MT0022 Selected topics in number theory

6 ECTS - 3-0 Duration (T+A)- . Semester- 3 National Credit

Information

Code MT0022
Name Selected topics in number theory
Term 2023-2024 Academic Year
Term Spring
Duration (T+A) 3-0 (T-A) (17 Week)
ECTS 6 ECTS
National Credit 3 National Credit
Teaching Language Türkçe
Level Doktora Dersi
Type Normal
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator
Course Instructor
1


Course Goal / Objective

To see how different areas of mathematics play a role in the solution of the problems that comes from number theory.

Course Content

Selected topics in analytic and algebraic number theory: an overview to problems in multiplicative and additive number theory, additive patterns in integers and additive combinatorics, solving number theory problems with probabilistic methods, applications of algebraic methods in cryptography

Course Precondition

None.

Resources

Additive Combinatorics, T. Tao and V. Vu, 2006, Cambridge University Press. An Introduction to Sieve Methods and Their Applications, A. C. Cojocaru and M. R. Murty, 2005, Cambridge University Press.

Notes

The Probabilistic Method, N. Alon and J. Spencer, 3rd ed., 2008, John Wiley & Sons Inc. The Theory of Probability: Explorations and Applications, S. S. Venkatesh, 2013, Cambridge University Press.


Course Learning Outcomes

Order Course Learning Outcomes
LO01 (S)he understands the main problem of the Ramsey theory.
LO02 (S)he learns the applications of the probability theory in number theory.
LO03 (S)he learns the basic techniques in the analytic number theory.
LO04 (S)he learns the facts that can be deduced by the basic sieve theory.
LO05 (S)he learns the applications of the algebraic number theory in computer science.


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 Bilgi - Kuramsal, Olgusal Knows the results of previous research in a special field of mathematics 5
PLO02 Bilgi - Kuramsal, Olgusal Knows in detail the relationship between the results in her area of expertise and other areas of mathematics. 4
PLO03 Bilgi - Kuramsal, Olgusal Establishes new mathematical models with the help of the knowledge gained in the field of specialization. 5
PLO04 Bilgi - Kuramsal, Olgusal Has basic knowledge in all areas of mathematics 4
PLO05 Bilgi - Kuramsal, Olgusal It presents the knowledge gained in different fields of mathematics and their relations with each other in the simplest and most understandable way.
PLO06 Bilgi - Kuramsal, Olgusal Effectively uses the technical equipment needed to express mathematics 5
PLO07 Bilgi - Kuramsal, Olgusal Sets up original problems in her field and offers different solution techniques
PLO08 Bilgi - Kuramsal, Olgusal It carries out original and qualified scientific studies on the subject related to its field. 4
PLO09 Bilgi - Kuramsal, Olgusal Analyzes existing mathematical theories and develops new theories. 3
PLO10 Beceriler - Bilişsel, Uygulamalı Knows the teaching-learning techniques in areas of mathematics that require expertise and uses these techniques effectively at every stage of education. 2
PLO11 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği To have foreign language knowledge at a level to be able to follow foreign sources related to the field and to communicate verbally and in writing with foreign stakeholders. 4
PLO12 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği It presents and publishes its original works within the framework of scientific ethical rules for the benefit of its stakeholders.
PLO13 Yetkinlikler - Öğrenme Yetkinliği Adheres to the ethical rules required by its scientific title 4


Week Plan

Week Topic Preparation Methods
1 Ramsey Theory Study the relevant sections in the textbook and solve problems Öğretim Yöntemleri:
Anlatım, Tartışma
2 Basic probability theory Study the relevant sections in the textbook and solve problems Öğretim Yöntemleri:
Anlatım, Tartışma
3 Introduction to the probabilistic method and Ramsey numbers Study the relevant sections in the textbook and solve problems Öğretim Yöntemleri:
Anlatım, Tartışma
4 van der Waerden's theorem and van der Waerden numbers Study the relevant sections in the textbook and solve problems Öğretim Yöntemleri:
Anlatım, Tartışma
5 Expectation and the Markov inequality Study the relevant sections in the textbook and solve problems Öğretim Yöntemleri:
Anlatım, Tartışma
6 Sum-free sets and Erdös' Theorem Study the relevant sections in the textbook and solve problems Öğretim Yöntemleri:
Anlatım, Tartışma
7 The concept of variance and Chebyshev's inequality Study the relevant sections in the textbook and solve problems Öğretim Yöntemleri:
Anlatım, Tartışma
8 Mid-Term Exam Reviewed of the topics discussed in the lecture notes and source again Ölçme Yöntemleri:
Yazılı Sınav
9 Distinct sums and the Erdös-Moser Theorem Study the relevant sections in the textbook and solve problems Öğretim Yöntemleri:
Anlatım, Tartışma
10 The partial summation technique and Mertens' theorems Study the relevant sections in the textbook and solve problems Öğretim Yöntemleri:
Anlatım, Tartışma
11 Turan's proof of the Hardy-Ramanujan theorem Study the relevant sections in the textbook and solve problems Öğretim Yöntemleri:
Anlatım, Tartışma
12 Eratosthenes' Sieve and Rankin's Trick Study the relevant sections in the textbook and solve problems Öğretim Yöntemleri:
Anlatım, Tartışma
13 Smooth numbers and the factoring problem Study the relevant sections in the textbook and solve problems Öğretim Yöntemleri:
Anlatım, Tartışma
14 An introduction to the algebraic number theory Study the relevant sections in the textbook and solve problems Öğretim Yöntemleri:
Anlatım, Tartışma
15 The Number Field Sieve Study the relevant sections in the textbook and solve problems Öğretim Yöntemleri:
Anlatım, Tartışma
16 Term Exams Reviewed of the topics discussed in the lecture notes and source again Ölçme Yöntemleri:
Yazılı Sınav
17 Term Exams Reviewed of the topics discussed in the lecture notes and source again Ölçme Yöntemleri:
Yazılı Sınav


Student Workload - ECTS

Works Number Time (Hour) Workload (Hour)
Course Related Works
Class Time (Exam weeks are excluded) 14 3 42
Out of Class Study (Preliminary Work, Practice) 14 5 70
Assesment Related Works
Homeworks, Projects, Others 0 0 0
Mid-term Exams (Written, Oral, etc.) 1 15 15
Final Exam 1 30 30
Total Workload (Hour) 157
Total Workload / 25 (h) 6,28
ECTS 6 ECTS

Update Time: 10.05.2023 01:10