Vocareum Deploys Cloud-Based Online Learning Lab With University Of Notre Dame To Educate The Next Generation Of Data Scientists
SAN JOSE, Calif., April 25, 2017 /PRNewswire/ — In a global digital economy, the role of data in making mission-critical decisions is increasing exponentially, leading to greater demand for data scientists and college graduates with a background in analytics. To address this growing worldwide demand for talent, Vocareum, a leader in cloud-based labs for coding classes, announces the launch of an online lab with the University of Notre Dame to educate the next generation of data scientists and analysts. «We value this opportunity to work with Notre Dame to leverage cloud computing to deliver the tools that our data scientists will need to succeed in the future,» says Sanjay Srivastava, the CEO of Vocareum.
Vocareum’s cloud-based environment provides instructors with a user-friendly and pedagogically effective workbench for setting up and grading problems in development environments such as R-Studio and Jupyter Notebook, and in multiple languages, including R and Python. Instructors can set up auto-graded problems to provide students with immediate feedback, manually grade student assignments, and provide in-line comments on code.
Embedded within the curriculum for Notre Dame’s new online Master of Science in Applied and Computational Mathematics and Statistics: Data Science Specialization, Vocareum will be used for multiple aspects of student learning and assessments including: creating practice problems, hosting homework sets, recording grades in the Learning Management System (LMS), and communicating grades and feedback to students.
By using Vocareum, Notre Dame will be able to deploy its online classes much faster and more cost effectively — until recently, the big challenge in supporting such classes has been the cost and complexity of setting up labs and compute clusters to meet the need for an up-to-date range of programming languages and analytics tools. Student work, big data sets, computation and visualization environments all present additional administrative burdens. Now with Vocareum, Notre Dame faculty and graduate students get everything in one place.
«We need learning solutions that are current, easy to use, and scalable across a large number of technical disciplines. Vocareum really fits the bill,» says Elliott Visconsi, Chief Academic Digital Officer at the University of Notre Dame. Professor Steven Buechler, Faculty Director of Notre Dame’s new online data science graduate program, adds that «we were attracted to Vocareum because it offers an extensive set of utilities built on top of AWS, giving us the flexibility to configure a cost-effective computing hub for the diverse tools we’ll be teaching across our Data Science program.»
Vocareum is a learning management system (LMS) built specifically for coding instruction. With capabilities like grading automation, plagiarism detection and learning analytics that are missing in horizontal LMS offerings, Vocareum significantly improves assessment efficiency, student engagement, collaboration strategies and learning analytics. By moving student work to the cloud and leveraging cloud computing resources, we make it possible to deliver cost-effective and current computing labs to our partners.
About Notre Dame’s Online Masters of Data Science
The online Master of Science in Applied and Computational Mathematics and Statistics: Data Science Specialization program from the University of Notre Dame is designed to prepare graduates for immediate career growth and long-term success as data scientists. Shaped by Notre Dame’s mission to be a force for good in the world, the 21-month degree program, offered at half-time pace to fit the schedule of working professionals, features the flexibility of online learning, small classes led by Notre Dame faculty and exclusive in-person weekend immersions with faculty, industry experts and thought leaders at Notre Dame and in Silicon Valley. In addition to essential foundation courses in statistics, mathematics and computer science, the multidisciplinary curriculum also features data science ethics, storytelling and communications; data science as a business process; behavioral data science; case studies; and practical applications drawn from industry. Offered by the Department of Applied and Computational Mathematics and Statistics, with the collaboration of the Department of Computer Science and Engineering, the Mendoza College of Business and the Department of Psychology, this degree program is designed to prepare graduates for careers as data scientists in a wide range of industry fields including management, marketing, information technology, government policy, health care, finance, education and scientific research.
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