DATA MINING
| Title | ΕΞΟΡΥΞΗ ΔΕΔΟΜΕΝΩΝ / DATA MINING |
| Code | APBE.02.02 |
| Faculty | Sciences |
| School | Biology |
| Cycle / Level | 2nd / Postgraduate, 3rd / Doctorate |
| Teaching Period | Winter/Spring |
| Coordinator | Spyridon Papakostas |
| Common | No |
| Status | Active |
| Course ID | 600022129 |
Programme of Study: DIPMS EFARMOSMENĪ VIOPLĪROFORIKĪ 2022
Registered students: 30
| Orientation | Attendance Type | Semester | Year | ECTS |
|---|---|---|---|---|
| KORMOS | Elective Courses | 2 | 1 | 6 |
| Academic Year | 2025 – 2026 |
| Class Period | Spring |
| Faculty Instructors | |
| Instructors from Other Categories | |
| Weekly Hours | 10 |
| Total Hours | 20 |
| Class ID | 600293293
|
Course Type 2021
Specific Foundation
Mode of Delivery
- Face to face
Digital Course Content
- e-Study Guide https://qa.auth.gr/en/class/1/600293293
- eLearning (Moodle): https://elearning.auth.gr/course/view.php?id=17272
Language of Instruction
- English (Instruction, Examination)
Learning Outcomes
Upon successful completion of the course, students will:
1) be able to discover information from large databases
2) be able to identify patterns and information using clustering/categorization algorithms
3) define and describe the principles of statistics, machine learning and database systems
4) be able to convert information and patterns into human-understandable structures.
General Competences
- Retrieve, analyse and synthesise data and information, with the use of necessary technologies
- Work in an interdisciplinary team
Course Content (Syllabus)
Teaching the main data mining algorithms (supervised and unsupervised learning, correlation rules), data pre-processing and study of examples of analysis in each case.
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 | 72 | 2.9 | |||
| Laboratory Work | 16 | 0.6 | |||
| Interactive Teaching in Information Center | 22 | 0.9 | |||
| Exams | 40 | 1.6 | |||
| Total | 150 | 6 |
Student Assessment
Student Assessment methods
- Written Exam with Multiple Choice Questions (Summative)
- Written Exam with Short Answer Questions (Summative)
- Written Exam with Problem Solving (Summative)
- Report (Summative)
Last Update
28-01-2024
