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Scientific Computing and Algorithms

External Lecturer: 
Luca Bortolussi
Giulio Caravagna
Luca Manzoni
Lorenzo Castelli
Course Type: 
PhD Course
Academic Year: 
2020-2021
Period: 
TBA
Duration: 
36 h
CFU (LM): 
6
Description: 

Each bloc requires 6 hrs of lectures and 3 hrs of Labs = 9 x 4 = 36 hours (Dates TBC)

  1. Scientific computing in Python (Giulio Caravagna, UniTS)
  2. Programming methods and software development (Luca Manzoni, UniTS)
  3. Introduction to algorithm and computational complexity (Luca Bortolussi)
  4. Introduction to mathematical optimization (Lorenzo Castelli, UniTS)

Please, notice that this is a course belonging to Data Science Excellence Department programme. MAMA PhD students can plan 33% of their credits (i.e. 50 hrs) from this programme.

Next Lectures: 

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