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Informatique et Mathématiques appliquées
Une voie, plusieurs choix

> Formation > Cursus ingénieur

Algorithms and data structures 2 - 3MMALG2

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  • Number of hours

    • Lectures : 16.5
    • Tutorials : 16.5
    ECTS : 3.0

Goals

This lecture completes first semester teaching in programming and algorithm design. It is focused on analysis of algorithms and advanced data structures and algorithms. Practical work is used to implement concepts studied during lectures, but also possibly to practice new concepts.

Contact Franck HETROY

Content

Analysis of algorithms: best and worst case, average analysis and amortized cost.
Data structures:
1. Trees
2. Dictionnaries
3. Priority queues
4. Graphs
Recursive programming; divide and conquer.



Prerequisites

Algorithms and data structures 1.

Tests

Continuous assessment (CC) + one written exam (3h max, E1) and a mark for the practical work (TP).



N1=(3*E1+TP+CC)/5
N2=E2

Additional Information

Curriculum->CORE->Semester 2
Team->Programming and Software

Bibliography

C. Froidevaux, M.C. Gaudel, M.Soria : Types de données et algorithmes, McGraw-Hill, 1990.
T. Cormen, C.E. Leiserson, R. Rivest, C. Stein : Introduction to Algorithms, MIT Press, 2nd edition, 2001.
A. V. Aho, J. E. Hopcroft, J. D. Ullman : Data Structures and Algorithms, Addison-Wesley, 1985.

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Université Grenoble Alpes