Algebraic Number Theory (MATH542) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Algebraic Number Theory MATH542 Area Elective 3 0 0 3 5
Pre-requisite Course(s)
N/A
Course Language English
Course Type Elective Courses
Course Level Ph.D.
Mode of Delivery Face To Face
Learning and Teaching Strategies Lecture, Question and Answer.
Course Coordinator
Course Lecturer(s)
Course Assistants
Course Objectives This course is designed to give the essential elements of algebraic number theory.
Course Learning Outcomes The students who succeeded in this course;
  • understand the main theorems in algebraic number theory
  • define and construct examples of number theoretic structures given in the content of the course
  • be able to apply the main theorems of algebraic number theory
  • be able to reproduce simple proofs of some theorems in algebric number theory.
Course Content Integers, norm, trace, discriminant, algebraic integers, quadratic integers, Dedekind domains, valuations, ramification in an extension of Dedekind domains, different, ramification in Galois extensions, ramification and arithmetic in quadratic fields, the quadratic reciprocity law, ramification and integers in cyclotomic fields, Kronecker-Weber the

Weekly Subjects and Releated Preparation Studies

Week Subjects Preparation
1 Integers, Norm, Trace
2 Discriminant, Algebraic integers,
3 Quadratic integers, Dedekind domains
4 Dedekind domains, Valuations
5 Ramification in an extension of Dedekind domains,
6 Different, Ramification in Galois extensions
7 Ramification and arithmetic in quadratic fields,
8 Quadratic Reciprocity Law
9 Ramification and integers in cyclotomic fields
10 The Kronecker-Weber Theorem on Abelian extensions
11 The Dirichlet’s Theorem on the finiteness of the class group
12 The Dirichlet’s Theorem on units
13 Hermite-Minkowski Theorem
14 Fermat’s Last Theorem.
15 Review
16 Final Exam

Sources

Course Book 1. Algebraic Number Theory, I.N. Stewart and D.O. Tall, Chapman & Hall, 1995
Other Sources 2. Algebraic Number Fields, Gerald J. Janusz, AMS,1996
3. Number Theory: Algebraic Numbers and Functions, H.Koch, AMS,2005

Evaluation System

Requirements Number Percentage of Grade
Attendance/Participation - -
Laboratory - -
Application - -
Field Work - -
Special Course Internship - -
Quizzes/Studio Critics - -
Homework Assignments 5 30
Presentation - -
Project - -
Report - -
Seminar - -
Midterms Exams/Midterms Jury 1 30
Final Exam/Final Jury 1 40
Toplam 7 100
Percentage of Semester Work 60
Percentage of Final Work 40
Total 100

Course Category

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

The Relation Between Course Learning Competencies and Program Qualifications

# Program Qualifications / Competencies Level of Contribution
1 2 3 4 5
1 Is independently able to build a problem in the area of study, solve the problem by developing solution techniques and assess the solutions. X
2 Is capable of creating a groundwork in the fundamental branches of mathematics as well as in his/her research area X
3 follows the latest national and international literature in Mathematics and in his/her area of research; and uses them in his/her related studies X
4 observes and adopts the scientific ethical values in his/her professional and social life X
5 presents in Turkish and English in academic/scientific events the results of his/her research or the latest studies and findings on a special topic and participates in discussions X
6 Develops skills to work independently or as a member of a team X
7 Develops competences in the areas of creative and critical thinking, problem solving and producing original studies. Follows recent scientific studies, is capable of making an analysis, synthesis and assessment of the knowledge acquired X
8 Is open to lifelong improvement of his/her acquired knowledge, skills and competences. X
9 Is able to apply the acquired knowledge and problem-solving skills to interdisciplinary studies, proposes different solution methods to problems in terms of mathematical models and from a mathematical point of view X
10 Uses the mathematical based softwares, informatics and communication technologies for scientific purposes X

ECTS/Workload Table

Activities Number Duration (Hours) Total Workload
Course Hours (Including Exam Week: 16 x Total Hours) 16 3 48
Laboratory
Application
Special Course Internship
Field Work
Study Hours Out of Class 14 3 42
Presentation/Seminar Prepration
Project
Report
Homework Assignments 5 3 15
Quizzes/Studio Critics
Prepration of Midterm Exams/Midterm Jury 1 10 10
Prepration of Final Exams/Final Jury 1 10 10
Total Workload 125