PPT-Computational Methods for Data Analysis

Massimo Poesio INTRO TO MACHINE LEARNING WHAT IS LEARNING Memorizing something Learning facts through observation and exploration Developing motor andor cognitive skills through practice Organizing new knowledge into general effective representations . . SciEnce. through Computational Thinking (DISSECT). Enrico Pontelli. What is NSF?. DISSECT – grant from the National Science Foundation. An independent . federal agency . created . by Congress in 1950 . Job Analysis. Discuss the nature of job analysis, including what it is and how it’s used.. Use at least three methods of collecting job analysis information, including interviews, questionnaires, and observation.. NHGRI strategic plan. What does the NIH think genomics should be for the next 10 years?. [Nature, Feb. 2011]. The Essence of Genomics. (according to NHGRI). Comprehensiveness. . Genomics . aims to generate complete data sets. Although relatively easy to define and measure for a genome sequence, attaining comprehensiveness can be more challenging for other targets (for example, functional genomic elements or the ‘proteome’). Allen Lee. Center for Behavior, Institutions, and the . Environment. https://. cbie.asu.edu. Computational Social Science. Wicked collective action problems. Innovation -> Problems -> . Innovation. research. Dr Liz FitzGerald. Institute of Educational Technology. Research and research methods. Research methods are split broadly into quantitative and qualitative . methods. Which you choose will depend on . Dr. Gemma Moore PhD. Qualitative Evaluation and Research Officer,. Measurement for Improvement Team, Quality Improvement Division, HSE. Outline. . 1. What is Qualitative Research?. 2. Designing Qualitative Projects. Module 14. Overview. Qualitative Research. Broad view of features. Many traditions. Contrasts with quantitative research. Qualtitative. method roadmap. Data collection methods. Standards of evaluation. Jim . Demmel. EECS & Math Departments. www.cs.berkeley.edu/~demmel. 20 Jan 2009. 4 Big Events. Establishment of a new graduate program in Computational Science and Engineering (CSE). “. Multicore. Single . C. ell . RNA-. Seq. Data. Ion . M. ă. ndoiu. Computer . Science & Engineering Department. University of . Connecticut. ion@engr.uconn.edu. Outline. Motivation and . challenges. Locality sensitive imputation. Qualitative Doesn’t Mean Wimpy. H. Russell Bernard. University of Florida . University of Massachusetts-Boston. November 28, 2012. What this talk is about. 1. How social scientists contribute to interdisciplinary research.. KENYATTA UNIVERSITY. SCHOOL . OF. . BUSINESS. MANAGEMENT SCIENCE. . DEPARTMENT. Page . 10. of. . 138. Page . 10. of. . 138. RESEARCH METHODS. . NOTES. BSU . 305 – . RESEARCH. . METHODS. Page . Richard H. Scheuermann, Ph.D.. Director of Informatics. JCVI. Outline. What is Bioinformatics? . Some definitions. Data types and analysis objectives. Big Data. T. he Big Data . value proposition. The Power of Bioinformatics. Vladimir Teif. Intro to NGS analysis. Proficio. course 2020. NGS techniques vs. NGS applications. NGS techniques. : . how. to sequence DNA (or RNA). (covered in lecture 1; funny recap in this video. Using Secondary Analysis . to Research Individual Behaviour. On . the job training and accounting for . endogeneity. using BHPS longitudinal data. Genevieve . Knight and Michael White. July 8 2014. Genevieve Knight .