GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
APPLICATION AREAS OF MATHEMATICS/MAT- 443
Course Title: APPLICATION AREAS OF MATHEMATICS
Credits 3 ECTS 5
Semester 7 Compulsory/Elective Elective
COURSE INFO
 -- LANGUAGE OF INSTRUCTION
  Turkish
 -- NAME OF LECTURER(S)
  Assoc.Prof.Dr. Fatma AYAZ
 -- WEB SITE(S) OF LECTURER(S)
  http://websitem.gazi.edu.tr/site/fayaz
 -- EMAIL(S) OF LECTURER(S)
  fayaz@gazi.edu.tr
 -- LEARNING OUTCOMES OF THE COURSE UNIT
Gaining a greater understanding and appreciation of the power of mathematical analysis,
The knowledge, wich are gained in the course, helps students to broaden their horizon,
To prepare the sudents for post graduate studies,
Connection between Differential equations and phenomenon and then setting the equations,
Students have gained knowledge about computer programming and preparing algorithms.




 -- 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
  Ordinary and Partial Differential Equations, Calculus I,II
 --COURSE CONTENT
1. Week  Mathematical Modelling: Population Models
2. Week  Growth and Decay: Drug Absorbtion
3. Week  Growth and Decay:Carbon Dating
4. Week  Growth and Decay:Water Heating and Cooling
5. Week  Growth and Decay:Alcohol Absorbtion, Accident Risk
6. Week  Rocket Flight
7. Week  Torriçelli's Law for water flow
8. Week  Midterm Exam
9. Week  Sales Responce to Advertising
10. Week  Electric Circuits
11. Week  Pollution of the Great Lakes
12. Week  Mechanical Oscillation
13. Week  Chemical Kinetics
14. Week  Epidemics
15. Week  Spring-Mass System
16. Week  Final Exam
 -- RECOMMENDED OR REQUIRED READING
  Modelling with Differential Equations, D.N.Burghes, M.S. Borrie, Ellis Horwood Series : Mathematics and its Application, 1982
 -- PLANNED LEARNING ACTIVITIES AND TEACHING METHODS
  Lecture, Question & Answer, Demonstration, Drill - Practise
 -- WORK PLACEMENT(S)
  None
 -- ASSESSMENT METHODS AND CRITERIA
 
Quantity
Percentage
 Mid-terms
1
30
 Assignment
2
5
 Exercises
2
5
 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
14
2
28
 Searching in Internet and Library
14
2
28
 Designing and Applying Materials
0
 Preparing Reports
0
 Preparing Presentation
0
 Presentation
0
 Mid-Term and Studying for Mid-Term
1
13
13
 Final and Studying for Final
1
13
13
 Other
0
 TOTAL WORKLOAD: 
124
 TOTAL WORKLOAD / 25: 
4.96
 ECTS: 
5
 -- 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 give good education in the program fields as algebra, geometry, applied mathematics, topology and analysis in order to be equipped with enough mathematics.X
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
10To enable the student to gain the ability of relating mathematics with the other sciences.X