Systems Biology

General

  • Code: TABO-91-Θ1
  • Semester:
  • Study Level: Undergraduate
  • Course type:
  • Teaching and exams language: Greek (English for Erasmus students)
  • The course is offered to Erasmus students
  • Teaching Methods (Hours/Week): Lectures (3)
  • ECTS Units: 5
  • Class Schedule:

Course Contents

  • Introduction: what is systems biology.
  • What is biological data: types and databases.
  • The types of problems that are solved using the techniques of systems biology.
  • Analysis of genetic information.
  • Gene expression study.
  • Methods of phylogenetic analysis.
  • Biological networks.
  • The main mathematical models in biological networks.
  • Biological systems.
  • Biochemical networks.
  • Case studies and applications.

Educational Goals

Upon successful completion of the course students should be able to:

  • Understand the basic principles of systems biology.
  • To be able to search, study and understand a study on systems biology.
  • To seek and understand modern methods of computational systems biology.

General Skills

  • Application of knowledge in practice.
  • Autonomous Work.
  •  Team work.
  • Promotion of inductive thinking.
  • Work in an interdisciplinary environment.
  •  Search, process and analyze data using modern methods.

Teaching Methods

  • In the classroom, face to face.

Use of ICT means

  • Basic software (windows, word, power point, the web, etc.).
  • Support of learning process through the electronic platform / e-class.

Teaching Organization

ActivitySemester workload
Lectures39
Individual works40
Group work10
Independent Study11
Total100

Students Evaluation

  • Final written exam including multiple choice questions, problem solving, benchmarking of theory elements.
  • Presentation of group work.

Recommended Bibliography

  1. Υπολογιστική Βιολογία: Αρχές και Μέθοδοι Ανάλυσης Βιολογικών Δεδομένων, Νικολάου Χ., Χουβαρδάς Π. Κάλλιπος, Ανοικτές Ακαδημαϊκές Εκδόσεις.