GEO9300 – Geophysical Data Science
Course description
Schedule, syllabus and examination date
Course content
Geophysical Data Science provides a foundation for statistical analysis and modelling of Earth System data sets. Students are initially provided with a review of core fundamental statistical concepts: probability, distribution, linear and multiple regression. Through the semester, course material will advance to cover important tools in climate, earth system modelling, and hydrologic analysis, including hypothesis testing and uncertainty analysis, stochastic processes, temporal and frequency domain analysis, principal component analysis and canonical correlation.
Learning outcome
After completing this course, you will be able to
- manage, conduct quality control, and analyze and classify time series of complex geophysical data
- statistically characterize and model geophysical data
- conduct analysis of extreme events in the temporal and frequency domain
- conduct multiple linear regression
- evaluate Spatio-temporal variability
- develop stochastic models and evaluate residuals from geophysical data
- conduct basic time series analysis
- perform basic kriging operations on spatial data
- manage large and complex data from earth system models, reanalysis datasets, satellite products, and heterogeneous observations
- conduct an intensive data analysis project on your own data
Admission to the course
PhD candidates from the University of Oslo should apply for classes and register for examinations through?Studentweb.
If a course has limited intake capacity, priority will be given to PhD candidates who follow an individual education plan where this particular course is included. Some national researchers’ schools may have specific rules for ranking applicants for courses with limited intake capacity.
PhD candidates who have been admitted to another higher education institution must?apply for a position as a visiting student?within a given deadline.
Recommended previous knowledge
- MAT1100 – Calculus / MAT1001 – Mathematics 1 (discontinued) or similar knowledge
- STK1100 – Probability and Statistical Modelling / STK1000 – Introduction to Applied Statistics?or similar knowledge
- a bachelor's course in hydrology / meteorology / climatology / physical geography
Overlapping courses
- 10 credits overlap with GEO4300 – Geophysical Data Science.
- 10 credits overlap with GEO4310 – Stochastic methods in hydrology (continued).
- 10 credits overlap with GEO9310.
Teaching
Teaching consists of lectures 2 x 2 hours per week and 3 hours of computer lab weekly, providing data-processing and practical programming exercises. You must submit written reports on a minimum of 6 (out of 7) exercises in addition to a data analysis project, which will count towards the final grade.
Attendance at the first lecture is compulsory. Students who fail to meet are considered to have withdrawn from the course unless they have previously given notice to the Student administration (studieinfo@geo.uio.no).
We reserve the right to change the teaching?form and examination of the course in semesters where 5 or fewer students have been admitted.
Examination
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6 out of 7 written reports and a data analysis project together count 30% towards the final grade.
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The final written examination counts 70% towards the final grade.
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The reports / data analysis project and the final written examination must be passed separately to pass the course.
It is possible to take the exam up to 3 times. If you?withdraw from the exam?after the deadline or during the exam, this will be counted as an examination attempt.
It will also be counted as 1 of the 3 attempts to sit the exam for this course if you sit the exam for one of the following courses:
Examination support material
Language of examination
Courses taught in English will only offer the exam paper in English.
You may write your examination paper in Norwegian, Swedish, Danish or English.
Grading scale
Grades are awarded on a pass/fail scale. Read more about?the grading system.
Resit an examination
Students who can document a valid reason for absence from the regular examination are offered a postponed examination at the beginning of the next semester.
Re-scheduled examinations are not offered to students who withdraw during, or did not pass, the original examination.
More about examinations at UiO
- Use of sources and citations
- Special exam arrangements due to individual needs
- Withdrawal from an exam
- Illness at exams / postponed exams
- Explanation of grades and appeals
- Resitting an exam
- Cheating/attempted cheating
You will find further guides and resources at the web page on examinations at UiO.