BIOINFORMATICS I - COMPUTATIONAL BIOLOGY

Course Information
TitleΒΙΟΠΛΗΡΟΦΟΡΙΚΗ I -ΥΠΟΛΟΓΙΣΤΙΚΗ ΒΙΟΛΟΓΙΑ / BIOINFORMATICS I - COMPUTATIONAL BIOLOGY
CodeNDM-08-04
FacultySciences
SchoolInformatics
Cycle / Level1st / Undergraduate
Teaching PeriodSpring
CoordinatorChristos Ouzounis
CommonNo
StatusActive
Course ID600020403

Programme of Study: PPS-Tmīma Plīroforikīs (2019-sīmera)

Registered students: 44
OrientationAttendance TypeSemesterYearECTS
GENIKĪ KATEUTHYNSĪYPOCΗREŌTIKO KATA EPILOGĪ635
Class Information
Academic Year2022 – 2023
Class PeriodSpring
Faculty Instructors
Weekly Hours4
Total Hours52
Class ID
600219765
Course Type 2021
Specialization / Direction
Course Type 2016-2020
  • Scientific Area
Course Type 2011-2015
Knowledge Deepening / Consolidation
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)
Prerequisites
General Prerequisites
informatics, programming
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. Skills: Acquiring the ability to identify and select resources and tools for computational biology. Solving questions, reproducibility, searching for bibliographic and molecular 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 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
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
Lectures50
Laboratory Work20
Written assigments25
Exams
journal club5
Total100
Student Assessment
Description
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 (Formative)
  • Written Exam with Short Answer Questions (Formative)
  • Written Exam with Extended Answer Questions (Formative)
  • Written Assignment (Formative)
  • Written Exam with Problem Solving (Formative)
Bibliography
Course Bibliography (Eudoxus)
Βιοπληροφορική και Λειτουργική Γονιδιωματική, by Jonathan Pevsner publisher: Ακαδημαϊκές Εκδόσεις (2019) Language: Greek Σελίδες: 883 Εξώφυλλο: Μαλακό ISBN: 978-618-5135-17-1 http://www.bioinfbook.org/
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
Last Update
29-03-2023