SHE Level 5
SCQF Credit Points 15.00
ECTS Credit Points 7.50
Module Code MMK923248
Module Leader Ole Pahl
School School of Computing, Engineering and Built Environment
Subject Civil Engineering and Environmental Management
  • B (January start)
  • A (September start)

Summary of Content

This module provides students with a critical appreciation of urban environmental data, its manipulation and interpretation for effective evidence-based policies to tackle urban environmental problems. The module is organized in two main parts. The first part will focus on urban data sources and storage formats. This includes various formats for observational data and understanding how to use software to manage large data sets. The second part is devoted to the understanding of field data on urban environment as well as model outputs and introduces various analytical methods relevant to urban environmental data.


-360b7 Urban data -360 o Sources of data o Programming systems & software -360b7 Analytical techniques -360 o Introduction to statistics for environmental science o Statistical variables, distributions and graphical representation o Probability, errors and error propagation o Exploratory data analysis (including, Hypothesis Testing, Trend Analysis, Extreme Value Analysis, Forecast Evaluation and Skill) -360b7 Case studies in model outputs and data interpretation -360 o Atmospheric pollution o Precipitation and flooding o Urban water quality -360b7 Future scenarios -360 o Scenario building o Road map to scenario interpretation

Learning Outcomes

On completion of this module the student should be able to:1. Evaluate the use of computer software as a tool to collect, analyse and display environmental data for urban environments2. Critically assess and interpret model outputs3. Apply advanced software to interpret and analyse environmental reports and forecasts4. Critically evaluate urban environmental data and implications for climate change

Teaching / Learning Strategy

The module, developed under the auspices of the RESUCE Project, in conjunction with the University of Salento (UdS), Italy, a partner in the Project. The delivery of this module will be through lectures, seminars and case studies, as well as guest lectures by UdS staff. The delivery of this module will be through lectures, seminars and case studies. Students will develop the practical skills through tutorial exercises, case studies, in-class presentations and reports.

Indicative Reading

Barnett R, 2005. Environmental Statistics: Methods and Application. John Wiley & Sons Wilks DS, 2011. Statistical Methods in the Atmospheric Sciences. 3rd edition, Academic Press Inc, 704 pp. von Storch H, Zwiers FW, 2002. Statistical Analysis in Climate Research. Cambridge University Press, Cambridge, UK, 494 pp. Coles S, 2001. An introduction to statistical modeling of extreme values. Springer, London. 208 pp. Acevedo M. 2012. Data Analysis and Statistics for Geography, Environmental Science and Engineering. CRC Press, ISBN-13: 978-1439885017 Hartmann DL, 1994. Global Physical Climatology Academic Press

Transferrable Skills

-360b7 Communicating effectively in appropriate formats, including among peers and with external agencies b7 Applying appropriate analytical skills (including mathematical methods); b7 Using effectively a wide range of IT tools, including general software and specialist packages b7 Demonstrating a professional approach to time-management

Module Structure

Activity Total Hours
Lectures (FT) 24.00
Independent Learning (FT) 84.00
Assessment (FT) 18.00
Tutorials (FT) 12.00
Seminars (FT) 12.00

Assessment Methods

Component Duration Weighting Threshold Description
Coursework 1 n/a 50.00 45% Report on data manipulation on tutor-provided data
Coursework 2 n/a 50.00 45% Simulation exercise and Report