| Module Code | CE7C05 |
| Module Name | C5: Advanced Spatial Analysis Using GIS |
| ECTS Weighting [1] | 5 ECTS |
| Semester Taught | Semester 1 |
| Module Coordinator/s | Assist. Prof. Niamh Harty |
Module Learning Outcomes
On successful completion of this module, students will be able to:
- LO1. Investigate and solve Spatial Analysis problems by applying interdisciplinary approaches.
- LO2. Discuss and debate solutions to problems in the environment.
- LO3. Communicate effectively in technical and scientific writing, and present scientific/technical ideas concisely to a technical audience that may not be expert in the specific domain of the presentation.
- LO4. Use technical knowledge to address a spatial analysis problem.
- LO5. Identify and use appropriate mathematical methods, numerical techniques and GIS tools for application to new and ill-defined spatial analysis problems.
- LO6. Consult and work with experts in various fields in the realisation of a product or system.
- L07. Have knowledge and understanding of concepts from a range of areas outside engineering.
- LO8. Describe succinctly, the relevant advantages and disadvantages of various technologies to a lay audience, and to communicate effectively in public.
Module Content
Topics covered in this module are:
- This module introduces students to the framework and methods used in real-life problems related to the field of Spatial Analysis by applying the theoretical knowledge gathered during the module to live project work. The module seeks to impart the necessary skills and knowledge to enable graduates to engage as team members and leaders in the types of large and complex sustainable environment projects that are increasingly being planned across the world.
- It aims to help fill a major and increasingly obvious skills gap. A unique feature of this module is the use of Dublin and Ireland as learning laboratory, where the students will take responsibility of a real-life project. The introduction to Advanced Spatial Analysis using GIS module is designed to introduce the student to spatial analysis using a Geographic Information Systems (GIS) platform and guide him/her through the learning process of advanced tools dedicated to network analysis, spatial data mining and environmental phenomena modelling.
Teaching and Learning Methods
Teaching strategies
- Problem based learning.
- Computer Lab-based tutorials.
- Lectures.
- Project report
Assessment Details
| Assessment Component | Brief Description | Learning Outcomes Addressed | % of Total | Week Set | Week Due |
| Project | Students are required to complete a report based upon the work conducted for the project. The report should be approximately 3,000/4,000 words. Students will be provided with detailed guidance on writing the report. | All | 90% | ||
| Test | In-class theory test | LO4, LO5 | 5% | ||
| Test | In-class practical test | LO4, LO5 | 5% |
Reassessment Details
No
Contact Hours and Indicative Student Workload
| Contact Hours (scheduled hours per student over full module), broken down by: | 26 hours |
| Lecture | 6 hours |
| Tutorial or seminar | 20 hours |
| Independent Study (preparation for course and review of materials | 26 hours |
| Independent Study (preparation for assessment, incl. completion of assessment | 70 hours |
Recommended Reading List
- An Introduction to Geographical Information Systems, Ian Heywood, Sarah Cornelius, Steve Carver, 4th edition, Prentice Hall. LEN copies in Lecky Library.
- A list of recommended reading materials, standards, manuals, best practice documents is provided in the project section of the module.
- Each list is relevant to each specific project.
Module Pre-requisites
Prerequisite modules:
Other/alternative non-module prerequisites: N/A
Module Website:
Ideally, students should have access to a computer (Windows or Mac) to be able to run the latest stable version of the open source software QGIS, but the software is also available on mytrinityapps.
Academic Year of Date
2023/2024