Jun 04,2024

012 - Part II The Application of Big Data in Fluid Dynamics

 

 

The Application of Big Data in Fluid Dynamics

 

Course Number: 012

Fee: Free

 

Length: 3 Hours

Credits: This course qualifies for 3 PDH (unstructured) and 3 CEU (structured) technical learning credits issued by most US State Engineering Regulatory Organizations and all Canadian Provincial and Territorial Engineering Regulatory Organizations.

Online, Self-Directed Format: Primarily Text with Illustrations and Video

 

Course Description (Syllabus):

  

Welcome to the course 'The Role of Big Data in Fluid Dynamics: This course is designed to provide engineers with an in-depth understanding of the intersection between big data and fluid dynamics, and how this relationship can be leveraged to drive innovation and improve engineering practices.

 

The course will introduce you to the world of big data. We will start with a definition and overview of big data, highlighting its importance and applications in fluid dynamics. We will also cover the tools and techniques used to manage and analyze big data, setting the stage for the rest of the course.

 

Next the course will examine how big data can be used to enhance computational fluid dynamics, enabling real-time data analysis, predictive modeling, simulation, and optimization. The course will also discuss the latest research trends in data-driven discovery and machine learning in fluid dynamics, and examine case studies in the aerospace industry, renewable energy sector, and environmental engineering.

 

Finally, the course will conclude with a discussion of the challenges and opportunities in the intersection of big data and fluid dynamics. It will explore the technical and ethical challenges that must be addressed, as well as the current research trends and future opportunities in this exciting field. By the end of the course, you will have a deep understanding of the role of big data in fluid dynamics and be equipped with the knowledge and skills to apply this understanding in your engineering practice.

 

Learning Outcomes: By completing this course you will learn:

 

1. Basic and Advanced Concepts of Fluid Dynamics
2. Computational Fluid Dynamics
3. The Role of Big Data in Fluid Dynamics: Enhanced Computational Fluid Dynamics, Predictive Modeling, Real-Time Data Analysis, Simulation and Optimization, Research, Machine and Deep Learning
4. How to Apply Big Data in Fluid Dynamics: Collecting and Processing Data Sets, Sources of Data Sets, Software Tools for Applying Big Data in Fluid Dynamics
5. Industry Applications and Case Studies: Civil, Chemical, Mechanical, Biomedical, Environmental and Aerospace Engineering
6. Technical and Ethical Considerations
7. Current Research and Future Trends
8. Continued Learning and Technology Updates

Who Should Take This Course:

 

Engineer students and engineers less familiar with the use of Big Data in Fluid Dynamics and engineers who wish to update their knowledge of this rapidly evolving technology in this field of engineering.

 

Course Instructions:

Enrollment: You must be registered and logged into the Engineer eLearning Centre website to access this online, self-directed course.

Once you are logged into your Engineer eLearning account click “Browse Courses” to find this course. Click Enroll and confirm you wish to enroll.

  

Once you have confirmed your enrollment you will be returned to your account “My Courses”. Click Enter Course in course profile box. You can enter the course at any time and as many times as you wish. There is no time limit as to when you must complete this course. To access the course learning content click the module headings in the side menu.

 

Credit Options:

 

After completing this course you have the option of receiving eMETA PDH or CEU credit(s) or both. eMETA credits qualify for Unstructured and Structured technical learning credits required by most US State and all Canadian Provincial and Territorial Engineering Regulatory Organizations.

 

To receive your eMETA CEU credit you will be required to take an automated quiz.

Instructions on how to receive your credit(s) and download your PDF Certificate(s) are provided in the side menu of this course. Your credits will also be registered in your Engineer eLearning Centre account. You can download a Transcript of all credits earned in the Engineer eLearning Centre by clicking the Transcript tab in your account.

 

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