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Postgraduate course

Biological Data Analysis II

  • ECTS credits5
  • Teaching semesterSpring
  • Course codeBIO302
  • Number of semesters1
  • LanguageEnglish
  • Resources

Teaching semester

Spring.

This course has a limited capacity, enrolment is based on application. Application deadline is Thursday in week 2 for the spring semester. Please see this page for more information: https://www.uib.no/en/matnat/53431/admission-courses-limited-capacity

You will receive confirmation of whether you received a spot in Studentweb no later than Tuesday the week after the deadline.

The time of the first lecture/orientation meeting can be found in the schedule on the course website or on the Mitt UiB learning platform.

Objectives and Content

The course introduces some statistical tools for regression analysis. It consists of lectures and computer based practicals, beginning with ordinary least squares and then developing other regression methods that allow the assumptions of ordinary least squared to be relaxed. The course is followed by a take home exam which covers both theoretical and practical aspects of the course.

Learning Outcomes

After completing the course, students should be able to:

  • Describe the estimator in ordinary least squares
  • Explain the assumptions of ordinary least squares and the consequences of violating these assumptions
  • Recognise when assumptions ordinary least squares are violated
  • Choose appropriate regression techniques given the properties of the data
  • Interpret regression diagnostics and plots
  • Build parsimonious models
  • Make predictions with confidence intervals
  • Analyse data in a modern statistical package
  • Have some of the statistical skills necessary for their thesis projects

Required Previous Knowledge

Bachelor in Biology or equivalent.

Recommended Previous Knowledge

BIO300B Biostatistics (5 ECTS) or equivalent.

Compulsory Assignments and Attendance

Seminars. Approved compulsory activites are valid for 6 semesters, included the semester of completion.

Forms of Assessment

Written take-home exam on a given dataset.

Grading Scale

The grading scale used is A to F. Grade A is the highest passing grade, grade F is a fail.

Assessment Semester

Exam only in semesters with teaching.

Course Evaluation

Students will evaluate the course in accordance with the quality assurance system at UiB and the Department. You can find courseevaluations in the Quality Assurance Reports.

Exam information