IC Data Day celebrates and promotes a culture of data-informed decision making for student success at Ithaca College. Data Day is a way to learn, share ideas, and get the conversation started. This year IC Data Day will take place on Thursday, October 25th in Clark and Klingenstein Lounges.
Continental breakfast and a light lunch will be available.
Please feel free to attend as many sessions as you’d like!
Data with Your Coffee
9:00 – 9:25
Dr. Yuko Mulugetta, Chief Analytics Officer, and Ferdinand Mase (Accounting ’19)
This kick-off session presents an overview of current projects Analytics and Institutional Research (AIR) is engaged in as a strategic partner for the college. Ferdinand Mase (Accounting ’19), Student Research Analyst, discusses his employment experience in AIR.
Guest Alumnus Presenter:
Careers in Analytics – How to Land Your First Data Science Job
9:25 – 10:40
Michael Garrison (Economics ’10), Data Scientist, REsurety, Inc.
Attention, students! If you seek employment in data science or renewable energy, you cannot miss this session. Michael Garrison (Economics ’10) discusses his experience as the first data scientist hired at REsurety, a renewable energy analytics start-up in Boston, specializing in helping wind projects manage their weather and price risk. He also offers advice to aspiring data scientists on how best to prepare yourself to land the job you’re looking for.
Visualizing Course Enrollment Data to Better Understand Ourselves and Our Transitions
10:50 – 12:05
Dr. Ali Erkan, Professor, Computer Science; Ben Welsh (Computer Science ’20)
As an academic institution, it is in our nature to study, to question, to explore; therefore putting ourselves under the microscope is one of the most natural things we do. The lens Dr. Ali Erkan and his student, Ben Welsh (Computer Science ’20) have chosen to use with their “microscope” is one of data visualizations. In particular, they have been working on visualizing years of course enrollment data to uncover trends that might enhance our understanding of ourselves as an academic institution as well as assess the ramifications of large scale curricular changes such as the Integrative Core Curriculum. While the project aims to reach concrete conclusions, the goal of this particular presentation is to offer to IC community a visual depiction of changes so that a critical issue for the college can progress as an academic/scientific discussion. This is a timely and important topic on the eve of the College’s Five-Year Strategic Plan and the ICC Program Review.
Come and Learn from a World Renowned Expert – How Self-Driving Cars Operate and Will Impact Our Future
12:05 – 1:25
Dr. Mark Campbell, S. C. Thomas Sze Director, John A. Mellowes ’60 Professor, Sibley School of Mechanical and Aerospace Engineering at Cornell University
Autonomous, self-driving cars have the huge potential to impact society in many ways, including taxi/bus service; shipping and delivery; and commuting to/from work. Dr. Campbell, a world renowned self-driving automobile expert, will give us an overview of the history, technological work to date and challenges, and potential future impact of self-driving cars. A key challenge is the ability to perceive the environment from the cars sensors – more specifically how a car can convert pixels from a camera to AI (artificial intelligence) of a scene with cars, cyclist, and pedestrians. Perception in self driving cars is particularly challenging, given the fast viewpoint changes and close proximity of other objects. This perceived information is typically uncertain, constantly being updated, yet must also be used for important decisions by the car, ranging from a simple change to lanes, or stopping and queuing at a traffic light. Videos, examples, and insights will be given of Cornell’s autonomous car, as well as key performers such as Google/Waymo and car companies.
Improving Decisions and Training in Sports with Big Data
1:30 – 2:30
Bryan Roberts, Associate Dean, Park School of Communications; Dr. Sebastian Harenberg, Assistant Professor, Exercise and Sport Sciences; Dr. Deborah King, Professor, Exercise and Sport Sciences
Did you know that Dean Roberts, Dr. Harenberg, and Dr. King were competitive athletes in baseball, soccer, and xc skiing, respectively? These three talented scholars and former athletes come together to discuss how data and analytics are being used for the analysis of sports in three application areas: 1) how to better analyze games using analytics and cutting-edge technologies such as GPS chips, transcribing video analysis, Heat MAPS; 2) how to discover “talents” by revealing psychological and biomechanical factors in elite athletes; and 3) how to train athletes, particularly how to prepare student athletes for superior performance.
Coming Soon – The National Survey of Student Engagement
2:40 – 2:55
Dr. Yuko Mulugetta and Elijah Earl, Analytics and Institutional Research
Analytics and Institutional Research will give a brief preview of the spring 2019 college-wide administration of the National Survey of Student Engagement (NSSE).
Avoiding Skynet – How to Prevent Machines from Doing the Thinking for Us
3:00 – 3:30
Dr. Matt Thomas, Assistant Professor, Mathematics
Machine learning has already been used effectively in many ways to improve our ability to understand the world. In this talk, Dr. Thomas will discuss some of the ways that these models can have unintended social consequences.
Analytics at IC Today and Tomorrow – Showcasing Business Analytics
3:40 – 4:30
Dr. Bill Tastle, Professor, Management; Dr. Scott Erickson, Professor, Marketing; Michael Garrison (Economics ’10), Data Scientist, REsurety, Inc.; Nick Vogel (Finance ’18), Procurement Analyst; Ferdinand Mase (Accounting ’19)
Starting this fall, the School of Business offers a Business Analytics minor. This final session explains the main features of this exciting program to the IC community. You cannot afford to miss this presentation if you are one of those who seek “forward thinking in their approach to decision making with an ability to understand the challenges of determining the right questions to ask in the midst of messy data, analyze big data, and bring the results of their analysis to a wider audience through the use of data visualization,” according to the 2018-19 course catalog.