Course Name Code Semester T+U Hours Credit ECTS
Datamining and Business Intelligence YBS 357 5 2 + 0 2 5
Precondition Courses
Recommended Optional Courses
Course Language Turkish
Course Level Bachelor's Degree
Course Type Optional
Course Coordinator Dr.Öğr.Üyesi HALİL İBRAHİM CEBECİ
Course Lecturers Dr.Öğr.Üyesi HALİL İBRAHİM CEBECİ,
Course Assistants
Course Category
Course Objective Ensuring the students to comprehend the disciplines related to business intelligence cocenptually and to learn the fundamental concepts and techniques of business intelligence as well as its business applications
Course Content
# Course Learning Outcomes Teaching Methods Assessment Methods
1 To learn business intelligence concepts and system development and implementation process Lecture, Question-Answer, Discussion, Testing, Homework,
2 To acquire skills related to datawarehouse, OLAP, and data mining Lecture, Question-Answer, Discussion, Testing, Homework,
3 To learn web and text mining tools Lecture, Question-Answer, Discussion, Testing, Homework,
4 To understand the relationship between business performance management and business intelligence Lecture, Question-Answer, Discussion, Testing, Homework,
Week Course Topics Preliminary Preparation
1 Introduction to Business Intelligence Review of the related chapters of the lecture.
2 Business Intelligence and Decision Support Systems Review of the related chapters of the lecture.
3 Datawarehouse and Datamart Review of the related chapters of the lecture.
4 Visualization, Reporting and OLAP Review of the related chapters of the lecture.
5 Data Mining 1 (Fundamentals and data mining process) Review of the related chapters of the lecture.
6 Data Mining 2 (Statistics-based data mining techniques) Review of the related chapters of the lecture.
7 Data Mining 3 (Machine learning-based data mining techniques) Review of the related chapters of the lecture.
8 MID TERM EXAM
9 Data Mining 4 (Artificial intelligence-based data mining techniques) Review of the related chapters of the lecture.
10 Text Mining Review of the related chapters of the lecture.
11 Web Mining Review of the related chapters of the lecture.
12 Business Performance Management Review of the related chapters of the lecture.
13 Business Intelligence Systems Development and Implementation Review of the related chapters of the lecture.
14 Business Intelligence Applications Review of the related chapters of the lecture.
Resources
Course Notes
Course Resources
Order Program Outcomes Level of Contribution
1 2 3 4 5
1 Can follow new and current technologies and evaluate them
2 Can understand the operation of Corporate Information Systems and use these systems at a basic level
3 Constructs numerical models of basic business problems.
4 Solves modeled business problems with the help of information technologies and interprets the solutions
5 Contributes to informatics oriented projects as a member of the team
6 Effectively uses information technology tools that support teamwork in project management.
7 Master basic business functions and information technologies and establishes the link between them
8 Contributes to the design, development and implementation processes of corporate information systems.
9 Can produce and present quality documentation for all kinds of projects, including entrepreneurship projects.
10 Prepares informative, effective and interesting presentations and presents these presentations.
Evaluation System
Semester Studies Contribution Rate
1. Ara Sınav 40
1. Ödev 20
2. Ödev 20
3. Ödev 20
Total 100
1. Yıl İçinin Başarıya 60
1. Final 40
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 10 10
Quiz 1 5 5
Final examination 1 15 15
Performance Task (Application) 2 10 20
Total Workload 130
Total Workload / 25 (Hours) 5.2
dersAKTSKredisi 5