INTRODUCTION TO CODING AND DATA MANAGEMENT-2
|Academic year||2020/2021 Syllabus of previous years|
|Official course title||INTRODUCTION TO CODING AND DATA MANAGEMENT-2|
|Course code||ET7006 (AF:332688 AR:178847)|
|Modality||For teaching methods (in presence/online) please check the timetable|
|ECTS credits||6 out of 12 of INTRODUCTION TO CODING AND DATA MANAGEMENT|
|Degree level||Bachelor's Degree Programme|
|Educational sector code||ING-INF/05|
|Moodle||Go to Moodle page|
Programming is intended as a way to model real-world problems and to design algorithmic solutions to solve them.
This course teaches students problem solving techniques and algorithmic thinking.
Technical topics cover algorithms, data structures, and Python programming.
The students will achieve the following objectives:
Knowledge: i) learn how to use common libraries (e.g., NumPy and Pandas) and complex data structures to address specific problems; ii) understand common data visualizations techniques and how to use common library (Seaborn) objects to create data visualizations; iii) understand how to organize code into modules and classes.
Application of knowledge: i) use complex library structures to organize, cleanse and analyze data to solve formal algorithmic problems; ii) organize solution code into modules and classes.
Communication: i) generate various data visualizations for preliminary analysis and final presentation.
• Data representation (txt, csv, json, …)
• File read and write
• Data cleansing
• Basics of data processing, analysis and visualization with Panda (series, dataframes, operation, mapping, join) and NumPy (matrices, operations, statistical functions)
• Basics of data visualization (data dimensionality, graphs, charts, maps) with Seaborn
Students are evaluated based on an oral discussion of their team project design, project code and knowledge of course content.