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Information
| Unit | INSTITUTE OF SOCIAL SCIENCES |
| ECONOMETRICS (MASTER) (WITH THESIS) | |
| Code | IEM757 |
| Name | Advanced Linear Programming |
| Term | 2018-2019 Academic Year |
| Term | Spring |
| Duration (T+A) | 3-0 (T-A) (17 Week) |
| ECTS | 6 ECTS |
| National Credit | 3 National Credit |
| Teaching Language | Türkçe |
| Level | Yüksek Lisans Dersi |
| Type | Normal |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | Doç. Dr. SEMİN TOPALOĞLU PAKSOY |
| Course Instructor |
The current term course schedule has not been prepared yet.
|
Course Goal / Objective
The aim of the course is to investigate the linear programming in detail and to enable the students to specialize in this issue. The course explains the further linear programming methods which are not mentioned at the undergraduate level and aims to increase the level of knowledge of the student. Students can learn to use powerful and robust analytical methodology that supports the solution to many real-world business problems and fact-based decision making.
Course Content
The course covers linear prolems in matrix form and their solutions, rapid and advanced linear programming solution techniques, parametric linear problems and the effects of the changes in the parameters, karmarkar interior point algorithm and goal programming
Course Precondition
Resources
Notes
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | To gain the ability to apply LP methods |
| LO02 | To learn the solution of large LP problems with fast and efficient algorithms. |
| LO03 | To gain the ability to obtain the optimum solution of LP problems including numerous and contradictory purposes. |
| LO04 | In solving the LP problems, to gain the ability to use the computer. |
Relation with Program Learning Outcome
| Order | Type | Program Learning Outcomes | Level |
|---|---|---|---|
| PLO01 | Bilgi - Kuramsal, Olgusal | Explains contemporary concepts about Econometrics, Statistics, and Operation Research | 4 |
| PLO02 | Bilgi - Kuramsal, Olgusal | Explains relationships between acquired knowledge about Econometrics, Statistics, and Operation Research | 3 |
| PLO03 | Bilgi - Kuramsal, Olgusal | Explains how to apply acquired knowledge in the field to Economics, Business, and other social sciences | |
| PLO04 | Beceriler - Bilişsel, Uygulamalı | Performs conceptual analysis to develop solutions to problems | 4 |
| PLO05 | Beceriler - Bilişsel, Uygulamalı | Models problems with Mathematics, Statistics, and Econometrics | 4 |
| PLO06 | Beceriler - Bilişsel, Uygulamalı | Interprets the results obtained from the most appropriate method to predict the model | 5 |
| PLO07 | Beceriler - Bilişsel, Uygulamalı | Synthesizes the information obtained by using different sources within the framework of academic rules in a field of research | 3 |
| PLO08 | Beceriler - Bilişsel, Uygulamalı | Uses acquired knowledge in the field to determine the vision, aim, and goals for an organization/institution | 4 |
| PLO09 | Beceriler - Bilişsel, Uygulamalı | Searches for new approaches and methods to solve problems being faced | |
| PLO10 | Beceriler - Bilişsel, Uygulamalı | Presents analysis results conveniently | 5 |
| PLO11 | Beceriler - Bilişsel, Uygulamalı | Collects/analyzes data in a purposeful way | 5 |
| PLO12 | Yetkinlikler - İletişim ve Sosyal Yetkinlik | Converts its findings into a master's thesis or a professional report in Turkish or a foreign language | 3 |
| PLO13 | Beceriler - Bilişsel, Uygulamalı | Develops solutions for organizations using Econometrics, Statistics, and Operation Research | 3 |
| PLO14 | Beceriler - Bilişsel, Uygulamalı | Uses a package program/writes a new code for Econometrics, Statistics, and Operation Research | 4 |
| PLO15 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Performs an individual work to solve a problem with Econometrics, Statistics, and Operation Research | 4 |
| PLO16 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Leads by taking responsibility individually and/or within the team | 3 |
| PLO17 | Yetkinlikler - Öğrenme Yetkinliği | Being aware of the necessity of lifelong learning, it constantly renews itself by following the current developments in the field of study | |
| PLO18 | Yetkinlikler - İletişim ve Sosyal Yetkinlik | Interprets the feelings, thoughts and behaviors of the related persons correctly/expresses himself/herself correctly in written and verbal form | |
| PLO19 | Yetkinlikler - Alana Özgü Yetkinlik | Interprets data on economic and social events by following current issues | |
| PLO20 | Yetkinlikler - Alana Özgü Yetkinlik | Applies social, scientific and professional ethical values |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Simplex method for lineer programing | Reading relevant parts in the source books according to the weekly program | |
| 2 | Standard LP model in matrix form, basic solutions and basics | Reading relevant parts in the source books according to the weekly program | |
| 3 | Sensitivity analysis | Reading relevant parts in the source books according to the weekly program | |
| 4 | Parametric linear programming | Reading relevant parts in the source books according to the weekly program | |
| 5 | Parametric linear programming | Reading relevant parts in the source books according to the weekly program | |
| 6 | Revised simplex tableau | Reading relevant parts in the source books according to the weekly program | |
| 7 | Revised simplex tableau | Reading relevant parts in the source books according to the weekly program | |
| 8 | Mid-Term Exam | ||
| 9 | Bounded variables primal simplex method | Reading relevant parts in the source books according to the weekly program | |
| 10 | Dual problems in matrix form and their optimum solutions | Reading relevant parts in the source books according to the weekly program | |
| 11 | Goal programming | Reading relevant parts in the source books according to the weekly program | |
| 12 | Multiobjective optimization | Reading relevant parts in the source books according to the weekly program | |
| 13 | Applications of multiobjective optimization and an application on computer | Reading relevant parts in the source books according to the weekly program | |
| 14 | Karmarkar interior point algorithm | Reading relevant parts in the source books according to the weekly program | |
| 15 | Karmarkar interior point algorithm | Reading relevant parts in the source books according to the weekly program | |
| 16 | Term Exams | ||
| 17 | Term Exams |
Student Workload - ECTS
| Works | Number | Time (Hour) | Workload (Hour) |
|---|---|---|---|
| Course Related Works | |||
| Class Time (Exam weeks are excluded) | 14 | 3 | 42 |
| Out of Class Study (Preliminary Work, Practice) | 14 | 5 | 70 |
| Assesment Related Works | |||
| Homeworks, Projects, Others | 0 | 0 | 0 |
| Mid-term Exams (Written, Oral, etc.) | 1 | 15 | 15 |
| Final Exam | 1 | 30 | 30 |
| Total Workload (Hour) | 157 | ||
| Total Workload / 25 (h) | 6,28 | ||
| ECTS | 6 ECTS | ||