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
E-mailluethen@ibk.baug.ethz.ch
DepartmentCivil, Environmental and Geomatic Engineering
RelationshipLecturer

NumberTitleECTSHoursLecturers
101-0700-00LProgramming for Engineers Information 4 credits2V + 2UB. Sudret, N. Lüthen
AbstractThis 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.
ObjectiveStudents 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.
ContentThe 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 notesA 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.
LiteratureAdditional 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
CompetenciesCompetencies
Subject-specific CompetenciesConcepts and Theoriesassessed
Techniques and Technologiesassessed
Method-specific CompetenciesAnalytical Competenciesassessed
Media and Digital Technologiesassessed
Problem-solvingassessed
Social CompetenciesCommunicationfostered
Personal CompetenciesCreative Thinkingfostered
Integrity and Work Ethicsfostered
Self-awareness and Self-reflection fostered
Self-direction and Self-management fostered