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TCSS6AC

Computer Science 2

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TCS23

Course Title:

Computer Science 2

6IC6S31

Duration : 30 hours

ECTS Credits : 3.5  

Semester : S6

Person(s) in charge:

Guillaume Bonfante, Associate Professor, Pierre-Etienne Moreau, Professor, guillaume.bonfante@mines-nancy.univ-lorraine.f, pierre-etienne.moreau@mines-nancy.univ-lorraine.fr

Keywords : Computer Science, programming, data structures, scientific questions

 

Prerequisites : Programing notions in Python

 

Objective : Global computer science course through the example of a programing language

 

Program and Content :

Data oriented conception : abstract model of the world, precision and coverage of the representation.
Example of a tutorial : animal population model, dynamic of population.

 Computational recursion, conceptual strength, self referencing problems, link with maths and logic. Recursive structure, trees, graphs, inductive reasoning, choice of display.
Example of a tutorial : L-systems, living creatures modelisation by rewriting rules

Computational networks, OSI models, notions of adress, communication protocol, port.
Example of a tutorial: Communication between programs through sockets, internet access.

Bio-inspired algorithms,  binary cellular automaton, neuronal networks and genetical algorithms.
Example of a tutorial:  placement of nodes in a graph.

Robotics, reactive programming, call-back.
Example of a tutorial:  movement of a robot, trajectory conception, A* algorithms.

 

Abilities : 

Levels

Description and operational verbs

Know 

Fundamental aspects of computer science: programming notions, calculus notions, links between math and computer science. Current scientific questions like complexity, bio-inspired algorithms, language processing.

Understand

Computational networks, layered model
Interactions between the real world and the computational world. 

Apply

Programming with Python. Mastery of a programming environment: edition, execution, debug, project organization, executables synthesis.

Analyze

Definition of data structures, display choices. Specifications of an issue, abstract models conception. Functional analysis of problems.

Summarise

A computational solution for elementary problems. Nested looped algorithms. Network protocol.

Assess

The complexity of a computational problem, the quality of an algorithm, network protocol.

Evaluations :

  •  Written test
  •  Continuous Control
  •  Oral report
  •  Project
  •  Written report