Undergraduate

modules

Modules

CEG3714 : Analysis of Observations

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 ActivitiesLecture221:0022:00N/A
Guided Independent StudyAssessment preparation and completion11:301:30Exam
Guided Independent StudyAssessment preparation and completion43:0012:00Computational submissions
Guided Independent StudyAssessment preparation and completion220:3011:00Revision for exam
Scheduled Learning And Teaching ActivitiesPractical43:0012:00PC supported example classes
Scheduled Learning And Teaching ActivitiesSmall group teaching21:002:00Seminars
Guided Independent StudyIndependent study139:3039:30Includes background reading and reading lecture notes for a full understanding of material.
Total100:00
Jointly Taught With
Code Title
CEG2703Observation Processing and Analysis
Teaching Rationale And Relationship

Early lectures, seminars and classes introduce and then practise the required mathematical skills. Further lectures 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 Examination901A70Unseen written examination
Exam Pairings
Module Code Module Title Semester Comment
CEG2703Observation Processing and Analysis1N/A
Other Assessment
Description Semester When Set Percentage Comment
Prob solv exercises1M304 computational submissions (each worth 7.5%). Approx 3hrs work each.
Assessment Rationale And Relationship

Assessing the four 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