Mathematics

Introduction to Number Theory(MAT364)

Course Code Course Name Semester Theory Practice Lab Credit ECTS
MAT364 Introduction to Number Theory 6 5 0 0 3 5
Prerequisites
Admission Requirements
Language of Instruction English
Course Type Elective
Course Level Bachelor Degree
Course Instructor(s) Ezgi KANTARCI OĞUZ ezgikantarcioguz@gmail.com (Email)
Assistant
Objective In this course, we will go over some introductory topics in number theory.
Content Divisibility, Prime Numbers, Modular Arithmetics, Multiplicative Functions, Diaphontine Equations, Rational Approximations, Continued Fractions
Course Learning Outcomes Understanding basic number theoretic structures and proof methods.
Teaching and Learning Methods Lectures and problem solving in class, homework, exams
References An Introduction to the Theory of Numbers-Ivan Niven, Herbert S. Zuckerman, Hugh L. Montgomery
Print the course contents
Theory Topics
Week Weekly Contents
1 Divisibility, Euclidean Algorithm, Greatest Common Divisor Function
2 Primes, Fundamental Theory of Arithmetics
3 Binomial Theorem, Pascal Triangle
4 Modular Arithmetics
5 Solutions of modular equations, Chinese Remainder Theorem
6 Primitive Roots
7 Midterm
8 Greatest Integer Function
9 Multiplicative Functions
10 Möbius Inversion
11 Diophantine Equations
12 Markov Equation, Vieta Jumps
13 Farey Tree, Rational Approximations
14 Continued Fractions
Practice Topics
Week Weekly Contents
Contribution to Overall Grade
  Number Contribution
Contribution of in-term studies to overall grade 15 60
Contribution of final exam to overall grade 1 40
Toplam 16 100
In-Term Studies
  Number Contribution
Assignments 13 30
Presentation 0 0
Midterm Examinations (including preparation) 1 25
Project 0 0
Laboratory 0 0
Other Applications 0 0
Quiz 0 0
Term Paper/ Project 0 0
Portfolio Study 0 0
Reports 0 0
Learning Diary 0 0
Thesis/ Project 0 0
Seminar 0 0
Other 1 5
Make-up 0 0
Toplam 15 60
No Program Learning Outcomes Contribution
1 2 3 4 5
1 understands principles of deductive reasoning; has experience to verify well-foundedness and exactness of mathematical statements in systematic ways; X
2 can properly state and use concepts and results of major mathematical interest; X
3 masters current computational techniques and algorithms; has a good ability in their use; can identify relevant tools, among those one has learned, suitable to solve a problem and is able to judge whether or not one is in possession of these tools; X
4 is able to express one’s mathematical ideas in an organised way both in written and oral forms; X
5 understands relations connecting substantial concepts and results; can switch from one viewpoint to another on mathematical objects (pictures, formulae, precise statements, heuristic trials, list of examples,...); X
6 has followed individually a guided learning strategy; has pursued steps toward the resolution of unfamiliar problems; X
7 has a theoretical and practical knowledge in computer science well adapted for learning a programming language; X
8 has investigated the relevance of modeling and using mathematical tools in natural sciences and in the professional life; is conscious about historical development of mathematical notions; X
9 has followed introduction to some mathematical or non-mathematical disciplines after one’s proper choice; had experience to learn selected subjects according to one’s proper arrangement; X
10 masters French language as well as other foreign languages, to a level sufficient to study or work abroad. X
Activities Number Period Total Workload
Class Hours 13 3 39
Working Hours out of Class 13 1 13
Assignments 13 3 39
Presentation 0 0 0
Midterm Examinations (including preparation) 1 10 10
Project 0 0 0
Laboratory 0 0 0
Other Applications 0 0 0
Final Examinations (including preparation) 1 20 20
Quiz 0 0 0
Term Paper/ Project 0 0 0
Portfolio Study 0 0 0
Reports 0 0 0
Learning Diary 0 0 0
Thesis/ Project 0 0 0
Seminar 0 0 0
Other 0 0 0
Make-up 0 0 0
Total Workload 121
Total Workload / 25 4.84
Credits ECTS 5
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