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Course Code: 
MATH 252
Semester: 
Spring
Course Type: 
Core
P: 
3
Lab: 
2
Laboratuvar Saati: 
0
Credits: 
4
ECTS: 
7
Course Language: 
English
Course Objectives: 
This course constitutes the pillar of many topics in mathematics such as complex analysis, differential equations, differential and integral calculus, and differential geometry. It is impossible to assimilate these areas of mathematics without having this basic knowledge of analysis. The aim of the course is to equip students with this basic knowledge.
Course Content: 

Elements of point set theory.Functions and the Real Number System. Open and closed sets in Rp. Accumulation points. Bolzano-Weierstrass theorem in Rp.  Compactness and connectedness.Heine Borel Theorem. Convergence of sequences in Rp. Sequences of Functions, Uniform Convergence Continuity and Uniform continuity.Sequences of Continuous Functions,Limits of Functions.

Course Methodology: 
1: Lecture, 2: Problem Solving
Course Evaluation Methods: 
A: Written examination, B: Homework

Vertical Tabs

Course Learning Outcomes

Learning Outcomes Program Learning Outcomes Teaching Methods Assessment Methods
1) Grasp the structure of the real numbers as a complete ordered field 2,3 1,2 A,B
2) Learn how to handle the convergence of sequences, series 1,2,4,7 1,2 A,B
3) Master the concept of the limit of functions and the concept of continuity; 2,3,4,7 1,2 A,B
4) Acquire the knowledge of differentiability of functions 1,2,4,7 1,2 A,B
5) Learn integration and classes of Riemann integrable functions 1,2,4,7 1,2 A,B

Course Flow

COURSE CONTENT
Week Topics Study Materials
1 Limits of Functions, Limit Theorems, Cauchy Convergence criterion Textbook
2 Continuous Functions, Combinations of Continuous Functions, Continuous Functions on Intervals Textbook
3 Uniform Continuity. Monotone functions. Inverse Function Theorem Textbook
4 Continuous and Monotone Functions, Sequences of Functions, Pointwise and Uniform Convergence Textbook
5 Cauchy Criterion for Uniform Convergence Textbook
6 The Derivative, The Mean Value Theorem, L'Hospital Rules, Taylor's Theorem Textbook
7 Partitions and Tagged Partitions, Riemann sum, Riemann integrability Textbook
8 Some Properties of the Integral, Boundedness Theorem Textbook
9 Riemann Integrable Functions, Cauchy Criterion, Textbook
10 Squeeze Theorem, Classes of Riemann Integrable Functions Textbook
11 Additivity Theorem, The Fundamental Theorem of Calculus, Textbook
12 Substitution Theorem, Lebesgue’s lntegrability Criterion, Textbook
13 Composition Theorem, The Product Theorem, Textbook
14 Integration by Parts, Taylor’s Theorem with the Remainder Textbook

Recommended Sources

RECOMMENDED SOURCES
Textbook Robert G. Bartle, Donald R. Sherbert, Introduction to Real Anlaysis, Fourth Edition, John Wiley & Sons, Inc.(2011),ISBN-13: 978-0471433316ISBN-10: 9780471433316.

https://sciencemathematicseducation.files.wordpress.com/2014/01/0471433314realanalysis4.pdf

Additional Resources Stephen Abbott, Understanding Analysis, Springer, 2. Edition (2015)

Material Sharing

Documents  
Assignments  
Exams  

Assessment

IN-TERM STUDIES NUMBER PERCENTAGE
Mid-terms 2 70
Quizzes   -
Assignments 3 30
Total   100
CONTRIBUTION OF FINAL EXAMINATION TO OVERALL GRADE   40
CONTRIBUTION OF IN-TERM STUDIES TO OVERALL GRADE   60
Total   100

 

COURSE CATEGORY Expertise/Field Courses

Course’s Contribution to Program

COURSE'S CONTRIBUTION TO PROGRAM
No Program Learning Outcomes Contribution
1 2 3 4 5  
1 The ability to make computation on the basic topics of mathematics such as limit, derivative, integral, logic, linear algebra and discrete mathematics which provide a basis for the fundamental research fields in mathematics (i.e., analysis, algebra, differential equations and geometry)         x  
2 Acquiring fundamental knowledge on fundamental research fields in mathematics         x  
3 Ability form and interpret the relations between research topics in mathematics         x  
4 Ability to define, formulate and solve mathematical problems         x  
5 Consciousness of professional ethics and responsibility     x      
6 Ability to communicate actively     x      
7 Ability of self-development in fields of interest       x    
8 Ability to learn, choose and use necessary information technologies     x      
9 Lifelong education     x      

ECTS

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION
Activities Quantity Duration
(Hour)
Total
Workload
(Hour)
Course Duration (14x Total course hours) 14 5 70
Hours for off-the-classroom study (Pre-study, practice) 14 4 56
Mid-terms (Including self-study) 2 10 20
Quizzes - - -
Assignments 3 5 15
Final examination (Including self-study) 1 15 15
Total Work Load     176
Total Work Load / 25 (h)     7
ECTS Credit of the Course     7