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Masters
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Computer Science & IT
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Data Science and Machine Learning (Online) (MSc) - HOU
MASTERS

Data Science and Machine Learning (Online) (MSc) - HOU

Hellenic Open University
PatrasGreece
Online
Full-time
€2,600.00total
Duration
2 Years
Language
English

Program Description

The master in Data Science and Machine Learning (Online) (MSc) aims to deliver knowledge and develop skills in state-of-the-art methods and computing tools in Data Science and Machine Learning, in an accessible manner and by promoting active learning.

The master in Data Science and Machine Learning (Online) (MSc) focuses on hands-on computational applications of these methods, utilizing data from all modern scientific fields (natural sciences, engineering, informatics, humanities, and life sciences).

Students will be hands-on practicing using programming tools and up-to-date computing tools. The master in Data Science and Machine Learning (Online) (MSc) aims to combine knowledge of fundamental concepts and techniques with specific applications to make its graduates aptly skilled in today’s labor and market.

Entry Requirements

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Curriculum

Year 1

Mathematics for Machine Learning

Foundations in Computer Science

Year 2

Algorithmic Techniques and Systems for Data Science and Machine Learning

Numerical and Computational Techniques for Data Science and Machine Learning

Learning Outcomes

Students will be able to:

  • Understand the conceptual framework of algorithmic design.
  • Understand computational mechanisms for creative processes of generating space and objects.
  • Analyze the form of space or object in the context of algorithmic thinking, and describe it with parametric models.
  • Get to know and get acquainted with the methodologies of parametric design and the use of visual code.
  • Manage complex data structures in algorithmic design.
  • Design and implement according to algorithmic design mechanisms and rationales.
  • Incorporate design criteria in the form of parameters in such mechanisms.
  • Sketch using algorithms.
  • Understand fundamental concepts from curve and surface theory and get to know the properties of curves and surfaces.
  • Manage Euclidean transformations on planes and in space.
  • Design pleated and folded (hinged) surfaces.
  • Design Bezier surfaces, NURBS surfaces, free form surfaces and calculate their appropriate developments.
  • Control the evolution and transformation of the form of the object being designed and determine the desired solutions to the design problem from a series of variations.
  • Understand the link between the process of digital design and digital fabrication.
  • Understand the capabilities of digital fabrication techniques, as well as their differences, and adapt the digital model according to the limitations of digital prototyping machines.
  • Choose the appropriate digital fabrication method according to the geometric characteristics of the model, the properties of the construction material and the digital prototyping machines.
  • Know the meaning, basic principles, and parameters of interaction.
  • Analyze examples of relevant interactive systems and understand the terms of anadvantageous interaction and the parameters to achieve it.
  • Know the perceptual parameters,capabilities, and limitations of habitation in an interactive environment.
  • Understand and manage the concept of visual geometric illusion.
  • Understand the basic principles of applying the above methodologically and practically in the design of interaction.
  • Understand and use the methods and parameters of design of interactive performances, installations, spaces, or objects in applied projects.
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