From 2 November 2020, the autumn semester 2020 will take place online. Exceptions: Courses that can only be carried out with on-site presence.
Please note the information provided by the lecturers via e-mail.

Search result: Catalogue data in Autumn Semester 2017

MAS in Management, Technology, and Economics Information
MAS MTEC Introductory Event for 1st Semester Students.
01.09.2017, 18:00 - 20:00, Dozentenfoyer ETH Zurich, main campus, HG J
3. Semester
Core Courses
Quantitative and Qualitative Methods
NumberTitleTypeECTSHoursLecturers
363-0305-00LEmpirical Methods in Management Information W+3 credits2GF. von Wangenheim
AbstractEvidence-based management requires valid empirical research. In this course, students will learn the basics of research design, fundamentals of data collection and statistical methods to analyze the data acquired in social science research. Students are expected to apply their knowledge in class discussions and out-of-class assignments.
Objective- Ability to formulate research questions and designing an appropriate study
- Ability to collect and analyze data using a variety of methods
- Ability to critically assess the quality of empirical research in management
- Applied knowledge of empirical methods through out-of-class assignments
Content1) Introduction to empirical management research
2) Research designs: exploratory, descriptive, experimental
3) Measurement and scaling
4) Data collection and sampling
5) Data analysis methods
6) Reporting and presenting empirical research
Prerequisites / NoticeAssignments and projects: This course includes out-of-class assignments and projects to give students some hands-on experience in conducting empirical research in management. Projects will focus on one particular aspect of empirical research, like the formulation of a research question or the design of a study. Students will have at least one week to work on each assignment. Students are expected to work on these assignments individually. Duplicate answers will receive no credit and will be subject to a disciplinary review. Assignments will be graded and need to be turned-in on time.

Class participation: Class participation is encouraged and can greatly improve students' learning in this class. In this spirit, students are expected to attend class regularly and come to class prepared.
363-1004-00LOperations ResearchW+3 credits2GM. Laumanns
AbstractThis course provides an introduction to operations research methods in the fields of management science and economics. Requisite mathematical concepts are introduced with a practical, problem-solving perspective.
Objective- Introduction to building and using quantitative models in a business / industrial environment
- Introduction to basic optimization techniques (Linear Programming and extensions, network flows, integer programming, dynamic and stochastic optimization)
- Understanding the integration of quantitative models into the managerial decision process
ContentThe following topics are covered: Systems and models, linear models and the importance of linear programming, duality theory and shadow prices, integer programming, optimization under uncertainty and applications in inventory management.
Lecture notesA printed script will be made available.
LiteratureAny standard textbook in Operations Research is a useful complement to the course.
Prerequisites / NoticeUndergraduate calculus, linear algebra, probability and statistics are a prerequisite.
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