Search result for Master of science in food systems Online Courses & Certifications
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M2M & IoT Interface Design & Protocols for Embedded Systems
by Bruce Montgomery, PhD, PMP- 0.0
Approx. 9 hours to complete
This course can also be taken for academic credit as ECEA 5348, part of CU Boulder’s Master of Science in Electrical Engineering degree. This course can be taken for academic credit as ECEA 5348, part of CU Boulder's Master of Science in Electrical Engineering degree. Cloud Architectures for Embedded Systems...
Modeling and Debugging Embedded Systems
by David Sluiter- 4.6
Approx. 8 hours to complete
This course can also be taken for academic credit as ECEA 5387, part of CU Boulder’s Master of Science in Electrical Engineering degree. * About SystemC and how it can be used to create models of cyber-physical systems in order to perform "what-if" scenarios * A deeper understanding of embedded systems in the Automotive and Transportation market segment...
Introduction to Environmental Science
by Andrew J. Friedland , Michael Goudzwaard , Justin Richardson , R. Michael Murray- 0.0
4 Weeks
Environmental science is the study of patterns and processes in the natural world and their modification by human activity. Agriculture, soils and the environmental implications of eating meat, vegetables, local, organic, sustainable, industrial and other types of food Biodiversity and global change, which are the integrating units of environmental science How natural systems are affected by people...
$50
Disaster Preparedness
by Michael Beach- 4.7
Approx. 13 hours to complete
Throughout the course, you will be introduced to the Disaster Cycle, specifically the Mitigation and Recovery phases, and will create an extensive personal preparedness plan for survival in the absence of common amenities, such as food and water, shelter, and communication. Finally, issues of how institutions and governments can aid in disaster are also discussed....
Introduction to Thermodynamics: Transferring Energy from Here to There
by Margaret Wooldridge, Ph.D.- 4.8
Approx. 16 hours to complete
This course provides an introduction to the most powerful engineering principles you will ever learn - Thermodynamics: the science of transferring energy from one place or form to another place or form. Following the Mastery Learning model, students must pass all 8 practice quizzes with a score of 80% or higher in order to complete the course....
Food Forest Design & Care for Cities and Suburbs
by Toby Hemenway- 3.6
4 hours on-demand video
Design and build a permaculture food forest in your backyard, neighborhood, or city In this class Toby Hemenway gives you both the theory behind food forests and a wealth of practical information, including which plants to use, where to start, and what to expect as your food forest grows and evolves....
$49.99
Project Planning and Machine Learning
by David Sluiter- 4.7
Approx. 17 hours to complete
This course can also be taken for academic credit as ECEA 5386, part of CU Boulder’s Master of Science in Electrical Engineering degree. This is part 2 of the specialization. In this course students will learn : * How basic file systems operate, and types of file systems used to store big data...
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Design of High-Performance Optical Systems
by Robert McLeod , Amy Sullivan- 4.7
Approx. 23 hours to complete
This course can also be taken for academic credit as ECEA 5602, part of CU Boulder’s Master of Science in Electrical Engineering degree. This will allow students to analyze systems that are too complicated for the simple analysis thus far introduced in this set of courses. Resolving Power of Grating Resolving Power of Grating vs....
Recommender Systems: Behind The Screen
by Laurent CHARLIN , Fernando DIAZ , Michael EKSTRAND , Dora JAMBOR- 0.0
6 Weeks
They are ubiquitous and are most often used to recommend items to users, for example, books, movies, but also possible friends, food recipes or even relevant documentation in large software projects, or papers of interest to scientists. The content of this course will also be of great use to whomever uses or is interested in AI, in any other way....
$150
Machine Learning with Python: from Linear Models to Deep Learning
by Regina Barzilay , Tommi Jaakkola , Karene Chu- 0.0
15 Weeks
You will complete this course and three others from MITx, at a similar pace and level of rigor as an on-campus course at MIT, and then take a virtually-proctored exam to earn your MicroMasters, an academic credential that will demonstrate your proficiency in data science or accelerate your path towards an MIT PhD or a Master's at other universities....
$300