Advanced Data Science and Data Analytics

Postgraduate ECE course “Advanced Data Science and Data Analytics” (CS708) tackles current challenges in processing and learning from big data.

The course started in the academic year 2015 - 2016, and you can find its regular syllabus at its official school page.

For the current academic year, exceptionally, CS708 takes the form of a one-track project class: we focus exclusively on Data Analytics / Data Science tasks related to the COVID-19 pandemic.

Projects

Potential research areas include:

  1. Natural Language Processing
  2. Social Networks
  3. Bioinformatics
  4. Epidemiological Data Analysis
  5. Computer Vision
  6. Financial Implications
  7. Other (TBD)

Please consult our COVID-19 datasets & resources page.

Prerequisites

  • Background in Machine Learning and Statistics
  • Some Bioinformatics background is helpful but not required

Staff

For all course and project-related questions, please mail to covid19@ails.ece.ntua.gr.

  • Georgios Alexandridis, TRA (gealexandri at islab ntua gr)
  • Georgios Siolas, TRA (gsiolas at islab ntua gr)
  • Paraskevi Tzouveli, TRA (tpar at image ntua gr

Syllabus

  • Lecture 1 (26/03/20) Data Science Intro. IBM Watson. Information Retrieval
  • Lecture 2 (02/04/20) Question Answering. Word Embeddings
  • Lecture 3 (09/04/20) Seq2Seq. Transformers

Rest of syllabus: The rest of the course includes introductions to Bioinformatics (genome and molecule analysis), Epidemiological Data (mathematical models of disease spreading), Computer Vision for medical applications, and possibly some other topics (TBD), from a Machine Learning / Data Science perspective.