Course Name Code Semester T+U Hours Credit ECTS
Business Intelligence and Applications ENF 506 0 3 + 0 3 6
Precondition Courses
Recommended Optional Courses
Course Language Turkish
Course Level yuksek_lisans
Course Type Optional
Course Coordinator Dr.Öğr.Üyesi ALPASLAN KİBAR
Course Lecturers
Course Assistants
Course Category
Course Objective To provide students sufficient knowledge regarding business intelligence and its fundamentals and to make them comprehend business intelligence technologies and their business applications.
Course Content Business Intelligence Fundamentals, Datawarehoues and OLAP, Data Mining, Text and Web Mining, Business Intelligence Applications
# Course Learning Outcomes Teaching Methods Assessment Methods
Week Course Topics Preliminary Preparation
1 Introduction to business intelligence
2 Business intelligence and decision support systems/intelligent systems
3 Datawarehouses and data marts
4 Visualisation and reporting and OLAP
5 Data mining 1
6 Data mining 2
7 Text mining
8 Web mining
9 Business performance management
10 Business intelligence system development and implementation
11 Business intelligence applications 1 (marketing and sales)
12 Business intelligence applications 2 (Production operations and logistics)
13 Business intelligence applications 3 (Accounting and finance)
14 Business intelligence applications 4 (Medical and health)
Resources
Course Notes
Course Resources
Order Program Outcomes Level of Contribution
1 2 3 4 5
1 X
2 X
3 X
4 X
5 X
6 X
7 X
8 X
9 X
Evaluation System
Semester Studies Contribution Rate
1. Ara Sınav 30
1. Ödev 50
1. Performans Görevi (Uygulama) 20
Total 100
1. Yıl İçinin Başarıya 40
1. Final 60
Total 100
ECTS - Workload Activity Quantity Time (Hours) Total Workload (Hours)
Course Duration (Including the exam week: 16x Total course hours) 16 3 48
Hours for off-the-classroom study (Pre-study, practice) 16 2 32
Mid-terms 1 15 15
Assignment 1 30 30
Performance Task (Seminar) 1 15 15
Total Workload 140
Total Workload / 25 (Hours) 5.6
dersAKTSKredisi 6