PAÜ .:. Eğitim Öğretim Bilgi Sistemi

COURSE INFORMATION

Course Code	Course Title	L+P Hour	Semester	ECTS
BMM 224	ARTIFICIAL INTELLIGENCE APPLICATIONS IN MEDICINE	3 + 0	6th Semester	4

COURSE DESCRIPTION

Course Level	Bachelor's Degree
Course Type	Elective
Course Objective	The aim of this course is to learn machine learning and artificial intelligence applications in medical images, signals and data.
Course Content	Machine learning, feature extraction, feature selection, classification, deep learning, hyperparameters, optimization and regularization, deep learning architectures, medical segmentation, automatic anomaly detection, image processing applications in medicine, signal processing applications in medicine, deep learning applications in medical images and signals, Python and MATLAB artificial intelligence libraries
Prerequisites	No the prerequisite of lesson.
Corequisite	No the corequisite of lesson.
Mode of Delivery	Face to Face

COURSE LEARNING OUTCOMES

1	To learn machine learning methods applied in medical images and signals.
2	To understand deep learning architectures.
3	Artificial intelligence-based segmentation and anomaly detection in medical images
4	To be able to develop applications with MATLAB and Python programs.

COURSE'S CONTRIBUTION TO PROGRAM

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION

Activities	Quantity	Duration (Hour)	Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)	14	3	42
Mid-terms	1	20	20
Final examination	1	22	22
Internet Searching/ Library Study	1	20	20
Total Work Load ECTS Credit of the Course			104 4

COURSE DETAILS

Select Year

This course is not available in selected semester.

L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes

Prospective Student