managing undergraduate research – lessons learned dave musicant carleton college thursday, march...
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Managing Undergraduate Research – Lessons Learned
Dave Musicant
Carleton College
Thursday, March 8, 2007
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Who Am I? Assoc Prof at Carleton College
Liberal arts: 1900 students ~15 CS majors/year
Teaching: AI, DB, DM, PL, CS 1 & 2
My research: Machine learning and data mining Have advised 26 students, 12 projects Currently: Enchilada
Environmental Chemistry Through Intelligent Atmospheric Data Analysis
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Heavy debt to SIGCSE 2001
Managing Undergraduate CS Research
James W. McGuffee, St. Edward’s University Herbert L. Dershem, Hope College Linda Lankewicz, The University of the South Gary Lewandowski, Xavier University Dian Lopez, University of Minnesota - Morris Oberta A. Slotterbeck, Hiram College
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My criteria for selecting students
Individual Smart Quick learners Self-motivators
Group Balanced levels among them Can work well with me and others
Why groups? Support My time Community
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Finding the right projects
They know... how to program, a bit some basic algorithms
They don’t know... nuances of my field enough math good software design my tools
Programming projects work best... but can’t publish just programming
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The pace is going to be SLOW Snail factors
Other demands Procrastination Learning it all for first time
What helps? Signup for a year Meet often Email task lists
Bug tracking software Partners Reward per hour ($)
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Watch their egos
Research can go wrong Students blame themselves ... or just don’t get rewards of success
Positive reinforcement important Often
Students’ original ideas Allow to pursue?
Evaluation No grades Discussion good