PROG0001-1 : Programming

Study Programmes 2023-2024

PROG0001-1

Programming

Introduction to programming
Programming lab

Volume horaire :

Introduction to programming : 24h Th
Programming lab : 12h Th

Number of credits :

Bachelor's degree : Computer graphics (Bachelor in Computer graphics)		3

Lecturer :

Introduction to programming : Emmanuel DEMUELENAERE, Caroline DUBOIS
Programming lab : Emmanuel DEMUELENAERE, Caroline DUBOIS, Clément SCHMOUKER, Philippe THRONTE

Référent UE :

Caroline DUBOIS

Language(s) of instruction :

French language

Organisation and examination :

Teaching in the first semester, review in January

Units courses prerequisite and corequisite :

Prerequisite or corequisite units are presented within each program

Learning unit contents :

The topics covered are:

The basic structures of algorithmics;
The implementation of sequential programming; T
he development of programs in Python.

Introduction to programming

Concepts of algorithms and programming languages

Control structures: sequential, conditional, and iterative

Data structures: variables, constants, and arrays

Programming lab

Laboratory corresponding to the activity "Introduction to Programming": Translation and testing of algorithms in Python.

Learning outcomes of the learning unit :

At the end of the course, the student is able to:

Understand and analyze an existing algorithm
Analyze a problem: identify input data, output results, and processing steps
Develop an algorithmic solution
Validate the algorithmic solution through execution traces and simple test cases
Adapt an algorithm to the constraints of the programming language (Python).

Introduction to programming

At the end of the learning activity, the student is capable of:

Analyzing a problem: identifying the input data, output results, and processing steps.

Within the learning activity, the objectives are:

Mastering programming structures (keywords and syntax).
Identifying the data in a problem and recognizing the necessary structures for its processing.
Knowing how to implement and arrange the structures to achieve the desired objective.
Being able to verify the algorithm by mentally simulating the obtained result.

Programming lab

At the end of the learning unit, the student is able to:

Understand and analyze an existing algorithm
Analyze a problem: identify the input data, output results, and processing steps
Develop an algorithmic solution
Validate the algorithmic solution through execution traces and simple test cases
Adapt an algorithm to the constraints of the programming language (Python)

Prerequisite knowledge and skills :

NONE

Introduction to programming

None

Programming lab

NONE

Planned learning activities and teaching methods :

Refer to the commitments of each Learning Activity

Introduction to programming

Theoretical course, illustrated with examples, guided exercises, and independent exercises.

Programming lab

Theoretical reminders, presentation of the language used, practical exercises on the computer.

Mode of delivery (face to face, distance learning, hybrid learning) :

Face-to-face teaching

Full presence of the professor

Introduction to programming

Face-to-face teaching

Full presence of the professor

Programming lab

Face-to-face teaching

Full presence of the professor