Data Analysis
| Title | ΑΝΑΛΥΣΗ ΔΕΔΟΜΕΝΩΝ / Data Analysis |
| Code | 0571 |
| Faculty | Sciences |
| School | Mathematics |
| Cycle / Level | 1st / Undergraduate |
| Teaching Period | Spring |
| Coordinator | Charalampos Bratsas |
| Common | No |
| Status | Active |
| Course ID | 600015303 |
Programme of Study: UPS of School of Mathematics (2014-today)
Registered students: 136
| Orientation | Attendance Type | Semester | Year | ECTS |
|---|---|---|---|---|
| Core | Elective Courses | Spring | - | 5 |
| Academic Year | 2019 – 2020 |
| Class Period | Spring |
| Instructors from Other Categories |
|
| Weekly Hours | 3 |
| Class ID | 600147728
|
Course Type 2011-2015
Knowledge Deepening / Consolidation
Mode of Delivery
- Face to face
Digital Course Content
- e-Study Guide https://qa.auth.gr/en/class/1/600147728
- eLearning (Moodle): https://elearning.auth.gr/course/view.php?id=11716
Erasmus
The course is also offered to exchange programme students.
Language of Instruction
- Greek (Instruction, Examination)
Prerequisites
Required Courses
- 0502 Probability Theory I
- 0503 Statistics
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 teams
- Work in an interdisciplinary team
- Generate new research ideas
- Design and manage projects
- Be critical and self-critical
- Advance free, creative and causative thinking
Educational Material Types
- 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
- Use of ICT in Student Assessment
Course Organization
| Activities | Workload | ECTS | Individual | Teamwork | Erasmus |
|---|---|---|---|---|---|
| Lectures | 39 | 1.3 | |||
| Laboratory Work | 40 | 1.3 | |||
| Reading Assigment | 68 | 2.3 | |||
| Exams | 3 | 0.1 | |||
| Total | 150 | 5 |
Student Assessment
Student Assessment methods
- Written Exam with Multiple Choice Questions (Formative, Summative)
- Written Exam with Short Answer Questions (Formative, Summative)
- Written Assignment (Formative, Summative)
- Written Exam with Problem Solving (Formative, Summative)
- Labortatory Assignment (Formative, Summative)
Bibliography
Course Bibliography (Eudoxus)
1. Η Επιστήμη των Δεδομένων
Κωδικός Βιβλίου στον Εύδοξο: 77120638
Έκδοση: 1η/2018
Συγγραφείς: Β, Βερύκιος, Σ. Κωτσιαντής, Η. Σταυρόπουλος, Μ. Τζαγκαράκης
ISBN: 978-960-578-043-2
2. Η επιστήμη των δεδομένων μέσα από τη γλώσσα R,
Συγγραφέας: Βασίλειος Βερύκιος, Βασίλειος Καγκλής, Ηλίας Σταυρόπουλος
Έκδοση ebook: ΣΕΑΒ, ΚΑΛΛΙΠΟΣ (πηγή)
Έτος έκδοσης: 2015
ISBN: 978-960-603-394-0
Last Update
15-03-2020
