DENSYS Curriculum

Foreword

How the program is structured

Year 1

Year 2

Partners

Explore

Digital skills

Digital skills (Immersive week in Univ. Liège)

Teaching Unit (for year 1): Digital skills

Work in progress!!

Face-to-face time

⁠
`30`
⁠
hours

Student workload

⁠
`50`
⁠
hours

ECTS

⁠
`3`
⁠
⁠

Responsible Teacher

Bertrand CORNELUSSE

University of Liège

EE&CS Department

⁠

Pedagogic Team

Bastien EWBANK

University of Liège

⁠

Aims of the teaching

The main objective of the course is to let students improve their skills in Python programming by solving physics problems, especially of electromagnetism and electrical circuits, and small data science problems, to prepare for the second quadrimester course dedicated to smart grids management.

Program:

Groups of 2 students are asked to program applications that implement and visually display the notions studied in the physics, mathematics, and electrical circuits courses (vector fields, electric and magnetic fields, motion of a particle in those fields, computation of voltage and current across a two-port and display on a phasor diagram).

A second part will be dedicated to the handling of graph libraries, time series management libraries, and plotting libraries to display electrical networks, plot load and production data, work with data and plot summary statistics, load duration curves, etc.

Intended Learning outcomes (measured by the assessment)

• Learn how to write a Python script to solve a basic scientific problem.

• Learn some Python libraries (numpy, matplotlib, pandas, networkx, scipy, pygame) that power system engineers and data scientists routinely use

• Learn to represent data graphically, especially time series data and graph data

• Remind basic notions of electrical circuits and sinusoidal steady state analysis: electric and magnetic fields, voltage and current, phasors, impedance, active/reactive/complex/apparent power, power factor, etc.

• Learn to extract information from raw data: compute summary statics and plots. Learn how to write a Python script to solve a basic scientific problem.

Learning activities and approach

E-learning (online)

None

Lectures (onsite)

12h

Lectures

Tutorials (onsite)

12h

Exercises

Useful information

Location

Montefiore Institute, building B28, Allée de la découverte 10, 4000 Liège

Practical work equipment

Please bring your laptop. We will install the necessary tools at the beginning of the first day.

Other information

Assessment method

Projects during the week.

Prerequisites

Basics of Python coding.

Related literature

None.

Want to print your doc?
This is not the way.

Try clicking the ⋯ next to your doc name or using a keyboard shortcut (

CtrlP

) instead.