Linear Programming (MAE631K)

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)	-

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: to model linear programming problems. to solve linear programming problems with the Simplex method. to apply the appropriate modifications of Simplex method when it is necessary. to validate and interpret the results obtained when linear programming problems are solved using LINDO software.

General Competences

Working independently Decision-making Adapting to new situations Production of free, creative and inductive thinking Synthesis of data and information, with the use of the necessary technology.

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
Use of Information and Communications Technology	Lindo Software, Email, class web
Teaching Methods	Activity Semester Workload Lectures 39 Independent study 78 Fieldwork (3-4 set of homework) 33 Course total 150
Student Performance Evaluation	LANGUAGE OF EVALUATION: Greek METHODS OF EVALUATION: Final exam (100%)

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. Additionally:

• ΛΟΥΚΑΚΗΣ Μ. Επιχειρησιακή έρευνα γραμμικός προγραμματισμός, Εκδοτικό Κέντρο Βορείου Ελλάδας, 1994.
• ΟΙΚΟΝΟΜΟΥ Γ. και ΓΕΩΡΓΙΟΥ Α., ΠΟΣΟΤΙΚΗ ΑΝΑΛΥΣΗ ΓΙΑ ΤΗ ΛΗΨΗ ΔΙΟΙΚΗΤΙΚΩΝ ΑΠΟΦΑΣΕΩΝ, Τόμοι Α και Β, Εκδόσεις Μπένου, Αθήνα 2000.
• ΟΙΚΟΝΟΜΟΥ Γ. και ΤΣΟΤΡΑ Γ . ΠΟΣΟΤΙΚΗ ΑΝΑΛΥΣΗ ΠΕΡΙΠΤΩΣΕΩΝ, Εκδόσεις Μπένου, Αθήνα 1996
• ΠΑΠΑΡΡΙΖΟΣ Κ., Γραμμικός Προγραμματισμός. Εκδόσεις Ζυγός, Θεσσαλονίκη 1999
• ΣΙΣΚΟΣ Γ., Γραμμικός Προγραμματισμός, Εκδόσεις Νέων Τεχνολογιών, Αθήνα 1998.
• HAMDY TAHA, Επιχειρησιακή Έρευνα Εκδόσεις Α. Τζιολα & ΥΙΟΙ Α.Ε., 2011
• HILLIER F. S. and G. J. Lieberman Introduction Operations research. The McGraw-Hill Companies, 2001
• WINSTON W. L., Operations research (Applications and algorithms). Duxbury Press (International Thomson Publishing) 1994.
• HADLEY G. Linear Programming, Addison-Wesley Publishing Company, INC, 1965
• BERTSIMAS D. and J. N. TSITSIKLIS Introduction to Linear Optimization, Athena Scientific 1997
• GASS S. Linear Programming Methods and Applications, McGraw-Hill 1985
• Journal: Mathematical Programming Journal, Series A and Series B
• Journal: INFORMS Transactions on Education (ITE)