Convex Analysis (AN11): Διαφορά μεταξύ των αναθεωρήσεων

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! Learning outcomes
! Learning outcomes
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The course aims to an introduction to convex analysis at graduate level. Material varies from classical topics on convex analysis to recent research problems. The students should:
* get knowledge on issues from a wide area of topics on convex analysis,
* aim ability to start research on problems on the theory of convex analysis,
and,
* be introduced to the literature on problems in the area of convex analysis that he/she was taught.
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! General Competences
! General Competences
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* Working independently.
* Team work.
* Production of free, creative and inductive thinking.
* Production of analytic and synthetic thinking.
* Search for, analysis and synthesis of data and information, with the use of the necessary technology.
* Get in touch with specialized knowledge and evolve abilities for comparing, obtaining and evaluating results on the specific area of interest.
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Αναθεώρηση της 18:27, 13 Νοεμβρίου 2022

Graduate Courses Outlines - Department of Mathematics

General

School School of Science
Academic Unit Department of Mathematics
Level of Studies Graduate
Course Code AN11
Semester 2
Course Title Convex Analysis
Independent Teaching Activities Lectures (Weekly Teaching Hours: 3, Credits: 7.5)
Course Type Specialized general knowledge
Prerequisite Courses

Real Analysis, Calculus I and Calculus II

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 course aims to an introduction to convex analysis at graduate level. Material varies from classical topics on convex analysis to recent research problems. The students should:

  • get knowledge on issues from a wide area of topics on convex analysis,
  • aim ability to start research on problems on the theory of convex analysis,

and,

  • be introduced to the literature on problems in the area of convex analysis that he/she was taught.
General Competences
  • Working independently.
  • Team work.
  • Production of free, creative and inductive thinking.
  • Production of analytic and synthetic thinking.
  • Search for, analysis and synthesis of data and information, with the use of the necessary technology.
  • Get in touch with specialized knowledge and evolve abilities for comparing, obtaining and evaluating results on the specific area of interest.

Syllabus

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Teaching and Learning Methods - Evaluation

Delivery

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Use of Information and Communications Technology

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Teaching Methods
Activity Semester Workload
Lectures 39
ΧΧΧ 000
ΧΧΧ 000
Course total 187.5
Student Performance Evaluation

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Attached Bibliography

Πρότυπο:MAM199-Biblio