Bilgisayar Mühendisliği
Lisans	Programın Süresi: 4	Kredi Sayısı: 240	TYYÇ: 6. Düzey	QF-EHEA: 1. Düzey	EQF: 6. Düzey

Ders Genel Tanıtım Bilgileri

School/Faculty/Institute

Faculty of Engineering

Course Code

COMP 466

Course Title in English

Business Intelligence

Course Title in Turkish

İş Zekası

Language of Instruction

Type of Course

Exercise,Flipped Classroom,Lecture

Level of Course

Intermediate

Semester

Bahar,Güz

Contact Hours per Week

Lecture: 3

Recitation:

Lab:

Other:

Estimated Student Workload

156 hours per semester

Number of Credits

6 ECTS

Grading Mode

Standard Letter Grade

Pre-requisites

COMP 109 - Computer Programming (JAVA)

Expected Prior Knowledge

Basic programming and SQL knowledge

Co-requisites

None

Registration Restrictions

Only Undergraduate Students

Overall Educational Objective

To learn fundamentals of business intelligence concepts and construct basic data warehouse by using DMQL.

Course Description

The aim of this course is to provide the students with an understanding of how to getting insight using bulk data. Querying, data warehouse design, understanding schemas, reporting layer and data visualization will be completed and the information about the end-to-end solution will be transferred.

Course Description in Turkish

Bu dersin amacı, öğrencilere toplu verileri kullanarak nasıl öngörü elde edeceklerini anlamalarını sağlamaktır. Sorgulama, veri ambarı tasarımı, şemaları anlama, raporlama katmanı, veri madenciliği ve veri görselleştirme tamamlanacak ve uçtan uca çözümle ilgili bilgiler aktarılacaktır.

Course Learning Outcomes and Competences

Upon successful completion of the course, the learner is expected to be able to:
1)
2)
3)
4)
5)
6)
7)

Program Learning Outcomes/Course Learning Outcomes	1	2	3	4	5	6	7
1) An ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics
2) An ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors
3) An ability to communicate effectively with a range of audiences
4) An ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts
5) An ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives
6) An ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions
7) An ability to acquire and apply new knowledge as needed, using appropriate learning strategies.

Relation to Program Outcomes and Competences

N None	S Supportive	H Highly Related

	Program Outcomes and Competences	Level	Assessed by
1)	An ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics	H	Exam,HW,Project
2)	An ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors	H	Project
3)	An ability to communicate effectively with a range of audiences	S	Project
4)	An ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts	H	Exam,HW,Project
5)	An ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives	S	Project
6)	An ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions	H	HW,Lab,Project
7)	An ability to acquire and apply new knowledge as needed, using appropriate learning strategies.	H	Project

Prepared by and Date	ADEM KARAHOCA , March 2021
Course Coordinator	ADEM KARAHOCA
Semester	Bahar,Güz
Name of Instructor	Öğr. Gör. KORAY KOCABAŞ

Course Contents

Hafta	Konu
1)
2)
3)
4)
5)
6)
7)
8)
9)
10)
11)
12)
13)
14)
15)
16)

Required/Recommended Readings

1. Business Intelligence, Analytics, and Data Science: A Managerial Perspective, 4th edition, ISBN 978-0-13-463328-2, by Ramesh Sharda, Dursun Delen, and Efraim Turban, Pearson Education,2018 2. Data Mining: Practical Machine Learning Tools and Techniques (Morgan Kaufmann Series in Data Management Systems) 4th Edition, Ian H. Witten, Eibe Frank, Mark A. Hall, Christopher J. Pal

Teaching Methods

Flipped classroom. Students work individually for assignments.

Homework and Projects

Assignments

Laboratory Work

None

Computer Use

Required

Other Activities

None

Assessment Methods

Assessment Tools	Count	Weight
Küçük Sınavlar	12	% 25
Projeler	1	% 25
Ara Sınavlar	2	% 50
TOTAL		% 100

Course Administration

karahocaa@mef.edu.tr

Instructor’s office: 5th floor Phone number: 0 212 395 37 45 Office hours: After the lecture hours. E-mail address: karahocaa@mef.edu.tr Rules for attendance: No attendance required. Statement on plagiarism: YÖK Regulations

ECTS Student Workload Estimation

Activity	No/Weeks	Hours			Calculation
	No/Weeks per Semester	Preparing for the Activity	Spent in the Activity Itself	Completing the Activity Requirements
Ders Saati	14	1	2		42
Laboratuvar	10	1	2		30
Sınıf Dışı Ders Çalışması	1	1	10		11
Proje	1	5	25		30
Ödevler	10	1	2		30
Final	1	10	3		13
Total Workload					156
Total Workload/25					6.2
ECTS					6