Bioinformatic tools and applications in -omics technologies
| Title | Προγραμματιστικά εργαλεία και εφαρμογές σε -omics τεχνολογίες / Bioinformatic tools and applications in -omics technologies |
| Code | ΙΑΒ06 |
| Faculty | Health Sciences |
| School | Medicine |
| Cycle / Level | 2nd / Postgraduate |
| Teaching Period | Spring |
| Coordinator | Antigoni Malousi |
| Common | No |
| Status | Active |
| Course ID | 600019990 |
Programme of Study: DtPMS Iatrikī Akriveías - Metafrastikī Éreuna kai THerapeutikī (2025-méchri sīmera)
Registered students: 0
| Orientation | Attendance Type | Semester | Year | ECTS |
|---|---|---|---|---|
| KORMOS | Elective Courses | 2 | 1 | 5 |
Programme of Study: PPS Precision Medicine-Translational Research and Therapeutics
Registered students: 9
| Orientation | Attendance Type | Semester | Year | ECTS |
|---|---|---|---|---|
| Core | Elective Courses | 2 | 1 | 6 |
| Academic Year | 2021 – 2022 |
| Class Period | Spring |
| Instructors from Other Categories |
|
| Weekly Hours | 3 |
| Class ID | 600199259
|
Digital Course Content
- e-Study Guide https://qa.auth.gr/en/class/1/600199259
- At the Website of the School: http://precision.med.auth.gr/
Language of Instruction
- Greek (Instruction, Examination)
Prerequisites
Required Courses
- ΙΑΑ03 Bioinformatics
General Prerequisites
The students should be familial with the basic concepts and application fields of Bioinformatics. The on-site courses include hands-on computer exercises.
General Competences
- Apply knowledge in practice
- Retrieve, analyse and synthesise data and information, with the use of necessary technologies
- Work in an interdisciplinary team
- Generate new research ideas
Educational Material Types
- Notes
- Slide presentations
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
Course Organization
| Activities | Workload | ECTS | Individual | Teamwork | Erasmus |
|---|---|---|---|---|---|
| Lectures | 52 | ✓ | ✓ | ||
| Laboratory Work | 28 | ✓ | ✓ | ||
| Project | 28 | ✓ | |||
| Written assigments | 17 | ✓ | |||
| Total | 125 |
Student Assessment
Student Assessment methods
- Written Assignment (Formative, Summative)
- Report (Formative, Summative)
Bibliography
Course Bibliography (Eudoxus)
Αποθετήριο ηλεκτρονικών συγγραμμάτων “Κάλλιπος”:
1. Βερύκιος, Β., Καγκλής, Β., Σταυρόπουλος, Η., 2015. Η επιστήμη των δεδομένων μέσα από τη γλώσσα R. [ηλεκτρ. βιβλ.] Αθήνα:Σύνδεσμος Ελληνικών Ακαδημαϊκών Βιβλιοθηκών. Διαθέσιμο στο: http://hdl.handle.net/11419/2965
2. Ντζούφρας, Ι., Καρλής, Δ. 2015. Εισαγωγή στον προγραμματισμό και στη στατιστική ανάλυση με R. [ηλεκτρ. βιβλ.] Αθήνα:Σύνδεσμος Ελληνικών Ακαδημαϊκών Βιβλιοθηκών. Διαθέσιμο στο: http://hdl.handle.net/11419/2602
Additional bibliography for study
Διαδικτυακά συγγράμματα:
1. Various R books (https://bookdown.org)
2. Quick-R by datacamp (https://www.statmethods.net)
3. A little book of R for Bioinformatics (https://a-little-book-of-r-for-bioinformatics.readthedocs.io/en/latest/)
Last Update
16-03-2022
