SPECIAL TOPICS IN BIOENGINEERING II
- Course
- BIOE533 - SPECIAL TOPICS IN BIOENGINEERING II
- Department
- Bioengineering - English - Master
- Course Type
- Course
- Status
- Required
- Language
- English
- Credit
- 3
- ECTS
- 0
- T+P+L
- 3 + 0 + 0
- Course Coordinator(s)
- -
- Prerequisite
- -
- Keywords
- -
Course Description
-
SPECIAL TOPICS IN BIOENGINEERING II
Evaluation Tools (Active Term)
No evaluation items have been defined.
Course outcomes
No course outcomes have been defined yet.
Course Syllabus
| Week | Topic |
|---|---|
| Week 1 | Fundamentals of Information Systems |
| Week 2 | Measurement Systems and Errors |
| Week 3 | Medical Image Processing and AI in Healthcare |
| Week 4 | Biopotentials |
| Week 5 | Nanomaterials for Targeted Drug Delivery |
| Week 6 | Robotics for Biomedical Applications |
| Week 7 | CRISPR targeted drug delivery through nanotechnology approach |
| Week 8 | Midterm Week |
| Week 9 | Midterm Week |
| Week 10 | Stem Cell Engineering and Regenerative Medicine |
| Week 11 | Artificial Organs |
| Week 12 | Biohybrid Systems |
| Week 13 | 3D Bioprinting of Organs and Tissues |
| Week 14 | Wearable Biosensors for Health Monitoring |
| Week 15 | AI and Machine Learning in Bioengineering Applications |
Reference Books & Course Materials
- 01 Deep Learning for Medical Image Analysis, 2nd Edition S. Kevin Zhou
- 02 Machine Learning and Deep Learning in Medical Data Analytics and Healthcare Applications — Om Prakash Jena, Bharat Bhushan, Utku Köse
Learning Outcomes
No learning outcomes have been defined.
Program Outcomes
- Adequate knowledge in mathematics, science and engineering subjects pertaining to the relevant discipline; ability to use theoretical and applied knowledgein these areas in complex engineering problems
- Ability to identify, formulate, and solve complex engineering problems; ability to select and apply proper analysis and modeling methods for this purpose.
- Ability to design a complex system, process, device or product under realistic constraints and conditions, in such a way as to meet the desired result; ability to apply modern design methods for this purpose.
- Ability to devise, select, and use modern techniques and tools needed for analyzing and solving complex problems encountered in engineering practice; ability to employ information technologies effectively.
- Ability to design and conduct experiments, gather data, analyze and interpret results for investigating complex engineering problems or discipline specific research questions.
- Ability to work efficiently in intra-disciplinary and multi-disciplinary teams; ability to work individually.
- Ability to communicate effectively in Turkish, both orally and in writing; knowledge of a minimum of one foreign language; ability to write effective reports and comprehend written reports, prepare design and production reports, make effective presentations, and give and receive clear and intelligible instructions.
- Recognition of the need for lifelong learning; ability to access information, to follow developments in science and technology, and to continue to educate him/herself.
- Consciousness to behave according to ethical principles and professional and ethical responsibility; knowledge on standards used in engineering practice.
- Knowledge about business life practices such as project management, risk management, and change management; awareness in entrepreneurship, innovation; knowledge about sustainable development.
- Knowledge about the global and social effects of engineering practices on health, environment, and safety, and contemporary issues of the century reflected into the field of engineering; awareness of the legal consequences of engineering solutions.
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