Network

We invite you to a fascinating journey into Graph Theory — an area which connects the elegance of painting and the rigor of mathematics; is simple, but not unsophisticated. Graph Theory gives us, both an easy way to pictorially represent many major mathematical results, and insights into the [...]

The third course of the specialization CREATING INNOVATION will teach you what is at the core of all innovations that solve complex problems and how to foster methods to make big breakthroughs possible. It advances your knowledge of your own field by teaching you to look at it in [...]

At the completion of this course, the student should be able to: demonstrate knowledge and understanding of the fundamentals of information theory; appreciate the notion of fundamental limits in communication systems and more generally all systems; develop deeper understanding of communication systems; apply the concepts of information theory to [...]

本课程是北京大学开设的一门在线跨学科选修课程，主要面向信息技术、社会学和经济学等专业的本科生。课程内容涉及用计算思维的方法讨论社会学和经济学的一些经典问题。学习运用计算思维分析社会学、经济学问题的方法，加深对某些生活现象的理解，体会计算与社会科学的互动。

Throughout the course you will apply what you learn with hands-on labs. From getting started with Docker, to orchestration and scaling with Kubernetes, and simplifying deployments with OpenShift. The labs are performed using your web browser on IBM Cloud and Skills Network Labs environments, that are made available to [...]

In this MOOC, we learn RBAC and ABAC access control to facilitate the specification and management of access policies. We learn examples of how RBAC is supported by modern systems such as Docker and AWS IAM. We learn XACML 3.0 and an ABAC implementation for controling secure access [...]

In this course, you will learn strategies not only on how to communicate effectively but also how to strengthen your relationships with co-workers and other stakeholders from diverse cultural backgrounds, both inside and beyond the organisation. In particular, "Strengthening your widening network" aims to equip you with a workplace [...]

An introduction to data integration and statistical methods used in contemporary Systems Biology, Bioinformatics and Systems Pharmacology research. The course covers methods to process raw data from genome-wide mRNA expression studies (microarrays and RNA-seq) including data normalization, differential expression, clustering, enrichment analysis and network construction. The course contains practical [...]

In this course we briefly introduce the DCIC and the various Centers that collect data for LINCS. We then cover metadata and how metadata is linked to ontologies. We then present data processing and normalization methods to clean and harmonize LINCS data. This follow discussions about how data is [...]