# GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
MATHEMATICS II/MAT 102
 Course Title: MATHEMATICS II Credits 4 ECTS 6 Course Semester 2 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
Find indefinite and definite integrals
Learn the applications of definite integral.
To learn the concept of series and series.

-- MODE OF DELIVERY
The mode of delivery of this course is Face to face
 --WEEKLY SCHEDULE 1. Week Integration: Area and Estimating with Finite Sums, Sigma Notation and Limits of Finite Sums 2. Week Integration: The Definite Integral, The Fundamental Theorem of Calculus 3. Week Integration: Indefinite Integrals and the Substitution Method 4. Week Integration: Substitution and Area Between Curves 5. Week Applications of Definite Integrals: Volumes Using Cross-Sections 6. Week Applications of Definite Integrals: Volumes Using Cylindrical Shells, Arc Length 7. Week Transcendental Functions: Inverse Functions and Their Derivatives, Natural Logarithms, Exponential Functions. 8. Week Transcendental Functions: Indeterminate Forms and L'Hôpital's Rule, Midterm 9. Week Transcendental Functions: Inverse Trigonometric Functions, Hyperbolic Functions 10. Week Techniques of Integration: Integration by Parts 11. Week Techniques of Integration: Trigonometric Integrals, Trigonometric Substitutions 12. Week Techniques of Integration: Integration of Rational Functions by Partial Fractions 13. Week Techniques of Integration: Numerical Integration, Improper Integrals 14. Week Infinite Sequences and Series: Sequences, Infinite Series 15. Week Final exam 16. Week --
-- TEACHING and LEARNING METHODS
-- ASSESSMENT CRITERIA
 Quantity Total Weighting (%) Midterm Exams 1 40 Assignment 0 0 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 11 4 44 Searching in Internet and Library 11 2 22 Material Design and Implementation 0 Report Preparing 0 Preparing a Presentation 0 Presentation 0 Midterm Exam and Preperation for Midterm Exam 1 12 12 Final Exam and Preperation for Final Exam 1 24 24 Other (should be emphasized) 0 TOTAL WORKLOAD: 158 TOTAL WORKLOAD / 25: 6.32 Course Credit (ECTS): 6
-- 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)
(Matematik Bölümü Öğretim Üyeleri)
-- WEB SITE(S) OF LECTURER(S)
(fefmatematik@gazi.edu.tr)
-- EMAIL(S) OF LECTURER(S)
(fefmatematik@gazi.edu.tr)