The day-to-day collaboration between the researchers in Public Health and Biostatistics at the School reveals unified topics that cut across many applications. This series of presentations introduces the topics that show empirically to be most important in these collaborations; and emphasizes concepts over details, through recent applications in Public Health.
Subject:
Mathematics and Statistics, Science and Technology
Presentations from the 2007 Rice University NSF Advance Conference entitled "Negotiating the Ideal Faculty Position" and held March 14-16 are herein made available to the public. This workshop provided a unique opportunity for prospective women faculty to learn from established faculty leaders across all science and engineering disciplines.
Presentations from the 2008 Rice University NSF Advance Conference entitled "Negotiating the Ideal Faculty Position" are herein made available to the public. This workshop provided a unique opportunity for prospective women faculty to learn from established faculty leaders across all science and engineering disciplines.
20. sajandi kunst. 10. klass, IV kooliaste. Kunstiõpetus > Kunstiajalugu > 18.-20. saj kunst. Veebifaili tüüpi tunnikonspekt nelja 20 saj kunstivoolu tutvustamiseks koos viidetega internetis leiduvatele näidetele.
This five-day program on evaluating social programs will provide a thorough understanding of randomized evaluations and pragmatic step-by-step training for conducting one's own evaluation. While the course focuses on randomized evaluations, many of the topics, such as measuring outcomes and dealing with threats to the validity of an evaluation, are relevant for other methodologies. About the Abdul Latif Jameel Poverty Action Lab J-PAL's goal is to reduce poverty by ensuring that policy is based on scientific evidence. Every day, evidence generated by J-PAL researchers is influencing policy and improving lives, sometimes very directly - for example through the scale-up of effective programs- but also in less direct but equally important ways. To date, our evidence has helped improve the lives of at least 30 million people around the world through the scale-up of highly effective policies and programs. By 2013, J-PAL aims to have positively impacted 100 million lives.
"This five-day program on evaluating social programs will provide a thorough understanding of randomized evaluations and pragmatic step-by-step training for conducting one's own evaluation. While the course focuses on randomized evaluations, many of the topics, such as measuring outcomes and dealing with threats to the validity of an evaluation, are relevant for other methodologies. About the Abdul Latif Jameel Poverty Action Lab J-PAL's goal is to reduce poverty by ensuring that policy is based on scientific evidence. Every day, evidence generated by J-PAL researchers is influencing policy and improving lives, sometimes very directly – for example through the scale-up of effective programs – but also in less direct but equally important ways. To date, our evidence has helped improve the lives of at least 30 million people around the world through the scale-up of highly effective policies and programs. By 2013, J-PAL aims to have positively impacted 100 million lives. Technical Requirements: Special software is required to use some of the files in this course: .do, .dta, .jar, .mp4, and .xls."
This course will help to define abnormal and normal behaviors and to group these abnormal phenomena into 'disorders.' It will cover the basic concepts surrounding the diagnosis and treatment of abnormal psychological phenomena. The student will investigate the characteristics, epidemiology, controversy, and treatment of individual disorders. The student will begin by defining normal versus abnormal behavior and reviewing the historical context in which abnormal psychology emerged, then discuss the major theories or paradigms associated with abnormal psychology, the classification system used to differentiate and define disorders, and the research methods often utilized in the study of abnormal psychology. Upon successful completion of this course the student will be able to: describe the historical context from which the current conceptualization of abnormal psychology has evolved; identify and describe the main theoretical perspectives/paradigms which have influenced the field of abnormal psychology; identify and differentiate the classification of psychological disorders; evaluate treatment approaches; explain the major research findings for each group of disorders and how they add to our knowledge of the causes and treatment of psychological disorders. (Psychology 401)
The course treats the following topics: - Relevant physical oceanography - Elements of marine geology (seafloor topography, acoustical properties of sediments and rocks) - Underwater sound propagation (ray acoustics, ocean noise) - Interaction of sound with the seafloor (reflection, scattering) - Principles of sonar (beamforming) - Underwater acoustic mapping systems (single beam echo sounding, multi-beam echo sounding, sidescan sonar) - Data analysis (refraction corrections, digital terrain modelling) - Applications (hydrographic survey planning and navigation, coastal engineering) - Current and future developments.
