Informatics

Course Professor

Mantzaris Dimitrios
EDIP Computational Intelligence & Health Informatics

dmantzar@uth.grObjectives of the course (intended learning outcomes)
Course code: ΜΓ02– Become familiar with the basic principles of Computer Science and New Technologies
– Use the potential of information technology in education, clinical practice and research
– Define the basic concepts of computer science
– Understand the operation of computer systems
– Distinguish the subsystems of the structure of computer systems
– present the categories of operating systems and their functions
– Understand the concepts of cloud technologies and how to use them
– Understand and distinguish the concepts of Computational Intelligence, Artificial Intelligence, Machine Learning and Deep Learning
– operate spreadsheet software
– Operate presentation software
– carry out statistical processing of data
– Perform statistical analyses
– visualise the results of analyses
– Present results using presentation software
– Understand and operate synchronous and asynchronous training systems
Year of study: 2ndCourse content
Semester: 3rd– Technological means of support for the critically ill
– Collaborating specialties for the management of critically ill patients
– Quality of life after ICU (Qualys: Quality adjusted life years)
– Perspectives and considerations for the operation of the critically ill wards
– Basic IT concepts
– Remote support – Cloud services
– Internet access technologies
– Internet security
– Internet of Things (IoT)
– Data Science.
– Data collection, storage, storage, processing
– Data collection, storage, collection, collection, storage and retrieval – Data collection, collection, storage, collection, storage, collection, storage and analysis
– Extraction of conclusions – Presentation of data.
– e-Health – Computational Intelligence
– Plagiarism control – Plagiarism detection – Presentation of information – Computational Intelligence – Computer Science – Plagiarism control
ECTS: 10 
 Recommended literature to study
 Students are given articles and reviews from the International Bibliography
 Teaching and learning methods
 The module is taught in the form of academic lectures and tutorial exercises and assignments.
 Evaluation/grading methods
 Final written examination 60%, participation in exercises during the course 40%
 

Teaching language: Greek