Special Topics in Computer Science (ΠΛ10): Διαφορά μεταξύ των αναθεωρήσεων
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! Use of Information and Communications Technology | ! Use of Information and Communications Technology | ||
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Use of projector and interactive board during lectures. | |||
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! Teaching Methods | ! Teaching Methods | ||
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| | | Exercises - Homework | ||
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! Student Performance Evaluation | ! Student Performance Evaluation | ||
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* Written exercises (50%) | |||
* Essay / report (20%) | |||
* Public presentation (30%) | |||
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Αναθεώρηση της 20:42, 10 Νοεμβρίου 2022
Graduate Courses Outlines - Department of Mathematics
General
School | School of Science |
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Academic Unit | Department of Mathematics |
Level of Studies | Graduate |
Course Code | ΠΛ10 |
Semester | 2 |
Course Title | Special Topics in Computer Science |
Independent Teaching Activities | Lectures (Weekly Teaching Hours: 3, Credits: 7.5) |
Course Type | Elective |
Prerequisite Courses |
641 - Design and Analysis of Algorithms |
Language of Instruction and Examinations |
Greek |
Is the Course Offered to Erasmus Students | Yes (in English) |
Course Website (URL) | See eCourse, the Learning Management System maintained by the University of Ioannina. |
Learning Outcomes
Learning outcomes |
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General Competences |
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Syllabus
The main objective of the course is to specialize in areas covered by Computer Science in applied fields such as:
- Data Mining
- Artificial Intelligence
- Database Systems
- Security of Information Systems
- Distributed Systems
- Mobile and Wireless Networks
- Pattern Recognition
- Machine Learning
- Signal Processing
The specialized subject will be adapted and specialized according to the necessary developments and requirements.
Teaching and Learning Methods - Evaluation
Delivery |
Lectures | ||||||||||
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Use of Information and Communications Technology |
Use of projector and interactive board during lectures. | ||||||||||
Teaching Methods |
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Student Performance Evaluation |
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