Bioinformatics- Biostatistics II

Course Information
TitleΙατρική Πληροφορική – Ιατρική Στατιστική ΙΙ / Bioinformatics- Biostatistics II
FacultyHealth Sciences
Cycle / Level2nd / Postgraduate
Teaching PeriodWinter
CoordinatorPanagiotis Bamidis
Course ID600015221

Programme of Study: PPS Clinical and Industrial Pharmacology - Clinical Toxicology

Registered students: 39
OrientationAttendance TypeSemesterYearECTS
CoreCore Courses114

Class Information
Academic Year2022 – 2023
Class PeriodWinter
Faculty Instructors
Instructors from Other Categories
Weekly Hours2
Class ID
Course Type 2021
Specific Foundation
Course Type 2011-2015
General Foundation
Mode of Delivery
  • Face to face
  • Distance learning
Language of Instruction
  • Greek (Instruction, Examination)
Required Courses
  • ΜΙΦΑ0020 Biostatistics I
Learning Outcomes
By the end of this course students will be able to: -understand the basic concepts of computer science and the basic software tools that are relevant to the subject of pharmacology -realize the importance of managing information through software systems and decision support systems and be able to implement them in practice -adopt new technologies in their lifelong learning -be aware of the latest software tools in the field of pharmaceutical research and practice (desktop and mobile) -be aware of the importance of specific research topics related to pharmacology and the search for data and bibliographic sources -use advanced statistical methodologies for pharmaceutical research -apply multifactorial analysis, completeness check of the assumptions of each multifactor model, and choice of final model
General Competences
  • Apply knowledge in practice
  • Retrieve, analyse and synthesise data and information, with the use of necessary technologies
  • Adapt to new situations
  • Make decisions
  • Work autonomously
  • Generate new research ideas
  • Be critical and self-critical
  • Advance free, creative and causative thinking
Course Content (Syllabus)
Health Informatics - Introduction, modern concepts, applications and tools Open and interconnected data. Big data: Principles of learning and extracting knowledge about adverse drug reactions Online pharmacology databases. DrugBank: Search and export of information using open interconnected data techniques. Research surveys - organization and implementation workshop Tools and technologies for organizing research and writing the bibliography Multi-factorial linear dependence Multifactorial regression and dependence Multi-factorial risk Cox model
Health Informatics, social media, semantic web, big data, research survey, organsing research
Educational Material Types
  • Notes
  • Slide presentations
  • Video lectures
  • Multimedia
Use of Information and Communication Technologies
Use of ICT
  • Use of ICT in Course Teaching
  • Use of ICT in Laboratory Teaching
  • Use of ICT in Communication with Students
  • Use of ICT in Student Assessment
Distance learning, e-quiz, e-learning
Course Organization
Laboratory Work30.1
Reading Assigment30.1
Written assigments40.1
Student Assessment
Student Assessment methods
  • Written Exam with Multiple Choice Questions (Summative)
  • Written Assignment (Formative, Summative)
  • Oral Exams (Formative)
Course Bibliography (Eudoxus)
Cimino J., Shortlife (2013) Βιοπληροφορική-Εφαρμογές Υπολογιστών στη Φροντίδα Υγείας και τη Βιοϊατρική, BROKEN HILL PUBLISHERS LTD. κωδικός στον ΕΥΔΟΞΟ: 13256855
Additional bibliography for study
-Π. Μπαμίδης, Κ. Παπάς, Ιατρική Πληροφορική & Διαδίκτυο στις Σύγχρονες Υπηρεσίες Υγείας, (Έκδοση) Υγειονομική Περιφέρεια Μακεδονίας, Θεσσαλονίκη, 2008 -συμπληρωματικά διανέμονται και δωρεάν ηλεκτρονικές σημειώσεις στο
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