L1 - Computer science minor SNV

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The aim of this module is to provide skills for the analysis of DNA sequences from genomic data, from the extraction of sequences from public databases to the manipulation of these sequences in order to extract relevant information, automatically using a dedicated Python library: BioPython. 

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In this module we introduce the basic concepts of algorithms (notion of problem, problem instance, instance size, notion of complexity, termination, proof of validity).

The algorithms presented will deal with problems related to sorting, stacks, queues, arrays.... 

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This course introduces the functional programming paradigm. First, we'll talk about lambda-calculus, the computational model on which functional languages are based. We then move on to teach a real functional programming language, namely OCaml.

The presentation of OCaml will mainly follow the following outline:
1. Basic types, definitions.
2. Function declarations.
3. Basic data structures (tuples, lists).
4. Advanced data structures (sum types, records).
5. Exceptions.
6. Higher-order functions, iterators on lists.

Time permitting, we'll also take a look at OCaml's module system, one of whose main motivations is to group together related definitions, but which also introduces reusability through the system of parameterized modules (functors).

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Basic mathematical concepts for computer science, with a focus on :

• combinatorics and counting,

• logic,

• sequences and recurrences,

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Introduction to the main concepts of computer systems

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The theory of languages and automata belongs to the fundamental branch of computer science. In this teaching unit, we will study languages and their representation, in particular rational languages and their representation by finite state automata.

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HAI101I Suite, Algorithms 1

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Master the basics of C programming; understand how algorithms and abstract data structures are implemented in the machine.

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Following on from module HAI109H, the aim of this module is to provide skills for the analysis of DNA sequences from genomic data, from reading the DNA sequences to comparative analysis of these sequences in order to extract relevant information, and to do so automatically using a dedicated Python library: BioPython. 

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Introduction to Web application programming

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This course is aimed at computer scientists and presents the main models and results of collective choice. 

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