Course Objectives and Learning Outcomes


The course introduces students to the principles of computational thinking. Programming methods and computational principles are introduced in a problem-driven way using Python and making extensive use of Python libraries. Upon completion of the course, students:

  • will have an understanding of the role computation plays in solving scientific problems
  • will value computation as foundational tool in scientific discovery
  • will have explored the impact of different algorithms on efficiency and performance
  • will have understood and applied basic programming principles
  • will have a basic understanding of programming allowing the exploration of other programming languages

Learning Outcomes

Students will be able to:

  • Analyze and abstract a problem
  • Design and implement an effective software solution for scientific problems
  • Effectively use modules of software libraries described by functional specifications
  • Understand the use and functionality of basic data structures
  • Write programs that accomplish useful goals; and visualize the results appropriately
  • Read and adapt existing programs
  • Have a basic understanding about the limits of computation and intractable problems
cs190c/objout.txt · Last modified: 2008/11/11 17:10 by cmh
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