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, and this in an automatic way via the use of a dedicated Python library : BioPython. 

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

The algorithms presented will focus on problems related to sorting, stacks, queues, arrays.... 

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This course aims at introducing the functional programming paradigm. First, we will talk about lambda-calculus, which is the computational model on which functional languages are based. Then, we will teach a real functional programming language, namely OCaml.

The presentation of OCaml will mainly follow the following plan:
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.

If time permits, we will also look at the module system of OCaml, one of the main motivations of which is to group related definitions, but which also allows to introduce reusability through the system of parameterized modules (functors).

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Basic mathematics for computer science with emphasis on:

• combinatorics and enumeration,

• logic,

• sequences and recurrences,

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Introduction of 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 course we will study languages and their representation, in particular rational languages and their representation by finite state automata.

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Continuation of HAI101I, Algorithms 1

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

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The aim of this module is, in the continuity of the HAI109H module, to provide skills for the analysis of DNA sequences from genomic data, from the reading of DNA sequences to the comparative analysis of these sequences in order to extract relevant information, and this in an automatic way via the use of a dedicated Python library: BioPython. 

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Introduction to web application programming

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This course is intended for computer scientists and presents the main models and results of collective choice. 

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