BIOB2300 Statistics in the Laboratory Course description

The exam will be jointly marked by an internal and an external examiner. The external examiner will read a selection of the exam papers and collaborate with the internal examiner in a way that benefits all the students.

The course will cover key issues of international development assistance as it is currently organized. It will focus on processes and trends internationally and in recipient countries. Focus will be on the way aid is organized and implemented today. These issues will be illustrated through empirical case studies from Asia, Africa and Latin America.

The following themes will be included:

• Key actors in development assistance (non-traditional donors, multilateral organizations, for-profit actors)
• Aid and the Sustainable Development Goals
• New modalities of aid (budget support and performance-based aid)
• The "environmentalization", "securitization" and "marketization" of aid
• The effects of aid for recipient countries

Grade scale A-F

All answers are assessed by one examiner. An external examiner is used regularly, at a minimum of every third completion of the course. When selecting answers for external evaluation, a minimum of 10 percent of the answers shall be included, with no fewer than 5 answers. The external examiner’s assessment of the selected answers shall benefit all students.

The course consists of the following subject areas, specified below as the number of credits:

• General chemistry: 7.5 credits
• Chemical analysis principles: 2 credits
• Quality assurance: 0.5 credits

7 credits overlap with the course BIO1100 Fundamentals of Biomedical: Analysis - Chemistry, Analytical Techniques and Statistics

Calculator

A collection of table and formulas will be handed out.

Excel (available during exams)

A-F.

All exam papers are assessed by two examiners. A minimum of twenty per cent of the exam papers will be assessed by an external examiner. The external examiner’s assessment shall benefit all students.

8 credits overlap with the course BIO2300 Statistics.