Using scientific data to teach a database systems course

ABSTRACT

Database systems instructors face an ongoing challenge to develop meaningful assignments for their courses. We have found that instructors can successfully use large scientific datasets in teaching a database systems course to better prepare students for real-world database systems work.

REFERENCES

• 1: John Carlis , Joseph Maguire, Mastering Data Modeling, Addison-Wesley Longman Publishing Co., Inc., Boston, MA, 2000
• 2: KDD Repository, http://kdd.ics.uci.edu/
• 3: McTighe, Jay and Wiggins, G., Understanding by Design, Prentice Hall, 2000.
• 4: NASA Distributed Archive Center, http://daac.gsfc.nasa.gov/
• 5: Perry, William, Forms of Intellectual Development in the College Years, Jossey-Bass, 1999.
• 6: PIR, http://pir.georgetown.edu/
• 7: PROSITE, http://www.expasy.ch/prosite/
• 8: Protein Data Bank (PDB), http://www.rcsb.org/pdb/
• 9: Abraham Silberschatz , Henry F. Korth , S. Sudershan, Database System Concepts, McGraw-Hill, Inc., New York, NY, 1998
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INDEX TERMS

Primary Classification:
  K. Computing Milieux
  K.3 COMPUTERS AND EDUCATION
      K.3.2 Computer and Information Science Education
          Subjects: Computer science education

General Terms:
Design, Experimentation, Management

Keywords:
database, scientific, systems, teaching