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COURSE INFORMATION
Course CodeCourse TitleL+P HourSemesterECTS
IENG 340INTRODUCTION TO BUSINESS INTELLIGENCE3 + 06th Semester5

COURSE DESCRIPTION
Course Level Bachelor's Degree
Course Type Elective
Course Objective The aim of this course is to ensure that the business intelligence concepts, and the principles of these concepts in terms of businesses, and creating the theoretical infrastructure on these issues with the help of the softwares.
Course Content In the course, an introduction in the field of business intelligence will be performed and information on the technological infrastructure (data concept and data warehouses) will be provided. In the next part of the course, normative business intelligence approaches and visual analytical issues will be referred to. Applications in these issues will be carried out with related softwares.
Prerequisites No the prerequisite of lesson.
Corequisite No the corequisite of lesson.
Mode of Delivery Face to Face

COURSE LEARNING OUTCOMES
1To learn business intelligence concepts and system development and implementation process
2To acquire skills related to datawarehouse and OLAP
3To understand the relationship between business performance management and business intelligence

COURSE'S CONTRIBUTION TO PROGRAM
PO 01PO 02PO 03PO 04PO 05PO 06PO 07PO 08PO 09PO 10PO 11PO 12PO 13
LO 001             
LO 002             
LO 003             
Sub Total             
Contribution0000000000000

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION
ActivitiesQuantityDuration (Hour)Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)14342
Assignments4624
Mid-terms11010
Final examination11414
Presentation / Seminar Preparation11414
Report / Project12626
Total Work Load

ECTS Credit of the Course






130

5
COURSE DETAILS
 Select Year   


 Course TermNoInstructors
Details 2023-2024 Spring1OLCAY POLAT


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Course Details
Course Code Course Title L+P Hour Course Code Language Of Instruction Course Semester
IENG 340 INTRODUCTION TO BUSINESS INTELLIGENCE 3 + 0 1 Turkish 2023-2024 Spring
Course Coordinator  E-Mail  Phone Number  Course Location Attendance
Prof. Dr. OLCAY POLAT opolat@pau.edu.tr İİBF B0213 İİBF C0013 %70
Goals The aim of this course is to ensure that the business intelligence concepts, and the principles of these concepts in terms of businesses, and creating the theoretical infrastructure on these issues with the help of the softwares.
Content In the course, an introduction in the field of business intelligence will be performed and information on the technological infrastructure (data concept and data warehouses) will be provided. In the next part of the course, normative business intelligence approaches and visual analytical issues will be referred to. Applications in these issues will be carried out with related softwares.
Topics
WeeksTopics
1 Introduction to Data Analytics
2 Fundementals of Data Analytics
3 Fundementals of Data Analytics
4 Data Analytics Methods
5 Data Analytics Methods
6 Data Visulation
7 Data Visulation
8 Mid-term exam
9 KPI Dashboard reporting
10 KPI Dashboard reporting
11 Enterprise Performance Management
12 Business Intelligence Practices
13 Business Intelligence Practices
14 Project presentations
Materials
Materials are not specified.
Resources
Course Assessment
Assesment MethodsPercentage (%)Assesment Methods Title
Final Exam50Final Exam
Midterm Exam30Midterm Exam
Project20Project
L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes