COMPUTATIONAL INTELLIGENCE - STATISTICAL LEARNING
| Title | ΥΠΟΛΟΓΙΣΤΙΚΗ ΝΟΗΜΟΣΥΝΗ-ΣΤΑΤΙΣΤΙΚΗ ΜΑΘΗΣΗ / COMPUTATIONAL INTELLIGENCE - STATISTICAL LEARNING |
| Code | DM16 |
| Faculty | Sciences |
| School | Informatics |
| Cycle / Level | 2nd / Postgraduate |
| Teaching Period | Winter |
| Coordinator | Anastasios Tefas |
| Common | No |
| Status | Active |
| Course ID | 40002451 |
Programme of Study: PPS School of Informatics (2014-today)
Registered students: 12
| Orientation | Attendance Type | Semester | Year | ECTS |
|---|---|---|---|---|
| TECΗNOLOGIES GNŌSĪS DEDOMENŌN KAI LOGISMIKOU | Elective Courses | 1 | 1 | 7.5 |
| TECΗNOLOGIES PLĪROFORIAS KAI EPIKOINŌNIŌN STĪN EKPAIDEUSĪ | Elective Courses | 1 | 1 | 7.5 |
| PSĪFIAKA MESA- YPOLOGISTIKĪ NOĪMOSYNĪ | Elective Courses belonging to the selected specialization | 1 | 1 | 7.5 |
| DIKTYAKA SYSTĪMATA | Elective Courses | 1 | 1 | 7.5 |
Programme of Study: PPS of School of Informatics (2013-today)
Registered students: 0
| Orientation | Attendance Type | Semester | Year | ECTS |
|---|---|---|---|---|
| Information Systems | Elective Courses | 1 | 1 | 7.5 |
| Information And Communication Technologies In Education | Elective Courses | 1 | 1 | 7.5 |
| Digital Media | Compulsory Course | 1 | 1 | 7.5 |
| Communication Systems and Technologies | Elective Courses | 1 | 1 | 7.5 |
Programme of Study: PPS Informatics 2
Registered students: 0
| Orientation | Attendance Type | Semester | Year | ECTS |
|---|---|---|---|---|
| Information Systems | Elective Courses | 1 | 1 | 7.5 |
| Information and Communication Technologies in Education | Elective Courses | 1 | 1 | 7.5 |
| Digital Media | Compulsory Course | 1 | 1 | 7.5 |
| Communication Systems and Technologies | Elective Courses | 1 | 1 | 7.5 |
| Academic Year | 2016 – 2017 |
| Class Period | Winter |
| Faculty Instructors |
|
| Weekly Hours | 3 |
| Class ID | 600039948
|
Course Type 2016-2020
- Background
- General Knowledge
- Scientific Area
- Skills Development
Course Type 2011-2015
Specific Foundation / Core
Mode of Delivery
- Face to face
Digital Course Content
- e-Study Guide https://qa.auth.gr/en/class/1/600039948
Erasmus
The course is also offered to exchange programme students.
Language of Instruction
- Greek (Instruction, Examination)
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
- Generate new research ideas
- Design and manage projects
- Be critical and self-critical
- Advance free, creative and causative thinking
Educational Material Types
- Notes
- Slide presentations
- Video lectures
- Multimedia
- Book
Use of Information and Communication Technologies
Use of ICT
- Use of ICT in Course Teaching
- Use of ICT in Communication with Students
Course Organization
| Activities | Workload | ECTS | Individual | Teamwork | Erasmus |
|---|---|---|---|---|---|
| Lectures | 39 | 1.3 | ✓ | ||
| Reading Assigment | |||||
| Tutorial | |||||
| Project | |||||
| Written assigments | |||||
| Total | 39 | 1.3 |
Student Assessment
Student Assessment methods
- Written Exam with Short Answer Questions (Formative, Summative)
- Written Assignment (Summative)
- Oral Exams (Formative, Summative)
- Performance / Staging (Summative)
- Written Exam with Problem Solving (Summative)
- Report (Summative)
Bibliography
Course Bibliography (Eudoxus)
1. Richard O. Duda, Peter E. Hart, David G. Stork, "Pattern Classification (2nd Edition)", John Wiley & Sons, 2000
2. Trevor Hastie, Robert Tibshirani, Jerome Friedman, The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Springer-Verlag, 2008.
3. Διαφάνειες και υλικό σε ηλεκτρονική μορφή
4. E-books στα Αγγλικά
Additional bibliography for study
Sergios Theodoridis, Konstantinos Koutroumbas, "Pattern Recognition", Academic Press, 1999.
Last Update
04-10-2013
