Code
MGFE INF 4402
Level
M1
Field
Informatique
Language
Anglais/English
ECTS Credits
1
Class hours
18
Program Manager(s)
Department
- Data analytics, Économie et Finances
Introduction to the module
Familiarize students with the basics of programming in Python and give them the tools to manipulate, analyse and visualize data.
Learning goals/Programme objectives
- LG1 Being able to extend digital intelligence through its different dimensions
Learning objectives/Intended learning outcomes
- 1.1 - Develop digital citizenship and prosperity
- 1.3 - Develop competitiveness in business, and digital sovereignty
Rubrics
— (DQ15) Content creation and computational literacy: Synthesizing, creating, and producing information, media, and technology in an innovative and creative manner.
— (DQ23) Data and AI literacy: Generating, processing, analyzing, presenting meaningful information from data and developing, using, and applying artificial intelligence (AI) and related algorithmic tools and strategies in order to guide informed, optimized, and contextually relevant decision-making processes.
— (CPS1) Data/information management: Gathering information from various sources to understand a problem; Classifying and categorizing data to identify patterns and relationships, Assessing the quality, relevance, and significance of information, and Applying reasoning, deduction, and induction to make sense of information and reach conclusions.
Content : structure and schedule
Session 1: Introduction to Python
* Notebook and Markdown
* Getting started with Python
Session 2: Data structures in Python
* Collections: lists, tuples, dictionaries and sets
* Pandas dataframes
Session 3: Python control flow
* Loops, Conditions, Functions
Section 4: Data analysis with Python
* Practical work (TD) with real world data
Learning delivery
synchrone
Evaluation and grading system and catch up exams
- Continous assessment (3 homeworks + practical session report): 75%
- Final exam on paper: 25%