Junior Year

From a theoretical perspective, the topics and concepts covered will address the following themes:

• Database Design: Extending the E/A and UML Models.

• Functional dependencies and normalization (transitive closure, coverage

  minimal, multivalued dependencies, Chase's algorithm, the various forms

  normal, etc.).

• SQL Extensions: Data Manipulation Language (complex queries),

  data definition language, data control language

• Transactions

• Procedural language

• Trigger

• Indexing and Optimization

  From a practical standpoint, the database management system used in the courses will be Oracle. As part of the project, other systems such as MySQL or Postgres may be used.

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This course aims to introduce first-order logic, also known as predicate calculus.

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The goal of this course unit is to bring together researchers and industry professionals working in a specific field of computer science within the same session. The topics covered will span the entire spectrum of computer science while focusing on the specializations offered in the master’s programs of the Department of Computer Science:

• Master's in Computer Science: IASD, Imagine, Algorithms, GL, and RIC tracks,

• Master's in Bioinformatics

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The objective of this module is to gain an understanding of how to use symbolic and numerical computation both in mathematical experimentation and to aid in solving certain problems in computer science.

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This course is designed to provide an introduction to the software environments necessary for modern software development. Topics covered will include version control, modeling, test development, virtualization, continuous integration, and more.

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This module explores some advanced topics in algorithm design and analysis.

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To define a career plan, it is necessary to understand the job market and various industries, identify professions and jobs, articulate one’s educational and training background, and begin building a professional network. This module will enable students to develop and present a career plan aligned with the job market and their educational background. This module will also cover more general communication skills, particularly those needed to present work and information, both orally and in writing.

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This course aims to introduce first-order logic, also known as predicate calculus.

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In the first part: a more in-depth look at the basic concepts of differential calculus covered in the second year.

In the second part: introduce the qualitative analysis of differential equations.

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The objective of this module is to gain an understanding of how to use symbolic and numerical computation both in mathematical experimentation and to aid in solving certain problems in computer science.

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Acquire a basic understanding of group and ring theory and illustrate these concepts with examples.

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Acquire a basic understanding of the theory of measure and integration.

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To illustrate, from a probabilistic perspective, the concepts covered in the “Measure—Integration—Fourier” course unit, and to introduce the necessary tools for students who will take the Stochastic Modeling course unit in the second semester of their third year of undergraduate studies. 

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This course is designed to provide an introduction to the software environments necessary for modern software development. Topics covered will include version control, modeling, test development, virtualization, continuous integration, and more.

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This module explores some advanced topics in algorithm design and analysis.

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Introduce the basic concepts of topology and their application to the study of functional spaces.

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To build on the basic concepts of group and ring theory covered in the previous semester.

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Acquire a basic understanding of mathematical optimization and its applications.

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