| CODE | CVE1632 | ||||||||
| TITLE | Introduction to Data Management | ||||||||
| UM LEVEL | 01 - Year 1 in Modular Undergraduate Course | ||||||||
| MQF LEVEL | 5 | ||||||||
| ECTS CREDITS | 3 | ||||||||
| DEPARTMENT | Civil and Structural Engineering | ||||||||
| DESCRIPTION | Study-unit Aims: - To introduce concepts of sample characteristics, including mean, variance, coefficient of skewness, coefficient of variation, standardized variables; - To introduce techniques for data collection, for data analyses and synthesis, as used in structural and civil engineering, and in planning and social sciences; - To introduce techniques for sampling technical data, and handling technical information, including use of information technology; - To introduce concepts of geographic data. Learning Outcomes: - Ability to understand basic statistical methods used in civil engineering, including normal (Gaussian) and log-normal distribution, estimation of fractiles, and normality tests; - Ability to design experiments, handle experimental data, assess significance of variations, and errors; - Ability to understand how to characterize the properties of a population of data using information derived from random variables, and develop models to predict behavior of the physical world; - Ability to understand concepts used in the characterisation of actions, of material properties, and of geometrical data, and tolerances and quality control processes; - Ability to apply concepts of reliability differentiation to structural and civil engineering; - Ability to use statistical functions in simple commercial software. Main Text/s and any supplementary readings: - Clarke, K. (2010) Getting Started With Geographic Information. Fifth Edition. Prentice Hall. ISBN 13: 9780131494985 |
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| STUDY-UNIT TYPE | Lecture and Tutorial | ||||||||
| METHOD OF ASSESSMENT |
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| LECTURER/S | Therese Bajada Alexia Mercieca Nathan Vella |
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The University makes every effort to ensure that the published Courses Plans, Programmes of Study and Study-Unit information are complete and up-to-date at the time of publication. The University reserves the right to make changes in case errors are detected after publication.
The availability of optional units may be subject to timetabling constraints. Units not attracting a sufficient number of registrations may be withdrawn without notice. It should be noted that all the information in the description above applies to study-units available during the academic year 2024/5. It may be subject to change in subsequent years. |
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