COMPX555-23B (HAM)

Bioinformatics

15 Points

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The University of Waikato
Academic Divisions
Division of Health Engineering Computing & Science
School of Computing and Mathematical Sciences Office
Department of Computer Science

Staff

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Convenor(s)

Lecturer(s)

Administrator(s)

: buddhika.subasinghe@waikato.ac.nz

Placement/WIL Coordinator(s)

Tutor(s)

Student Representative(s)

Lab Technician(s)

Librarian(s)

: anne.ferrier-watson@waikato.ac.nz

You can contact staff by:

  • Calling +64 7 838 4466 select option 1, then enter the extension.
  • Extensions starting with 4, 5, 9 or 3 can also be direct dialled:
    • For extensions starting with 4: dial +64 7 838 extension.
    • For extensions starting with 5: dial +64 7 858 extension.
    • For extensions starting with 9: dial +64 7 837 extension.
    • For extensions starting with 3: dial +64 7 2620 + the last 3 digits of the extension e.g. 3123 = +64 7 262 0123.
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What this paper is about

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An introduction to bioinformatics: computational problems with biological data.

This course is open to senior students in computer science or biology with 45 points at 300 level in Computer Science or Ecology and Biodiversity or Molecular and Cellular Biology, which must include one of COMPX301, BIOMO302, or BIOL310; and students further require at least one university level course in statistics (e.g. STATS111, STATS121, DATAX111, DATAX121).

Background material in biology and computer science is presented at the outset to introduce students to their complement subject, followed by a survey of bioinformatics problems, including methods for analysis and applicable algorithms. Assessment is primarily based upon group work, where each team includes a mix of computer scientists and biologists who work together to solve real bioinformatics problems. A final written test is conducted in the last lecture period to facilitate individual assessment. Several guest lectures may be included to expose students to current computational biology work being undertaken locally, both in industry and in public research institutions.

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How this paper will be taught

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Content is delivered by lectures from the course coordinator [and typically from a couple of guest lecturers]. The last lecture session of the semester is an in-class test to be written in the usual lecture room.
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Required Readings

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No required reading in terms of "set" material. Students must research relevant information to complete group work.
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Learning Outcomes

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Students who successfully complete the course should be able to:

  • Address bioinformatics problems with intermediate expertise
    Linked to the following assessments:
    Project One (1)
    Project Two (2)
    Test (3)
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Assessments

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How you will be assessed

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Assessment varies from year to year based upon class size and composition. The following array of coursework is planned for this year:
  • Group Project One (30%)
  • Group Project Two (40%)
  • Test (30%) - scheduled for the last lecture period of the course
Marks are awarded for group projects based on the quality of the submitted work, but modified individually according to effort, contribution and cooperation by each group member.
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The internal assessment/exam ratio (as stated in the University Calendar) is 100:0. There is no final exam. The final exam makes up 0% of the overall mark.

The internal assessment/exam ratio (as stated in the University Calendar) is 100:0 or 0:0, whichever is more favourable for the student. The final exam makes up either 0% or 0% of the overall mark.

Component DescriptionDue Date TimePercentage of overall markSubmission MethodCompulsory
1. Project One
30
2. Project Two
40
3. Test
12 Oct 2023
1:00 PM
30
  • Hand-in: In Lecture
Assessment Total:     100    
Failing to complete a compulsory assessment component of a paper will result in an IC grade
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