Transcript Board of Advocates Fall 2015 Computer Science Report

BOARD OF ADVOCATES
October 9, 2015
UPDATES
• ABET
• Accredited until 2021
• Passed with only 1 concern
• Must be addressed by next visit
• “[Students will have] an understanding of professional, ethical, legal, security and
social issues and responsibilities”
• Only 1 hour course to cover
• Now three hour ethics course offered by Philosophy
• ECS wants coordinate all 3 (ME, ECE and CS) into one visit
UPDATES
• Ph.D. Proposal
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Passed Graduate Curriculum Meeting (9/30)
Passed Graduate Council (10/2)
Council of Deans (November?)
Provost
Board of Regents (Early spring?)
UPDATES
• Moving to Hankamer
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Remodel
Third Floor Offices
Second Floor Labs (Cashion)
Classrooms (Cashion)
Research Labs
ICPC Lab
• Communication with ECS
UPDATES
• Dr. Young-Rae Cho promoted to Associate Professor & Tenured
• ICPC World Finals in Morocco (2015) & Thailand (2016)
• Dr. Michael Poor NSF grant award gesture computing
• Computer Science Industrial Board meeting 10/23
• New courses
• Security – Dr. Jeff Donahoo
• Embedded Systems – Dr. Paul Grabow
• Game Design – Dr. Matthew Fendt
DATA SCIENCE
Undergraduate degree, graduate degree or not worth it?
OVERVIEW
• What is Data Science?
• Why an undergraduate degree?
• How can we implement it?
• Where – Baylor!
• When – Fall 2017
WHAT IS DATA SCIENCE?
• “Simply put, Data Science is where computer science and statistics come
together to shape the future through data. ” – Paul Anderson, Director Data
Science, College of Charleston
• “Data Science is the study of the generalizable extraction of knowledge
from data.” – Vasant Dhar, CACM December 2013
• New paradigm of knowledge discovery
• Experimental
• Theoretical
• Computational
WHY? - VITALLY IMPORTANT
• Increasingly, scientific breakthroughs will be powered by advanced
computing capabilities that help researchers manipulate and explore
massive datasets. – The Fourth Paradigm, Hay et al 2009
• 96% of midmarket companies are using big data or planning to start in the
near future – Dell survey 2014
• “Information is the oil of the 21st century, and analytics is the combustion
engine.” - Peter Sondergaard, Senior Vice President, Gartner Research.
• "The goal is to turn data into information, and information into insight." – Carly
Fiorina, former chief executive of Hewlett-Packard Company
• “Data is the new science. Big Data holds the answers.” - Pat Gelsinger, the
Chief Executive Officer of VMware, Inc.
WHY? - HEAVY DEMAND
• “In recent years, our graduates have enjoyed a 100% placement success
rate, and Department of Labor statistics project a 25% growth rate in
employment through the year 2018.” – University of Iowa Business Analytics
• “Data Scientist: The Sexiest Job of the 21st Century” – Harvard Business
Review
• McKinsey & Company projects that by 2018 there will be a shortage of
anywhere from 140,000 to 180,000 [of] data scientists -- SMU
• Average salary $91K
WHY? - COMPETITION
• University of Michigan $100M data science initiative
• “New educational opportunities for students”
• Hire 35 new faculty
• 100+ graduate programs worldwide
• Stanford, UC Berkeley, Georgia Tech, Columbia, CMU, SMU, A&M, etc.
• Seven undergraduate programs
• Iowa (Business Analytics), Ohio State
HOW? - OHIO STATE MODEL
• General Education Requirements (13 courses)
• Core Requirements
• Cal II + Linear Algebra
• Eight CS courses
• Advanced Database
• Data Mining
• Visualization
• Seven Stats courses
• Specialization
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Biomedical Informatics (9 biology/bioinformatics courses)
Business Analytics (7 business courses)
Computational Analytics (4 courses)
Capstone
HOW? - INFORMATICS MODEL
• Bioinformatics
• Balance Computer Science-Statistics
• 33 Hours CS
• 23 Hours Stats
• Stats major 27 hours + Cal III
• 12 Hours Data Science Courses
• CSI 4352 – Data Mining
• CSI 4xxx – Big Data Analytics
• Others?
HOW? - COMPUTER SCIENCE
TRACK MODEL
• Software Engineering & Gaming Concentrations
• Computer Science Degree + Extra Stats
• 55 Hours CS
• 15 Hours Stats
• Stats minor 18 hours
NEED HELP
• What?
• Something else?
• Why?
• Missing something?
• How?
• Preference?
• Alternative?