Systems Engineering
Learn fundamental concepts of systems engineering for developing complex projects efficiently and effectively.
Learn fundamental concepts of systems engineering for developing complex projects efficiently and effectively.
This introductory course provides a comprehensive overview of systems engineering principles and practices. Students learn how to develop and describe system architectures, communicate project requirements and constraints, optimize designs through trade studies, and validate system performance. The course emphasizes model-based approaches and functional architectures in complex project development.
4.8
(128 ratings)
5,537 already enrolled
Instructors:
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What you'll learn
Develop and describe system architectures
Communicate project requirements effectively
Optimize designs through trade studies
Validate system performance
Implement model-based approaches
Manage complex project development
Skills you'll gain
This course includes:
69 Minutes PreRecorded video
1 quiz
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
Top companies offer this course to their employees
Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.
There is 1 module in this course
The course provides a foundational understanding of systems engineering principles and methodologies. Through comprehensive modules, students learn about system architecture development, requirements management, and model-based approaches. The curriculum focuses on practical applications in complex project development, preparing participants for real-world systems engineering challenges.
Systems Engineering
Module 1 · 1 Hours to complete
Fee Structure
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Instructor
Experts in Data Science and Systems Engineering
MathWorks offers a variety of courses on Coursera, focusing on data science and systems engineering. The courses are developed by experienced instructors such as Erin Byrne, who has a background in applied mathematics and engineering, and Brandon Armstrong, who specializes in physics and data analysis. Their expertise ensures that learners receive high-quality education that combines theoretical knowledge with practical applications.Courses are designed to accommodate different learning styles, providing hands-on exercises, step-by-step instructions, and access to MATLAB for real-world applications. This structure enables learners to effectively grasp complex concepts and apply them in their professional environments.
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4.8 course rating
128 ratings
Frequently asked questions
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