At the end of this course, the students; 1) Introduce biodegradable, biomimetic & smart design approaches to biomaterial engineering 2) To introduce regulatory and ethical concerns dealing with the implementation and commercialization of biomaterials 3) Provide graduate-level foundation on contemporary biomaterial principles 4) Read, understand and assimilate papers, publications and lectures in the biomaterials / develop analysis and critical thinking skills for the evaluation of relevant literature
MODE OF DELIVERY
Face to face
PRE-REQUISITES OF THE COURSE
No
RECOMMENDED OPTIONAL PROGRAMME COMPONENT
COURSE DEFINITION
COURSE CONTENTS
WEEK
TOPICS
1st Week
Introduction to the polymers & biodegradable polymers
2nd Week
Test of biodegradability
3rd Week
Introduction to the smart biomaterials & shape memory materials
4th Week
Classification on the basis of stimuli
5th Week
Smart hyrogels, characterisations and medical applications
6th Week
Smart nanoassemblies and nanoparticles with medical applications
7th Week
Multi-stimuli-responsive systems
8th Week
Smart surfaces & micro- and nanopatterning processes
9th Week
Biomimetic approaches
10th Week
Smart nanofibers
11th Week
Regulations in biomaterials
12th Week
Ethical concerns in biomaterials
13th Week
Project presentation
14th Week
Project presentation
RECOMENDED OR REQUIRED READING
"Smart Biomaterial" edited by Mitsuhiro Ebara, Yohei Kotsuchibashi, Ravin Narain, Naokazu Idota, Young-Jin Kim, John M. Hoffman, Koichiro Uto, Takao Aoyagi,2014 " Biodegradable Polymer-Based Scaffolds for Bone Tissue Engineering " edited by Naznin Sultana ,2013 Internet and library files
PLANNED LEARNING ACTIVITIES AND TEACHING METHODS
Lecture,Discussion,Presentation
ASSESSMENT METHODS AND CRITERIA
Quantity
Percentage(%)
Mid-term
1
30
Assignment
1
20
Quiz
1
15
Total(%)
65
Contribution of In-term Studies to Overall Grade(%)
65
Contribution of Final Examination to Overall Grade(%)
35
Total(%)
100
ECTS WORKLOAD
Activities
Number
Hours
Workload
Midterm exam
1
72
72
Preparation for Quiz
1
12
12
Individual or group work
2
3
6
Preparation for Final exam
1
24
24
Course hours
14
3
42
Preparation for Midterm exam
1
11
11
Laboratory (including preparation)
0
0
0
Final exam
1
96
96
Homework
1
24
24
Total Workload
287
Total Workload / 30
9,56
ECTS Credits of the Course
10
LANGUAGE OF INSTRUCTION
Turkish
WORK PLACEMENT(S)
No
KEY LEARNING OUTCOMES (KLO) / MATRIX OF LEARNING OUTCOMES (LO)