Time series analysis
Data on various phenomena observed over time are common in virtually all sciences. Time series analysis involves drawing conclusions about the properties of time series and their development over time, typically to predict future values. Examples of applications are found in economics, finance, psychology, weather forecasting, control engineering, pattern recognition, etc.
The course provides basic knowledge of the theory and applications of statistical methods in time series analysis and skills in practical analysis of time series data. Throughout the course, great emphasis is placed on a critical approach to the use of statistical methods and the interpretation of results. Special emphasis is placed on the ability of different models to generate forecasts. Great importance is also placed on practical data handling, visualization, and analysis through programming in R.
Information for admitted students autumn 2024
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Your seat may be withdrawn if you do not register according to the instructions provided by your department.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.
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For new international students
Data on various phenomena observed over time are common in virtually all sciences. Time series analysis involves drawing conclusions about the properties of time series and their development over time, typically to predict future values. Examples of applications are found in economics, finance, psychology, weather forecasting, control engineering, pattern recognition, etc.
The course provides basic knowledge of the theory and applications of statistical methods in time series analysis and skills in practical analysis of time series data. Throughout the course, great emphasis is placed on a critical approach to the use of statistical methods and the interpretation of results. Special emphasis is placed on the ability of different models to generate forecasts. Great importance is also placed on practical data handling, visualization, and analysis through programming in R.
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Course structure
The course is given at day time, full time.
Teaching format
The teaching consists of lectures, exercises, and computer exercises.
Assessment
The course is examined through an individual written exam and a group assignment.
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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.
