Special Topics in Theoretical Computer Science (ΠΛ9): Διαφορά μεταξύ των αναθεωρήσεων
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! Learning outcomes | ! Learning outcomes | ||
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* Theoretical Computer Science is the foundation of information science and its main objective is to analyze and solve computational problems that are considered to be the most difficult and most fascinating in the history of mathematics. In addition to the purely mathematical aspect, Theoretical Computer Science offers new and effective techniques for dealing with practical computational problems that arise in all areas of scientific activity. | |||
* The aim of the course is to specialize in areas covered by Theoretical Computer Science, such as Cryptography, Parallel Algorithms, Advanced Scientific Calculations, Approximation Algorithms, Semantics of Programming Languages, Computational Geometry, etc. | |||
* The students of the course are expected to have advanced theoretical and practical skills in a wide range of subjects of vital importance for the Theoretical Computer Science and Mathematics. It will provide students with the opportunity to gain a strong background while exploring applications of Theoretical Computer Science in other areas such as economics, physics and biology. | |||
* The course includes individual exercises, summary writing and presentation of relevant research papers. | |||
* The course material will be adapted and specialized according to the necessary developments and requirements. | |||
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! General Competences | ! General Competences | ||
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* Search for, analysis and synthesis of data and information, with the use of the necessary technology | |||
* Working independently | |||
* Team work | |||
* Project planning and management | |||
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Αναθεώρηση της 20:36, 10 Νοεμβρίου 2022
Graduate Courses Outlines - Department of Mathematics
General
| School | School of Science |
|---|---|
| Academic Unit | Department of Mathematics |
| Level of Studies | Graduate |
| Course Code | ΠΛ9 |
| Semester | 1 |
| Course Title | Special Topics in Theoretical 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
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| General Competences |
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Syllabus
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