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A Practical Guide to Phylogenetics for Nonexperts
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A first course in computing with applications to biology.

Ran Libeskind-Hadas1, Eliot Bush

  • 1Department of Computer Science, Harvey Mudd College, Claremont, CA 91711, USA. Tel.: +909-621-8976; Fax: +909-621-8465; hadas@cs.hmc.edu.

Briefings in Bioinformatics
|March 2, 2013
PubMed
Summary
This summary is machine-generated.

First-year undergraduate biology students learned computational thinking and programming skills. This foundational training empowers them to solve biological problems using software throughout their academic careers.

Keywords:
bioinformaticscomputational biologyeducation

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Area of Science:

  • Computational Biology
  • Undergraduate Science Education

Background:

  • Undergraduate biology curricula often lack foundational computing skills.
  • Early exposure to computational thinking is crucial for modern biological research.

Purpose of the Study:

  • To develop and assess a first-year undergraduate course integrating computational thinking and programming with biological problems.
  • To evaluate both learning and affective outcomes in students undertaking the course.

Main Methods:

  • Course design focused on problem formulation, algorithmic solutions, software implementation, and testing.
  • Assessment included data collection on student learning gains and attitudes towards computational methods.

Main Results:

  • Students demonstrated acquisition of core computational thinking and programming competencies.
  • Positive affective outcomes were observed, indicating increased confidence and interest in using computational tools.

Conclusions:

  • Integrating computational skills early in undergraduate biology education is effective.
  • This approach equips students with essential tools for exploring complex biological phenomena.