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Module

CEG2703 : Observation Processing and Analysis

  • Offered for Year: 2020/21
  • Module Leader(s): Dr Ciprian Spatar
  • Owning School: Engineering
  • Teaching Location: Newcastle City Campus
Semesters
Semester 1 Credit Value: 10
ECTS Credits: 5.0

Aims

To further the mathematical skills essential for an understanding of observation processing and analysis. To provide students with an in-depth understanding of the reasons for inaccuracy in survey measurements and how, by processes of pre-analysis estimation and post-analysis, to achieve and guarantee survey results adequate for their purpose. Knowledge of the basic concepts will be related to the computation of 2D and 3D survey control schemes but the universality of methods for the handling of measurement data is stressed with several case studies

Outline Of Syllabus

Maths for Observation Processing (linearisation and Taylor’s series, partial differentiation, matrix algebra); survey errors and their propagation; least squares using observation equations; network analysis; covariance analysis & pre- and post- network analysis.

Teaching Methods

Teaching Activities
Category Activity Number Length Student Hours Comment
Scheduled Learning And Teaching ActivitiesLecture241:0024:00N/A
Guided Independent StudyAssessment preparation and completion220:3011:00Revision for exam
Guided Independent StudyAssessment preparation and completion25:0010:00Computational submission
Guided Independent StudyAssessment preparation and completion12:002:00Exam
Scheduled Learning And Teaching ActivitiesPractical33:009:00Computer supported
Guided Independent StudyIndependent study144:0044:00Includes background reading and reading lecture notes for a full understanding of material.
Total100:00
Teaching Rationale And Relationship

Early lectures and classes introduce and then practise the required mathematical skills. Further lectures and seminars introduce the theory and concepts of the topic which are then practised in computer supported example practical classes.

Assessment Methods

The format of resits will be determined by the Board of Examiners

Exams
Description Length Semester When Set Percentage Comment
Written Examination1201A70Unseen written exam
Other Assessment
Description Semester When Set Percentage Comment
Practical/lab report1M30Computation submissions (x2)
Assessment Rationale And Relationship

Assessing the two computational submissions (30%) both ensures the students have an incentive to take full part in the exercises and assesses their computational accuracy and presentation of detailed computations. The main assessment (70%) is by examination giving the opportunity for individual assessment of the student's knowledge of theory, concepts and practice.

Reading Lists

Timetable