ES545 TISSUE ENGINEERING
| Course Code: | 5610545 |
| METU Credit (Theoretical-Laboratory hours/week): | 3 (3.00 - 0.00) |
| ECTS Credit: | 8.0 |
| Department: | Engineering Sciences |
| Language of Instruction: | English |
| Level of Study: | Graduate |
| Course Coordinator: | Prof.Dr. AYŞEN TEZCANER |
| Offered Semester: | Fall Semesters. |
Course Objectives
The course is aimed to provide engineering students with fundamental engineering and biological principles underlying the field of tissue engineering, to update students with innovations in this rapidly growing multidisciplinary field, to develop problem solving skills for strategies to engineer specific tissues for clinical use, to develop the ability to communicate effectively and participate in interdisciplinary teams in approaching biomedical issues.
Course Content
Principles of Tissue Engineering. Engineering of Functional Tissues. Scaffold Design and Processing Techniques. Multifunctional Scaffolds. Vascularization Strategies in Tissue Engineering. Clinical Translational Research in Tissue Engineering.
Course Learning Outcomes
This course will enable students
to have understanding of need for tissue engineering in biomedical field
to learn basic concepts related with tissue engineering approaches for different tissues in human body
to learn main components; cell, scaffolds and regenerative factors and their roles in tissue Engineering
to comprehend possible and usable cell sources (stem cells, autologous and allogenic somatic cells), possible and usable scaffold materials and their production methods and types of regenerative cues (drugs, growth factors, ions, molecules, external or internal stimuli etc.)
to develop a comprehensive approach on example selected tissues like bone, cartilage, cornea, skin etc. for tissue engineering applications
to master the need and spectrum of special characterization methods for tissue engineering constructs within the frame of in vitro/in vivo perspective.
to search and present examples of Tissue Engineering products in the market or clinical trials.
Program Outcomes Matrix
| Contribution | |||||
| # | Program Outcomes | No | Yes | ||
| 1 | Skills to analyse and to use different experiment set ups | ✔ | |||
| 2 | Skills to apply mathematical models to experimental and observatory results | ✔ | |||
| 3 | Ability to write and present research outcomes | ✔ | |||
| 4 | Awareness of academic and research ethics | ✔ | |||
| 5 | Ability to work in multidisciplinary groups | ✔ | |||
| 6 | Skills to follow new developments in basic science and engineering areas | ✔ | |||