Statistical Inference for Technological Applications
Course, Master's level, 1TS325
Spring 2024 Spring 2024, Uppsala, 33%, On-campus, English Only available as part of a programme
- Location
- Uppsala
- Pace of study
- 33%
- Teaching form
- On-campus
- Instructional time
- Daytime
- Study period
- 15 January 2024–17 March 2024
- Language of instruction
- English
- Entry requirements
-
120 credits, of which 60 credits in science/engineering. Participation in courses of 25 credits in mathematics/statistics/scientific computing, of which 15 credits must be completed. Among these 25 credits 5 credits in statistics and 5 credits in computational methods should be included. Participation in a course in computer programming of 5 credits. Proficiency in English equivalent to the Swedish upper secondary course English 6.
- Application deadline
- 16 October 2023
- Application code
- UU-64623
Admitted or on the waiting list?
- Registration period
- 14 December 2023–15 January 2024
- Information on registration
Spring 2024 Spring 2024, Uppsala, 33%, On-campus, English For exchange students
- Location
- Uppsala
- Pace of study
- 33%
- Teaching form
- On-campus
- Instructional time
- Daytime
- Study period
- 15 January 2024–17 March 2024
- Language of instruction
- English
- Entry requirements
-
120 credits, of which 60 credits in science/engineering. Participation in courses of 25 credits in mathematics/statistics/scientific computing, of which 15 credits must be completed. Among these 25 credits 5 credits in statistics and 5 credits in computational methods should be included. Participation in a course in computer programming of 5 credits. Proficiency in English equivalent to the Swedish upper secondary course English 6.
Admitted or on the waiting list?
- Registration period
- 14 December 2023–15 January 2024
- Information on registration
Spring 2025 Spring 2025, Uppsala, 33%, On-campus, English Only available as part of a programme
- Location
- Uppsala
- Pace of study
- 33%
- Teaching form
- On-campus
- Instructional time
- Daytime
- Study period
- 20 January 2025–23 March 2025
- Language of instruction
- English
- Entry requirements
-
120 credits, of which 60 credits in science/engineering. Participation in courses of 25 credits in mathematics/statistics/scientific computing, of which 15 credits must be completed. Among these 25 credits, 5 credits in statistics should be included. Participation in a course in computer programming of 5 credits. Proficiency in English equivalent to the Swedish upper secondary course English 6.
- Application deadline
- 15 October 2024
- Application code
- UU-64623
Admitted or on the waiting list?
Spring 2025 Spring 2025, Uppsala, 33%, On-campus, English For exchange students
- Location
- Uppsala
- Pace of study
- 33%
- Teaching form
- On-campus
- Instructional time
- Daytime
- Study period
- 20 January 2025–23 March 2025
- Language of instruction
- English
- Entry requirements
-
120 credits, of which 60 credits in science/engineering. Participation in courses of 25 credits in mathematics/statistics/scientific computing, of which 15 credits must be completed. Among these 25 credits, 5 credits in statistics should be included. Participation in a course in computer programming of 5 credits. Proficiency in English equivalent to the Swedish upper secondary course English 6.
Admitted or on the waiting list?
About the course
In this course, you will learn about drawing industry-relevant conclusions from collected data (statistical inference) using two computer-intensive methods that often are easier and more powerful than the ones from Classical Statistics you have seen before. The first is almost theory-free and based on creating resampled datasets from the original one.
The second method is based on the Bayes theorem while interpreting distributions as measures of uncertainty. You will also study experimental design as well as how and why drawing conclusions using Machine Learning models differs from drawing conclusions using statistical data models.
Reading list
No reading list found.
Contact
- Study administration
- student-samint@angstrom.uu.se