MATHEMATICS AND STATISTICS
| Title | ΜΑΘΗΜΑΤΙΚΑ ΚΑΙ ΣΤΑΤΙΣΤΙΚΗ / MATHEMATICS AND STATISTICS |
| Code | EC.ENB.5.17 |
| Faculty | Sciences |
| School | Biology |
| Cycle / Level | 1st / Undergraduate |
| Teaching Period | Winter |
| Coordinator | Athanasios Kallimanis |
| Common | No |
| Status | Active |
| Course ID | 40001670 |
Programme of Study: PPS Tmīma Viologías (2017-sīmera)
Registered students: 34
| Orientation | Attendance Type | Semester | Year | ECTS |
|---|---|---|---|---|
| Moriakī Viología, Genetikī kai Viotechnología | Elective Courses | 5 | 3 | 4 |
| Perivallontikī Viología | Elective Courses | 5 | 3 | 4 |
| Genikī | Elective Courses | 5 | 3 | 4 |
| Academic Year | 2020 – 2021 |
| Class Period | Winter |
| Faculty Instructors | |
| Instructors from Other Categories |
|
| Weekly Hours | 3 |
| Class ID | 600167904
|
Class Schedule
| Building | Βιολογίας |
| Floor | Ισόγειο |
| Hall | ΑΙΘΟΥΣΑ Ι2 (208) |
| Calendar | Τρίτη 14:00 έως 16:00 |
| Building | Βιολογίας |
| Floor | Ισόγειο |
| Hall | ΑΙΘΟΥΣΑ Ι2 (208) |
| Calendar | Πέμπτη 14:00 έως 16:00 |
Course Type 2016-2020
- Background
- General Knowledge
Course Type 2011-2015
General Foundation
Mode of Delivery
- Face to face
Digital Course Content
- e-Study Guide https://qa.auth.gr/en/class/1/600167904
- eLearning (Moodle): https://elearning.auth.gr/course/view.php?id=8991
Erasmus
The course is also offered to exchange programme students.
Language of Instruction
- Greek (Instruction, Examination)
- English (Examination)
Prerequisites
Required Courses
- EC.01.01 MATHEMATICS AND STATISTICS IN BIOLOGY
General Prerequisites
Basic statistics
Learning Outcomes
The students would learn how to
treat data (qualitative and quantitative)
apply statistical models to their data
present the results of data analysis
General Competences
- Apply knowledge in practice
- Retrieve, analyse and synthesise data and information, with the use of necessary technologies
- Work autonomously
- Be critical and self-critical
- Advance free, creative and causative thinking
Course Content (Syllabus)
Generalized linear models
Multivariate statistics
Network analysis and applications
Spatial models
Educational Material Types
- Slide presentations
- Video lectures
- Multimedia
- Interactive excersises
- Book
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
Description
Use of R statistical package
Course Organization
| Activities | Workload | ECTS | Individual | Teamwork | Erasmus |
|---|---|---|---|---|---|
| Lectures | 45 | 1.8 | ✓ | ||
| Reading Assigment | 30 | 1.2 | ✓ | ||
| Written assigments | 25 | 1 | ✓ | ✓ | |
| Total | 100 | 4 |
Student Assessment
Student Assessment methods
- Oral Exams (Formative, Summative)
- Labortatory Assignment (Formative, Summative)
Bibliography
Additional bibliography for study
Αρθρα και σχετιζομενα δεδομένα απο Dryad
Last Update
12-02-2021
