Nora Lüthen: Catalogue data in Autumn Semester 2022 |
| Name | Dr. Nora Lüthen |
| Address | Risiko, Sich., Ungew. im Bauing.w. ETH Zürich, HIL E 22.2 Stefano-Franscini-Platz 5 8093 Zürich SWITZERLAND |
| Telephone | +41 44 633 61 09 |
| luethen@ibk.baug.ethz.ch | |
| Department | Civil, Environmental and Geomatic Engineering |
| Relationship | Lecturer |
| Number | Title | ECTS | Hours | Lecturers | ||||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 101-0700-00L | Programming for Engineers  | 4 credits | 2V + 2U | B. Sudret, N. Lüthen | ||||||||||||||||||||||||||||||||
| Abstract | This course is a hands-on introduction to programming with Matlab and Python, oriented at the needs of civil engineers. The course is held in a novel format comprising self-paced tutorials, a project consisting of implementing an engineering application including graphical user interface, and individual meetings with teaching assistants to demonstrate understanding and progress. | |||||||||||||||||||||||||||||||||||
| Learning objective | Students recognize the usefulness and power of computer tools in civil engineering, and are prepared to independently use Matlab or Python for solving future problems. • Students are able to explain basic computer science concepts in simple terms. • Students are able to understand and explain the functionality of existing code. • Students are able to analyse a simple civil engineering problem in order to partition it into logical blocks and devise an algorithm to systematically solve the problem. • Students are able to implement simple imperative algorithms in Matlab and Python and explain the functionalities of their code. They are able to extend existing code with new functionalities. • Students are able to validate, test and debug their own code as well as existing code. • Students are able to explain the basics of object-oriented and interactive programming and are able to extend existing skeleton code to create simple graphical user interfaces. | |||||||||||||||||||||||||||||||||||
| Content | The course is structured into six modules. The first five are using Matlab, while the last introduces Python. 1. Getting to know Matlab: Matlab as a calculator, variables and arrays 2. Programming basics I: iterating and branching 3. Programming basics II: input and output, functions, visualization 4. Introduction to scientific programming: implementing simple algorithms from numerics, statistics and discrete math; validation, testing and debugging 5. From structures to objects to GUI: basics of object-oriented programming, introduction to interactive programming and graphical user interfaces (GUI) 6. Introduction to programming with Python | |||||||||||||||||||||||||||||||||||
| Lecture notes | A script will be provided. The students will discover the topics of each module through E.Tutorials that they will follow at their own pace online. | |||||||||||||||||||||||||||||||||||
| Literature | Additional book (not mandatory): T. Siauw and A. M. Bayen. An introduction to MATLAB programming and numerical methods for engineers, Elsevier (2015). ISBN: 978-0-12-420228-3 | |||||||||||||||||||||||||||||||||||
| Competencies |
| |||||||||||||||||||||||||||||||||||