DESCRIPTION OF COURSE UNIT


1.

Code

Course unit title

Title of the degree programme

LLL17B000586

Modeling of Decision Making

Elective subject


2.

Name of lecturer(s)

Departament(s)

Coordinator: Ingrida Bartkutė

a. o: Aurimas Tumėnas

Institute of Management


3.

Cycle of course unit

Level of course unit

Type of course unit

I

Not applicable

Optional


4.

Mode of delivery

Year of study and semester when the course unit is delivered

Language of instruction

Face-to-face

1 semester

English


5.

Study requirements

Prerequisites:

Co-requisites:

Work placement(s):

Basic knowledge of management

Not applicable

Not applicable


7.

Number of ECTS credits allocated

Student's workload

Contact work hours and planned learning activities

Independent work hours

6

162

50

112


8.

Purpose of the course unit

The objective of the course is to deepen theoretical knowledge about problem taxonomy by highlighting decision making problems alignment with the models of decision making process and proper decision making methods. Students develop the following abilities: decision problem analysis, selection and practical application an appropriate decision making method, usage of the set of methods as decision methodology.

Learning outcomes of the course unit

Teaching and learning methods

Assessment methods

Have knowledge about attributes of the problems, able to analyze the situation in terms of decision making

Lecture, learning in cooperation.

Integrated test: to test theoretical knowledge.

Have abilities to make managerial decision in frame of different type of constrains, for instance the distribution of lack resources

Lecture, individual and group tasks, discussion, critical thinking, problem solving.

Test of practical situation modelling

Have knowledge about the methods of decision making, making emphasis on the advantages and constrains of the particular methods, have abilities to chose the proper methods in align with the typology of the problem

Lecture, individual and group tasks, discussion, critical thinking, problem solving

Project

Have abilities to gathering the appropriate information and data needed for the decision making, know how to deal with this data, be familiar with the procedure of every single method and be able to produce methodologies for seeking evidence based decision. Have abilities to apply methodologies for decision making and interpret the results

Lecture, learning in cooperation. Individual and group work.

Project, Public speech, Presentation

Have abilities to use decision support systems (application of computational decision making instruments)

Lecture, learning in cooperation. Individual and group work.

Project, Public speech, Final test


9.

Course contens

Topics

Contact work hours and planned learning activities

Independent work hours and tasks

Tasks

1. The context of decision making.

1

1

2

2

Literature analysis

2.Problem taxonomy, decision making alignment and models of decision making process. Decision making actors.

1

2

3

8

Literature analysis

3.Classification of decision making methods.

1

1

2

8

Literature analysis

4. The first order problem solving: linear programming (operational research, objective function, constrains, graphical analysis, transportation).

2

4

6

10

Literature analysis, practical problems solving

5. The first order problem solving: linear programming.

2

2

4

10

Literature analysis, practical problems solving

6. The first order problem solving: project management-network diagrams.

1

4

5

10

Literature analysis, practical problems solving

7. The second order problem solving: game theory.

2

4

6

10

Literature analysis, practical problems solving

8. The second order problem solving: decision trees.

1

4

5

10

Literature analysis, practical problems solving

9. The third order problem solving: creative methods.

1

2

3

10

Literature analysis, practical problems solving

10. The third order problems: multi-criteria analysis.

1

2

3

10

Literature analysis, practical problems solving

11. The third order problem solving: estimation methods.

1

2

3

10

Literature analysis, practical problems solving

12. The third order problem solving: long term future oriented methods.

1

2

3

10

Literature analysis, practical problems solving

13. Decision making methodologies.

1

2

3

4

Literature analysis

Assessment

2

2

Exam

Overall

16

32

2

50

 

112

 


10.

Assessment strategy

Weighting percentage

Period or date of assessment

Assessment criteria

Written paper (Abstract)

20

At the end of the course

Innovative idea, presentation quality, matching the funding scheme

Control work

20

The middle of the course

Argumentation, based on scientific knowledge

Examination

60

At the end of the course