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

Course Introduction and Application Information

Course Code:

YBS105

Course Name:

Introduction to Artificial Intelligence

Semester:

Fall

Course Credits:

ECTS

Language of instruction:

Turkish

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):

Doç. Dr. Şebnem Özdemir

Course Assistants:

Course Objective and Content

Course Objectives:

The aim of this course is to introduce students to the basic concepts, techniques and application areas of artificial intelligence; to gain the ability to use artificial intelligence methods such as problem solving, learning, decision making and algorithm development in the context of management information systems.

Course Content:

In this course, the definition, history and basic concepts of artificial intelligence are introduced. The relationship between artificial intelligence and management information systems is discussed, with particular emphasis on its contribution to decision making processes. Basic techniques such as search algorithms (breadth-first, depth-first, heuristic search) and knowledge representation methods (propositional and predicate logic) are examined. Within the scope of expert systems and decision support systems, how artificial intelligence is used in businesses is explained with examples. In addition, the concept of machine learning is introduced; supervised and unsupervised learning methods are introduced. In addition to basic algorithms such as decision trees, k-nearest neighbor (k-NN), naive Bayes, the basics of artificial neural networks are covered. Natural language processing (NLP) technologies are introduced and current applications such as chatbots and recommendation systems are analyzed. Later in the course, the ethical aspects of AI, bias, transparency of decisions and societal impacts are discussed. Finally, students are expected to develop a small-scale artificial intelligence application, thus reinforcing the theoretical knowledge they have learned with practice.

Learning Outcomes

The students who have succeeded in this course;
1) Upon successful completion of this course, students will be able to comprehend the basic concepts, history and approaches of artificial intelligence and will be able to evaluate this knowledge in the context of management information systems. Recognize basic artificial intelligence methods such as search algorithms, knowledge representation and logic and apply them to appropriate problems. Understand the structure of expert systems and decision support systems and explain how these systems can be used in business processes. Students also learn the basic principles of machine learning and analyze algorithms such as decision trees, k-nearest neighbor and naive Bayes. Understand the basic principles of artificial neural networks and natural language processing techniques and explain their practical applications. Develop an awareness of the ethical, social and legal implications of artificial intelligence and ensure responsible evaluation of artificial intelligence applications. Finally, they reinforce their practical skills by designing and developing simple AI-based solutions for real-world problems.

Course Flow Plan

Week

Subject

Related Preparation

Sources

Course Notes / Textbooks:	-
References:	-

Course - Program Learning Outcome Relationship

Course Learning Outcomes	1
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.
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.

Assessment & Grading

Semester Requirements	Number of Activities	Level of Contribution
Homework Assignments	1	% 15
Midterms	1	% 30
Final	1	% 55
total		% 100
PERCENTAGE OF SEMESTER WORK		% 45
PERCENTAGE OF FINAL WORK		% 55
total		% 100