Undergraduate Course: Programming Skills for Engineers 2 (SCEE08014)
Course Outline
| School | School of Engineering |
College | College of Science and Engineering |
| Credit level (Normal year taken) | SCQF Level 8 (Year 2 Undergraduate) |
Availability | Not available to visiting students |
| SCQF Credits | 10 |
ECTS Credits | 5 |
| Summary | This course introduces python programming, software engineering and design techniques to Engineering students. It also introduces the use of libraries like SciPy, NumPy and Matplotlib for solving equations (using appropriate numerical methods) and the use of JuPyter Lab notebooks to present calculations. |
| Course description |
In this course you will learn software engineering techniques to write clear, well-documented code.
You will learn and use basic elements of the Python 3 programming language and implement codes using JuPyter Notebooks.
You will learn to use the SciPy and NumPy libraries to solve equations and the Matplotlib library to plot graphs and charts.
You will make use of Generative Artificial Intelligence tools to assist and evaluate your programming.
|
Course Delivery Information
|
| Academic year 2025/26, Not available to visiting students (SS1)
|
Quota: 462 |
| Course Start |
Semester 1 |
Timetable |
Timetable |
| Learning and Teaching activities (Further Info) |
Total Hours:
100
(
Lecture Hours 10,
Seminar/Tutorial Hours 10,
Supervised Practical/Workshop/Studio Hours 10,
Programme Level Learning and Teaching Hours 2,
Directed Learning and Independent Learning Hours
68 )
|
| Assessment (Further Info) |
Written Exam
0 %,
Coursework
100 %,
Practical Exam
0 %
|
| Additional Information (Assessment) |
Coursework 100%
If you fail a course you will be required to resit it. You are only required to resit components which have been failed. |
| Feedback |
Not entered |
| No Exam Information |
Learning Outcomes
On completion of this course, the student will be able to:
- Design, program, document and test reusable modules and applications in Python and use data structures such as lists, tuples, and dictionaries in Python programs;
- Demonstrate practical skills in using loops, decision statements and functions in Python programmes;
- Use external libraries to perform engineering calculations and plot graphs;
- Use exception handling in Python applications for error handling;
|
Reading List
Mark Summerfield (2010) Programming in Python 3: A Complete Introduction to the Python Language, 2ND edition, Addison-Wesley Professional.
Sadeep Nagar (2018) Introduction to Python for Engineers and Scientists: Open Source Solutions for Numerical Computation, Apress, 978-1-4842-3203-3
Jody Scott Ginther (2010) Start Here: Python 3X Programming, Alien Cat Studios.
|
Additional Information
| Graduate Attributes and Skills |
Not entered |
| Keywords | Computer Programming,Python,Software Engineering,Numerical Methods |
Contacts
| Course organiser | Dr Rodrigo Ledesma Aguilar
Tel:
Email: rodrigo.ledesma@ed.ac.uk |
Course secretary | Mrs Marian Conlan
Tel:
Email: Marian.Conlan@ed.ac.uk |
|
|
University Homepage