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:

MIS030

Course Name:

Big Data Technologies

Semester:

Fall

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):

Ahmet Tezcan Tekin

Course Assistants:

Course Objective and Content

Course Objectives:

This course aims to introduce students to the basic concepts and techniques that support modern database management systems (DBMS). It deals with different architectures and the applications in which they are used. It aims to teach relational data model, relational database languages and SQL. The course also covers NoSQL databases, MongoDB and Redis for new systems in big data management. At the end of the course, Apache Spark technology for real-time data processing, a very popular approach to big data management, will be covered.

Course Content:

This course covers Data and Knowledge Management Systems, Database Systems, Relational Database Management Systems, CRUD operations, Procedures and Views in RDBMS, Constraints in RDBMS, Document Based Database Systems, Cache Memory Database System, SPARK Applications.

Learning Outcomes

The students who have succeeded in this course;
1) Upon successfully completing the course, students understand and apply the scope and contents of Big Data Management in real life.
2) Upon successfully completing the course, students can use current Big Data Management tools utilized in the industry.
3) Upon successfully completing the course, students can Process real-time data.

Course Flow Plan

Week	Subject	Related Preparation
1)	Introduction to Database
2)	Database Design
3)	Structured Query Language (SQL) and Industrial Practices
4)	Crud Operations and Industrial Practices
5)	SQL Joins and Industrial Practices
6)	SQL Constraints and Industrial Practices
7)	Procedural Language in RDBMS
8)	Midterm Week
9)	Document Based Databases and Industrial Applications
10)	Document Based Databases and Industrial Applications
11)	Advances Practices in Document Based Data Base
11)	Not Only Structured Query Language (NoSQL) and Industrial Applications
12)	Not Only Structured Query Language (NoSQL) and Industrial Applications
13)	Advances Practices in Document Based Data Base
14)	Advances Practices in Document Based Data Base
15)	Project Presentations
16)	Final Week

Sources

Course Notes / Textbooks:	1. "Big Data: Principles and best practices of scalable real-time data systems" by Nathan Marz and James Warren. 2. "Hadoop: The Definitive Guide" by Tom White.
References:	1. "Learning Spark: Lightning-Fast Big Data Analysis" by Holden Karau, Andy Konwinski, Patrick Wendell, and Matei Zaharia. 2. "Programming Hive" by Edward Capriolo, Dean Wampler, and Jason Rutherglen.

Course - Program Learning Outcome Relationship

Course Learning Outcomes	1	2	3
Program Outcomes
1) It has a wide range of interdisciplinary approaches to management information systems, primarily business and computer engineering.	3	3	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.	3	3	3
3) Uses different information technologies and systems for understanding and solving various business problems.	3	3	3
4) Interpret the data, concepts and ideas in the field of management information systems with scientific and technological methods.	2	2	3
5) Analyze the needs for an information system and analyze the processes of analysis, design and implementation of the database.	2	2	2
6) Gains technical and managerial contributions to IT projects and takes responsibility.	2	2	2
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.	1	1	1
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.	1	1	1
13) It uses information and communication technologies together with computer software at the advanced level of European Computer Driving License required by the field.	3	3	3

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.	3
3)	Uses different information technologies and systems for understanding and solving various business problems.	3
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.	2
7)	Solve complex business and informatics problems by using various statistical techniques and numerical methods and make analyzes using statistical programs effectively.	2
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.	1
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.	1
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.	2
13)	It uses information and communication technologies together with computer software at the advanced level of European Computer Driving License required by the field.	3

Assessment & Grading

Semester Requirements	Number of Activities	Level of Contribution
Quizzes	4	% 5
Homework Assignments	3	% 10
Project	1	% 20
Midterms	1	% 25
Final	1	% 40
total		% 100
PERCENTAGE OF SEMESTER WORK		% 60
PERCENTAGE OF FINAL WORK		% 40
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	2		28
Presentations / Seminar	1	4	1		5
Project	1	12	1		13
Homework Assignments	3	10			30
Quizzes	4	0	4		16
Midterms	1	10	1		11
Final	1	15	1		16
Total Workload					119