SEN5550 Business IntelligenceBahçeşehir UniversityDegree Programs CYBER SECURITY (ENGLISH, NONTHESIS)General Information For StudentsDiploma SupplementErasmus Policy StatementNational QualificationsBologna Commission
CYBER SECURITY (ENGLISH, NONTHESIS)
Master TR-NQF-HE: Level 7 QF-EHEA: Second Cycle EQF-LLL: Level 7

Course Introduction and Application Information

Course Code Course Name Semester Theoretical Practical Credit ECTS
SEN5550 Business Intelligence Fall 3 0 3 8
This catalog is for information purposes. Course status is determined by the relevant department at the beginning of semester.

Basic information

Language of instruction: English
Type of course: Departmental Elective
Course Level:
Mode of Delivery: Face to face
Course Coordinator : Prof. Dr. ADEM KARAHOCA
Course Lecturer(s): Prof. Dr. ADEM KARAHOCA
Recommended Optional Program Components: None
Course Objectives: Participants will describe the usage based on business intelligence, data mining, business intelligence methods will contribute, open-source and commercial develop business intelligence solutions, and application will be introduced.

Learning Outcomes

The students who have succeeded in this course;
1. Explain the concept of Business Intelligence
2. Increase dominance reporting tools
3. Describe the contributions of Data mining
4. Define how to use basic ETL tools.

Course Content

The content of this course is composed of introduction to business intelligence, database management systems, data warehouse models and architectures, data mining, preprocessing, driven methodology, guided algorithms and non-guided algorithms.

Weekly Detailed Course Contents

Week Subject Related Preparation
1) Introduction to Business Intelligence
2) Database management systems – 1
3) Database management systems – 2
4) The data warehouse models and architectures - the application
5) Data warehouses Datamarts
6) Data Mining - 0 (preprocessing)
7) Data Mining - 0 (preprocessing) / Midterm
8) Data Mining - 1 (driven methodology and algorithms)
9) Data Mining - 2 (Guided algorithms continued)
10) Data Mining - 3 (non-guided algorithms)
11) Project Presentations – 1
12) Project Presentations – 2
13) Project Presentations – 3
14) Overall assessment and closing

Sources

Course Notes / Textbooks: Business Intelligence: Making Better Decisions Faster by Elizabeth Vitt, Michael Luckevich, Stacia Misner (2002)
References: Yok

Evaluation System

Semester Requirements Number of Activities Level of Contribution
Attendance 14 % 5
Homework Assignments 2 % 10
Project 1 % 20
Midterms 1 % 25
Final 1 % 40
Total % 100
PERCENTAGE OF SEMESTER WORK % 40
PERCENTAGE OF FINAL WORK % 60
Total % 100

ECTS / Workload Table

Activities Number of Activities Duration (Hours) Workload
Course Hours 14 3 42
Application 14 3 42
Study Hours Out of Class 14 3 42
Midterms 1 22 22
Final 1 41 41
Total Workload 189

Contribution of Learning Outcomes to Programme Outcomes

No Effect 1 Lowest 2 Low 3 Average 4 High 5 Highest
           
Program Outcomes Level of Contribution
1) Being able to develop and deepen their knowledge at the level of expertise in the same or a different field, based on undergraduate level qualifications. 4
1) Being able to independently carry out a work that requires expertise in the field. 4
1) To be able to supervise and teach these values by observing social, scientific, cultural and ethical values in the stages of collecting, interpreting, applying and announcing the data related to the field. 4
1) To be able to critically evaluate the knowledge and skills acquired in the field of expertise and to direct their learning. 4
1) To be able to interpret and create new knowledge by integrating the knowledge gained in the field with the knowledge from different disciplines, 4
1) To be able to systematically transfer current developments in the field and their own studies to groups in and outside the field, in written, verbal and visual forms, by supporting them with quantitative and qualitative data. 4
2) To be able to comprehend the interdisciplinary interaction with which the field is related. 5
2) To be able to use the theoretical and applied knowledge at the level of expertise acquired in the field. 5
2) To be able to critically examine social relations and the norms that guide these relations, to develop them and take action to change them when necessary. 5
2) To be able to develop strategy, policy and implementation plans in the fields related to the field and to evaluate the obtained results within the framework of quality processes. 4
2) To be able to develop new strategic approaches for the solution of complex and unpredictable problems encountered in applications related to the field and to produce solutions by taking responsibility. 5
3) To be able to use the knowledge, problem solving and/or application skills they have internalized in their field in interdisciplinary studies. 5
3) Being able to lead in environments that require the resolution of problems related to the field. 4
3) To be able to solve the problems encountered in the field by using research methods. 5