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:

MIS309

Course Name:

Data Science 3

Semester:

Fall

Course Credits:

ECTS

Language of instruction:

English

Course Condition:

Does the Course Require Work Experience?:

Type of course:

Compulsory Courses

Course Level:

Bachelor

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

QF-EHEA:First Cycle

EQF-LLL:6. Master`s Degree

Mode of Delivery:

Face to face

Course Coordinator:

Doç. Dr. ŞEBNEM ÖZDEMİR

Course Lecturer(s):

Şebnem Özdemir

Course Assistants:

Course Objective and Content

Course Objectives:	The aim of this course is to teach the execution of a data analysis language together with its mathematical background.
Course Content:	Basic Python functions, classical algorithms in machine learning, mathematical infrastructures

Learning Outcomes

The students who have succeeded in this course;
1) Uses Python's core functions
2) Recognizes libraries
3) Comprehends the mathematical structure of decision tree algorithms.
4) Creates a decision tree with the help of R package.
5) Creates a decision tree with the help of Python libraries.
6) Explains the decision tree outputs.

Course Flow Plan

Week	Subject	Related Preparation
1)	Introduction to the Course – Basic Concepts – Overview of Content to be Learned and Assessment and Evaluation Activities for a Whole Semester
2)	Anaconda environment, Jupyter, DataBrick environments
3)	Python and its features
4)	Basic functions and structures in Python
5)	Working with libraries
6)	Decision tree algorithms and basic methods in machine learning
7)	Training and test set distinctions, achievement and performance concepts
8)	Decision trees mathematical background
9)	Decision trees mathematical background
10)	Creating a decision tree using the R package
11)	Evaluating the outputs of decision trees
12)	Creating a decision tree using a Python library
13)	Evaluating the outputs of decision trees, creating multiple models, model comparison
14)	Distruptive Concepts
15)	Final Exam

Sources

Course Notes / Textbooks:	Ek kaynak ihtiyacı bulunmamaktadır. - There is no need for additional resources.
References:	Ek kaynak ihtiyacı bulunmamaktadır. - There is no need for additional resources.

Course - Program Learning Outcome Relationship

Course Learning Outcomes	1	2	3	4	5	6
Program Outcomes
1) It has a wide range of interdisciplinary approaches to management information systems, primarily business and computer engineering.	3	3	2	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	3
3) Uses different information technologies and systems for understanding and solving various business problems.	3	3	3	3	3	3
4) Interpret the data, concepts and ideas in the field of management information systems with scientific and technological methods.	3	2	3	2	2	3
5) Analyze the needs for an information system and analyze the processes of analysis, design and implementation of the database.	3	3	1	3	3	3
6) Gains technical and managerial contributions to IT projects and takes responsibility.	2	2	2	2	2	3
7) Solve complex business and informatics problems by using various statistical techniques and numerical methods and make analyzes using statistical programs effectively.	3	3	3	3	3	3
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.	2	2	3	2	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.						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	3	3	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.	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.
9)	Develops teamwork, negotiation, leadership and entrepreneurship skills.	2
10)	Has universal ethical values, social responsibility awareness and sufficient legal knowledge.	1
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
Homework Assignments	1	% 20
Midterms	1	% 35
Final	1	% 45
total		% 100
PERCENTAGE OF SEMESTER WORK		% 55
PERCENTAGE OF FINAL WORK		% 45
total		% 100

Workload and ECTS Credit Calculation

Activities	Number of Activities	Workload
Course Hours	14	28
Application	14	42
Quizzes	5	10
Midterms	8	18
Final	15	28
Total Workload		126