BIOSTATISTICS - BIOINFORMATICS
| Title | ΒΙΟΣΤΑΤΙΣΤΙΚΗ — ΒΙΟΠΛΗΡΟΦΟΡΙΚΗ / BIOSTATISTICS - BIOINFORMATICS |
| Code | FHB.1.4 |
| Faculty | Sciences |
| School | Biology |
| Cycle / Level | 2nd / Postgraduate |
| Teaching Period | Winter/Spring |
| Coordinator | Ilias Kappas |
| Common | No |
| Status | Active |
| Course ID | 600026536 |
Programme of Study: DTPMS YGIEINĪ KAI VIOTECΗNOLOGIA TROFIMŌN
Registered students: 0
| Orientation | Attendance Type | Semester | Year | ECTS |
|---|---|---|---|---|
| KORMOS | Compulsory Course | 1 | 1 | 6 |
| Academic Year | 2025 – 2026 |
| Class Period | Winter |
| Faculty Instructors | |
| Weekly Hours | 4 |
| Class ID | 600273598
|
Course Type 2021
Specific Foundation
Mode of Delivery
- Face to face
Digital Course Content
- e-Study Guide https://qa.auth.gr/en/class/1/600273598
Language of Instruction
- Greek (Instruction, Examination)
- English (Instruction, Examination)
Learning Outcomes
Upon successful completion of the course, students will be able to: 1) apply the steps of statistical inference, 2) perform analyses in SPSS, 3) manage, evaluate and analyze molecular data, 4) use biological databases, 5) operate tools for retrieval, comparison and analysis of biological information.
General Competences
- Retrieve, analyse and synthesise data and information, with the use of necessary technologies
- Work in an interdisciplinary team
Course Content (Syllabus)
The course covers the combined understanding of basic principles of statistical analysis and processing of biological data. Course contents include 1) introduction to basic statistical concepts, distributions and statistical inference, 2) hands-on statistical analysis in SPSS, 3) analysis of variance (ANOVA), 4) discriminant analysis, 5) principal components analysis, linear regression analysis. With regard to bioinformatics analysis, students will be trained in computer applications on the organization and understanding of biological information, the management, control and analysis of molecular data for the purpose of drawing biological conclusions, the use of the numerous databases of biological information via the internet, tools for retrieval, comparison and analysis of biological information and the finding of homology between DNA and protein sequences.
Educational Material Types
- Slide presentations
- Video lectures
- 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 | 40 | 1.6 | |||
| Laboratory Work | 12 | 0.5 | |||
| Reading Assigment | 68 | 2.7 | |||
| Interactive Teaching in Information Center | 12 | 0.5 | |||
| Exams | 18 | 0.7 | |||
| Total | 150 | 6 |
Student Assessment
Student Assessment methods
- Written Exam with Multiple Choice Questions (Summative)
- Written Exam with Short Answer Questions (Summative)
- Oral Exams (Summative)
- Written Exam with Problem Solving (Summative)
Last Update
19-05-2025
