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Beyond Data and Digits: My Teaching Experiences in the CSI Department

Beyond Data and Digits: My Teaching Experiences in the CSI Department. Goutam Paul Computer Science Department SUNY Albany SKILL 2003 Conference, Nov 1, 2003. Organization of the talk. Background Introduction Communication Academics Personalism. Organization of the talk. Warning

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Beyond Data and Digits: My Teaching Experiences in the CSI Department

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  1. Beyond Data and Digits:My Teaching Experiences in the CSI Department Goutam Paul Computer Science Department SUNY Albany SKILL 2003 Conference, Nov 1, 2003

  2. Organization of the talk • Background • Introduction • Communication • Academics • Personalism Goutam Paul Computer Science, SUNYA

  3. Organization of the talk • Warning • The dark side! • Reward • Self-improvement • Conclusion Goutam Paul Computer Science, SUNYA

  4. Background • As a Student • Bachelors in Computer Engineering • Masters in Computer Science • Doing PhD in Artificial Intelligence Goutam Paul Computer Science, SUNYA

  5. Background • As a TA • Both undergrad and grad courses • From 101 to 500 level courses • Both theoretical and programming courses • Both Discussion session and Grading Goutam Paul Computer Science, SUNYA

  6. Background • As an instructor • Taught undergrad level course • Supervised a TA Goutam Paul Computer Science, SUNYA

  7. Introduction • Complete Picture = Background + Foreground • Dynamic Environment • Interactive • Extempore Goutam Paul Computer Science, SUNYA

  8. Communication • Students from different background, different countries • Be open • Pronunciation • Go slow Goutam Paul Computer Science, SUNYA

  9. Academic Lessons • No copy-book teaching • Prepare before teaching • Design own examples • Matrix multiplication: cost table = price table × quantity table Goutam Paul Computer Science, SUNYA

  10. Academic Lessons • Find real world analogy • Graph theory: geographical planning mapquest • Encourage questions • Ask questions to generate questions: definitions proof steps Goutam Paul Computer Science, SUNYA

  11. Academic Lessons • Back theory with applications • Matrix: computer graphics • Graphs: computer networking Goutam Paul Computer Science, SUNYA

  12. Personalism • Office hours • Be professional, not official • Not limited to office hours • Entertain corridor attacks Goutam Paul Computer Science, SUNYA

  13. Personalism • Email • Respond at least something • Put yourself in their shoes • Recall your expectation from your own TA Goutam Paul Computer Science, SUNYA

  14. Warning • Help ≠ Solution • Programming: hand-coding vs loud thinking • Debugging: logical vs syntactical errors • Be aware of trick questions • which may extract solutions Goutam Paul Computer Science, SUNYA

  15. Warning • Dramatic excuses • Grandpa dying twice • Computer crashing at the last moment Goutam Paul Computer Science, SUNYA

  16. The Dark Side! • Threats • Eye contacts • Facial expressions • Verbal • Email • Maybe physical Goutam Paul Computer Science, SUNYA

  17. The Dark Side! • In response • Your body language • Filter what is relevant, ignore rest • Inform the supervisor Goutam Paul Computer Science, SUNYA

  18. Rewards • Experience • Appreciation • Observation • Attendance • Attitude • Proof • Evaluation Goutam Paul Computer Science, SUNYA

  19. Self-improvement • The more you teach, the more you learn • Mock teaching • Proof of learning • How well do you explain to others Goutam Paul Computer Science, SUNYA

  20. Self-improvement • Observe your own TAs • What do you expect, what you don’t • In one sense • Teaching is Preaching Goutam Paul Computer Science, SUNYA

  21. Conclusion • Teaching is at the same time • Teaching • Learning • Fun • Serious • Honesty (no ego) • You may not know everything • Be aware of your limitations Goutam Paul Computer Science, SUNYA

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