FACULTY OF ARTS AND SCIENCES

Department of Mathematics

MATH 317 | Course Introduction and Application Information

Course Name
Elementary Number Theory
Code
Semester
Theory
(hour/week)
Application/Lab
(hour/week)
Local Credits
ECTS
MATH 317
Fall/Spring
3
0
3
7

Prerequisites
None
Course Language
English
Course Type
Elective
Course Level
First Cycle
Mode of Delivery -
Teaching Methods and Techniques of the Course -
Course Coordinator -
Course Lecturer(s)
Assistant(s)
Course Objectives The aim of this course is to provide an understanding of classical number theory topics such as divisibility algorithm, prime numbers and their distributions, Diaphontine equations, conjugate theory and number-theoretical functions.
Learning Outcomes The students who succeeded in this course;
  • will be able to analyze the division algortihm and Diaphontine equations.
  • will be able to employ primes, their distributions and notion of congruences.
  • will be able to define number-theoretic functions.
  • will be able to analyze Fermat’s theorem, its generalization.
  • will be able to identify primitive roots and indices.
Course Description In this course, divisibility algorithm, Diaphontine equations, prime numbers and distributions, conjugate theory, number-theoretical functions, Fermat's theorem and its generalization, prime roots, indices will be discussed.

 



Course Category

Core Courses
Major Area Courses
X
Supportive Courses
Media and Management Skills Courses
Transferable Skill Courses

 

WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES

Week Subjects Related Preparation
1 Divisibility theory in integers “Elementary Number Theory” by David M. Burton, McGraw-Hill Education, 7th Edition, 2010. ISBN-13: 978-0073383149 Chapter 2.2
2 The Division Algorithm. Euclidean Algorithm “Elementary Number Theory” by David M. Burton, McGraw-Hill Education, 7th Edition, 2010. ISBN-13: 978-0073383149 Chapter 2.2, 2.4
3 Diophantine equations “Elementary Number Theory” by David M. Burton, McGraw-Hill Education, 7th Edition, 2010. ISBN-13: 978-0073383149 Chapter 2.5
4 Primes and their distributions, The Sieve of Eratosthenes, The fundamental theorem of arithmetic “Elementary Number Theory” by David M. Burton, McGraw-Hill Education, 7th Edition, 2010. ISBN-13: 978-0073383149 Chapter 3.2
5 The theory of congruences, Linear congruences “Elementary Number Theory” by David M. Burton, McGraw-Hill Education, 7th Edition, 2010. ISBN-13: 978-0073383149 Chapter 4
6 The Chinese remainder theorem “Elementary Number Theory” by David M. Burton, McGraw-Hill Education, 7th Edition, 2010. ISBN-13: 978-0073383149 Chapter 4.4
7 Midterm Exam I
8 Fermat’s theorem “Elementary Number Theory” by David M. Burton, McGraw-Hill Education, 7th Edition, 2010. ISBN-13: 978-0073383149 Chapter 5
9 Number Theoretic functions “Elementary Number Theory” by David M. Burton, McGraw-Hill Education, 7th Edition, 2010. ISBN-13: 978-0073383149 Cahpter 6.1
10 The Möbius inversion formula “Elementary Number Theory” by David M. Burton, McGraw-Hill Education, 7th Edition, 2010. ISBN-13: 978-0073383149 Chapter 6.2
11 Midterm Exam II
12 Euler’s generalization of Fermat’s theorem “Elementary Number Theory” by David M. Burton, McGraw-Hill Education, 7th Edition, 2010. ISBN-13: 978-0073383149 Chapter 7
13 Primitive Roots and indices “Elementary Number Theory” by David M. Burton, McGraw-Hill Education, 7th Edition, 2010. ISBN-13: 978-0073383149 Chapter 8
14 Primitive Roots and indices “Elementary Number Theory” by David M. Burton, McGraw-Hill Education, 7th Edition, 2010. ISBN-13: 978-0073383149 Chapter 8.1
15 Semester Review
16 Final Exam

 

Course Notes/Textbooks

“Elementary Number Theory” by David M. Burton, McGraw-Hill Education, 7th Edition, 2010. ISBN-13: 978-0073383149

Suggested Readings/Materials

 

EVALUATION SYSTEM

Semester Activities Number Weigthing
Participation
Laboratory / Application
Field Work
Quizzes / Studio Critiques
Portfolio
Homework / Assignments
Presentation / Jury
Project
1
25
Seminar / Workshop
Oral Exams
Midterm
1
30
Final Exam
1
45
Total

Weighting of Semester Activities on the Final Grade
2
55
Weighting of End-of-Semester Activities on the Final Grade
1
45
Total

ECTS / WORKLOAD TABLE

Semester Activities Number Duration (Hours) Workload
Theoretical Course Hours
(Including exam week: 16 x total hours)
16
3
48
Laboratory / Application Hours
(Including exam week: '.16.' x total hours)
16
0
Study Hours Out of Class
14
4
56
Field Work
0
Quizzes / Studio Critiques
0
Portfolio
0
Homework / Assignments
0
Presentation / Jury
0
Project
1
30
30
Seminar / Workshop
0
Oral Exam
0
Midterms
1
35
35
Final Exam
1
41
41
    Total
210

 

COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP

#
Program Competencies/Outcomes
* Contribution Level
1
2
3
4
5
1

To be able to have a grasp of basic mathematics, applied mathematics or theories and applications of statistics.

2

To be able to use advanced theoretical and applied knowledge, interpret and evaluate data, define and analyze problems, develop solutions based on research and proofs by using acquired advanced knowledge and skills within the fields of mathematics or statistics.

X
3

To be able to apply mathematics or statistics in real life phenomena with interdisciplinary approach and discover their potentials.

X
4

To be able to evaluate the knowledge and skills acquired at an advanced level in the field with a critical approach and develop positive attitude towards lifelong learning.

5

To be able to share the ideas and solution proposals to problems on issues in the field with professionals, non-professionals.

6

To be able to take responsibility both as a team member or individual in order to solve unexpected complex problems faced within the implementations in the field, planning and managing activities towards the development of subordinates in the framework of a project.

X
7

To be able to use informatics and communication technologies with at least a minimum level of European Computer Driving License Advanced Level software knowledge.

8

To be able to act in accordance with social, scientific, cultural and ethical values on the stages of gathering, implementation and release of the results of data related to the field.

9

To be able to possess sufficient consciousness about the issues of universality of social rights, social justice, quality, cultural values and also environmental protection, worker's health and security.

10

To be able to connect concrete events and transfer solutions, collect data, analyze and interpret results using scientific methods and having a way of abstract thinking.

X
11

To be able to collect data in the areas of Mathematics or Statistics and communicate with colleagues in a foreign language.

12

To be able to speak a second foreign language at a medium level of fluency efficiently.

13

To be able to relate the knowledge accumulated throughout the human history to their field of expertise.

*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest

 


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