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Showing course contents for the educational year starting in 2020 .
Course responsible: Kathrine Frey Frøslie
Teachers: Jon Olav Vik, Hilde Vinje
ECTS credits: 10
Faculty: Faculty of Chemistry, Biotechnology and Food Science
Teaching language: NO
Limits of class size:
Teaching exam periods:
This course starts in the parallel. This course has teaching/evaluation both in Autumn parallel and Spring parallel.
Course frequency: Each spring and autumn
First time: 2003H
Numerical literacy and a basic understanding of quantitative research methods are cornerstones of scientific knowledge and communication within the fields of science and medicine. Therefore, in almost all educations in these fields, there is a mandatory course in introductory statistics, often at the bachelor level.
Topics that are addressed in this course: Descriptive statistics. Basic probability, conditional probability, discrete and continuous variables, expectation and variance. Covariance, correlation, and independence. Estimation, confidence intervals, and hypothesis testing. Z-tests, T-tests and non-parametric test. Simple linear regression. One-way analysis of variance. Chi square tests. Application of simple statistical software (R).
KNOWLEDGE: The students will learn the basic concepts in probability theory and statistics. They will get familiar with the assumptions and the applications of the most commonly used statistical methods applied in science and everyday life.
SKILLS: The students should be able to carry out simple statistical analyzes. They should be able to interpret the results of the analyzes and pass on what has been done, the results and the weaknesses and limitations of the analyzes. They should understand the importance of having good data (e.g. representativeness, independence) in order to draw useful and correct conclusions from a survey.
GENERAL COMPETENCE: The students should be able to apply what they have learned to simple problems in their studies and later in the professional life and perform simple analyzes on their own data. They should also be able to ask critical questions about the statistical results presented to them (e.g. in the media or in reasearch) and assess the sustainability of these.
Since 2016, "flipped classroom" teaching has been practiced in STAT100: Students are expected to watch educational videos at home, and work actively with discussion exercises in groups while at campus, under supervision of teachers.
This is a way to introduce the students to the culture and idiosyncrasies of statistical reasoning, i.e. scientific thinking, early in their studies. Such knowledge is central in the perspective of lifelong learning, and is in accordance with UNESCO’s recent recommendations to high quality education on sustainable development at all levels and in all social contexts.
The course responsible is available (by direct contact, by phone, or by e-mail). A Canvas-page will always be updated.
In the colloquium sessions one responisble teacher, as well as up to four colloquium teachers, present. Assistant teachers are available during group sessions.
Will be announced on Canvas before the semester.
ECN102, MATH100 or MATH111 (may be taken in the same semester).
There will be weekly online assignments of which 80 % must be approved throughout the course. In order to get each assignment approved 50 % of the exercises must be correctly answered.
The students may choose between studying individually or in study groups.
Those who choose to study individually, have no compulsory attendance, but must hand in compulsory, weekly assignments.
Students who choose the study groups are divided into groups by the course organisers, and are required to attend compulsory group sessions twice a week, two hours for each session.
Students who has earlier approved compulsory activity in the course, need not attend the compulsory activities listed above, but may attend voluntarily.
A final 3.5 hours written exam, A-F, potentially containing multiple choice tests. The final exam counts 100 %.
Lectures/colloquium groups: 52 hours.
Exercise groups: 52 hours.
Individual study: 196 hours.
MATRS - General admission requirements or prior experiential learning, and R1 or (S1+S2) or similar mathematical skills
Reduction of credits:
STAT101 - full reduction
DAT210(MATH-INF110) - 5 credits reduction
Type of course:
The course will entirely or partly follow a so-called "flipped classroom" style for 4 hours a week. Flipped classroom means that the students watch lecture-videos (2-4 hours homework per week) as preparation for colloquium groups. During the colloquium group work the course responsible and teacher-assistants will circulate the groups and discuss problems and exercises. As a replacement for colloquium groups, regular lectures may be given at the start, during and/or at the end of the course. Information about this will be given in the beginning of the course.
Attendance at exercise groups is voluntary, but the work load is normed to 4 hours a week.
The course is offered twice a year, both in the spring and autumn parallel.
An external examiner evaluates all exam question and selected examination papers as calibration of the evaluation if other excersises than multiple choice are given at the final exam.
Allowed examination aids: C1 Alle typer kalkulatorer, spesifiserte andre hjelpemidler
Examination details: One written exam: A - E / Ikke bestått