BAC332 Management Science II

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

Information

Unit KOZAN FACULTY OF BUSINESS MANAGEMENT
BUSINESS ADMINISTRATION PR.
Code BAC332
Name Management Science II
Term 2021-2022 Academic Year
Semester 6. Semester
Duration (T+A) 3-0 (T-A) (17 Week)
ECTS 4 ECTS
National Credit 3 National Credit
Teaching Language Türkçe
Level Belirsiz
Type Normal
Label E Elective
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Birsen İrem SELAMOĞLU
Course Instructor
The current term course schedule has not been prepared yet.


Course Goal / Objective

To teach theory and solution procedure of Networks Models, Inventory Models and Queuing Models in Operations Research and to find the politics and activities of management as scientific

Course Content

Network Models; Minimal Spanning-tree Algorithm; Shortest- Route Problem and Algorithms; Maximal Flow Algorithm; Minimal cost-capacity Flow Problem and Algorithm; CPM-PERT; Deterministic Stock Models; Queuing Theory and Queuing Models

Course Precondition

Resources

Notes



Course Learning Outcomes

Order Course Learning Outcomes
LO01 Student gains knowledge on optimisation concept
LO02 Student will be able to model the real life problems
LO03 Student will be able to model inventory, network and queuing models.


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 - List and define the concepts of business management, and explain their relations to each other 4
PLO02 - List and define the fundamental conceptual models, numerical and statistical techniques of business administartion and identify their advantages and disadvantages. 2
PLO03 - List and define the relationship between the basic concepts of economy and business management ; indicate the strong and weak sides of each method. 4
PLO04 - Explain how to create the fundamental conceptual models and how to apply numerical and statistical techniques that are used in business administration. 2
PLO05 - Explain how to interpret the results gathered through the application and/or implementation of conceptual models and/or numerical and statistical methods of business management. 4
PLO06 - Determine appropriate methods to solve business problems 5
PLO07 - Evaluate the results that are obtained from applications of business management methods 5
PLO08 - Use the basic numerical and statistical softwares 4
PLO09 - Use the basic enterprise resource planning (ERP) softwares 3
PLO10 - Take initiative individually or/and as a member of a team, lead and work effectively 3
PLO11 - As well as professional development, improve him-/herself continuously in scientific, social, cultural and artistic fields according to his/her interests and abilities, identifying needs of learning. 3
PLO12 - Follow latest developments in the field, and sustain personal and professional development with the awareness of the necessity of life long learning 3
PLO13 - Use different resources in accordance with academic principles, synthesize the data gathered, and present them effectively in an unfamiliar field. 2
PLO14 - Use Turkish and at least one foreign language in accordance with the requirements in academic and business context 4
PLO15 - Perceive and interpret the feelings, ideas and behaviours of people appropriately, and express himself/herself accurately in written or oral format 2
PLO16 - Question traditional approaches, methods and implementations; develop and implement alternative methods when required 3
PLO17 - Recognize and apply social, scientific and professional ethical values. 2
PLO18 - Determine the most appropriate approaches, implementations and methods of business management considering sectors, their sizes, resources, cultures, goals and objectives 3
PLO19 - Monitor external factors such as industrial structures, competition, technologies, economics, politics, cultures that affects the activities of businesses and interpret their impact on businesses 2


Week Plan

Week Topic Preparation Methods
1 Integer programming Lecture Notes Ch 1
2 Integer programming Lecture Notes Ch 2
3 Network models Lecture Notes Ch 3
4 Network models Lecture Notes Ch 4
5 Network models Lecture Notes Ch 5
6 CPM / PERT Lecture Notes Ch 6
7 CPM / PERT Lecture Notes Ch 7
8 Mid-Term Exam -
9 Inventory models Lecture Notes Ch 9
10 Inventory models Lecture Notes Ch 10
11 Inventory models / Special cases Lecture Notes Ch 11
12 Inventory models / Special cases Lecture Notes Ch 12
13 Queuing Models Lecture Notes Ch 13
14 Queuing Models Lecture Notes Ch 14
15 Queuing Models Lecture Notes Ch 15
16 Term Exams -
17 Term Exams -

Update Time: 20.05.2021 11:05