EM565 Integer and Goal Programming

6 ECTS - 3-0 Duration (T+A)- 1. Semester- 3 National Credit

Information

Unit INSTITUTE OF NATURAL AND APPLIED SCIENCES
INDUSTRIAL ENGINEERING (MASTER) (WITH THESIS)
Code EM565
Name Integer and Goal Programming
Term 2018-2019 Academic Year
Term Fall
Duration (T+A) 3-0 (T-A) (17 Week)
ECTS 6 ECTS
National Credit 3 National Credit
Teaching Language İngilizce
Level Belirsiz
Type Normal
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Doç. Dr. EBRU YILMAZ
Course Instructor
The current term course schedule has not been prepared yet.


Course Goal / Objective

The purpose of this course is to study integer and goal programming approaches and solution techniques related to various problems.

Course Content

Introduction to integer programming, formulating integer programming problems, knapsack problems, assignment problems, solving integer programming models, branch-and-bound algorithm, heuristic and meta heuristic solution approaches, goal programming types, formulating goal programming problems, solving goal programming models.

Course Precondition

Resources

Notes



Course Learning Outcomes

Order Course Learning Outcomes
LO01 Explains appropriate analytical and mathematical modeling techniques for industrial engineering subjects at the graduate level.
LO02 Formulates advanced linear programming problems seen in a service or manufacturing system.
LO03 Solves linear programming models seen in a service or manufacturing system using appropriate solution methods.
LO04 Formulates advanced integer programming problems seen in a service or manufacturing system.
LO05 Solves integer programming models seen in a service or manufacturing system using appropriate solution methods.
LO06 Uses branch and bound algorithm to solve integer programming models.
LO07 Formulates advanced goal programming problems seen in a service or manufacturing system.


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 - Understands, interprets and applies knowledge in his/her field domain both in-depth and in-breadth by doing scientific research in industrial engineering.
PLO02 - Acquires comprehensive knowledge about methods and tools of industrial engineering and their limitations.
PLO03 - Designs and performs analytical modeling and experimental research and analyze/solves complex matters emerged in this process.
PLO04 - Completes and applies the knowledge by using scarce and limited resources in a scientific way and integrates the knowledge into various disciplines.
PLO05 - Keeps up with the recent changes and applications in the field of Industrial Engineering and examines and learns these innovations when necessary.
PLO06 - Has the ability to propose new and/or original ideas and methods, develops innovative solutions for designing systems, components or processes.
PLO07 - Designs Industrial Engineering problems, develops innovative methods to solve the problems and applies them.
PLO08 - Works in multi-disciplinary teams and takes a leading role and responsibility.
PLO09 - Identifies, gathers and uses necessary information and data.
PLO10 - Follows, studies and learns new and developing applications of industrial engineering.
PLO11 - Uses a foreign language in verbal and written communication at least B2 level of European Language Portfolio.
PLO12 - Presents his/her research findings systematically and clearly in oral and written forms in national and international platforms.
PLO13 - Understands social and environmental implications of engineering practice.
PLO14 - Considers social, scientific and ethical values in the process of data collection, interpretation and announcement of the findings.
PLO15 - Works in multi-disciplinary teams, take a leading role and responsibility and develop solutions for complex problems.


Week Plan

Week Topic Preparation Methods
1 Introduction to integer programming Reading the resources related to the section
2 Formulating integer programming problems Reading the resources related to the section
3 Formulating integer programming problems Reading the resources related to the section
4 Knapsack problems Reading the resources related to the section
5 Assignment problems Reading the resources related to the section
6 Solving integer programming models Reading the resources related to the section
7 Branch-and-bound algorithm Reading the resources related to the section
8 Mid-Term Exam The preparation for the mid-term exam
9 Heuristic and meta heuristic solution approaches Reading the resources related to the section
10 Goal programming types Reading the resources related to the section
11 Formulating goal programming problems Reading the resources related to the section
12 Formulating goal programming problems Reading the resources related to the section
13 Solving goal programming models Reading the resources related to the section
14 Solving goal programming models Reading the resources related to the section
15 Project presentations The preparation for the project presentation
16 Term Exams The preparation for the term exam
17 Term Exams The preparation for the term exam

Update Time: 20.01.2019 12:23