Courses tagged with "Beams" (49)

What makes bioinformatics education exciting is that people of a variety of education levels can get started quickly, with just a computer and internet access.

Learn core distributed computing concepts that underlie today’s and tomorrow’s cloud computing systems.

This is the second course in a two-part series on bioinformatics algorithms, covering the following topics: evolutionary tree reconstruction, applications of combinatorial pattern matching for read mapping, gene regulatory analysis, protein classification, computational proteomics, and computational aspects of human genetics.

Are you interested in learning how to program (in Python) within a scientific setting? This course will cover algorithms for solving various biological problems along with a handful of programming challenges helping you implement these algorithms in Python. It offers a gentler-paced alternative to the first course in our Bioinformatics Specialization (Finding Hidden Messages in DNA).

Learn how to take scattered data and organize it into groups for use in many applications, such as market analysis and biomedical data analysis, or as a pre-processing step for many data mining tasks.

Learn how to transform information from a format efficient for computation into a format efficient for human perception, cognition, and communication. Explore elements of computer graphics, human-computer interaction, perceptual psychology, and design in addition to data processing and computation.

Learn how to use the cloud and write programs for data analytics.

本課程教授BIM技術應用的基本知識及發展潛力，重點放在如何應用BIM資訊模型於實務工程中，包括設計衝突之檢討、工程數量之估算、工程進度之管理等應用。

Learn core distributed computing concepts that underlie today’s and tomorrow’s cloud computing systems.