1. SECOND CYCLE - MASTER'S DEGREE
  2. THE GRADUATE SCHOOL OF SOCIAL SCIENCES
  3. MANAGEMENT INFORMATION SYSTEMS DEPARTMENT
  4. 2315 MANAGEMENT INFORMATION SYSTEMS
Course Information Course Learning Outcomes Course's Contribution To Program ECTS Workload Course Details
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COURSE INFORMATION
Course CodeCourse TitleL+P HourSemesterECTS
YOBS 535BUSINESS INTELLIGENCE AND APPLICATIONS3 + 01st Semester7,5

COURSE DESCRIPTION
Course Level Master's Degree
Course Type Elective
Course Objective The aim of this course is to teach the process of the software that generally takes the raw data so that business decisions can be reported in a meaningful, which makes software that helps you to analyze.
Course Content This course includes some topics like; Introduction to Business Intelligence, Basics of Business Intelligence, Types of Business Intelligence, Data Architecture, Introduction to Data Mining, Data Mining Techniques, Data Warehouse, Data Warehouse Types, Information Management, Business Intelligence Cycle, Business Intelligence User Model, Problems and Difficulties in Business Intelligence, Business Intelligence Strategy and Roadmap, Business Intelligence Applications
Prerequisites No the prerequisite of lesson.
Corequisite No the corequisite of lesson.
Mode of Delivery Face to Face

COURSE LEARNING OUTCOMES
1To be able to define the concepts of data mining and business intelligence.
2To understand the importance of data mining and business intelligence, the decision support provided to today's businesses.
3To be able to establish a model compatible with the decision support needed.
4To be able to choose the appropriate algorithm for the established decision model and apply it in line with the targeted decision process.
5To be able to interpret the information obtained with applications in terms of decision process and to discover the necessary information.

COURSE'S CONTRIBUTION TO PROGRAM
PO 01PO 02PO 03PO 04PO 05PO 06PO 07PO 08PO 09PO 10PO 11PO 12
LO 001            
LO 002            
LO 003            
LO 004            
LO 005            
Sub Total            
Contribution000000000000

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION
ActivitiesQuantityDuration (Hour)Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)14342
Hours for off-the-classroom study (Pre-study, practice)14342
Assignments24080
Mid-terms11313
Final examination11818
Total Work Load

ECTS Credit of the Course





195

7,5
COURSE DETAILS
 Select Year   


 Course TermNoInstructors
Details 2022-2023 Fall1LEYLA ÖZGÜR POLAT


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Course Details
Course Code Course Title L+P Hour Course Code Language Of Instruction Course Semester
YOBS 535 BUSINESS INTELLIGENCE AND APPLICATIONS 3 + 0 1 Turkish 2022-2023 Fall
Course Coordinator  E-Mail  Phone Number  Course Location Attendance
Asts. Prof. Dr. LEYLA ÖZGÜR POLAT lozgur@pau.edu.tr İİBF B0109 %
Goals The aim of this course is to teach the process of the software that generally takes the raw data so that business decisions can be reported in a meaningful, which makes software that helps you to analyze.
Content This course includes some topics like; Introduction to Business Intelligence, Basics of Business Intelligence, Types of Business Intelligence, Data Architecture, Introduction to Data Mining, Data Mining Techniques, Data Warehouse, Data Warehouse Types, Information Management, Business Intelligence Cycle, Business Intelligence User Model, Problems and Difficulties in Business Intelligence, Business Intelligence Strategy and Roadmap, Business Intelligence Applications
Topics
Materials
Materials are not specified.
Resources
Course Assessment
Assesment MethodsPercentage (%)Assesment Methods Title
Final Exam50Final Exam
Midterm Exam50Midterm Exam
L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes