Course Identification
Graph Theory and Applications
Lecturers and Teaching Assistants
Prof. Ehud Friedgut
Course Schedule and Location
Tuesday, 11:15 - 14:00, Ziskind, Rm 155
08/11/2022
Field of Study, Course Type and Credit Points
Mathematics and Computer Science: Lecture; Elective; Regular; 3.00 points
Attendance and participation
Scheduled date 1
08/03/2023
Scheduled date 2
30/03/2023
Estimated Weekly Independent Workload (in hours)
Syllabus
We will cover a subset of the following. Basic definitions and parity arguments, Sperner's lemma; Borsuk-Ulam theorem; Hamilton and Euler circuits; trees: Cayley's theorem and the matrix-tree theorem; Flows and matchings: mincut-maxflow, Hall's theorem, Tutte's theorem; Connectivity: Menger. ; Planarity, Euler's formula. Applications to combinatorial geometry; Extremal graph theory: Turan's theorem, Erdos-Stone, Szemeredi's Regularity Lemma and applications; Random graphs and applications. Algebraic graph theory and spectral graph theory.
Learning Outcomes
Upon successful completion of this course students should be able to:
[1] Describe the basic notions of graph theory.
[2] Discuss many of the elements of the cutting edge of modern research in the field of graph theory.
[3] Demonstrate familiarity with some striking examples of the applications of graph theory in topology, number theory, combinatorial geometry and other fields.