Course Name Code Semester T+U Hours Credit ECTS
Neural Network Engineering BMM 502 0 3 + 0 3 6
Precondition Courses
Recommended Optional Courses
Course Language Turkish
Course Level yuksek_lisans
Course Type Optional
Course Coordinator Dr.Öğr.Üyesi GÜLTEKİN ÇAĞIL
Course Lecturers
Course Assistants
Course Category
Course Objective
Course Content
# Course Learning Outcomes Teaching Methods Assessment Methods
Week Course Topics Preliminary Preparation
Resources
Course Notes
Course Resources
Order Program Outcomes Level of Contribution
1 2 3 4 5
1 An understanding of integrated knowledge of science and engineering in the biomedical issues.
2 The capability to apply advanced mathematics to solve the problems at the interface of engineering and biology
3 The ability to carry out measurements on living systems and interpret the obtained data
4 An ability to function on multi-disciplinary teams
5 Addressing the problems associated with both living and non-living materials and systems
6 Proficiency in the use of modern techniques, tools, procedures, and knowledge useful in the definition and solution of problems in biomedical engineering area.
Evaluation System
Semester Studies Contribution Rate
Total 0
Total 0
ECTS - Workload Activity Quantity Time (Hours) Total Workload (Hours)
Total Workload 0
Total Workload / 25 (Hours) 0
dersAKTSKredisi 6