Programplaner og emneplaner - Student
FARB2200 Physiology and Pharmacology 1 Course description
- Course name in Norwegian
- Fysiologi og farmakologi 1
- Study programme
-
Pharmacy Programme
- Weight
- 15.0 ECTS
- Year of study
- 2025/2026
- Curriculum
-
FALL 2025
- Schedule
- Programme description
- Course history
-
Introduction
All aids are permitted for the written part of the exam. The student can bring a copy of his/her bachelor’s thesis to the oral exam.
Required preliminary courses
Grade scale A-F
Learning outcomes
All answers are assessed by two examiners. 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.
Content
Subjects covered by the course, with credits specified:
- Physiology 6 credits
- Pharmacology 9 credits
Teaching and learning methods
The course consists of the following subject areas, specified below with the number of credits:
- Selected subject area 13 credits
- Research Methods 2 credits
Course requirements
- 15 credits overlap with the course FARMA3900 Bachelor’s Thesis
Assessment
Supervised individual written exam, 6 hours.
Permitted exam materials and equipment
Alphanumeric/financial calculator with cleared memory. A digital calculator is available to the student during the exam.
Grading scale
Grade scale A-F
Examiners
All answers are assessed by two examiners. 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.
Overlapping courses
This course aims to provide students with an understanding of how data and statistical analysis can improve economic, managerial and business decision making. Students will learn how to develop empirical questions, collect and organize relevant quantitative data, apply appropriate statistical methods, and ultimately, make better business and policy decisions. The course will draw on a wide range of business and economic applications, such as finance, advertising, internet retailing, and human resources.
Language of instruction is English.