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Computational Analysis of Big Data

Computational Analysis of Big Data


Computational Analysis of Big Data

About this course

Walmart started using big data even before the term became recognized. Today, industries, governments, social media platforms, finance, and organizations alike use data and analytics to predict future needs to optimize sales, minimize cost, and maximize reach. With a hands-on approach and by working with problem-solving exercises that focus on practical implementations, this course introduces you to a large set of computational tools and techniques for dealing with large-scale data.

Syllabus

Spring 2025 – Section A

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Spring 2025 – Section B

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Spring 2025 – Section C

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Pre-requisites

One year of computer science at university level and a course in algorithms and data structures. Knowledge of at least one programming language (e.g. Python, Javascript, Java, C++, Matlab).

Faculty

Panagiota Katsikouli

Faculty

Ph.D. in Informatics, University of Edinburgh (2018). Currently lecturing as Faculty Member at the Open Institute of Technology (2023-present) and involved in Teaching and Research at the University of Copenhagen (2020–present). Previous experience as post-doctoral Researcher at the Technical University of Denmark (2019-2020), University College of Dublin (2019), and INRIA Lyon (2018-2019). Teaching and Research. With DIS since 2023.

Anders Madsen

Faculty

PhD Fellow researching AI in healthcare at the Technical University of Denmark (2024–present). M.Sc. in Mathematical Modeling and Computing, Technical University of Denmark (2024). B.S. in Engineering, Technical University of Denmark (2022). Previous experience studying deep learning transformer models as Researcher at Danish Pioneer Centre for Artificial Intelligence (2022–2024) and developing a pipeline to capture and examine EEG data as Student Developer at BrainCapture (2021–⁠present). Also serving as Advisor at Copenhagen MedTech, an organization of medical and data science students (2022–present). With DIS since 2024.

Iraklis Moutidis

Faculty

Ph.D. In Computer Science (Natural Language Processing and Social Network Analysis, University of Exeter 2023). Freelance Data Scientist 2021 – Current, Software Developer Moduleering CAE Thessaloniki 2017, Summer Student at CERN Geneva 2016, Research Assistant at CERTH ITI Thessaloniki 2014-2015. With DIS since 2025.  

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