Management Information Systems (English) Preview
Bachelor	TR-NQF-HE: Level 6	QF-EHEA: First Cycle	EQF-LLL: Level 6

Course Introduction and Application Information

Course Code:

MIS031

Course Name:

Big Data Storaging Technologies

Semester:

Spring

Course Credits:

ECTS

Language of instruction:

English

Course Condition:

Does the Course Require Work Experience?:

Type of course:

Departmental Elective

Course Level:

Bachelor

TR-NQF-HE:6. Master`s Degree

QF-EHEA:First Cycle

EQF-LLL:6. Master`s Degree

Mode of Delivery:

E-Learning

Course Coordinator:

Doç. Dr. ŞEBNEM ÖZDEMİR

Course Lecturer(s):

Dr. Öğr. Üyesi Ahmet Tezcan Tekin

Course Assistants:

Course Objective and Content

Course Objectives:

The main objective of this course is to provide students with a comprehensive understanding of Big Data Storaging Technologies. The course will cover both the theoretical and practical aspects of these technologies, with a focus on understanding their roles, functionalities, and applications in various industries. By the end of the course, students should be equipped with the necessary knowledge and skills to implement and manage Big Data storage solutions effectively.

Course Content:

1. Introduction to Big Data and its importance in today's digital era
2. Concept of Storing Big Data: Understanding the challenges and solutions
3. Overview of Big Data Storaging Technologies: Hadoop, Apache Spark, NoSQL databases
4. Deep dive into Hadoop Ecosystem: HDFS, MapReduce, YARN, Hive and Pig
5. Case studies and Real-world applications of Big Data Storaging Technologies

Learning Outcomes

The students who have succeeded in this course;
1) 1. Understand the basic concepts of Big Data and its importance in various sectors.
2) 2. Acquire knowledge about different Big Data Storaging Technologies and their applications.
3) 3. Develop ability to design and manage Big Data storage solutions.
4) 4. Ability to work with Hadoop ecosystem tools and technologies.
5) 5. Develop problem-solving skills to tackle real-world Big Data storage challenges.

Course Flow Plan

Week	Subject	Related Preparation
1)	1. Introduction to Big Data
2)	2. Introduction to Big Data Storaging Technologies
3)	3. Deep dive into Hadoop and its architecture
4)	4. Detailed study of HDFS
5)	5. Understanding MapReduce and YARN
6)	6. Introduction to Hive and Pig
7)	7. Case studies on Big Data Storaging Technologies
8)	Midterm Exam
9)	9. Overview of NoSQL databases
10)	10. Detailed study on Apache Cassandra
11)	11. Introduction to Apache Spark and its role in Big Data storage
12)	12. Detailed study of Apache Spark and its components
13)	13. Case studies on Apache Spark and NoSQL databases
14)	14. Real-world applications of Big Data Storaging Technologies
15)	15. Review
16)	Final exam

Sources

Course Notes / Textbooks:	1. "Hadoop: The Definitive Guide" by Tom White 2. "Big Data: Principles and best practices of scalable real-time data systems" by Nathan Marz
References:	1. "Mastering Hadoop" by Sandeep Karanth 2. "Hadoop in Action" by Chuck Lam

Course - Program Learning Outcome Relationship

Course Learning Outcomes	1	2	3	4	5
Program Outcomes
1) It has a wide range of interdisciplinary approaches to management information systems, primarily business and computer engineering.
2) Comprehends the management information systems in terms of technical, organizational and managerial aspects and uses the current programming language by knowing the logic of programming.
3) Uses different information technologies and systems for understanding and solving various business problems.
4) Interpret the data, concepts and ideas in the field of management information systems with scientific and technological methods.
5) Analyze the needs for an information system and analyze the processes of analysis, design and implementation of the database.
6) Gains technical and managerial contributions to IT projects and takes responsibility.
7) Solve complex business and informatics problems by using various statistical techniques and numerical methods and make analyzes using statistical programs effectively.
8) Uses a foreign language at the B1 General Level in terms of European Language Portfolio criteria according to the level of education.
9) Develops teamwork, negotiation, leadership and entrepreneurship skills.
10) Has universal ethical values, social responsibility awareness and sufficient legal knowledge.
11) Develops positive attitudes related to lifelong learning and identifies individual learning needs and carries out studies to correct them.
12) Students will be able to communicate their ideas and solutions both written and orally, and present and publish them on both national and international platforms.
13) It uses information and communication technologies together with computer software at the advanced level of European Computer Driving License required by the field.

Course - Learning Outcome Relationship

No Effect	1 Lowest	2 Average	3 Highest

	Program Outcomes	Level of Contribution
1)	It has a wide range of interdisciplinary approaches to management information systems, primarily business and computer engineering.	3
2)	Comprehends the management information systems in terms of technical, organizational and managerial aspects and uses the current programming language by knowing the logic of programming.	2
3)	Uses different information technologies and systems for understanding and solving various business problems.	2
4)	Interpret the data, concepts and ideas in the field of management information systems with scientific and technological methods.	3
5)	Analyze the needs for an information system and analyze the processes of analysis, design and implementation of the database.	3
6)	Gains technical and managerial contributions to IT projects and takes responsibility.	3
7)	Solve complex business and informatics problems by using various statistical techniques and numerical methods and make analyzes using statistical programs effectively.	3
8)	Uses a foreign language at the B1 General Level in terms of European Language Portfolio criteria according to the level of education.	2
9)	Develops teamwork, negotiation, leadership and entrepreneurship skills.	2
10)	Has universal ethical values, social responsibility awareness and sufficient legal knowledge.	2
11)	Develops positive attitudes related to lifelong learning and identifies individual learning needs and carries out studies to correct them.	2
12)	Students will be able to communicate their ideas and solutions both written and orally, and present and publish them on both national and international platforms.	3
13)	It uses information and communication technologies together with computer software at the advanced level of European Computer Driving License required by the field.	2

Assessment & Grading

Semester Requirements	Number of Activities	Level of Contribution
Midterms	1	% 40
Final	1	% 60
total		% 100
PERCENTAGE OF SEMESTER WORK		% 40
PERCENTAGE OF FINAL WORK		% 60
total		% 100

Workload and ECTS Credit Calculation

Activities	Number of Activities	Preparation for the Activity	Spent for the Activity Itself	Completing the Activity Requirements	Workload
Course Hours	14	0	3		42
Midterms	1	35	2		37
Final	1	50	3		53
Total Workload					132