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Curricular information is subject to change
On completion of this module, students will be able to:
1) Understand the role of computer programming and GIS in solving problems in Civil Engineering;
2) Demonstrate the ability to conduct data analysis and visualisation in Python using a number of Python packages;
3) Apply and evaluate functions in Python in addition to visualising and interpreting results;
4) Analyse Civil Engineering problems by generating GIS data and integrating it with existing data while demonstrating comprehension of multiple decision factors
Student Effort Type | Hours |
---|---|
Lectures | 12 |
Computer Aided Lab | 24 |
Autonomous Student Learning | 59 |
Total | 95 |
Not applicable to this module.
Description | Timing | Component Scale | % of Final Grade | ||
---|---|---|---|---|---|
Class Test: 2hr Practical Examination (will take place in class - during usual computer lab slot) | Week 6 | n/a | Graded | Yes | 40 |
Attendance: Computer lab participation (based on submission of online lab exercises) | Throughout the Trimester | n/a | Graded | No | 10 |
Continuous Assessment: GIS Project | Week 12 | n/a | Graded | Yes | 50 |
Remediation Type | Remediation Timing |
---|---|
In-Module Resit | Prior to relevant Programme Exam Board |
• Feedback individually to students, post-assessment
Students are given feedback after each assessment along with their mark
Name | Role |
---|---|
Dr David AYALA CABRERA | Lecturer / Co-Lecturer |