Course Information

Course Information
Course Title Code Semester L+U Hour Credits ECTS
Partial Differential Equation Models MAT514 3 + 0 3.0 8.0
Prerequisites None
Language of Instruction Turkish
Course Level Graduate
Course Type
Mode of delivery Lecturing
Course Coordinator Prof. Dr. İlhame AMİRALİ
Instructors FUAT USTA
Assistants
Goals Ensuring high level of knowledge related to the topics in the content of the course, giving the ability of using this konwledge in discussion and research environments to students.
Course Content Obtain conservation equation, Fluids in two and three dimension, Random movements and diffusion equation, Population models based on diffusion Random movements of microorganizms Density-dependent propagation Simple solutions , the time-independent solutions (steady-state), Nonuniform time- independent solutions Homogen time - independent solutions Higher dimensional mathematical models
Learning Outcomes - Students will learn theoretical concepts in mathematics
- Students will learn how to read academical journals
Weekly Topics (Content)
Week Topics Learning Methods
1. Week Obtain conservation equation
2. Week Two and three dimensional fluid
3. Week Random movements and diffusion equation
4. Week Population models based on diffusion
5. Week Random movements of microorganizms
6. Week Density-dependent propagation
7. Week Simple solutions , the time-independent solutions (steady-state)
8. Week Midterm
9. Week Nonuniform time- independent solutions
10. Week Homogen time - independent solutions
11. Week Higher dimensional mathematical models
12. Week Higher dimensional mathematical models
13. Week Higher dimensional mathematical models
14. Week Higher dimensional mathematical models
Recommended Sources
1.Mathematical Models in Biology, Leah Edelstein – Keshet, The Random House / Birkhauser Mathematics series.
2.Mathematical Biology, J. D. Murray, Biomathematics Text, Springer (1993).
Relations with Education Attainment Program Course Competencies
Program Requirements Contribution Level DK1 DK2 Measurement Method
PY1 4 4 4 40
PY2 5 5 5 40
PY3 5 5 5 60
PY4 5 5 5 60
PY5 4 4 4 40
PY6 4 4 4 60
PY7 5 5 5 60
PY8 4 4 4 60
PY9 4 4 4 60
PY10 4 4 4 60
*DK = Course's Contrubution.
0 1 2 3 4 5
Course's Level of contribution None Very Low Low Fair High Very High
Method of assessment/evaluation Written exam Oral Exams Assignment/Project Laboratory work Presentation/Seminar
ECTS credits and course workload
Event Quantity Duration (Hour) Total Workload (Hour)
Midterm 1 1 2 2
Homework 1 15 2 30
Homework 2 15 2 30
Final 1 2 2
Practice 15 3 45
Practice End-Of-Term 15 3 45
Classroom Activities 15 3 45
Total Workload 199
ECTS Credit of the Course 8.0