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Georgia Institute of Technology

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Dr. He Wang

Associate Professor in Industrial and Systems Engineering at Georgia Tech

Dr. He Wang, holding the Jerry and Harriet Thuesen Early Career Professorship at Georgia Tech, researches at the juncture of machine learning and operations management, particularly in supply chain and pricing. His academic journey traversed from a B.S. in industrial engineering and math at Tsinghua University to a Ph.D. in operations research from MIT.

In this case study

Dr. Wang discusses his successful integration of Vocareum Notebook into his AI and Data Analytics course. Dr. Wang emphasized Vocareum’s user-friendly approach, particularly its efficient GPU access for machine learning training, simplifying complex setups for students. He praised the positive student experience, highlighting the platform’s utility in preparing them for real-world applications. With plans for course expansion and potential online offerings, Dr. Wang commended Vocareum’s scalability and accessibility, recommending it to colleagues for its effectiveness in enhancing the learning environment.

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Can you tell us a bit about yourself and your background?

I’m an Associate Professor at Georgia Tech in the Industrial and Systems Engineering department. I’ve been teaching here since 2017 and hold a PhD in Operations Research.

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How did you start using Vocareum Notebook for your courses?

I was introduced to Vocareum Notebook by a colleague from the School of Computer Science. I was preparing a new course on data analytics and needed a platform that allowed students to work with Jupyter notebooks effectively

Vocareum Notebook's seamless integration with our learning management system has not only streamlined our teaching of Python and machine learning but also enriched the student learning experience with its real-time feedback and easy GPU access

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What was the main motivation behind your course?

The course aims to bridge the gap between basic Python programming courses and more advanced topics like machine learning. I noticed that students often lack experience in handling real-world, unclean data, so the first half of the course focuses on teaching Pandas for data manipulation and libraries for data visualization, followed by machine learning tools in the second half.

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Can you describe your experience integrating Vocareum Notebook into your class?

Vocareum’s integration with our LMS (Canvas) has been seamless. Everything from lectures to assignments is managed through Jupyter notebooks. For instance, I can post a link in Canvas that directly opens the notebook in the student’s browser. This uniform environment is incredibly efficient. We also utilize nbgrader (a Jupyter Notebook extension) for auto-grading assignments in Vocareum, allowing students to receive real-time feedback for coding questions. Another nice feature of Vocareum is that grades are automatically synced with the LMS.

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How are GPUs leveraged in your course?

GPUs have become essential for machine learning training. We use them to demonstrate their speed advantage over CPUs for handling large training sets. Students run models on both CPU and GPU to compare performance. For this, we rely on Vocareum for its straightforward access to GPU resources.

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What led you to choose Vocareum for GPU usage?

While we have GPUs on campus, accessing them is not always user-friendly. Vocareum makes the entire process smoother. Students don’t need to worry about complex setups or command lines; they can just open a notebook, and everything is ready.

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How has the student experience been with Vocareum Notebook?

The student experience has been quite smooth. They appreciate not having to deal with the setup complexities. As an instructor, I can manage package installations for students. In the industry, companies often manage these setups when they provide cloud-based computing environments to their employees, so it’s great that Vocareum provides a similar environment that allows students to experience what they may use for their future jobs.

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What are your future plans for using Vocareum Notebook in your courses?

I think I’ve benefited a lot from the product. I’ve recommended this to many of my colleagues and friends. I plan to expand the capacity of this course and potentially offer it online. The scalability and accessibility of Vocareum make it an ideal platform for this expansion.

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