| Course Type | Elective Course |
| Course Level | Master's Degree With Thesis |
| Year of Study | - |
| Semester | - |
| ECTS | 10 |
| Name of Lecturer(s) |
|
| Learning Outcomes |
At the end of this course, the students;
- Have basic knowledge on modeling of cell, tissue and organs.
- Learn to ability of solving some problems on these models and simulate it in computer.
- Research a physiological system model.
|
| Mode of Delivery | Face to face |
| Prerequisites | No |
| Recommended Optional Programme Components | None |
| Course Description | Advanced course focusing on mathematical modeling and simulation of nerve cells, networks of nerve cells and other physiological and biochemical structures and processes. Kinetics of enzymes and drugs, dynamics of drugs. Methods for modeling of cellular processes and cell signals in other systems and organisms (pancreas, blood, yeast cells). The functional organization of the nervous system and related models and theories for perception, memory, selection of behavior and movement. The module will investigate a range of biological problems using modern mathematical tools. The aim is to indicate the applicability of mathematics to recent work in the life sciences. |
| Course Contents |
| WEEK |
TOPICS |
|
1st Week |
Review of physiological systems modeling studies |
|
2nd Week |
Mathematical Modeling and modeling of physiological systems |
|
3rd Week |
Differential equations and computer solutions |
|
4th Week |
Biophysical events in the cell, modeling of action potential |
|
5th Week |
Modeling the circulatory system |
|
6th Week |
Modeling the respiratory system |
|
7th Week |
Modeling the respiratory system |
|
8th Week |
midterm |
|
9th Week |
Model of regulation of glucose level in the body, modeling of drug kinetics |
|
10th Week |
Artificial kidney modeling |
|
11th Week |
Modeling the functioning of SA node cells in the heart |
|
12th Week |
Modeling of EEG |
|
13th Week |
Modeling respiratory control |
|
14th Week |
Animal models |
|
| Recommended or Required Reading | (1) V.C.Rideout, Mathematical and Computer Modeling of Physiological Systems, Prentice Hall, 1991.
(2) Pysiological Control Systems Micheal C.K.Khoo
|
| Planned Learning Activities and Teaching Methods |
- Lecture
- Project
- Presentation
|
| Assessment Methods and Criteria |
|
Quantity |
Percentage (%) |
| Mid-term |
1 |
25 |
| Assignment |
1 |
10 |
| Quiz |
2 |
10 |
| Project |
1 |
20 |
| Total(%) |
|
65 |
| Contribution of In-term Studies to Overall Grade(%) |
|
65 |
| Contribution of Final Examination to Overall Grade(%) |
|
35 |
| Total(%) |
|
100 |
|
| ECTS Allocated Based on Student Workload |
| Activities |
Quantity |
Duration (Hour) |
Total Workload (Hour) |
| Midterm exam |
1 |
84 |
84 |
| Preparation for Quiz |
2 |
12 |
24 |
| 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 |
72 |
72 |
| Homework |
2 |
12 |
24 |
| Total Work Load | 287 |
| Total Work Load / 30 (h) | 9.56 |
| ECTS Credit of the Course | 10 |
|
| Language of Instruction | Turkish |
| Work Placement(s) | No |