Time Series Analysis of Geophysical Data
Course, Bachelor's level, 1GE066
Autumn 2023 Autumn 2023, Uppsala, 33%, On-campus, The course will be taught in English, if needed
- Location
- Uppsala
- Pace of study
- 33%
- Teaching form
- On-campus
- Instructional time
- Daytime
- Study period
- 28 August 2023–30 October 2023
- Language of instruction
- The course will be taught in English, if needed
- Entry requirements
-
90 credits including 75 credits in physics and mathematics. Introduction to Scientific Computing, 5 credits, is recommended. Proficiency in English equivalent to the Swedish upper secondary course English 6.
- Selection
-
Higher education credits in science and engineering (maximum 240 credits)
- Fees
-
If you are not a citizen of a European Union (EU) or European Economic Area (EEA) country, or Switzerland, you are required to pay application and tuition fees.
- Application fee: SEK 900
- First tuition fee instalment: SEK 10,833
- Total tuition fee: SEK 10,833
- Application deadline
- 17 April 2023
- Application code
- UU-18129
Admitted or on the waiting list?
- Registration period
- 28 July 2023–27 August 2023
- Information on registration.
Autumn 2023 Autumn 2023, Uppsala, 33%, On-campus, The course will be taught in English, if needed For exchange students
- Location
- Uppsala
- Pace of study
- 33%
- Teaching form
- On-campus
- Instructional time
- Daytime
- Study period
- 28 August 2023–30 October 2023
- Language of instruction
- The course will be taught in English, if needed
- Entry requirements
-
90 credits including 75 credits in physics and mathematics. Introduction to Scientific Computing, 5 credits, is recommended. Proficiency in English equivalent to the Swedish upper secondary course English 6.
Admitted or on the waiting list?
- Registration period
- 28 July 2023–27 August 2023
- Information on registration.
About the course
Many geophysical signals, including seismic, electromagnetic, and gravity data, are in the form of time series. This course introduces the most common techniques used in analysing time series, and it also provides the underlying concepts and mathematical theory. The course emphasises applications, mostly in the form of computer exercises.