ENGR 96I
Introduction to Engineering Design: Internet of Things
Description: (Formerly numbered 96C.) Lecture, one hour; laboratory, one hour; outside study, four hours. Recommended for undergraduate Aerospace Engineering, Bioengineering, Computer Science, Electrical Engineering, and Mechanical Engineering majors. Introduction to engineering design while building teamwork and communication skills and examination of engineering majors offered at UCLA and of engineering careers. Hands-on experience with state-of-art Internet of things (IoT) technology to offer students opportunity to rapidly develop innovative and inspiring systems that provide ideal introduction to computing systems and IoT applications specific to their major field. IoT technology has become one of most important advances in technology history with applications ranging from wearable devices for healthcare to residential monitoring systems, natural resource protection and management, intelligent vehicles and transportation systems, robotics systems, and energy conservation. Completion of hands-on engineering design projects, preparation of short report describing projects, and presentation of results. Letter grading.
Units: 2.0
Units: 2.0
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Most Helpful Review
Spring 2024 - This class really isn't what it says on the tin, not to the fault of the professor, Darabi is great. The class ends up being much more on using microsensors in machine learning, while interesting, doesn't teach much on IoT, but next year the class is being changed to E1IT so I'm not sure how much this review will stay true. As for the work, the labs are pretty easy with very little code writing, most of which is in the final project. The class is a nice GPA booster and an interesting introduction to machine learning.
Spring 2024 - This class really isn't what it says on the tin, not to the fault of the professor, Darabi is great. The class ends up being much more on using microsensors in machine learning, while interesting, doesn't teach much on IoT, but next year the class is being changed to E1IT so I'm not sure how much this review will stay true. As for the work, the labs are pretty easy with very little code writing, most of which is in the final project. The class is a nice GPA booster and an interesting introduction to machine learning.
Most Helpful Review
Fall 2023 - The lectures had nothing to do with the assignments. Don't stress at all if you have no idea what's going on during lectures; they covered content which, in my opinion, was too advanced to being taught to incoming freshmen (stuff that you'll learn in upper div EE courses). The assignments are super easy. Just make sure to show up to lectures and lab. Each lecture and each lab make up 1% of your total grade, so if you skip them, it adds up quick.
Fall 2023 - The lectures had nothing to do with the assignments. Don't stress at all if you have no idea what's going on during lectures; they covered content which, in my opinion, was too advanced to being taught to incoming freshmen (stuff that you'll learn in upper div EE courses). The assignments are super easy. Just make sure to show up to lectures and lab. Each lecture and each lab make up 1% of your total grade, so if you skip them, it adds up quick.
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