Linear Programming (MAE631K): Διαφορά μεταξύ των αναθεωρήσεων
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=== Attached Bibliography === | === Attached Bibliography === | ||
See the official [https://service.eudoxus.gr/public/departments#20 Eudoxus site] or the [https://cloud.math.uoi.gr/index.php/s/62t8WPCwEXJK7oL local repository] of Eudoxus lists per academic year, which is maintained by the Department of Mathematics. | <!-- In order to edit the bibliography, visit the webpage --> | ||
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See the official [https://service.eudoxus.gr/public/departments#20 Eudoxus site] or the [https://cloud.math.uoi.gr/index.php/s/62t8WPCwEXJK7oL local repository] of Eudoxus lists per academic year, which is maintained by the Department of Mathematics. Books and other resources, not provided by Eudoxus: | |||
{{MAE631-Biblio}} | |||
Αναθεώρηση της 18:33, 27 Αυγούστου 2022
Undergraduate Courses Outlines - Department of Mathematics
General
School |
School of Science |
---|---|
Academic Unit |
Department of Mathematics |
Level of Studies |
Undergraduate |
Course Code |
ΜΑΕ631 |
Semester |
6 |
Course Title |
Linear Programming |
Independent Teaching Activities |
Lectures (Weekly Teaching Hours: 3, Credits: 6) |
Course Type |
Special Background |
Prerequisite Courses | - |
Language of Instruction and Examinations |
Greek |
Is the Course Offered to Erasmus Students |
Yes |
Course Website (URL) | See eCourse, the Learning Management System maintained by the University of Ioannina. |
Learning Outcomes
Learning outcomes |
The course learning outcomes are: the introduction of the students to linear programming formulation, the comprehension of the mathematical properties of linear programming problems, the understanding of the theory underlying the simplex algorithm, the understanding of the dual theory and its interpretation, the use of LINDO software package to solve linear programming problems. Upon successful completion of the course the student will be able to:
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General Competences |
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Syllabus
- Linear programming problems formulation
- Graphical solution
- The Simplex Method
- The Big M method
- The Two-Phase Simplex Method
- Dual theory
- Sensitivity analysis
- Transportation problem
- Assignment problem
Teaching and Learning Methods - Evaluation
Delivery |
Face-to-face | ||||||||||
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Use of Information and Communications Technology |
Lindo Software, Email, class web | ||||||||||
Teaching Methods |
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Student Performance Evaluation |
LANGUAGE OF EVALUATION: Greek
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Attached Bibliography
See the official Eudoxus site or the local repository of Eudoxus lists per academic year, which is maintained by the Department of Mathematics. Books and other resources, not provided by Eudoxus: