Introduction to programming

lsinc1101  2020-2021  Charleroi

Introduction to programming
Due to the COVID-19 crisis, the information below is subject to change, in particular that concerning the teaching mode (presential, distance or in a comodal or hybrid format).
5 credits
30.0 h + 30.0 h
Q1
Teacher(s)
Mens Kim; Nijssen Siegfried;
Language
French
Content
  • Programs, source code and program execution
  • Identifiers, variables, values, types, assignment
  • Expressions, statements
  • Conditional structures and loops
  • Functions, parameters, calls, results, execution, variable scoping
  • Specifications and tests
  • Modules
  • Data structures, lists, strings and their operations
  • References and nested data structures
  • Nestsed lists, tuples, matrices, dictionnaries
  • Dichotomic search algorithms
  • File handling, input/output
  • Exception handling
  • Object-oriented programming and garbage collection
  • Classes, objects, constructors, methods
  • References to an object, self-references and self-calls
  • Class, instance and local variables, scope and visibility
  • Class composition, inheritance and encapsulation
  • Polymorphism, super calls and dynamic binding
  • Object equality
  • Linked data structures
Teaching methods

Due to the COVID-19 crisis, the information in this section is particularly likely to change.

The chosen teaching method relies on active student participation, through a mixture of :
  • course lectures,
  • partical exercice sessions with tutors,
  • programming exercices on the INGInious platform?
Even though preference will be given to face-to-face teaching sessions, depending on the health situation and the number of students enrolled, other forms of teaching and evaluation (online, co-modal or hybrid) may be considered.
Evaluation methods

Due to the COVID-19 crisis, the information in this section is particularly likely to change.

A programming assignment is due each week.  A mid-term evaluation takes place in the middle of the first semester.  The end-of-term exam aims to assess both the understanding of the course material and the capacity to apply it to write simple but correct Python programs.
The final grade can take into account the mid-term evaluation and the work done during the quadrimester, in addition to the grade from the exam.  The assignments and the mid-term evaluation cannot be retaken for the June or September sessions.
In case of plagiarism detection confirmed by a plagiarism detection tool the course teachers reserve the right to invite the student to pass an oral interrogation.
Online resources
All course material will be made available online: slides, syllabus, exercices, ...
Faculty or entity
EPL


Programmes / formations proposant cette unité d'enseignement (UE)

Title of the programme
Sigle
Credits
Prerequisites
Aims
Bachelor in Computer Science
SINC1BA
5