School / Prep
ENSEIRB-MATMECA
ECTS
10 credits
Internal code
EI5A
Description
Level of knowledge :
N1: beginner
N2: intermediate
N3: confirmed
N4: expert
The knowledge expected at the end of the course
Understanding algorithms and complexity: (C1, N1), (C2, N1)
Understanding algorithms on inductive data structures: (C1, N1), (C2, N1)
Understanding the notion of formal reasoning: (C1, N1), (C2, N1)
Understand the notion of information: (C1, N1), (C2, N1)
Understand probability and statistics: (C1, N1), (C2, N1)
Learning outcomes in terms of abilities, skills and attitudes expected at the end of EU courses
Implement algorithms on simple data structures: (C4, N1)
Evaluate the complexity of an iterative and inductive algorithm: (C5, N1)
Choose the data structures and algorithms best suited to a problem: (C4, N1)
Formalize the description of an algorithm: (C4, N1)
Formalize the specification of a problem: (C4, N1)
Argue the termination and correction of an algorithm: (C5, N1), (C8, N1)
Compare different methods of coding information: (C5, N1)
Organize and classify data sets: (C8, N1)
Handle data involving probabilities: (C5, N1), (C8, N1)