Type of course:
Digital learning, Lesson
Language:
EN
Duration:
20 minutes
Proficiency:
Intermediate
Target:
Manager, Professionals, Workers
SUMMARY
Welcome to the assessment for the “Data Science for Manufacturing” course!
Good luck, and let’s see how well you grasp the essential principles of Data Science for Manufacturing!
About The Author
Dilek Dustegor is a Professor of Computing Science at the University of Groningen in the Netherlands. She is interested in bridging the gaps between research, development and implementation using AI and automation. She is pursuing research about modeling, design and analysis of large scale / networked systems using IoT and ML techniques, with a special interest in smart city applications. She is a seasoned educator, and loves using the newest educational technologies for an enhanced learning experience.
Learning outcomes
- By the end of this course, learners will be able to discuss real-world business problems within the manufacturing industry, demonstrating a comprehensive understanding of the unique challenges and opportunities in this sector with respect to data science.
- By the end of this course, learners will be able to list and describe the steps of a data science project, from business problem to deployment.
- By the end of this course, learners will be able to recognize various data sources in a manufacturing environment.
Course Content
Topics
Uncategorized
Provided by
-
University of Groningen
Course Includes
- 1 Quiz
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