Search result: Catalogue data in Autumn Semester 2017

Number	Title	Type	ECTS	Hours	Lecturers
MAS in Management, Technology, and Economics MAS MTEC Introductory Event for 1st Semester Students. 01.09.2017, 18:00 - 20:00, Dozentenfoyer ETH Zurich, main campus, HG J
1. Semester
Core Courses
Information Management, Operations Management
363-0445-00L	Production and Operations Management	W+	3 credits	2G	T. Netland
Abstract	This core course on Production and Operations Management provides the students insights into the basic theories, principles, concepts, and techniques used to design, analyze, and improve the operational capabilities of an organization.
Learning objective	This POM core course provides students a broad theoretical basis for understanding, analyzing, designing, and improving operations. After completing this course: 1. Students can apply key concepts of operations strategy for analyzing production processes. 2. Students can conduct basic process mapping analysis and elaborate the limitations of the chosen method. 3. Students can calculate the needed capacity for production and service operations. 4. Students can select and use problem solving tools and methods. 5. Students can select and use the basic tools of lean thinking to improve the productivity of production and service operations. 6. Students can explain how new technologies and servitization affect production and operations management. 7. Additional skills: Students acquire experience in teamwork, report writing and presentation.
Content	The course covers the most fundamental strategic and tactical concepts in production and operations management. The lectures cover: Introduction to POM; Operations strategy; Capacity management; Production planning and control; Lean management; Performance measurement; Problem solving; Service operations and servitization; New technologies in POM.
Literature	Paton, S.; Clegg, B.; Hsuan, J.; Pilkington, A. (2011) Operations Management, 1st ed., McGraw Hill.
363-0421-00L	Mastering Digital Business Models Number of participants limited to 100	W+	3 credits	2G	E. Fleisch
Abstract	This lecture provides a theory- and practice-based understanding of how today's information technologies enable new digital business models and disrupt existing markets.
Learning objective	A. After the lecture, the student is able to evaluate digital business models from different angels, including theory-based views: - Definition and classification of business models - Digital business model patterns - Theoretical frameworks that explain why and how digital business models function - Impact of digital business model patterns on P&L and balance sheet Students know how to measure & evaluate investments into the digital space as - a decision maker in an established company (should I invest in project A or B?) - an entrepreneur (should I pursue this venture?) - an investor (should I invest in start-up xy?) B. The student knows different tools to design digital business model patterns.
Content	Uber, Airbnb, Nest and Jawbone - A wide range of innovative companies exist, which successfully implemented ICT enabled business models and continue to grow at a rapid pace. Examples, illustrating how digitalization, including the "Internet of Things" currently fosters business model innovation across various industries. This course is designed to help students to understand and critically assess such newly immerging (digital) business models. For the lecture students will get access to one of the leading online teaching platforms (called edX) also offered by other top universities (incl. MIT, Harvard, Berkeley, etc.). Using the edX platform, will allow students to collaborate in online discussions, solve online exercises and present a short educational video as part of a group project. Key Topics: Business model innovation; (digital) business model patterns; business value of IT; the concept of integration; transaction cost perspective; network economics perspective; essentials and impact of web 2.0, internet of things, mobile computing, market places, social analytics and big data; IT governance and portfolio management; entrepreneurship in the digital space, etc.

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