GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
MATHEMATICAL MODELLING/MAT 4016
Course Title: MATHEMATICAL MODELLING
Credits 3 ECTS 6
Semester 8 Compulsory/Elective Elective
COURSE INFO
 -- LANGUAGE OF INSTRUCTION
  Turkish
 -- NAME OF LECTURER(S)
  Dr. Kadir KANAT
 -- WEB SITE(S) OF LECTURER(S)
  http://www.websitem.gazi.edu.tr/site/kadirkanat
 -- EMAIL(S) OF LECTURER(S)
  kadirkanat@gazi.edu.tr
 -- LEARNING OUTCOMES OF THE COURSE UNIT
To be able to define mathematical modeling process and make model analysis
To be able to make mathematical model and analysis of problems in physical sciences
To be able to make mathematical model and analysis of problems in the science of biology
To be able to express time delayed growth model
To be able to model traffic flow and traffic intensity problems
 -- MODE OF DELIVERY
   The mode of delivery of this course is Face to face
 -- PREREQUISITES AND CO-REQUISITES
  There is no prerequisite or co-requisite for this course.
 -- RECOMMENDED OPTIONAL PROGRAMME COMPONENTS
  There is no recommended optional programme component for this course.
 --COURSE CONTENT
1. Week  Mathematical Modeling
2. Week  Modeling Process, Problem Determination, Model Analysis
3. Week  Defining the variable and formulating the equations
4. Week  Exponential and Logarithmic Models
5. Week  Mathematical Models in Physical Sciences
6. Week  Newton's Laws
7. Week  Initial Value Problem
8. Week  Midterm
9. Week  Mathematical Models in Biology
10. Week  Population Models
11. Week  Exponential Growth
12. Week  Time Delayed Growth Models
13. Week  Traffic Flow Model
14. Week  Traffic Flow and Traffic Density
15. Week  Car-Tracking Models
16. Week  Final Exam
 -- RECOMMENDED OR REQUIRED READING
  R. Heberman, Mathematical Models: Mechanical Vibrations, Population Dynamics, and Traffic Flow, Prentice Hall, 1997.
 -- PLANNED LEARNING ACTIVITIES AND TEACHING METHODS
   Lecture, Question & Answer
 -- WORK PLACEMENT(S)
  Not Applicable
 -- ASSESSMENT METHODS AND CRITERIA
 
Quantity
Percentage
 Mid-terms
1
40
 Assignment
0
0
 Exercises
0
0
 Projects
0
0
 Practice
0
0
 Quiz
0
0
 Contribution of In-term Studies to Overall Grade  
40
 Contribution of Final Examination to Overall Grade  
60
 -- WORKLOAD
 Efficiency  Total Week Count  Weekly Duration (in hour)  Total Workload in Semester
 Theoretical Study Hours of Course Per Week
14
3
42
 Practising Hours of Course Per Week
0
 Reading
0
 Searching in Internet and Library
14
1
14
 Designing and Applying Materials
0
 Preparing Reports
0
 Preparing Presentation
0
 Presentation
0
 Mid-Term and Studying for Mid-Term
7
6
42
 Final and Studying for Final
7
8
56
 Other
0
 TOTAL WORKLOAD: 
154
 TOTAL WORKLOAD / 25: 
6.16
 ECTS: 
6
 -- COURSE'S CONTRIBUTION TO PROGRAM
NO
 PROGRAM LEARNING OUTCOMES
1
2
3
4
5
1To train individuals who are contemporary, entrepreneur and have unique and aesthetic values, self-confidence and capable of independent decision-making.X
2To train individuals who are equipped with enough mathematicsX
3To teach mathematical thinking methods in order to improve the ability to express mathematics both orally and in writing,X
4To train individuals who are knowledgeable about the history of mathematics and the production of scientific knowledge and can follow developments in these disciplines.X
5To provide necessary equipments to take positions such areas as banking, finance, econometrics, and actuarial,X
6To acquire ability to solve problems encountered in real life by means of mathematical modeling using mathematical methods,X
7To provide ability to do necessary resource researches in the areas of mathematics and to use accessed information,X
8To give appropriate training in such areas as in computer programming and creating algorithms in order to take parts in developing IT sector,X
9To gain substructure to be able to study at graduate level.X
10The skill to have professional and ethical responsibilityX