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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 | 64 |
Total | 100 |
Not applicable to this module.
Description | Timing | Component Scale | % of Final Grade | ||
---|---|---|---|---|---|
Exam (In-person): Practical exam in covering Python lecture material covered in Weeks 1 to 5 and computer labs 1 to 4. | Week 6 | Alternative linear conversion grade scale 40% | No | 40 |
Yes |
Assignment(Including Essay): Geographical Information Systems (GIS) report building upon skills gained and material covered in Weeks 7 to 11 and computer labs 5 to 9. | Week 12 | Alternative linear conversion grade scale 40% | No | 50 |
No |
Quizzes/Short Exercises: Completion of computer lab exercises | Week 12 | Alternative linear conversion grade scale 40% | No | 10 |
No |
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 |
Dr Meisam Gordan | Lecturer / Co-Lecturer |