Translational Research & Data analysis
| Title | Μεταφραστική Ιατρική και Ανάλυση δεδομένων / Translational Research & Data analysis |
| Code | ΙΑΑ06 |
| Faculty | Health Sciences |
| School | Medicine |
| Cycle / Level | 2nd / Postgraduate |
| Teaching Period | Winter |
| Coordinator | Michail Aivaliotis |
| Common | No |
| Status | Active |
| Course ID | 600019984 |
Programme of Study: DtPMS Iatrikī Akriveías - Metafrastikī Éreuna kai THerapeutikī (2025-méchri sīmera)
Registered students: 0
| Orientation | Attendance Type | Semester | Year | ECTS |
|---|---|---|---|---|
| KORMOS | Compulsory Course | 1 | 1 | 5 |
Programme of Study: PPS Precision Medicine-Translational Research and Therapeutics
Registered students: 17
| Orientation | Attendance Type | Semester | Year | ECTS |
|---|---|---|---|---|
| Core | Compulsory Course | 1 | 1 | 5 |
| Academic Year | 2023 – 2024 |
| Class Period | Winter |
| Faculty Instructors |
|
| Instructors from Other Categories |
|
| Weekly Hours | 3 |
| Class ID | 600241642
|
Course Type 2021
Specific Foundation
Mode of Delivery
- Face to face
- Distance learning
Digital Course Content
- e-Study Guide https://qa.auth.gr/en/class/1/600241642
- eLearning: https://elearning.auth.gr/course/view.php?id=14821
Language of Instruction
- Greek (Instruction, Examination)
Prerequisites
General Prerequisites
Basic University Level knowledge of Biology and Biochemistry.
Learning Outcomes
Learning the fundamentals in Biomedical research and information analysis.
Learning methods of Data Mining and Management.
Learning the basic principles of precision medicine and accompanying diagnostic protocols and methodologies.
Learning the basic methodologies of clinical translation of molecular data.
Learning the Good Clinical Practice Framework (GCP).
Learning basic methods and examples applied to the validation and clinical exploitation of biomarkers.
Learning the basic models of diseases.
Learning the applications of Omics methodologies and tools in translational research.
Learning the procedures and regulatory frameworks for the security and effectiveness of research and personal data.
Learning molecular databases and their clinical utilization.
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
Educational Material Types
- Slide presentations
- Video lectures
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 | 39 | ✓ | |||
| Reading Assigment | 28 | ✓ | |||
| Tutorial | 8 | ✓ | |||
| Written assigments | 30 | ✓ | |||
| Exams | 10 | ✓ | |||
| Other / Others | 10 | ✓ | |||
| Total | 125 |
Student Assessment
Student Assessment methods
- Written Exam with Multiple Choice Questions (Formative, Summative)
- Written Assignment (Formative, Summative)
- Performance / Staging (Formative, Summative)
Bibliography
Additional bibliography for study
Οι διαφάνειες των διαλέξεών (σε ppt ή pdf), καθώς και οι βεντεοσκοπήσεις των διαλέξεων του μαθήματος, που αναρτώνται στο e-learning.
Last Update
01-03-2024
