Big Data
The need for data scientists has grown exponentially over the past few
years. While there are many Big Data or Data Science minors out there,
this minor uniquely focuses on the interaction between the field of Data
Science and Artificial intelligence and uses a software-oriented approach to
solving ‘wicked (data) problems’.
Leerdoelen
The student is able to:
work on a data science driven research project
create and train a machine learning model/pattern
create an application to show the outcomes of the machine learning
/ deep learning models/patterns
design and develop a highly scalable parallel distributed processing
cluster of nodes
cooperate with fellow students in software development activities
effectively communicate with external clients
Ingangseisen
Bachelor ICT 3rd year with experience in programming.
Rooster
April – June
Class days: 4 days (1 day off)
Toetsing
Project assessment for Big Data & AI Project consisting of a written
report, a code review and a presentation of the created application.
Individual final assignment for Machine Learning, Deep Learning &
Statistics (Data Mining)
Individual final assignment for Big Data & AI Fundamentals
Individual weekly assignments for Parallel Distributed Systems
(Hadoop)
Individual weekly assignments for Computer Vision
All assessments must be completed with a sufficient grade (55 or higher)
Course - EC - Type - Weekly lectures - Self-study
1) Big Data & AI Project (5EC) - Theory - 2 hours - 12 hours
2) Big Data & AI Fundamentals (2EC) - Project - 3 hours - 3 hours
3) Machine Learning, Deep Learning & Statistics (Data Mining) (2EC) - Practical / Assignments - 2 hours - 3 hours
4) Parallel Distributed Processing (Hadoop Fundamentals)
(3EC) - Practical / Assignments - 3 hours - 3 hours
5) Computer Vision (Digital Image Processing) (1EC) - Workshops - 2 hours - 3 hours
6) Professional Presenting (1EC) - Presentation - 2 hours - 0 hours
7) Study Coaching (1EC) - Portfolio - N/A - 2 hours
Total (15EC) - Weekly lectures 14 hours - Self-study 24 hours
Aanvullende informatie
The core of the minor consists of a group project for an external client,
which provides you the opportunity to work on real-life realistic problems.
Strategies and teaching activities
Workshops by experts
Do research with your project group
Lectures on theory combined with practical exercises
Competences
Analysing - Specifying a distributed computer system consisting of
timing, resource usage and performance
Designing - Designing a software system while taking into account
existing components and libraries, while making use of design
principles and/or quality criteria
Designing - Designing a distributed computer system, including
setting up actuators, sensors, timing, resource usage and
performance
Realising - Setting up an infrastructure that meets demands in
terms of performance, usability, security and compliance
Realising - Realising a public or private cloud based infrastructure
and services while taking note of all requirements