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COURSE UNIT TITLECOURSE UNIT CODESEMESTERTHEORY + PRACTICE (Hour)ECTS
DECISION SUPPORT SYSTEMS END536 - 3 + 0 10

TYPE OF COURSE UNITElective Course
LEVEL OF COURSE UNITMaster's Degree With Thesis
YEAR OF STUDY-
SEMESTER-
NUMBER OF ECTS CREDITS ALLOCATED10
NAME OF LECTURER(S)Associate Professor Barış Keçeci
LEARNING OUTCOMES OF THE COURSE UNIT At the end of this course, the students;
1) Gain an ability to select and practice the appropriate methods and technologies on decision problems
2) Gain an ability to design a decision support system and its components professionally to meet the requirements
3) Determine, formulate and solve the semi structured decision problems systematically.
4) Use the qualitative and quantitative methods within decision support systems
5) Gain an ability to transform technologies into engineering solutions.
MODE OF DELIVERYFace to face
PRE-REQUISITES OF THE COURSENo
RECOMMENDED OPTIONAL PROGRAMME COMPONENTNone
COURSE DEFINITION
COURSE CONTENTS
WEEKTOPICS
1st Week Introduction to DSS and business intelligence
2nd Week Intro to DSS development in Excel and VBA
3rd Week Excel object model and VBE
4th Week Macros and VBA
5th Week Range objects
6th Week Control logic and loops
7th Week Other Excel objects
8th Week Midterm
9th Week Arrays, variables and subroutines
10th Week User forms and error handling
11th Week Working with Files and folders
12th Week Importing data into Excel
13th Week Working with pivot tables
14th Week Menus and toolbars,Data mining in Excel
RECOMENDED OR REQUIRED READING(1) Christian Albright. VBA for Modelers: Developing Decision Support Systems with Microsoft Office Excel 4'ncü baskı (2011).
(2) Turban and Aronson. Decision Support Systems and Business Intelligence Systems. Prentice-Hall Publishing Co. Eight Edition.
PLANNED LEARNING ACTIVITIES AND TEACHING METHODSPractice,Lecture,Questions/Answers,Problem Solving
ASSESSMENT METHODS AND CRITERIA
 QuantityPercentage(%)
Mid-term130
Project130
Total(%)60
Contribution of In-term Studies to Overall Grade(%)60
Contribution of Final Examination to Overall Grade(%)40
Total(%)100
ECTS WORKLOAD
Activities Number Hours Workload
Midterm exam122
Preparation for Quiz
Individual or group work1414196
Preparation for Final exam12525
Course hours14342
Preparation for Midterm exam12525
Laboratory (including preparation)
Final exam122
Homework11414
Total Workload306
Total Workload / 3010,2
ECTS Credits of the Course10
LANGUAGE OF INSTRUCTIONTurkish
WORK PLACEMENT(S)No
  

KEY LEARNING OUTCOMES (KLO) / MATRIX OF LEARNING OUTCOMES (LO)
LO1LO2LO3LO4LO5
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K2  X   X   X   X  
K3    X   X   X  
K4  X   X     X   X
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K11