Provides acoustical background necessary to understand the role of sound in speech communication. Analyzes constraints imposed by the properties of sound and human anatomy on speech production (sound production from airflow and filtering by the vocal tract); auditory physiology (transformation of acoustical waves in the air to mechanical vibrations of cochlear structures); and sound perception (spatial hearing, masking, and auditory frequency selectivity). The Acoustics of Speech and Hearing is an H-Level graduate course that reviews the physical processes involved in the production, propagation and reception of human speech. Particular attention is paid to how the acoustics and mechanics of the speech and auditory system define what sounds we are capable of producing and what sounds we can sense. Areas of discussion include: 1. the acoustic cues used in determining the direction of a sound source, 2. the acoustic and mechanical mechanisms involved in speech production and 3. the acoustic and mechanical mechanism used to transduce and analyze sounds in the ear
"The 16 lectures in this course cover the topics of adaptive antennas and phased arrays. Both theory and experiments are covered in the lectures. Part one (lectures 1 to 7) covers adaptive antennas. Part two (lectures 8 to 16) covers phased arrays. Parts one and two can be studied independently (in either order). The intended audience for this course is primarily practicing engineers and students in electrical engineering. This course is presented by Dr. Alan J. Fenn, senior staff member at MIT Lincoln Laboratory. Online Publication"
In Chiapas, one of the poorest states in Mexico, an estimated 150,000 children are malnourished. To end this problem, governments have implemented food security policies, including food importation and industrial food production. In 2008 alone, Mexico imported 20 million tons of food. While these policies certainly help to remedy the problem in the short term, the massive importation of basic foodstuffs and incentives to industrial agriculture may widen social inequality, threaten health and deteriorate biodiversity and ecosystem services. I will present the objectives and achievements of initiatives born in the highlands of Chiapas to enhance local food production free of hazardous pesticides and appropriate to the culture of the region. Examples include the rescue of local knowledge for food production, a school gardens program and the Network of Producers and Consumers for Healthy Local Food.
The course consists of lectures, readings, discussions, panels of guest speakers, group and individual projects. The purpose of the lectures, readings, discussion and panels of guest speakers is to explore a variety of aspects of adolescence and adolescent health. The group and individual projects are meant to help students develop skills to work in multi-disciplinary teams and analyze adolescent health concerns through conceptual frameworks and recommend effective solutions through interventions.
A first-year graduate course in algorithms. Emphasizes fundamental algorithms and advanced methods of algorithmic design, analysis, and implementation. Data structures. Network flows. Linear programming. Computational geometry. Approximation algorithms.
A first-year graduate course in algorithms. Emphasizes fundamental algorithms and advanced methods of algorithmic design, analysis, and implementation. Data structures. Network flows. Linear programming. Computational geometry. Approximation algorithms. Alternate years.
This course is a first-year graduate course in algorithms. Emphasis is placed on fundamental algorithms and advanced methods of algorithmic design, analysis, and implementation. Techniques to be covered include amortization, randomization, fingerprinting, word-level parallelism, bit scaling, dynamic programming, network flow, linear programming, fixed-parameter algorithms, and approximation algorithms. Domains include string algorithms, network optimization, parallel algorithms, computational geometry, online algorithms, external memory, cache, and streaming algorithms, and data structures.
A comprehensive treatment of the advanced methods of applied mathematics. Designed to strengthen the mathematical abilities of graduate students and train them to think on their own. Review of elementary methods in complex analysis, ordinary differential equations, and partial differential equations. Expansions around regular and irregular singular points; asymptotic evaluation of integrals, regular perturbations; WKB method; multiple scale method; boundary-layer techniques.
This course will present advanced topics in Artificial Intelligence (AI), including inquiries into logic, artificial neural network and machine learning, and the Turing machine. Upon successful completion of this course, students will be able to: define the term 'intelligent agent,' list major problems in AI, and identify the major approaches to AI; translate problems into graphs and encode the procedures that search the solutions with the graph data structures; explain the differences between various types of logic and basic statistical tools used in AI; list the different types of learning algorithms and explain why they are different; list the most common methods of statistical learning and classification and explain the basic differences between them; describe the components of Turing machine; name the most important propositions in the philosophy of AI; list the major issues pertaining to the creation of machine consciousness; design a reasonable software agent with java code. (Computer Science 408)
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