustainability, you’ll learn to master these essential strategies for a career in sustainability.

AI for Predictive Maintenance for Renewable Energy & Storage Systems

AI is transforming the energy sector by optimizing renewable generation and grid stability. This video explores AI-driven load forecasting and predictive maintenance. Through the College of Engineering’s online MSE programs, learn to apply these innovations to reduce waste and ensure a reliable future.

Impacts of Automation—Urban Planning Perspective

Just as the motor vehicle transformed the 20th century, urban automation is currently reshaping cities. This video challenges you to explore repurposing infrastructure and shaping future urban environments through proactive design. Dive deeper into managing autonomous urban outcomes with the sustainability programs offered by the College of Engineering.

Impacts of Electrification—Energy Justice Perspective

This video examines the economic and environmental risks of the U.S. shift from oil to electrification, specifically regarding job markets and tax revenue. Through the College of Engineering’s online sustainability offerings, you'll learn to manage infrastructure decommissioning and lead a clean energy transition.