Program Requirements
Le Certificat d’études supérieures en analyse de données pour les systèmes complexes (15 crédits) permet aux étudiant(e)s – avec ou sans formation technique préalable – d’acquérir des notions de base sur des systèmes complexes. Le programme encourage les étudiant(e)s à appliquer des techniques d’analyse de données pour mieux comprendre des phénomènes propres à des domaines comme la technologie financière, la gestion de l’organisation ou le marketing numérique. le programme est offert enligne.
cours réquis (9 unités)
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CCCS 610 Digital Thinking for Data Analysis (3 unités)
Vue d'ensemble
Informatique (CCE) : Examination of programmable tools for data analysis. Application methods to implement fundamental algorithms making use of data structures.
Terms: Automne 2024
Instructors: There are no professors associated with this course for the 2024-2025 academic year.
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CCCS 620 Data Analysis and Modelling
(3 unités)
Vue d'ensemble
Informatique (CCE) : Analysis of fundamental concepts and techniques for data analysis and modelling; basic mathematical and computational concepts needed for data analysis. Application of programmable tools to real-world examples.
Terms: Automne 2024
Instructors: There are no professors associated with this course for the 2024-2025 academic year.
Not open to students who have taken CCS2 505.
Course may be offered in person or online with synchronous and asynchronous activities.
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CCCS 630 Complex Systems (3 unités)
Vue d'ensemble
Informatique (CCE) : Tools and techniques for modelling and simulating diverse complex systems; network analysis with applications in social, biological, and infrastructure networks; and chaotic systems.
Terms: Automne 2024
Instructors: There are no professors associated with this course for the 2024-2025 academic year.
cours complémentaires (6 unités)
6 unités parmi les cours suivants :
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CCCS 670 Information Visualization (3 unités)
Vue d'ensemble
Informatique (CCE) : Examination of the application of computational and mathematical concepts, tools, and techniques to visualize quantitative multi-dimensional information. Qualitative information in static, animated, and interactive digital formats. Guidelines and best practices from cognitive psychology, UX, and graphic design, including dashboard tools and storytelling methods.
Terms: This course is not scheduled for the 2024-2025 academic year.
Instructors: There are no professors associated with this course for the 2024-2025 academic year.
Course includes synchronous activities.
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CCCS 680 Scalable Data Analysis (3 unités)
Vue d'ensemble
Informatique (CCE) : Concepts, tools, and metrics related to scaling up data analysis to handle massive amounts of data. Examination of methods for enabling technologies and applications such as big data and cloud computing.
Terms: This course is not scheduled for the 2024-2025 academic year.
Instructors: There are no professors associated with this course for the 2024-2025 academic year.
Not open to students who have taken CMIS 550.
Course includes synchronous activities.
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CCCS 690 Applied Computational Research (3 unités)
Vue d'ensemble
Informatique (CCE) : Analysis of a real-world case study of choice. Examination of version-controlled repositories and project management tools for tracking the tasks. Identification, formulation, and application of data-driven projects in areas of interest.
Terms: This course is not scheduled for the 2024-2025 academic year.
Instructors: There are no professors associated with this course for the 2024-2025 academic year.
Ou tout autre cours de niveau 600 offert et approuvé par l'unité. Autorisation du département requise.
