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Showing course contents for the educational year 2015 - 2016 .
ECTS credits: 10
Faculty: Department of Chemistry, Biotechnology and Food Science
Teaching language: NO
Teaching exam periods:
This course starts in the parallel. This course has teaching/evaluation in Autumn parallel and Spring parallel, .
Course frequency: Each spring and autumn
First time: 2003H
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 and T-tests. Simple linear regression. One-way analysis of variance. Chi square tests. Application of simple statistical software (Minitab and/or R).
The students will learn the basic concepts in statistics. They will get familiar with the assumptions and the applications of the most commonly used statistical methods applied in science and everyday life. The students will be able to apply such methods on simple problems in their own studies. Through the exercises (both compulsory and optional) on real data, the students must prove that they have acquired the basic knowledge.
The lecturer will discuss 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.
The teacher is always available (by direct contact, by phone, or by e-mail email@example.com). Web pages will always be updated. Assistant teachers are available during group sessions (or anytime).
Will be announced on the course website before the semester.
MATH100 or MATH111 (may be taken in the same semester).
There will be several compulsory assignments for the students to hand in and have approved before the exam. Students who are retaking the course, must hand in new assignments.
0.75 hours multiple choice test (mid semester) weight 20 %, 3.5 hours written examination, also containing multiple choice tests (weight 80 %).
Lectures: 56 hours.
Group work: 56 hours.
Individual study: 188 hours.
MATRS - General admission requirements or prior experiential learning, and R1 or (S1+S2) or similar mathematical skills
Type of course:
Lectures covering new material: 4 hours per week. Teaching in groups where the students do calculation exercises related to the lectures. The students may choose the number of exercise groups to attend per week.
The course is offered twice a year, both in the spring and autumn parallel. Students who are retaking the course must hand in new assignments.
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: All types of calculators, all other aids.
Examination details: Continuous exam: A - E / Ikke bestått