# 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
 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 1 1. 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 2 2. Statisticians by using knowledge and skills acquired at bachelor degree level model, analyze, and interpret datasets. X 3 3. Statisticians identify and analyze the problems with current developments in statistic and also develop solutions based upon researches and proofs. X 4 4. Statisticians apply theoretical and practical knowledge acquired in Statistics at bachelor degree level to the current problems. X 5 5. Statisticians have the ability to use computer software and computing technology at the certain level required by statistics field. X 6 6. Statisticians take responsibility at disciplinary and interdisciplinary studies as an individual or a team member. X 7 7. Statisticians must have knowledge and ability to follow development in the field of Statistics, and must develop life long-learning attitudes. X 8 8. By using a foreign language, statistician can keep track of every statistical information, and communicate with colleagues. X 9 9. Applying the statistical knowledge in the professional sense, statistician has social, scientific, and ethical values. X 10 10. A statistician must have the ability to social sensitivity and socialization. X 11 11. 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)