David Adjiashvili: Catalogue data in Autumn Semester 2019

Name Dr. David Adjiashvili
Address
Institut für Operations Research
ETH Zürich, HG G 21.3
Rämistrasse 101
8092 Zürich
SWITZERLAND
E-maildavid.adjiashvili@ifor.math.ethz.ch
DepartmentMathematics
RelationshipLecturer

NumberTitleECTSHoursLecturers
401-0053-00LDiscrete Mathematics Information 4 credits2V + 1UD. Adjiashvili
AbstractIntroduction to foundations of discrete mathematics: combinatorics (elementary counting), graph theory, algebra, and applications thereof.
Learning objectiveThe main goal is to get a good understanding of some of the most prominent areas within discrete mathematics.
401-0647-00LIntroduction to Mathematical Optimization Information 5 credits2V + 1UD. Adjiashvili
AbstractIntroduction to basic techniques and problems in mathematical optimization, and their applications to a variety of problems in engineering.
Learning objectiveThe goal of the course is to obtain a good understanding of some of the most fundamental mathematical optimization techniques used to solve linear programs and basic combinatorial optimization problems. The students will also practice applying the learned models to problems in engineering.
ContentTopics covered in this course include:
- Linear programming (simplex method, duality theory, shadow prices, ...).
- Basic combinatorial optimization problems (spanning trees, shortest paths, network flows, ...).
- Modelling with mathematical optimization: applications of mathematical programming in engineering.
LiteratureInformation about relevant literature will be given in the lecture.
Prerequisites / NoticeThis course is meant for students who did not already attend the course "Mathematical Optimization", which is a more advance lecture covering similar topics. Compared to "Mathematical Optimization", this course has a stronger focus on modeling and applications.