Bioinformatics
| Title | Βιοπληροφορική / Bioinformatics |
| Code | ΒΜ016 |
| Faculty | Engineering |
| School | Electrical and Computer Engineering |
| Cycle / Level | 1st / Undergraduate, 2nd / Postgraduate |
| Teaching Period | Spring |
| Coordinator | Michail Aivaliotis |
| Common | Yes |
| Status | Active |
| Course ID | 600020758 |
Programme of Study: DPMS VIOÏATRIKĪ MĪCΗANIKĪ
Registered students: 12
| Orientation | Attendance Type | Semester | Year | ECTS |
|---|---|---|---|---|
| KORMOS | Elective Courses | 2 | 1 | 5 |
| Academic Year | 2025 – 2026 |
| Class Period | Spring |
| Faculty Instructors |
|
| Weekly Hours | 4 |
| Class ID | 600293494
|
Course Type 2021
Specific Foundation
Mode of Delivery
- Face to face
Digital Course Content
- e-Study Guide https://qa.auth.gr/en/class/1/600293494
- At the Website of the School: https://bme.web.auth.gr/courses/
- eLearning: https://elearning.auth.gr/course/view.php?id=17619
Language of Instruction
- English (Instruction, Examination)
Prerequisites
General Prerequisites
Basic knowledge of biochemistry, molecular biology and computer science at university level.
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
- Work in an international context
- Work in an interdisciplinary team
- Generate new research ideas
- Be critical and self-critical
Course Content (Syllabus)
Week Topic Lecture / Lab Teacher
Week 1 Introduction to Bioinformatics - Overview Lecture M. Aivaliotis - I. Kappas
Week 2 Databases Lecture / Lab I. Kappas
Week 3 Sequence alignment - Blast Lecture / Lab I. Kappas
Week 4 Statistical methods in bioinformatics Lecture I. Kitsas
Week 5 Bioinformatics platforms (R Bioconductor, Galaxy) Lecture / Lab A. Malousi
Week 6 High-throughput technologies: NGS and microarrays Lecture G. Tzimagiorgis
Week 7 Bioinformatics in Genomics Lecture / Lab A. Malousi
Week 8 Bioinformatics in Transcriptomics Lecture / Lab M. Aivaliotis
Week 9 Bioinformatics in Epigenomics Lecture / Lab A. Malousi
Week 10 Bioinformatics in Proteomics Lecture / Lab M. Aivaliotis
Week 11 Bioinformatics in Metabolomics Lecture / Lab M. Aivaliotis
Week 12 Clustering, visualization and network analysis Lecture / Lab N. Pitsianis
Week 13 The role of bioinformatics in systems biology - Data integration Lecture M. Aivaliotis
Educational Material Types
- Notes
- Slide presentations
- Interactive excersises
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
| Activities | Workload | ECTS | Individual | Teamwork | Erasmus |
|---|---|---|---|---|---|
| Lectures | |||||
| Laboratory Work | |||||
| Written assigments | |||||
| Exams | |||||
| Total |
Student Assessment
Student Assessment methods
- Written Exam with Multiple Choice Questions (Summative)
- Written Assignment (Summative)
- Performance / Staging (Summative)
- Labortatory Assignment (Summative)
Last Update
30-11-2023
