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

Course Introduction and Application Information

Course Code: UNI050
Course Name: Introduction to Artificial Intelligence
Semester: Fall
Spring
Course Credits:
ECTS
5
Language of instruction: Turkish
Course Condition:
Does the Course Require Work Experience?: No
Type of course: University 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 Şebnem Özdemir
Course Assistants:

Course Objective and Content

Course Objectives: Understanding the development, context and methods of artificial intelligence via different examples in different fields
Course Content: The goal of this course for each student is:
To learn the concept of artificial intelligence, used methods and related application issues with different field examples.

Learning Outcomes

The students who have succeeded in this course;
1) Knows the concept of artificial intelligence
2) Explains the methods with their similarities and dissimilarities
3) Explains the social effect of AI and policy of the countries
4) Defines the issues in artificial intelligence such as explainability and bias
5) Define a real life problem and designs a theoretical solution for it by using AI

Course Flow Plan

Week Subject Related Preparation
1) Historical Evolution of Artificial Intelligence (AI)
2) Concepts and Methods in AI: A Simple Artificial Neural Network Design, Artificial Narrow Intelligence, Artificial Super Intelligence, Artificial General Intelligence
3) Concepts and Methods in AI: Machine Learning, Deep Learning
4) Concepts and Methods in AI: Machine Learning, Deep Learning
5) Concepts and Methods in AI: NLP, Machine Translation
6) Concepts and Methods in AI: Computer Vision
7) Concepts and Methods in AI: Expert Systems, Robotic, Optimization
8) MID-TERM EXAMS
9) Issues and Critic Concepts in AI: Bias
10) Issues and Critic Concepts in AI: Explainablity, Fairness, Accountability
11) Different Fields Applications of AI
12) Different Fields Applications of AI
13) AI for More Accessible World: Supporting the Disadvantageous Group with AI
14) Future AI Strategies, Plans and Regulations of the Countries

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

Program Outcomes
1) It has a wide range of interdisciplinary approaches to management information systems, primarily business and computer engineering. 3 3 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. 1 1 1 2 3
3) Uses different information technologies and systems for understanding and solving various business problems. 3 3 3 3 3
4) Interpret the data, concepts and ideas in the field of management information systems with scientific and technological methods. 2 2 2 3 3
5) Analyze the needs for an information system and analyze the processes of analysis, design and implementation of the database. 3 3 3 2 3
6) Gains technical and managerial contributions to IT projects and takes responsibility. 3 3 3 3 3
7) Solve complex business and informatics problems by using various statistical techniques and numerical methods and make analyzes using statistical programs effectively. 2 2 2 2 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. 1 1 2 3 3
10) Has universal ethical values, social responsibility awareness and sufficient legal knowledge. 2 2 3 2 3
11) Develops positive attitudes related to lifelong learning and identifies individual learning needs and carries out studies to correct them. 3 3
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 2 3 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. 1 1 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. 3
9) Develops teamwork, negotiation, leadership and entrepreneurship skills. 3
10) Has universal ethical values, social responsibility awareness and sufficient legal knowledge. 3
11) Develops positive attitudes related to lifelong learning and identifies individual learning needs and carries out studies to correct them. 3
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. 3

Assessment & Grading

Semester Requirements Number of Activities Level of Contribution
Project 1 % 30
Midterms 1 % 30
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 2 2 56
Study Hours Out of Class 14 2 28
Project 1 10 1 11
Midterms 1 10 1 11
Final 1 20 1 21
Total Workload 127