STAT101 Project Based Introduction to Statistics
There may be changes to the course due to to corona restrictions. See Canvas and StudentWeb for info.
Showing course contents for the educational year 2018 - 2019 .
Course responsible: Hilde Vinje, Trygve Erik Almøy
ECTS credits: 10
Faculty: Faculty of Chemistry, Biotechnology and Food Science
Teaching language: NO
Limits of class size:
Teaching exam periods:
The course takes place in the autumn parallell 2018 and runs parallel to STAT100 this semester.
Course frequency: Autumn 2018
First time: 2018H
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 and T-tests. Simple linear regression. One-way analysis of variance. Chi square tests. Application of simple statistical software (R Commander).
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. They should understand the importance of having good data in order to draw useful and correct conclusions from a survey. They should also be able to ask critical questions about the statistical results presented to them (eg in the media) and assess the sustainability of these.
SKILLS: The students should be able to apply the learned methods on simple problems in their own studies and later in their professional life. The students should be able to carry out simple statistical analyzes. They should be able to interpret the results from the analyzes and communicate what has been done, the results as well as the weaknesses and limitations of the analyzes.
The course will be project-based. The first 3 weeks, as an introduction, the course will follow STAT100 lectures, as well as assignments.
The rest of the course will be based on two project assignments that will be presented and evaluated. Lecture videos that go through key concepts of the curriculum and some basic methods for statistical analysis, as well as exercises corresponding to STAT100 will be available throughout the course. The students will, in small groups, be assigned two major project where they themselves are responsible for learning the necessary methods to solve these tasks. There will be group exercises twice a week where there are opportunities to work with the project with the course responsible present.
At the same time there will be up to four compulsory meetings between the students where they present the projects for each other and the course responsible. At these gatherings they will comment and discuss the results and the progress they have had as well as guidance for further work.
The course responsible is always available (by direct contact, by phone, or by e-mail). There are group exercises twice a week where the course coordinator is present for discussion and supervision. Web pages will always be updated. In addition the course responsible will be available during the compulsory sessions to control, guide and join the discussion that arise. STAT101 students can also use STAT100 exercises and exercise classes with questions they may have.
Will be announced on the course website before the semester.
MATH100 or MATH111 (may be taken in the same semester).
It will throughout the semester be up to four mandatory meetings where the projects they are working on are presented, discussed and further worked on. Ecxept for these, the students themselves are responsible for their own progress on their projects.
Two major projects will be completed during the semester. These will, together with an oral consultation based on the projects, count 50% of the final grade.
A multiple choice exam will count the remaining 50% of the final grade.
An individual hearing at the end with questions about the project will count the remaining 50% of the grade.
MATRS - General admission requirements or prior experiential learning, and R1 or (S1+S2) or similar mathematical skills
An application letter must be written for those who wish to join where they write something about motivation and background to want to follow this course.
Reduction of credits:
Type of course:
Most of the course will be self-study and the student will be responsible for finishing their projects.
There will be no teaching in addition to the group exercises and the compulsory sessions mentioned in Learning activities, but students will be able to access lecture videos and exercises that are strongly recommended to work with to complete their projects. They can also participate on STAT100 groups.
The course overlap completely with STAT100 in syllabus and credits.
This is a new course, created for those who like to work and acquire knowledge through the ability to run a project.The assignments can be real, simplifies research projects, entrepreneurs who want a simple data analysis or a simulated dataset designed to reflect a real scenario.
The final result should reflect the Course contents and Learning outcome corresponding to STAT100.
An external sensor is used in the course for review of project assignments and the hearings.
Examination details: Continuous exam: A - E / Ikke bestått