Operational Research
| Title | ΕΠΙΧΕΙΡΗΣΙΑΚΗ ΕΡΕΥΝΑ / Operational Research |
| Code | ΟΙ0205 |
| Faculty | Engineering |
| School | Electrical and Computer Engineering |
| Cycle / Level | 1st / Undergraduate |
| Teaching Period | Spring |
| Coordinator | Konstantinos Papalamprou |
| Common | No |
| Status | Active |
| Course ID | 20002005 |
| Academic Year | 2026 – 2027 |
| Class Period | Spring |
| Faculty Instructors | |
| Class ID | 600308254
|
Course Type 2011-2015
Specific Foundation / Core
Mode of Delivery
- Face to face
Digital Course Content
- e-Study Guide https://qa.auth.gr/en/class/1/600308254
- eLearning: https://elearning.auth.gr/course/view.php?id=12533
Prerequisites
General Prerequisites
Basic Knowledge of Linear Algebra
Basic Knowledge of Probability Theory
Learning Outcomes
1. Understand how to translate a real-world problem, given in words (verbal description), into a mathematical model/formulation.
2. Identify and use the proper mathematical tools and methods that are needed to solve several classes of optimisation problems.
3. Use mathematical software (modelling/programming language) to solve the problems using operational research techniques.
4. Develop a report that describes the model and the solving technique, analyse the results and propose recommendations in language understandable to the decision-making processes from the totality of stakeholders.
General Competences
- Apply knowledge in practice
- Retrieve, analyse and synthesise data and information, with the use of necessary technologies
- Make decisions
- Work autonomously
- Work in teams
- Work in an interdisciplinary team
- Generate new research ideas
- Advance free, creative and causative thinking
Course Content (Syllabus)
Theory and Methods of Linear Programming (Simplex, Graphical Interpretation, Duality Theory, Polynomial Methods, Special Cases). Karush‐Kuhn‐Tucker Condition. Integer Programming: Formulation and Methods. Fundamental Algorithms for Combinatorial Optimization Problems (Network Flows, Matchings, Special Problems in Graphs). Stochastic Methods. Dynamic Programming: Formulation and Methods. Fundamentals of Nonlinear Programming. Applications of Operational Research Methods in Various Fields.
Keywords
Mathematical Programming, Stochastic Processes, Queuing Theory, Optimization.
Educational Material Types
- Notes
- Slide presentations
- Book
Use of Information and Communication Technologies
Use of ICT
- Use of ICT in Course Teaching
- Use of ICT in Communication with Students
- Use of ICT in Student Assessment
Description
1. Written Examination.
2. Project (formulation and solution of a large-scale problem using modelling/programming language).
3. Group Presentation (application of operational research techniques in real-world problems as described in the relevant bibliography).
Course Organization
| Activities | Workload | ECTS | Individual | Teamwork | Erasmus |
|---|---|---|---|---|---|
| Lectures | 119 | ||||
| Written assigments | |||||
| Exams | 21 | ||||
| Total | 140 |
Student Assessment
Description
1. Written Examination.
2. Project (formulation and solution of a large-scale problem using modelling/programming language).
3. Group Presentation (application of operational research techniques in real-world problems as described in the relevant bibliography).
Student Assessment methods
- Written Assignment (Formative, Summative)
- Performance / Staging (Formative, Summative)
- Written Exam with Problem Solving (Formative, Summative)
Bibliography
Course Bibliography (Eudoxus)
Εισαγωγή στην Επιχειρησιακή Έρευνα. H. Taha.
Εισαγωγή στην Επιχειρησιακή Έρευνα, Ιωάννης Κολέτσος, Δημήτρης Στογιάννης.
Εισαγωγή στην Επιχειρησιακή Έρευνα, Hillier Frederick S., Lieberman Gerald J., (Αλέξανδρος Διαμαντίδης (επιμέλεια)).
Επιχειρησιακή Έρευνα, Παντελής Υψηλάντης.
Additional bibliography for study
Στοχαστικές μέθοδοι στις επιχειρησιακές έρευνες, Παναγιώτης - Χρήστος Βασιλείου.
Last Update
07-12-2020
