Entrepreneurially minded engineers can learn how to zero in on what matters to their customers and test their creative concepts by earning an MBA degree.
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A hybrid skill set of both hard and power skills is highly prized by employers today. An advanced degree can help engineers acquire these skills.
Companies and business leaders are reevaluating the skills critical to employee success and finding that power skills are vital.
Diversity in STEM continues to be a goal that STEM departments in universities across the country strive to achieve.
Organizations both large and small are making concerted AI education efforts, a crucial goal considering how the reach of AI has recently expanded.
We explored the reasons why some universities have recently created courses that combine AI and computer science with ethics in our last post. More than ever, ensuring that artificial intelligence (AI) is fair, accountable, and transparent is critical. AI and Ethics Coursework: Analyzing the Algorithm It’s important to think out the design of an AI
Complex algorithms can create inadvertent bias. Universities like Stanford have created new courses that combine computer science and ethics, in an effort to prevent bias from occurring.
Should engineering education change in the context of the STEM shortfall? Specifically, I want to talk about weed-out classes. I remember when I attended the University of Kentucky back in the early 90s. There was a physics 231/232 class that was standard Newtonian physics for mechanical engineers.