Lecture

Design Thinking and Business Models

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In course

MGT-555: Innovation & entrepreneurship in engineering

This course is a joint initiative between the School of Engineering and the College of Management to encourage and promote entrepreneurship and management skills, engineering design, hands-on experience, teamwork, and awareness of social and ethical implic ...

Description

This lecture explores the concepts of design thinking and business models, focusing on the process of innovation and value creation. It covers the steps involved in design thinking, such as empathizing, ideating, prototyping, and testing. Additionally, it delves into the importance of business models as a tool to express the logic of a firm and create, deliver, and capture value. The lecture also discusses the evolution of business models over time, from traditional approaches to modern innovations, and provides insights into the key resources, revenue streams, and delivery channels that shape successful business models.

Instructors (2)

Véronique Michaud

Background: 1994 Habilitation à diriger des recherches ( INPG, France) 1991 PhD in Materials Engineering ( MIT, USA) 1987 Ingénieur Civil des Mines ( Ecole des Mines de Paris, France) Activities: Since January 2018: Associate Dean of Engineering, in charge of Education June 2012-Dec.2017: Head of the Materials Science and Engineering Section Since April 2017: Associate Professor at EPFL 2009-2017 : Professeur Titulaire at EPFL 1997-2009: Researcher at EPFL 1994-1997 : Chef de Travaux au laboratoire MSS-MAT, Ecole Centrale Paris (France) 1991-1994 : Post-doctoral research associate, MIT (USA) Author of about 300 publications of which 140 in peer-reviewed journals

Thomas Alois Weber

Expertise

Credit collections - Decision making under risk - Economics (behavioral, environmental, theory) - Engineering economy - Investment criteria - Nonlinear systems - Optimal control - Risk - Sharing economy Expertise
Credit collections - Decision making under risk - Economics (behavioral, environmental, theory) - Engineering economy - Investment criteria - Nonlinear systems - Optimal control - Risk - Sharing economy Teaching & PhD PhD Students Ru Zhang Past EPFL PhD Students Maryam Razeghian Jah

Official source

Ontological neighbourhood

Computer engineering

Software development: Software development process

Related concepts (32)

Software testing

Software testing is the act of examining the artifacts and the behavior of the software under test by validation and verification. Software testing can also provide an objective, independent view of the software to allow the business to appreciate and understand the risks of software implementation. Test techniques include, but are not necessarily limited to: analyzing the product requirements for completeness and correctness in various contexts like industry perspective, business perspective, feasibility and viability of implementation, usability, performance, security, infrastructure considerations, etc.

Acceptance testing

In engineering and its various subdisciplines, acceptance testing is a test conducted to determine if the requirements of a specification or contract are met. It may involve chemical tests, physical tests, or performance tests. In systems engineering, it may involve black-box testing performed on a system (for example: a piece of software, lots of manufactured mechanical parts, or batches of chemical products) prior to its delivery.

Unit testing

In computer programming, unit testing is a software testing method by which individual units of source code—sets of one or more computer program modules together with associated control data, usage procedures, and operating procedures—are tested to determine whether they are fit for use. It is a standard step in development and implementation approaches such as Agile. Before unit testing, capture and replay testing tools were the norm. In 1997, Kent Beck and Erich Gamma developed and released JUnit, a unit test framework that became popular with Java developers.

Integration testing

Integration testing (sometimes called integration and testing, abbreviated I&T) is the phase in software testing in which the whole software module is tested or if it consists of multiple software modules they are combined and then tested as a group. Integration testing is conducted to evaluate the compliance of a system or component with specified functional requirements. It occurs after unit testing and before system testing.

System testing

System testing is testing conducted on a complete integrated system to evaluate the system's compliance with its specified requirements. System testing takes, as its input, all of the integrated components that have passed integration testing. The purpose of integration testing is to detect any inconsistencies between the units that are integrated together (called assemblages). System testing seeks to detect defects both within the "inter-assemblages" and also within the system as a whole.

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