Pattern Recognition and Machine Learning
| Title | Αναγνώριση Προτύπων και Μηχανική Μάθηση / Pattern Recognition and Machine Learning |
| Code | 109 |
| Faculty | Engineering |
| School | Electrical and Computer Engineering |
| Cycle / Level | 1st / Undergraduate |
| Teaching Period | Winter |
| Coordinator | Panagiotis Petrantonakis |
| Common | Yes |
| Status | Active |
| Course ID | 600001074 |
Programme of Study: Electrical and Computer Engineering
Registered students: 117
| Orientation | Attendance Type | Semester | Year | ECTS |
|---|---|---|---|---|
| ELECTRICAL ENERGY | Elective Courses | 7 | 4 | 5 |
| ELECTRONICS AND COMPUTER ENGINEERING | Elective Courses | 7 | 4 | 5 |
| TELECOMMUNICATIONS | Elective Courses | 7 | 4 | 5 |
| Academic Year | 2023 – 2024 |
| Class Period | Winter |
| Faculty Instructors | |
| Weekly Hours | 5 |
| Class ID | 600236062
|
Course Type 2021
Specialization / Direction
Course Type 2016-2020
- Scientific Area
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/1/600236062
- eLearning: https://elearning.auth.gr/course/view.php?id=9013
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
- Make decisions
- Be critical and self-critical
- Advance free, creative and causative thinking
Course Content (Syllabus)
Pattern recognition and Machine Learning focuses on the design of systems capable of extracting patterns from data. Issues related to feature extraction, error estimation and model statistics are also discussed. State-of-the art fields such as Machine learning, Data mining, Computer vision and Human Computer Interaction employ Pattern Recognition principles.
Topics covered within the context of the course:
a) Introduction to Pattern Recognition principles
b) Data preprocessing and exploration
c) Classification
d) Clustering
e) Dimensionality reduction
Keywords
Data Analysis, Classification, Clustering, Pattern recognition
Educational Material Types
- Slide presentations
- Book
- Projects
Use of Information and Communication Technologies
Use of ICT
- Use of ICT in Course Teaching
Description
E-learning, a moodle-based system has been customized by the university IT team. It allows instructors to post announcements, communicate with students, upload lectures, exercises and their solutions, set up and run course projects. E-learning also supports a Forum for coursework discussion.
Course Organization
| Activities | Workload | ECTS | Individual | Teamwork | Erasmus |
|---|---|---|---|---|---|
| Lectures | 39 | 1.3 | ✓ | ||
| Reading Assigment | 16 | 0.5 | ✓ | ||
| Tutorial | 27 | 0.9 | ✓ | ||
| Written assigments | 44 | 1.5 | ✓ | ||
| Exams | 24 | 0.8 | ✓ | ||
| Total | 150 | 5 |
Student Assessment
Description
Student Assessment methods
- Written Exam with Multiple Choice Questions (Formative)
- Written Exam with Short Answer Questions (Formative)
- Written Exam with Extended Answer Questions (Formative)
- Written Assignment (Summative)
- Oral Exams (Formative)
- Written Exam with Problem Solving (Formative)
- Report (Formative)
Bibliography
Course Bibliography (Eudoxus)
1. Τίτλος Συγγράμματος: «Αναγνώριση Προτύπων», Συγγραφέας: Σ. Θεοδωρίδης, Κ. Κουτρουμπάς, Εκδόσεις: 2011 Πασχαλίδης ή BROKEN HILL PUBLISHERS LTD
ISBN: 9789604891450, Κωδικός Βιβλίου στον Εύδοξο: 13256974
2. Τίτλος Συγγράμματος: «Αναγνώριση Προτύπων και Μηχανική Μάθηση», Συγγραφέας: Christopher Bishop, Εκδόσεις: Φούντας, ISBN: 9789603307907, Κωδικός Βιβλίου στον Εύδοξο: 86053413
Last Update
03-09-2024
