Course Details

USE OF BUSINESS INTELLIGENCE 

BA458

Course Information
SemesterCourse Unit CodeCourse Unit TitleT+P+LCreditNumber of ECTS Credits
7BA458USE OF BUSINESS INTELLIGENCE 3+0+035

Course Details
Language of Instruction English
Level of Course Unit Bachelor's Degree
Department / Program BUSINESS ADMINISTRATION
Type of Program Formal Education
Type of Course Unit Elective
Course Delivery Method Face To Face
Objectives of the Course This course aims to
• endow fundamental terminologies in Business Intelligence, Analytics and
Data Science.
• Introduce Descriptive Analytics, Predictive Analytics, and Prescriptive
Analyticsand critical thinking ability to improve organization capability.
Course Content This course introduces data-oriented techniques for business intelligence. Business Intelligence architecture, Big Data, Business Analytics, and Enterprise Reporting are topics covered. In order to access and present data, form reports, conduct analysis SAP Business Information Warehouse, Business Objects, or similar tools are be utilized.
Course Methods and Techniques
Prerequisites and co-requisities ( BA303 )
Course Coordinator Associate Prof.Dr. Fatma Selen Madenoğlu selen.madenoglu@agu.edu.tr
Name of Lecturers None
Assistants None
Work Placement(s) No

Recommended or Required Reading
Resources


Planned Learning Activities and Teaching Methods
Activities are given in detail in the section of "Assessment Methods and Criteria" and "Workload Calculation"

Assessment Methods and Criteria
In-Term Studies Quantity Percentage
Quiz/Küçük Sınav 1 % 100
Total
1
% 100

 
ECTS Allocated Based on Student Workload
Activities Quantity Duration Total Work Load
Ev Ödevi 4 23 92
Sınıf İçi Aktivitesi 14 1 14
Yüz Yüze Ders 14 3 42
Total Work Load   Number of ECTS Credits 5 148

Course Learning Outcomes: Upon the successful completion of this course, students will be able to:
NoLearning Outcomes
1 Grasp the terminology of Business Intelligence and Data Analytics. LO2. Carry out business analysis.
2 Compose multi-dimensional data analysis.
3 Perform common analytical reporting functions available in an ERP system


Weekly Detailed Course Contents
WeekTopicsStudy MaterialsMaterials
1 An Overview of Business Intelligence, Analytics and Data Science
2 An Overview of Business Intelligence, Analytics and Data Science
3 Descriptive Analytics
4 SAP SA
5 SAP SAP
6 SAP
7 SAP
9 SAP
10 Predictive Analytics
11 Predictive Analytics
12 Prescriptive Analytics
13 Data Mining Process. Method and Algorithm
14 Data Mining Process. Method and Algorithm
15 Big Data and Analytics


Contribution of Learning Outcomes to Programme Outcomes
P1 P2 P3 P4 P5 P6 P7 P8 P9 P10
C1 5 5 5 5
C2 5 5 5 3 5
C3 5 5 3 2 2 3 5

Contribution: 1: Very Slight 2:Slight 3:Moderate 4:Significant 5:Very Significant


https://sis.agu.edu.tr/oibs/bologna/progCourseDetails.aspx?curCourse=71948&lang=en