Bioinformatics and Digital Biology

Course Information
TitleΒιοπληροφορική και Ψηφιακή Βιολογία / Bioinformatics and Digital Biology
CodeDMCI108
FacultySciences
SchoolInformatics
Cycle / Level2nd / Postgraduate
Teaching PeriodWinter
CoordinatorChristos Ouzounis
CommonNo
StatusActive
Course ID600020689

Programme of Study: PMS PSĪFIAKA MESA - YPOLOGISTIKĪ NOĪMOSYNĪ (2018 éōs sīmera) PF

Registered students: 11
OrientationAttendance TypeSemesterYearECTS
KORMOSElective Courses belonging to the selected specialization117.5
Class Information
Academic Year2024 – 2025
Class PeriodWinter
Faculty Instructors
Weekly Hours3
Class ID
600263306
Course Type 2021
Specific Foundation
Mode of Delivery
  • Face to face
  • Distance learning
Digital Course Content
Erasmus
The course is also offered to exchange programme students.
Language of Instruction
  • Greek (Instruction, Examination)
  • English (Instruction, Examination)
Learning Outcomes
Knowledge: Training of students on basic knowledge of biology and computational biology. Biology as a data science. Algorithms and databases for molecular biology. Functional genomics basics. Genome evolution and phylogeny. Computational problems for life sciences. Training of students on knowledge of systems biology. Next-generation data production technologies. Data resources and integration, visualization. Interaction models, graphs, static and dynamic models. Accuracy and quality control. Motif detection algorithms in big data and simulation systems. Intelligent systems for the representation of biological complexity. Synthetic biology, bio-inspired technologies and life technologies. Computational challenges and future perspectives. Skills: Acquiring the ability to identify and select resources and tools for computational biology and systems biology. Solving questions, reproducibility, searching for bibliographic and systems-biology information. Presentation of their work (communication ability, correct use of presentation techniques, familiarization with questions from the public).
General Competences
  • Apply knowledge in practice
  • Retrieve, analyse and synthesise data and information, with the use of necessary technologies
  • Make decisions
  • Work autonomously
  • Work in teams
  • Work in an international context
  • Work in an interdisciplinary team
  • Generate new research ideas
  • Design and manage projects
  • Be critical and self-critical
  • Advance free, creative and causative thinking
Keywords
bioinformatics, genomics, computational biology, systems biology, synthetic biology
Educational Material Types
  • Notes
  • Slide presentations
  • Video lectures
  • Book
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
Course Organization
ActivitiesWorkloadECTSIndividualTeamworkErasmus
Lectures60✓
Laboratory Work25✓✓
Reading Assigment25✓
Tutorial10✓
Interactive Teaching in Information Center35✓
Written assigments50✓
Exams15✓
Bibliography5
Total225
Student Assessment
Description
The course is evaluated in the following ways: • Written examination that contributes 40% of the grade, • Laboratory exercises will be 30% of the total grade, • Simulation of research work will be 30% of the total grade.
Student Assessment methods
  • Written Exam with Multiple Choice Questions (Summative)
  • Written Exam with Short Answer Questions (Summative)
  • Written Exam with Extended Answer Questions (Summative)
  • Written Assignment (Formative)
  • Written Exam with Problem Solving (Summative)
  • Report (Formative)
Bibliography
Course Bibliography (Eudoxus)
Βιοπληροφορική και Λειτουργική Γονιδιωματική, by Jonathan Pevsner publisher: Ακαδημαϊκές Εκδόσεις (2019)
Language: Greek
Σελίδες: 883 ISBN: 978-618-5135-17-1 http://www.bioinfbook.org/ • available at: https://www.booksfree.org/bioinformatics-and-functional-genomics-by-jonathan-pevsner-pdf-free-download/ Συνθετική Βιολογία : Βασικές Αρχές, by Geoff Baldwin et al. publisher: UTOPIA (2017)
Language: Ελληνικά
Paperback: 160 ISBN: 978-618-5173-26-5
Εύδοξος: 68403717
Additional bibliography for study
Bioinformatics: Sequence and Genome Analysis 2nd Edition, by David W. Mount Publisher : Cold Spring Harbor Laboratory Press; 2nd edition (2004)
Language: English
Paperback : 692 pages ISBN-10 : 0879697121 ISBN-13 : 978-0879697129 http://www.bioinformaticsonline.org/ • available at: https://www.booksfree.org/bioinformatics-sequence-and-genomic-analysis-by-david-w-mount/ An Introduction to Systems Biology : Design Principles of Biological Circuits, by Uri Alon publisher: Chapman & Hall; 2nd edition (2019)
Language: English
Paperback: 324 pages ISBN-10: 1439837171 ISBN-13: 978-1439837177 • available at: https://www.weizmann.ac.il/mcb/UriAlon/introduction-systems-biology-design-principles-biological-circuits
Last Update
26-03-2024