Computational statistics
This course deepens your knowledge in statistical programming. The course provides tools useful in design of statistical surveys, estimation, hypothesis testing and Bayesian analysis. The course presents some basic principles for numerical computing, numerical matrix algebra, solutions to equations, function optimization, and simulation techniques
This course gives you knowledge about the basic principles of numerical computing. You will learn how to design and organize algorithms for function optimization, integration and simulation of distributions and how to solve statistical computing problems with help of statistical software. You will also learn how to carry out simulation experiments.
Information for admitted students spring 2025
Congratulations! You have been admitted at Stockholm University and we hope that you will enjoy your studies with us.
In order to ensure that your studies begin as smoothly as possible we have compiled a short checklist for the beginning of the semester.
Follow the instructions on whether you have to reply to your offer or not.
universityadmissions.se
Checklist for admitted students
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Activate your university account
The first step in being able to register and gain access to all the university's IT services.
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Register at your department
Registration can be done in different ways. Read the instructions from your department below.
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Read all the information on this page
Here you will find what you need to know before your course or programme starts.
IMPORTANT
Your seat may be withdrawn if you do not register according to the instructions provided by your department.
Information from your department
On this page you will shortly find information on registration, learning platform, etc.
Welcome activities
Stockholm University organises a series of welcome activities that stretch over a few weeks at the beginning of each semester. The programme is voluntary (attendance is optional) and includes Arrival Service at the airport and an Orientation Day, see more details about these events below.
Your department may also organise activities for welcoming international students. More information will be provided by your specific department.
Find your way on campus
Stockholm University's main campus is in the Frescati area, north of the city centre. While most of our departments and offices are located here, there are also campus areas in other parts of the city.
Read more
For new international students
This course gives you knowledge about the basic principles of numerical computing. You will learn how to design and organize algorithms for function optimization, integration and simulation of distributions and how to solve statistical computing problems with help of statistical software. You will also learn how to carry out simulation experiments.
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Course structure
The course is given at day time, full time.
The course forms a part of the Master's Program in Statistics, but it can also be studied as a freestanding course.
Teaching format
The teaching forms consists of lectures and computer labs. The course is given in English.
Course Information
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Course description spring 2024 (115 Kb)
More information for registered students will be found in Athena.
Assessment
Examination will be in the form of a written test and a written hand in assignment.
Examiner
Teachers Spring semester 2024
Course coordinator
You will find Per Gösta´s reception hours in the link above. If you wish to visit Per Gösta outside of his reception hours, you are welcome to e-mail her for an appointment.
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Schedule
The schedule will be available no later than one month before the start of the course. We do not recommend print-outs as changes can occur. At the start of the course, your department will advise where you can find your schedule during the course. -
Course literature
Note that the course literature can be changed up to two months before the start of the course. -
Course reports
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Contact
Teachers Spring semester 2024
Course coordinator
You will find Per Gösta´s reception hours in the link above. If you wish to visit Per Gösta outside of his reception hours, you are welcome to e-mail her for an appointment.
If you have questions about studying at the Department of Statistics, please contact our study- and career counselor.
