{"id":538492,"date":"2022-10-25T12:59:33","date_gmt":"2022-10-25T16:59:33","guid":{"rendered":"https:\/\/www.rochester.edu\/newscenter\/?p=538492"},"modified":"2025-01-21T20:34:42","modified_gmt":"2025-01-22T01:34:42","slug":"ajay-anand-when-learning-data-science-experience-is-the-best-teacher-538492","status":"publish","type":"post","link":"https:\/\/www.rochester.edu\/newscenter\/ajay-anand-when-learning-data-science-experience-is-the-best-teacher-538492\/","title":{"rendered":"Ajay Anand: When learning data science, experience is the best teacher"},"content":{"rendered":"

The deputy director of the Goergen Institute for Data Science has grown a capstone course that offers students hands-on projects with real data.<\/h2>\n

In Ajay Anand\u2019s data science capstone course, student teams are matched with corporate, government, and academic sponsors based on their technical interests. Each team conducts analytics projects using data provided by their sponsors.<\/p>\n

\u201cIt\u2019s terrific for the students,\u201d says Anand, an associate professor and the deputy director of the Goergen Institute for Data Science at the University of Rochester. \u201cMany times (in a classroom), the focus is on methods and techniques, so the data is clean and pristine. But that\u2019s not the case in the real world. You\u2019re trying to expose students to the reality that they must be ready to work with what we call messy data\u2014data that needs to be cleaned and perfected before it can be analyzed.\u201d<\/p>\n

The number of capstone projects has grown from 20 to 110 since Anand joined the University in 2017, with more than 70 sponsors. Some projects are done virtually, allowing students to work with startups and multinational companies in places as far away as Silicon Valley in Northern California. Others are right next door. \u201cWe\u2019ve partnered with the University Facilities and Services\u2019 Utilities and Energy Management Department, with our Medical Center, and with many academic units on the River Campus who are interested in tracking student outcomes,\u201d Anand says.<\/p>\n

Bringing the lessons of industry to academia<\/strong><\/h3>\n
\"Ajay
Ajay Anand. (University of Rochester photo \/ J. Adam Fenster)<\/figcaption><\/figure>\n

Anand spent 12 years in the corporate world before coming to the University in 2017. He says there\u2019s no replacement for experiential learning.<\/p>\n

\u201cMy own experience has been invaluable as a teacher,\u201d he says. \u201cIn industry, multiple things must come together when designing a product or preparing a solution that makes an impact on people\u2019s lives. You don\u2019t design a technical solution just to design it; you do so with customer needs in mind.\u201d<\/p>\n

Anand grew up in Mumbai (formerly Bombay), India, \u201cwith a passion for engineering and anything related to math.\u201d He earned a bachelor\u2019s degree in electronics engineering at the University of Bombay before heading to the United States. Before earning a PhD in electrical engineering from the University of Washington in 2005, he earned a master\u2019s in biomedical engineering from the University of Texas.<\/p>\n

Then, he faced a crossroads.<\/p>\n

\u201cI had to choose between pursuing a career in industry or academia,\u201d he says. \u201cAnd I chose industry.\u201d<\/p>\n

Ajay spent 12 years in the medical imaging industry, including time at Philips Research in Briarcliff Manor, New York and Carestream Health in Rochester as senior research scientist and technical project manager. While at Carestream Health, a worldwide provider of medical imaging systems, one of the collaborators was the University of Rochester, and Anand became interested in what he calls the \u201crevolution\u201d happening in data science and artificial intelligence. When Wegmans Hall opened on the River Campus in 2017 as the home to the Goergen Institute for Data Science, Anand joined the faculty and became deputy director.<\/p>\n

A curriculum that reflects a dynamic field<\/strong><\/h3>\n

Anand believes that, in the fast-paced field of technology, it is well-defined, project-based experiences that create an environment for innovation. His goal is to keep the Goergen Institute\u2019s curriculum as fluid as the expanding field of data science, creating new courses to keep the existing curriculum relevant.<\/p>\n

\u201cAjay took the initiative to launch a new course, Time-Series Analysis and Forecasting in Data Science, after recognizing there was a gap in the curriculum and observing that this is a sought-after skill for data science professionals,\u201d says Mujdat Cetin, the Robin and Tim Wentworth director of the Goergen Institute. \u201cIn developing the course content, he combined classical techniques with modern emerging methods, including machine learning and deep learning applied to time-series analysis.\u201d<\/p>\n

Anand\u2019s goal is for students to \u201cbring out the best in themselves\u201d through a solid understanding of the material combined with opportunities to apply that understanding to real-world problems. \u201cMy challenge to the companies who serve as sponsors is to provide those real-world datasets to us that students can work on,\u201d he says.<\/p>\n

Students who have graduated say Anand\u2019s lessons stay with them. \u201cI\u2019m currently taking the master\u2019s level capstone course in Chicago,\u201d says Haoyu Chen \u201921. \u201cAnd I\u2019m so much more at ease with the expectations of this course than my peers because of Professor Anand\u2019s class in Rochester. He has organized the course in such a way that students must independently own and drive the project and be responsible for the technical decisions, while providing enough technical oversight to ensure projects stay on course. He\u2019s one of the best instructors I\u2019ve come across.\u201d<\/p>\n

\n

What Ajay Anand\u2019s students are saying<\/strong><\/h3>\n

\u201cProfessor Anand is undoubtedly one of the best professors I had during my undergraduate education here at the University of Rochester. His delivery of the material stood out. He was always thorough in preparing the slides and course materials, and his course organization was excellent, with well-defined rubrics for each assignment and project.\u201d
\n\u2014Sung Beom Park \u201921<\/em><\/p>\n

\u201cAs a teaching assistant, I observed that Professor Anand goes out of his way to ensure a good rapport between the students, TAs, and the instructor. He would meet weekly with the TAs. In the meeting, he would walk through the entire problem set in the assignment and make sure we were clear on
\nthe expectation from students. He laid out a detailed rubric as well. This greatly helped make sure that my office hour was productive and educational to the students.\u201d
\n\u2014Chuqin Wu \u201922<\/em><\/p>\n

\u201cProfessor Anand would integrate real-world examples with the core foundational concepts to help students bridge the connection between theory and applications. He created easy-to-understand slides and teaching materials. I refer to his slides even today. He\u2019s very approachable to students and goes out of his way to ensure that students can easily approach him with questions and concerns.\u201d
\n\u2014Haoyu Chen \u201921<\/em><\/p><\/blockquote>\n","protected":false},"excerpt":{"rendered":"

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