Dartmouth Master of Engineering in Computer Engineering Course Overview V2

Interested in getting a closer look at Dartmouth's online Master of Engineering in Computer Engineering (MEng)? Get an inside scoop on the courses you can expect as a MEng student! 0:00 - Introduction 0:05 - Signal Processing The mathematical theories that underpin the discipline of signal processing are presented and used in applied settings, allowing you to analyze, optimize, and adjust a wide range of data and signals. You will learn topics such as sampling, signal filtering, noise reduction, data compression, the discrete Fourier transform (and fast Fourier transform), Fourier analysis, and feature extraction. Modeling a random signal as a stochastic process is used to investigate the analysis and processing of signals from a statistical viewpoint. 7:21 - Natural Language Processing Building on the knowledge gained through the Signal Processing and Machine Learning courses*, here you will learn the basics of natural language processing (NLP) - the linguistic theories underpinning it, the techniques and challenges that define the NLP landscape, and both the current and developing tools used to implement it. You will also gain a deeper understanding of the principles governing the development of generative AI models. 11:42 - Embedded Systems You will learn about the different types of hardware platforms, software tools, and techniques used in the design of embedded systems. Focusing particularly on the application of microcontrollers, you will learn how to design, program, test, and debug embedded systems. You will develop hardware-level device drivers for connected sensors, implement real-time data processing, and work with communications interfaces. 15:05 - FPGA In this course, you will learn how to use FPGA architecture and algorithms for deep neural network learning. You will gain an overview of the specialized hardware devices being used to implement deep neural networks across a broad range of industries and applications, and why FPGA systems are th