ISTINYE UNIVERSITY BİLGİ PAKETİ / DERS KATALOĞU
| 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: |
|
||||
| Language of instruction: | Turkish | ||||
| Course Condition: | |||||
| Does the Course Require Work Experience?: | No | ||||
| Type of course: | University Elective | ||||
| Course Level: |
|
||||
| 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. | |
| 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 |
| 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 | ||||||