GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
MATHEMATICS III/MAT2045
Course Title: MATHEMATICS III
Credits 4 ECTS 5
Course Semester 3 Type of The Course Compulsory
COURSE INFORMATION
 -- (CATALOG CONTENT)
 -- (TEXTBOOK)
 -- (SUPPLEMENTARY TEXTBOOK)
 -- (PREREQUISITES AND CO-REQUISITES)
 -- LANGUAGE OF INSTRUCTION
  Turkish
 -- COURSE OBJECTIVES
 -- COURSE LEARNING OUTCOMES
Understanding multivariable functions, limit and continuity in multivariable functions, partial derivatives, chain rule, derivative of complete differ
Extremums in multivariable functions,
Learning the geometric meaning of partial derivatives
Leibnitz rule, doublet integrals and field calculation, zone transformations in two integrals, polar coordinates,
Calculation of volume, mass and center of gravity by means of double integrals,
Triple integrals and their applications, Spherical coordinates, cylindrical coordinates,
Understanding multivariable functions,
Limit calculation, continuity in multivariable functions and partial derivatives,
Understanding the chain rule

 -- MODE OF DELIVERY
   The mode of delivery of this course is Face to face
 --WEEKLY SCHEDULE
1. Week  Multivariable functions, limit and continuity in multivariable functions
2. Week  Partial derivatives, chain rule
3. Week  Derivative of full differential and closed functions
4. Week  Extremums in multivariable functions, geometric meaning of partial derivatives
5. Week  Leibnitz's rule, double integrals and field calculation, zone transformations in two integrals
6. Week  Polar coordinates, Calculation of volume, mass and center of gravity by means of double integrals
7. Week  Triple integrals and their applications, Spherical coordinates, cylindrical coordinates, Midterm exam
8. Week  Calculation of volume, mass and center of gravity by means of triple integrals, Midterm
9. Week  Curvilinear integrals, Calculating the field and arc length by means of curvilinear integrals
10. Week  Calculation of mass and center of gravity by curvilinear integrals
11. Week  Business problems
12. Week  Independence from the path
13. Week  Green's theorem and its applications
14. Week  Surface integrals
15. Week  Final exam
16. Week  --
 -- TEACHING and LEARNING METHODS
 -- ASSESSMENT CRITERIA
 
Quantity
Total Weighting (%)
 Midterm Exams
1
30
 Assignment
2
10
 Application
0
0
 Projects
0
0
 Practice
0
0
 Quiz
0
0
 Percent of In-term Studies  
40
 Percentage of Final Exam to Total Score  
60
 -- WORKLOAD
 Activity  Total Number of Weeks  Duration (weekly hour)  Total Period Work Load
 Weekly Theoretical Course Hours
14
4
56
 Weekly Tutorial Hours
0
 Reading Tasks
5
2
10
 Searching in Internet and Library
5
2
10
 Material Design and Implementation
0
 Report Preparing
0
 Preparing a Presentation
0
 Presentation
0
 Midterm Exam and Preperation for Midterm Exam
5
4
20
 Final Exam and Preperation for Final Exam
5
5
25
 Other (should be emphasized)
0
 TOTAL WORKLOAD: 
121
 TOTAL WORKLOAD / 25: 
4.84
 Course Credit (ECTS): 
5
 -- COURSE'S CONTRIBUTION TO PROGRAM
NO
 PROGRAM LEARNING OUTCOMES
1
2
3
4
5
11. The statistical textbooks which include latest information about statistics, equipment and other resources supported by scientific approach on undergraduate level have theoretical and practical knowledge.X
22. Statisticians by using knowledge and skills acquired at bachelor degree level model, analyze, and interpret datasets.X
33. Statisticians identify and analyze the problems with current developments in statistic and also develop solutions based upon researches and proofs.X
44. Statisticians apply theoretical and practical knowledge acquired in Statistics at bachelor degree level to the current problems.X
55. Statisticians have the ability to use computer software and computing technology at the certain level required by statistics field.X
66. Statisticians take responsibility at disciplinary and interdisciplinary studies as an individual or a team member.X
77. Statisticians must have knowledge and ability to follow development in the field of Statistics, and must develop life long-learning attitudes.X
88. By using a foreign language, statistician can keep track of every statistical information, and communicate with colleagues.X
99. Applying the statistical knowledge in the professional sense, statistician has social, scientific, and ethical values.X
1010. A statistician must have the ability to social sensitivity and socialization.X
1111. During the process of inference, a statistician uses time efficiently with the analytical thinking ability.X
 -- NAME OF LECTURER(S)
   (Prof. Dr. Esra ERKUŞ DUMAN , Prof. Dr. Hatice Gül İNCE İLARSLAN)
 -- WEB SITE(S) OF LECTURER(S)
   (https://websitem.gazi.edu.tr/site/eduman , https://websitem.gazi.edu.tr/site/ince)
 -- EMAIL(S) OF LECTURER(S)
   (eduman@gazi.edu.tr , ince@gazi.edu.tr)