Medical Imaging Techniques | |||||
Associate | TR-NQF-HE: Level 5 | QF-EHEA: Short Cycle | EQF-LLL: Level 5 |
Course Code: | UNI050 | ||||
Course Name: | Introduction to Artificial Intelligence | ||||
Semester: | Spring | ||||
Course Credits: |
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Language of instruction: | Turkish | ||||
Course Condition: | |||||
Does the Course Require Work Experience?: | No | ||||
Type of course: | University Elective | ||||
Course Level: |
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Mode of Delivery: | E-Learning | ||||
Course Coordinator: | Doç. Dr. ŞEBNEM ÖZDEMİR | ||||
Course Lecturer(s): | Dr. Öğr. Üyesi Şebnem Özdemir | ||||
Course Assistants: |
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. |
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 |
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 |
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 Learning Outcomes | 1 |
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3 |
4 |
5 |
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Program Outcomes | |||||||||||||
1) Has a basic level of theoretical and practical knowledge about the field of Medical Imaging Techniques. | |||||||||||||
2) Apply radiation safety and radiation protection rules. It takes necessary measures to protect itself and the patient from the harmful effects of radiation. | |||||||||||||
3) Knows the infrastructure of medical imaging devices, daily maintenance and controls of the devices. | |||||||||||||
4) Has knowledge about occupational health and safety. | |||||||||||||
5) In order to solve unforeseen complex problems encountered in the applications related to the field, it takes part in the team and acts in accordance with the quality management and processes and takes individual responsibility when necessary. | |||||||||||||
6) Communicates effectively with colleagues, patients, relatives, physicians and other health professionals. | |||||||||||||
7) Knows radiological anatomy at basic level. Recognize the anatomical structures displayed. | |||||||||||||
8) Know medical and radiological terms, uses effectively. | |||||||||||||
9) Has the ability to communicate and work effectively with different medical sciences. | |||||||||||||
10) Adopts the principle of lifelong learning and follows and learns the technological developments in the field. | |||||||||||||
11) Follows the information in his / her field and communicates with his / her colleagues by using a foreign language at least at a level of European Language Portfolio A2 General Level. | |||||||||||||
12) Uses information and communication technologies with computer software at least at the basic level of European Computer Driving License required by the field. | |||||||||||||
13) Has knowledge about ethical principles and rules in the field. |
No Effect | 1 Lowest | 2 Average | 3 Highest |
Program Outcomes | Level of Contribution | |
1) | Has a basic level of theoretical and practical knowledge about the field of Medical Imaging Techniques. | |
2) | Apply radiation safety and radiation protection rules. It takes necessary measures to protect itself and the patient from the harmful effects of radiation. | |
3) | Knows the infrastructure of medical imaging devices, daily maintenance and controls of the devices. | |
4) | Has knowledge about occupational health and safety. | |
5) | In order to solve unforeseen complex problems encountered in the applications related to the field, it takes part in the team and acts in accordance with the quality management and processes and takes individual responsibility when necessary. | |
6) | Communicates effectively with colleagues, patients, relatives, physicians and other health professionals. | |
7) | Knows radiological anatomy at basic level. Recognize the anatomical structures displayed. | |
8) | Know medical and radiological terms, uses effectively. | |
9) | Has the ability to communicate and work effectively with different medical sciences. | |
10) | Adopts the principle of lifelong learning and follows and learns the technological developments in the field. | |
11) | Follows the information in his / her field and communicates with his / her colleagues by using a foreign language at least at a level of European Language Portfolio A2 General Level. | |
12) | Uses information and communication technologies with computer software at least at the basic level of European Computer Driving License required by the field. | |
13) | Has knowledge about ethical principles and rules in the field. |
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 |
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 |