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Algorithms, Data Structures and Computability, Short Course - Part time online by The Open University UK, United Kingdom - ShortCoursesPortal.com. Bioinformatics, M.Sc. - Online by New York University, United States. About The program meets industry's demand for professionals with solid foundations in genomics, proteomics, Perl and BioPerl, R and BioConductor, MySQL, sequence and pathway analysis, as well as a host of genome informatics tools and algorithms such as BLAST.
Students who earn a Bioinformatics Advance Certificate may apply those credits towards the Bioinformatics Master's Degree. Note that only 9 credits from the Advance Certificate can be used towards the Bioinformatics Master Degree program. Accreditation New York University is accredited by the Middle States Commission on Higher Education. Our Master’s and Graduate Certificate programs are registered by the New York State Education Department.
Programme Structure Courses included: Data Science for the Internet of Things (IoT), Short Course - Part time at University of Oxford, Oxford, United Kingdom - ShortCoursesPortal.com. About The course takes a problem solving approach and uses specific case studies from industry.
Participants are expected to have a mind-set of exploration and to study and learn beyond the class material itself (depending on their existing familiarity with the subject matter). A limited number of participants ensures that all those taking this course gain the maximum possible value. All participants finishing the Data Science for IoT course will receive a University of Oxford certificate showing that they have completed the course.
Programme Structure principles/foundationsProduct Development Data Science IoT Verticals Programming Statistics Time Series Deep Learning Real Time IoT Data Visualization Methodology – putting it all together. Search Online Courses Worldwide - DistanceLearningPortal.com. Links Data Science courses. Data Science, Technology and Innovation, Postgrad.Cert. - Part time online by The University of Edinburgh, United Kingdom. Courses: Advanced Vision (Provisional) This builds on the introductory computer vision material taught in Introduction to Vision and Robotics, giving students a deep understanding of main concepts in imaging and machine vision by constructing several vision systems.
Social Shaping of Digital Research This will provide a theoretical framework for understanding the functioning of the human infrastructure (e.g. technicians and scientific users) that is required to sustain digital research tools and methods. Practical Introduction to Data Science This is a practical introduction to data science from a computational perspective, giving a broad introduction across the field while also supplying hands-on skills in basic programming methods. Practical Introduction to High Performance Computing This covers all the fundamental concepts that underpin modern high performance computing allowing students to explore the concepts by running parallel programs on real HPC systems. Engaging with Digital Research.
Algorithms and Data Structures, Short Course - Part time online by International Telematic University UNINETTUNO, Italy - ShortCoursesPortal.com. About The purpose of this course is to introduce students to the topics of data structures and algorithm design along with their respective applications.
The topics that will be covered are: Algorithms AnalysisSorting AlgorithmsAlgorithmic ParadigmsGraphsIntractable problems The use of data structures in programming languages and relevant aspects of data and file management will be illustrated by using a high level language. How to get Credits (European Credits Transfer System) with Uninettuno MOOC Programme Structure Courses included Lecturers. Presenting Complex Information, Short Course - Part time online by Purdue NExT, United States - ShortCoursesPortal.com. About Purdue NExT courses are taken fully online.
They are self-paced, and incorporate multiple forms of media typically. Most are part of a series, but each can be taken as a stand-alone course. Learners will view short pre-recorded instruction videos, participate in interactive learning activities for application, have the ability to engage with faculty and peers in courses and check application of skills developed through assignments and quizzes. Students in this course will have the opportunity to develop presentations in their own interest areas that reflect best practices in the organization, design, and delivery of presentations.
Students will Learn: To examine different strategies for presenting complex informationTo review methods for analyzing and adapting information for different audiencesTo discuss content organizational strategiesTechniques for developing presentation slides and visual informationHow to describe techniques for improving presentation delivery.