Biomaterials (MATE460) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Biomaterials MATE460 Area Elective 3 0 0 3 5
Pre-requisite Course(s)
N/A
Course Language English
Course Type Elective Courses
Course Level Bachelor’s Degree (First Cycle)
Mode of Delivery
Learning and Teaching Strategies .
Course Coordinator
Course Lecturer(s)
Course Assistants
Course Objectives To give issues of biomaterials’ behavior, toxicology, and biocompatibility; the properties, performance, and use of biomaterials in order to teach the fundamental principles of biomaterials to all engineers, biologists, medical doctors
Course Learning Outcomes The students who succeeded in this course;
  • Students obtain a wealth of valuable data and get experience that will be of use to all bioengineers, materials scientists, and practicing physicians concerned with the properties, performance, and use of materials—from research engineers faced with selecting materials for given tasks to physicians and surgeons interested in materials’ biocompatibility, behavior, and toxicology.
Course Content Definition of biomaterial,biocompatibility,host response,synthetic and biological materials,synthetic biomaterial classes,polymers in the body,implant factors,host factors,categories of biomaterial applications,evaluation of biomaterials,historical evaluation of implants,current work in biomaterials, motivation for future directions,current trends.Properties of materials;bulk properties of materials, mechanical properties of materials;comparison of common surface analysis methods;

Weekly Subjects and Releated Preparation Studies

Week Subjects Preparation
1 Definition of biomaterial, biocompatibility, host response Related pages of the given sources
2 Synthetic and biological materials Related pages of the given sources
3 Categories of biomaterial applications Related pages of the given sources
4 Evaluation of biomaterials, historical evaluation of implants Related pages of the given sources
5 Current work in biomaterials
6 Motivation for future directions Related pages of the given sources
7 Current trends Related pages of the given sources
8 Midterm 1
9 Properties of materials; bulk properties of materials Related pages of the given sources
10 Mechanical properties of materials Related pages of the given sources
11 Comparison of common surface analysis methods Related pages of the given sources
12 Sterilisation Methods of Biomaterials Related pages of the given sources
13 Polymers as Biomaterials Related pages of the given sources
14 Evaluation of student presentations
15 Recitation before final exam
16 Final Exam

Sources

Other Sources 1. Biomaterials An Introduction, Joon Park, R.S. Lakes, 3rd Edition, Springer, 2007.
2. Biomaterials Principles and Applications, Joon Park, Joseph D. Bronzino, CRC Press, 2003.
3. Biomaterials and Bioengineering Handbook, Donald L. Wiss, 2003.
4. Biomaterials in the Design and Reliability of Medical Devices, Michael N. Helmus, Eurekah, 2002.

Evaluation System

Requirements Number Percentage of Grade
Attendance/Participation 1 10
Laboratory - -
Application - -
Field Work - -
Special Course Internship - -
Quizzes/Studio Critics - -
Homework Assignments 2 20
Presentation - -
Project - -
Report - -
Seminar - -
Midterms Exams/Midterms Jury 1 30
Final Exam/Final Jury 1 40
Toplam 5 100
Percentage of Semester Work 60
Percentage of Final Work 40
Total 100

Course Category

Core Courses X
Major Area Courses
Supportive Courses
Media and Managment Skills Courses
Transferable Skill Courses

The Relation Between Course Learning Competencies and Program Qualifications

# Program Qualifications / Competencies Level of Contribution
1 2 3 4 5
1 Has adequate knowledge in mathematics, science, and computer engineering-specific subjects; uses theoretical and practical knowledge in these areas to solve complex engineering problems. X
2 Identifies, defines, formulates, and solves complex engineering problems; selects and applies appropriate analysis and modeling methods for this purpose.
3 Designs a complex system, process, device, or product to meet specific requirements under realistic constraints and conditions; applies modern design methods for this purpose.
4 Develops, selects, and uses modern techniques and tools necessary for the analysis and solution of complex problems encountered in computer engineering applications; uses information technologies effectively.
5 Designs experiments, conducts experiments, collects data, analyzes and interprets results for the investigation of complex engineering problems or research topics specific to the discipline of computer engineering.
6 Works effectively in disciplinary and multidisciplinary teams; gains the ability to work individually.
7 Communicates effectively in Turkish, both orally and in writing; writes effective reports and understands written reports, prepares design and production reports, makes effective presentations, gives and receives clear and understandable instructions.
8 Knows at least one foreign language; writes effective reports and understands written reports, prepares design and production reports, makes effective presentations, gives and receives clear and understandable instructions.
9 Has awareness of the necessity of lifelong learning; accesses information, follows developments in science and technology, and continuously improves oneself.
10 Acts in accordance with ethical principles and has awareness of professional and ethical responsibility.
11 Has knowledge about the standards used in computer engineering applications.
12 Has knowledge about workplace practices such as project management, risk management, and change management.
13 Gains awareness about entrepreneurship and innovation.
14 Has knowledge about sustainable development.
15 Has knowledge about the health, environmental, and safety impacts of computer engineering applications in universal and societal dimensions and the contemporary issues reflected in the field of engineering.
16 Gains awareness of the legal consequences of engineering solutions.
17 Analyzes, designs, and expresses numerical computation and digital representation systems.
18 Uses programming languages and appropriate computer engineering concepts to solve computational problems.

ECTS/Workload Table

Activities Number Duration (Hours) Total Workload
Course Hours (Including Exam Week: 16 x Total Hours) 16 3 48
Laboratory
Application
Special Course Internship
Field Work
Study Hours Out of Class 16 1 16
Presentation/Seminar Prepration
Project
Report
Homework Assignments 2 8 16
Quizzes/Studio Critics
Prepration of Midterm Exams/Midterm Jury 1 20 20
Prepration of Final Exams/Final Jury 1 25 25
Total Workload 125