GMPE240 Parameter Estimation
Credits (ECTS):10
Course responsible:Ola Øvstedal
Campus / Online:Taught campus Ås
Teaching language:Norsk
Course frequency:Annually
Nominal workload:250 hours.
Teaching and exam period:This course starts in Spring parallel. This course has teaching/evaluation in Spring parallel, .
About this course
Parameter Estimation Using the Least Squares Method is in geomatics commonly referred to as "least squares adjustment".
Optimal estimation and quality assurance of parameters (such as coordinates) are essential tools that students use in subsequent courses in e.g. land surveying, geodesy, photogrammetry, remote sensing, and GIS.
In addition to estimation using the least squares method, the course covers methods for detecting errors in observations and given quantities, as well as quantifying integrity through calculated reliability measures.
The last part of the course covers sequential adjustment and Kalman filter.
Learning outcome
Lectures and exercises.
The exercises are considered important for the acquisition of theory and are given great emphasis.
- Teaching support will be given primarily in connection with that part of the structured teaching that is set aside for exercise guidance. It will also be possible to communicate directly with the course teacher by appointment during office hours.
- MATH113 or MATH131, STAT100 or DAT110
- GMLM102, GMGD200
- Final written examination of 3.5 hours. Grading scale A-F.
One written exam Grading: Letter grades Permitted aids: C1 All types of calculators, other aids as specified - The external and internal examiner jointly prepare the exam questions and the correction manual. The external examiner reviews the internal examiner's examination results by correcting a random sample of candidate¿s exams as a calibration according to the Department's guidelines for examination markings.
Compulsory exercises.
Students who retake the course for various years must complete and have the compulsory exercises approved again (i.e. previous approval is no longer valid).
- Lectures: 52 hours. Exercises: 52 hours.
Special requirements in Science
Student courses MATH 113 or MATH131, STAT100 or DAT110 (or equivalents).