PBT704 - POLYMERIC NANOMATERIALS
Course Name | Code | Semester | Theory (hours/week) |
Application (hours/week) |
Credit | ECTS |
---|---|---|---|---|---|---|
POLYMERIC NANOMATERIALS | PBT704 | 1st Semester | 3 | 0 | 3 | 10 |
Prequisites | ||||||
Course language | Turkish | |||||
Course type | Elective | |||||
Mode of Delivery | Face-to-Face | |||||
Learning and teaching strategies | Discussion Demonstration | |||||
Instructor (s) | Prof. Dr. Olgun Güven/ Doç. Dr. Hatice Kaplan Can | |||||
Course objective | Basic information will be given on the preparation and characterization of polymer based nanomaterials and nanocomposites by providing examples for different applications. | |||||
Learning outcomes |
| |||||
Course Content | Principles of preparation of polymer based nanostructures that means features with maximum 100 nm in one of the dimensions will be discussed and relevant methods of characterization will be described. Among various nanomaterials nanogels, nanotubes, nanowires and nanocomposites will be discussed in detail by giving examples of their applications. | |||||
References | - C.S.S.R. Kumar (Ed.) ?Polymeric Nanomaterials? Wiley, 2011 - O. Güven (Ed.) ?Advanced Nanocomposites: Types, Properties and Applications? NOVA Publshers, New York, 2014 |
Course outline weekly
Weeks | Topics |
---|---|
Week 1 | The role and importance of nanotechnology in our daily life |
Week 2 | Preparation and characterization of nanogels |
Week 3 | Stimuli?responsive nanogels, preparation and characterization |
Week 4 | Core and shell nanogels, preparation and biomedical applications |
Week 5 | Nanotubes and nanowires |
Week 6 | Midterm exam |
Week 7 | Magnetic nanoparticles |
Week 8 | Polymer/clay nanocomposites |
Week 9 | Polymer/nanometal nanocomposites |
Week 10 | Preparation of polymer thin films by layer?by?layer assembly |
Week 11 | Self?assembled systems |
Week 12 | Synthesis of polymeric brushes by nano scale grafting |
Week 13 | Midterm exam |
Week 14 | Preparation of nanofiber by electrospinning |
Week 15 | Homework |
Week 16 | Final exam |
Assesment methods
Course activities | Number | Percentage |
---|---|---|
Attendance | 0 | 0 |
Laboratory | 0 | 0 |
Application | 0 | 0 |
Field activities | 0 | 0 |
Specific practical training | 0 | 0 |
Assignments | 2 | 10 |
Presentation | 0 | 0 |
Project | 0 | 0 |
Seminar | 0 | 0 |
Midterms | 2 | 40 |
Final exam | 1 | 50 |
Total | 100 | |
Percentage of semester activities contributing grade succes | 0 | 50 |
Percentage of final exam contributing grade succes | 0 | 50 |
Total | 100 |
WORKLOAD AND ECTS CALCULATION
Activities | Number | Duration (hour) | Total Work Load |
---|---|---|---|
Course Duration (x14) | 14 | 3 | 42 |
Laboratory | 0 | 0 | 0 |
Application | 0 | 0 | 0 |
Specific practical training | 0 | 0 | 0 |
Field activities | 0 | 0 | 0 |
Study Hours Out of Class (Preliminary work, reinforcement, ect) | 10 | 10 | 100 |
Presentation / Seminar Preparation | 0 | 0 | 0 |
Project | 0 | 0 | 0 |
Homework assignment | 1 | 50 | 50 |
Midterms (Study duration) | 2 | 35 | 70 |
Final Exam (Study duration) | 1 | 40 | 40 |
Total Workload | 28 | 138 | 302 |
Matrix Of The Course Learning Outcomes Versus Program Outcomes
D.9. Key Learning Outcomes | Contrubition level* | ||||
---|---|---|---|---|---|
1 | 2 | 3 | 4 | 5 |
*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest