02402 Statistics (Polytechnical Foundation)

2024/2025

Lectures are given in English in spring semesters and in Danish in fall semesters. See more under "Remarks".
Course information
Statistik (Polyteknisk grundlag)
Danish
5
BSc
Offered as a single course
Basic Natural Science Courses, see more
Basic Natural Science Courses, Architectural Engineering
Basic Natural Science Courses, Mechanical Engineering
Basic Natural Science Courses, Data Science and Management
Basic Natural Science Courses, Biotechnology
Basic Natural Science Courses, Cybertechnology
Basic Natural Science Courses, Mathematics and Technology
Basic Natural Science Courses, Environmental Engineering
Basic Natural Science Courses, Software Technology
Basic Natural Science Courses, Civil Engineering
Basic Natural Science Courses, Human Life Science Engineering
Polytechnical foundation (BSc), see more
Polytechnical foundation (BSc), Architectural Engineering
Polytechnical foundation (BSc), Sustainable Energy Design
Polytechnical foundation (BSc), Biomedical Engineering
Polytechnical foundation (BSc), Computer Engineering
Polytechnical foundation (BSc), Data Science and Management
Polytechnical foundation (BSc), Earth and Space Physics and Engineering
Polytechnical foundation (BSc), Chemistry and Technology
Polytechnical foundation (BSc), Civil Engineering
Polytechnical foundation (BSc), Design and Innovation
Polytechnical foundation (BSc), General Engineering
Polytechnical foundation (BSc), Life Science Engineering
Polytechnical foundation (BSc), Environmental Engineering
Polytechnical foundation (BSc), Mathematics and Technology
Polytechnical foundation (BSc), Mechanical Engineering
Polytechnical foundation (BSc), Software Technology
Polytechnical foundation (BSc), General Engineering - taught in Danish
Polytechnical foundation (BSc), Cybertechnology
Polytechnical foundation (BSc), Electrical Engineering
Polytechnical foundation (BSc), Engineering Physics
Polytechnical foundation (BSc), Artificial Intelligence and Data
Technology Core Courses, General Engineering
Technology Core Courses, Quantitative Biology and Disease Modelling
Elective course (B Eng), Manufacturing and Management
Elective course (B Eng), Electrical Engineering
Autumn E3A (Tues 8-12)
Spring F4A (Tues 13-17)
Campus Lyngby
Lectures, group exercises, and projects.
13 weeks
Special day, see DTU Examination timetable on dtu.dk. Sign-up for the re-exam in the end of the June 3-weeks period is done via https://forms.office.com/r/cS8T23ZiSZ.
Written examination and reports
There will be 2 mini projects and they must both be passed in order to go to the written exam. Previously passed projects can be reused. The reexam for the May exam is on the last day of the 3-week period (can also be taken in December/May).
Written exam: 4 hours
All Aid - no access to the internet
7 step scale , external examiner
02323.02403.02593
01001/01003/01002/01004/01005/01901 , At the latest at the same time.
Nicolai Siim Larsen , Lyngby Campus, Building 324 , nisi@dtu.dk
Peder Bacher , Lyngby Campus, Building 303B , pbac@dtu.dk
Jan Kloppenborg Møller , Lyngby Campus, Building 303B, Ph. (+45) 4525 3418 , jkmo@dtu.dk
Md Saifuddin Khalid , skhalid@dtu.dk
Pernille Yde Nielsen , pydni@dtu.dk
01 Department of Applied Mathematics and Computer Science
https://02402.compute.dtu.dk
At the Studyplanner
General course objectives
To give the participants an introduction to statistical methods and applications, and to provide them with an understanding of random variation and of the use of statistical models. Important statistical principles for collection and analysis of data are introduced, and methods for model choice, estimation, testing and model verification are presented. The participants learn to handle a number of elementary problems which occur frequently in engineering practice and are thus enabled to critically assess statistical (empirical) investigations and references.
Learning objectives
A student who has met the objectives of the course will be able to:
  • Estimate and interpret simple summary statistics, such as mean, standard deviation, variance, median and quartiles as well as correlation
  • Apply simple graphical techniques, including histograms, qq-normal plots, and box plots
  • Identify and describe probability distributions, including Poisson, binomial, exponential and the normal distribution using Python
  • Compare different statistical methods
  • Apply and interpret important statistical concepts, such as the formulation of models, parameter estimation, construction of confidence intervals and hypothesis testing
  • Apply and interpret simulation based statistical methods
  • Apply and interpret simple statistical methods within one- and two sample situations and for count data
  • Apply and interpret simple statistical methods within simple and multiple linear regression and one- and two-way analysis of variance
  • Use Python and interpret its output
  • Interpret power considerations and perform sample size calculations in different settings using Python
  • Debate and criticize empirical based information
  • Recognize core statistical terms
Content
Simple methods for graphical and tabular assessments of collected or measured data: empirical distributions, histogram, normal probability plot, box plot. Model formulation. Model control: control of distribution function. Application of especially Poisson-, binomial-, exponential- and normal distribution. Estimation and test of parameters and construction of confidence intervals in frequently occuring situations (e.g. means, variances, proportions). Regression analysis with one independent variable and introduction to the analysis of variance and to the analysis of contingency tables, estimation theory and simulation based methods.
Remarks
The course is a general methodological course aimed at all engineering students. The course is offered in both Danish and English in both semesters. Live lectures are given in English in spring semesters and in Danish in fall semesters. Both Danish and English web-based lectures (video podcasts) are available online in both versions. All material is available in English. Some material is available in Danish as well as English. The exam is given in Danish as well as English.
Last updated
02. maj, 2024