MGT-492: Data science and machine learning IThis class provides a hands-on introduction to data science and machine learning topics, exploring areas such as data acquisition and cleaning, regression, classification, clustering, neural networks,
MGT-632: Recursive Methods in MacroeconomicsThis is a PhD course on recursive methods used in modern macroeconomics. Recursive
representations of macroeconomic models are useful because they are parsimonious and allow
the computer to be used to
MICRO-211: Analog circuits and systemsThis course introduces the analysis and design of linear analog circuits based on operational amplifiers. A Laplace early approach is chosen to treat important concepts such as time and frequency resp
MICRO-461: Low-power radio design for IoTThe basic function of an IoT node is to collect data and send it through a wireless channel to the cloud. Since the power consumption of an IoT node is largely dominated by the wireless communication,
MICRO-514: Flexible bioelectronicsThe course is an introduction to the emerging field of flexible (bio)electronics. It provides an overview of the materials and processes used to design and manufacture flexible circuits and sensors.