Natural Language Processing (ΠΛ6): Διαφορά μεταξύ των αναθεωρήσεων
Από Wiki Τμήματος Μαθηματικών
Γραμμή 78: | Γραμμή 78: | ||
! Delivery | ! Delivery | ||
| | | | ||
Face to face | |||
|- | |- | ||
! Use of Information and Communications Technology | ! Use of Information and Communications Technology | ||
| | | Yes | ||
|- | |- | ||
! Teaching Methods | ! Teaching Methods | ||
Γραμμή 93: | Γραμμή 92: | ||
| 39 | | 39 | ||
|- | |- | ||
| | | Self study | ||
| | | 78 | ||
|- | |- | ||
| | | Exercises | ||
| | | 70.5 | ||
|- | |- | ||
| Course total | | Course total | ||
Γραμμή 105: | Γραμμή 104: | ||
! Student Performance Evaluation | ! Student Performance Evaluation | ||
| | | | ||
* Final essays (40%) . | |||
* Exercises -questions requiring critical thinking (30%). | |||
* Presentations of related issues (30%). | |||
|} | |} | ||
Αναθεώρηση της 19:55, 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 | ΠΛ6 |
Semester | 1 |
Course Title | Natural Language Processing |
Independent Teaching Activities | Lectures (Weekly Teaching Hours: 3, Credits: 7.5) |
Course Type | Specialization |
Prerequisite Courses |
Undergraduate courses in Automata Theory and Formal Languages, Introduction to Natural language Processing. |
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 |
The goal of this course is the deeper understanding of Natural Language Processing which concern to:
as well as the introduction of students to critical thinking and research process. During the course a detailed examination of the above topics is done. After completing the course the student can handle theoretical documentation of problems and solving exercises, which are related to:
|
---|---|
General Competences |
|
Syllabus
- Properties of the Computation Theory Mathematical Models
- Problems classification to solvable and unsolvable
- Solvable Problems Classification
Teaching and Learning Methods - Evaluation
Delivery |
Face to face | ||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Use of Information and Communications Technology | Yes | ||||||||||
Teaching Methods |
| ||||||||||
Student Performance Evaluation |
|