In this course we will introduce you to some of the accounting and financial management techniques that any entrepreneur inside - or outside - an organization needs to successfully launch a new idea.
Learn how to analyze an organization's strategy and make recommendations to improve its value creation by building your strategist's toolkit.
Exploratory and objective data analysis methods applied to the physical, engineering, and biological sciences.
This course is about learning the fundamental computing skills necessary for effective data analysis.
Learn about the most effective data analysis methods to solve problems and achieve insight.
Clinical trials play a pivotal role in evidence-based medicine. This course will discuss the design, conduct, analysis, and interpretation of Phase I-IV clinical studies.
This course will use social network analysis, both its theory and computational tools, to make sense of the social and information networks that have been fueled and rendered accessible by the internet.
An introduction to network analysis and statistical methods used in contemporary Systems Biology and Systems Pharmacology research.
This course teaches a calculus that enables precise quantitative predictions of large combinatorial structures. In addition, this course covers generating functions and real asymptotics and then introduces the symbolic method in the context of applications in the analysis of algorithms and basic structures such as permutations, trees, strings, words, and mappings.
Learn how to think the way mathematicians do - a powerful cognitive process developed over thousands of years.
rgMOOC 2, or "Rhetoric and Composition: The Persuasive Power of Video Games as Paratexts," is a type of gMOOC that applies the principles of connectivism and game-based learning to rhetoric and composition studies. Participants will be playing and writing about video games from various game genres for 10 weeks, and develop rigorous academic research and writing skills through game studies.
This course is an introduction to the key ideas and principles of the collection, display, and analysis of data to guide you in making valid and appropriate conclusions about the world.
The advent of computers transformed science. Large, complicated datasets that once took researchers years to manually analyze could suddenly be analyzed within a week using computer software. Computational biology refers to the use of computers to automate data analysis or model hypotheses in the field of biology.
Ce cours contient les 7 premiers chapitres d'un cours donné aux étudiants bachelor de l'EPFL.