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: 25
| 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 | 2018 – 2019 |
| Class Period | Winter |
| Faculty Instructors |
|
| Weekly Hours | 3 |
| Total Hours | 70 |
| Class ID | 600121661
|
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/1/600121661
- 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)
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
Course Content (Syllabus)
Generalized linear models
Multivariate statistics
Network analysis and applications
Spatial models
Educational Material Types
- Slide presentations
- 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
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
- Written Exam with Short Answer Questions (Summative)
- Oral Exams (Summative)
- Written Exam with Problem Solving (Summative)
Last Update
22-01-2020
