CEG1716 : Quantitative Geospatial Analysis (Inactive)
CEG1716 : Quantitative Geospatial Analysis (Inactive)
- Inactive for Year: 2024/25
- Module Leader(s): Dr James Waldron
- Lecturer: Dr Otti Croze, Dr Pete Philipson
- Owning School: Mathematics, Statistics and Physics
- Teaching Location: Newcastle City Campus
Semesters
Your programme is made up of credits, the total differs on programme to programme.
| Semester 1 Credit Value: | 20 |
| Semester 2 Credit Value: | 10 |
| ECTS Credits: | 15.0 |
| European Credit Transfer System | |
Pre-requisite
Modules you must have done previously to study this module
Pre Requisite Comment
N/A
Co-Requisite
Modules you need to take at the same time
Co Requisite Comment
N/A
Aims
An appreciation of the basic quantitative and statistical methodologies which underpin Geospatial Engineering.
To present and describe the mathematical concepts which are essential for a better understanding of various aspects of geospatial engineering, many of which rely upon, or develop from, a mathematical background.
Outline Of Syllabus
Summary: Elementary differentiation. Partial differentiation. Integration, Partial differentiation, Series expansions & linearisation. Stationary points of functions of two variables.
Statistics of a data set, mean, standard deviation, median, median absolute deviation, mode; Summary statistics of bivariate data, correlation; Probability Density Functions; Mean and standard deviation of populations described by probability density functions; Errors in geospatial data. Normal distribution, Standard form and use of tables with applications to geomatics, Standard Error and Confidence Intervals. Hypothesis testing. t, F, chi- square tests. Linear regression.
Vectors, Introduction to vector calculus, Introduction to matrices. Matrix algebra. Determinants, Inverse via the adjoint, Eigenvalues & Eigenvectors, Rotation matrices, Spherical coordinates
Learning Outcomes
Intended Knowledge Outcomes
Use the fundamental quantitative and statistical tools required in Geospatial Engineering
Students will know and appreciate the significance of the fundamentals of: differentiation (including multiple variable), matrix/linear algebra, spherical coordinates, vectors and basic vector calculus, statistics, hypothesis testing.
Intended Skill Outcomes
Students will be able to: find derivatives (including partial) of elementary functions, find integrals of elementary functions, solve systems of equations using matrix methods, find eigenvalues & eigenvectors, perform simple coordinate transforms and vector products.Understand and have competence in the use of fundamental quantitative and statistical techniques for geospatial engineering.
Teaching Methods
Teaching Activities
| Category | Activity | Number | Length | Student Hours | Comment |
|---|---|---|---|---|---|
| Scheduled Learning And Teaching Activities | Lecture | 22 | 1:00 | 22:00 | Problem class/tutorial. |
| Scheduled Learning And Teaching Activities | Lecture | 66 | 1:00 | 66:00 | Formal lecture/tutorial. |
| Guided Independent Study | Assessment preparation and completion | 45 | 1:00 | 45:00 | N/A |
| Scheduled Learning And Teaching Activities | Drop-in/surgery | 22 | 1:00 | 22:00 | Office hour or discussion board activity |
| Guided Independent Study | Independent study | 145 | 1:00 | 145:00 | N/A |
| Total | 300:00 |
Teaching Rationale And Relationship
Lectures and tutorials are used for the delivery of theory and explanation of methods, illustrated with examples, and for giving general feedback on progress and marked work. Problem classes are used to help develop the students' abilities at applying the theory to solving problems.
Reading Lists
Assessment Methods
The format of resits will be determined by the Board of Examiners
Other Assessment
| Description | Semester | When Set | Percentage | Comment |
|---|---|---|---|---|
| Computer assessment | 1 | M | 10 | Numbas |
| Computer assessment | 1 | M | 10 | Numbas |
| Computer assessment | 1 | M | 10 | Numbas |
| Computer assessment | 1 | M | 35 | Numbas test, end of semester 1 |
| Computer assessment | 2 | M | 5 | Numbas |
| Computer assessment | 2 | M | 5 | Numbas |
| Computer assessment | 2 | M | 25 | Numbas test, end of semester 2 |
Assessment Rationale And Relationship
The course assessments allow the students to develop their problem solving techniques, to practise the methods learnt in the module, to assess their progress and to receive feedback; these assessments have a secondary formative purpose as well as their primary summative purpose.
Timetable
- Timetable Website: www.ncl.ac.uk/timetable/
- CEG1716's Timetable
Past Exam Papers
- Exam Papers Online : www.ncl.ac.uk/exam.papers/
- CEG1716's past Exam Papers
General Notes
N/A
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