Dartmouth College - Master of Engineering in Computer Engineering offered by Coursera
- Estd. 2012
Master of Engineering in Computer Engineering at Coursera Overview
Duration | 15 - 27 months |
Mode of learning | Online |
Official Website | Go to Website |
Course Level | PG Degree |
Master of Engineering in Computer Engineering at Coursera Highlights
- Earn a degree from Dartmouth Engineering
Master of Engineering in Computer Engineering at Coursera Course details
Extract information from data, using a combination of broadly-applicable tools and task-specific techniques such as signal processing, machine learning, and machine vision.
Implement information-extracting algorithms that fit within the constraints–and exploit the capabilities–of specialized computer hardware for intelligent systems.
Design, analyze, build, test, and debug the sensing and computing components of intelligent systems.
Collaborate on projects with geographically-distributed team members.
Whether you have studied computer engineering in the past, worked in the field professionally, or have a related STEM background, with a Dartmouth Master of Engineering in Computer Engineering (MEng) you will master the technical and professional skills needed for any high-level career in computer engineering
With the US CHIPS and Science Act of 2022, skills investment in this sector is at an all-time high. Take the next step and drive the future of computer engineering with our specialized degree program
Through nine carefully curated and thematically linked courses, you will systematically acquire a deep understanding of intelligent systems, learning how they interact to transform the world of computer engineering as we know it
Course fee $44,100 USD
Master of Engineering in Computer Engineering at Coursera Curriculum
Extracting Information from Data
Machine Learning
Signal Processing
Applied Natural Language Processing
Machine Vision
Deep Learning for Sensor Data
Hardware for Intelligent Systems
Embedded Systems
FPGA Architecture and Algorithms
Distributed Computing
Capstone
Smart Sensors
Machine Learning
Signal Processing
Embedded Systems
Applied Natural Language Processing
Machine Vision
FPGA Architecture and Algorithms
Deep Learning for Sensor Data
Distributed Computing
Capstone
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Master of Engineering in Computer Engineering at Coursera Contact Information
4th Floor Emerald Court Sco-57, Leisure Valley Rd, Sector 29
Gurgaon ( Haryana)
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