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Teaching Activities of Nikos Perdikopanis

Undergraduate Courses

  • Fall – Teaching of laboratory courses in Introduction to Programming, Department of Informatics, NKUA.
  • Fall – Teaching of laboratory courses in Object-Oriented Programming (C++), Department of Informatics, NKUA.
  • Fall – Teaching tutorial sessions in Deep Learning , Department of Informatics, NKUA.
  • Spring – Teaching tutorial sessions in Pattern Recognition – Machine Learning , Department of Informatics, NKUA.
  • Spring – Teaching of laboratory courses in Systems Programming, Department of Informatics, NKUA.

MSc Courses

  • Fall – Databases in Bioinformatics, MSc in Bioinformatics, NKUA.
  • Spring – Computational Analysis of Biological Macromolecule Sequences, MSc in Bioinformatics, NKUA.

Lifelong Learning

  • Bioinformatic analysis of Next Generaration (NGS) data.
  • Using Python to analyse bioinformatic data.