Course code STAT100

STAT100 Statistics

Norsk emneinformasjon

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Showing course contents for the educational year starting in 2019 .

Course responsible: Kathrine Frey Frøslie
Teachers: Ida Marie Munthe Sakseide, Cecilie Augensen Nilsen, Hilde Vinje, Trygve Erik Almøy
ECTS credits: 10
Faculty: Faculty of Chemistry, Biotechnology and Food Science
Teaching language: NO
(NO=norsk, EN=Engelsk)
Limits of class size:
1000
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
Course contents:
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).
Learning outcome:

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 (eg. 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 (eg in the media or in reasearch) and assess the sustainability of these.

Learning activities:
Lectures or lecture videos covering central concepts of statistics, illustrated by many applied examples. The students will be organised in groups in which they are working with different practical exercises. Compulsory exercises that must be solved and approved before the exam.
Teaching support:

The course responsible is always available (by direct contact, by phone, or by e-mail). A Canvas-pages 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.

Syllabus:
Will be announced on Canvas before the semester.
Prerequisites:
ECN102, MATH100 or MATH111 (may be taken in the same semester).
Recommended prerequisites:
Mandatory activity:

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.

Assessment:
A final 3.5 hours written exam, A-F, potentially containing multiple choice tests. The final exam counts 100 %.
Nominal workload:

Lectures/colloquium groups: 52 hours.

Exercise groups: 52 hours.

Individual study: 196 hours.

Entrance requirements:
MATRS - General admission requirements or prior experiential learning, and R1 or (S1+S2) or similar mathematical skills
Reduction of credits:
STAT101
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.

Note:
The course is offered twice a year, both in the spring and autumn parallel. 
Examiner:
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