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Showing course contents for the educational year 2022 - 2023 .
Course responsible: Solve Sæbø, Kathrine Frey Frøslie, Ida Marie Munthe Sakseide
Teachers: Vegard Brandt Slevigen, Jenny Helene Mary Storvik Fjørtoft, Jon Olav Vik, Hilde Vinje, Oda Agnete Berg Havdal
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: Study year 2003-2004
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. Binomial distribution and normal distribution. 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.
A Canvas-page will always be updated.Any questions about the course must be sent to the course e-mail address: firstname.lastname@example.org. The course responsible is available by phone, or by Teams.
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).
The following knowledge is essential:
Algebraic notation, knowledge and experience with the notation of sums, fundamental calculations, the logarithmic function, solving equations and inequalities, writing numbers in standard form, general mathematical reasoning.
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.
Students must also submit weekly, written assignments, either on their own, or with a group.
Students who has fulfilled the compulsory activity in the course earlier, need not attend the compulsory activities listed above.
A final 3.5 hours written exam, A-F, potentially containing multiple choice tests. The final exam counts 100 %.
Lecture videos/indivdual study: 125 hours
Working with mandatory assessments in colloquium groups or individually: 65 hours.
Working with exercises at scheduled hours: 60 hours.
MATRS - General admission requirements or prior experiential learning, and R1 or (S1+S2) or similar mathematical skills
Reduction of credits:
DAT110 (MATH-INF110) - 5 credits reduction
Type of course:
If physical teaching is possible: 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, the grade scale, and a minimum of 25 examination papers as calibration of the evaluation, if other excersises than multiple choice are given at the final exam.
Allowed examination aids: C1 All types of calculators, other aids as specified
Examination details: Written exam: Letter grades