Post graduate courses

Tutor: Vassilios Tampakas, Professor

Short Description:

Linear Regression, Logistic Regression, Nonlinear Optimization, Ensemble Learning, Semi-supervised Learning, Deep Learning, Image and Video Analytics, Audio and Text Analytics, Big Data Analytics

Supported by Lab: Yes

Semester:  2

Category: Specialized

Official link:

Tutors:  Vassilios Tampakas, Professor

              Ioannis Tsaknakis, Associate Professor

Short Description:

Distributed architectures for big data processing, advanced use of NoSQL Data Bases, Big Data Analytics, Use of Inclusive Ecosystem for Big Data Processing (e.g Hadoop, Spark)

Supported by Lab: Yes

Semester:  2

Category: Compulsory

Official link:

Tutor: Vassilios Tampakas, Professor

Short Description:

Advanced Subjects of Synchronization in Threads and Processes, Synchronization of Distributed Processes, Advanced Subjects of Distributed Computing and Algorithms, Peer to Peer (P2P) networks, Advanced Subjects of Distributed Data Bases, Distributed Computing  and ΙοΤ, Distributed Computing  and Big Data, Advanced use of  distributed programming frameworks (e.g. MPI and Python)

Supported by Lab: Yes

Semester:  1

Category: Compulsory

Official link:

Tutors:  Ioannis Zaharakis, Professor

            Ioannis Kougias, Professor

Short Description:

Introduction to Machine learning, Support vector machines, Decision trees (DT) & Rule learning, Bayes learning – Instance-base learners, Genetic programming, Association rules, Clustering, Markov and Hidden Markov Models, Machine Learning with Python and R

Supported by Lab: Yes

Semester:  1

Category: Compulsory

Official link: