course-details-portlet

VB6200 - Statistics

About

Examination arrangement

Examination arrangement: Digital exam and work
Grade: Letters

Evaluation Weighting Duration Grade deviation Examination aids
Work 30/100
Digital school exam 70/100 3 hours C

Course content

Basic part (5 credits): Descriptive statistics. Probability of events, combinatorics and conditional probability. Stochastic variables, expectation and variance. Covariance, correlation and independence. Common probability distributions (e.g., binomial, poisson, exponential and normal distribution). The central limit theorem. Parameter estimation and confidence intervals. One-sample hypothesis tests. Simple linear regression.

Special part (2.5 credits): Experimental design: Two-factor experimental design, block pairing, analysis of methods for repeated and non-repeated experiments. Statistical quality control: Sources of variation, random sampling, control charts for expected values, standard deviations and count data, and capability indexes.

Learning outcome

Knowledge

The candidate is familiar with the basic ideas in probability and statistics. The candidate has knowledge about simple statistical models and processes that are often used within their field of study. The candidate knows how to use statistics in a comprehensive way and understands that statistics is a necessary tool for measuring, describing and evaluating results. The student also knows how to use basic statistical inference methods to describe processes and populations based on independent trials and random samples. The candidate has knowledge of experimental design and statistical process control.​

 

Skills

The candidate can

  • Present and describe the characteristics of a data material using descriptive statistics, tables and figures
  • Calculate the probability of events and conditional probabilities, using e.g. combinatorics, stochastic variables, the most common probability distributions (e.g., binomial, poisson, exponential and normal distribution) and the central limit theorem.
  • Perform simple methods for statistical inference such as parameter estimation, confidence intervals, one-sample hypothesis tests, correlation and simple linear regression
  • apply statistical principles and concepts in his/hers professional field
  • use Python, or a similar statistical software, to perform basic statistical analysis
  • interpret data material and results from statistical analysis related to experimental and statistical process control

 

General competence

The candidate sees the importance of statistical knowledge and expertise in the engineering role and is able to communicate with professionals about engineering problems by using statistical concepts and expressions. The candidate has gained confidence in simple statistical analysis, two-factor experiments and statistical process control through student activities such as exercises and project work. This competence provides a platform for further engineering studies, and for various types of applications in industry, consulting and the public sector.

Learning methods and activities

Online lectures, gatherings, collaborative project work and exercises.

Compulsory assignments

  • Exercises

Specific conditions

Compulsory activities from previous semester may be approved by the department.

Admission to a programme of study is required:
Continuing Education, Faculty of Engineering Science and Technology (TKIVTEVU)

Course materials

Gunnar Løvås: Statistikk for universiteter og høgskoler. Online resources, video lectures, and a compendium in experimental design.

Credit reductions

Course code Reduction From To
ISTT1001 7.5 AUTUMN 2021
ISTA1001 7.5 AUTUMN 2021
ISTG1001 7.5 AUTUMN 2021
ISTA1002 5.0 AUTUMN 2021
ISTG1002 5.0 AUTUMN 2021
ISTT1002 5.0 AUTUMN 2021
ISTA1003 5.0 AUTUMN 2021
ISTG1003 5.0 AUTUMN 2021
ISTT1003 5.0 AUTUMN 2021
TALM1005 5.0 AUTUMN 2021
TDAT2001 5.0 AUTUMN 2021
IE203312 5.0 AUTUMN 2021
IR201812 5.0 AUTUMN 2021
IR201712 4.0 AUTUMN 2021
SMF2251 5.0 AUTUMN 2021
More on the course

No

Facts

Version: 1
Credits:  7.5 SP
Study level: Further education, lower degree level

Coursework

Term no.: 1
Teaching semester:  AUTUMN 2021

Language of instruction: Norwegian

Location: Gjøvik

Subject area(s)
  • Mathematics
Contact information
Course coordinator: Lecturer(s):

Department with academic responsibility
Department of Mathematical Sciences

Department with administrative responsibility
Centre for Continuing Education and Professional Development

Examination

Examination arrangement: Digital exam and work

Term Status code Evaluation Weighting Examination aids Date Time Examination system Room *
Autumn ORD Digital school exam 70/100 C 2021-10-29 09:00 INSPERA
Room Building Number of candidates
M433-Eksamensrom 4.etg Mustad, Inngang A 0
Autumn ORD Work 30/100

Release
2021-11-15

Submission
2021-11-29


09:00


09:00

INSPERA
Room Building Number of candidates
  • * The location (room) for a written examination is published 3 days before examination date. If more than one room is listed, you will find your room at Studentweb.
Examination

For more information regarding registration for examination and examination procedures, see "Innsida - Exams"

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