Miracle-dz/UniFAR-FTUs huggingface dataset:
Science in the Age of Computer Simulation

Computer simulation was first pioneered as a scientific tool in meteorology and nuclear physics in the period following World War II, but it has grown rapidly to become indispensible in a wide variety of scientific disciplines, including astrophysics, high-energy physics, climate science, engineering, ecology, and economics. Digital computer simulation helps study phenomena of great complexity, but how much do we know about the limits and possibilities of this new scientific practice? How do simulations compare to traditional experiments? And are they reliable? Eric Winsberg seeks to answer these questions in Science in the Age of Computer Simulation. Scrutinizing these issue with a philosophical lens, Winsberg explores the impact of simulation on such issues as the nature of scientific evidence; the role of values in science; the nature and role of fictions in science;and the relationship between simulation and experiment, theories and data, and theories at different levels of description. Science in the Age of Computer Simulation will transformmanyof the core issues in philosophy of science, as well as our basic understanding of the role of the digital computer in the sciences.
The Semantics of Degree

Course requirements Students are expected to do the assigned readings and to participate fully in the classroom discussion. Students will also be required to write a research paper for the course. The topic should be selected in consultation with the instructors no later than the tenth week of the course. During the final week of classes, we will have a research seminar in which students will present the results of their research.
Increasing Learning in Introductory Geoscience Courses Using Lecture Tutorials

Students often leave introductory geoscience courses without learning the scientific perspective, and we developed Lecture Tutorials to help alleviate this problem. Lecture Tutorials are 10–20 minute interactive worksheets that students complete in small groups in class after a short introductory lecture. They are specifically designed to combat alternative conceptions and increase learning on difficult topics. Our study shows that Lecture Tutorials increase student learning in the classroom more than just lecture alone. On related multiple choice questions asked before and after the Lecture Tutorial (but after a short lecture on the topic), student scores increased 19%. When a subset of these questions was given before and after an extended lecture instead of a Lecture Tutorial, student scores did not increase by a statistically significant amount. On the multiple choice assessment questions given on exams relating to the information covered in the Lecture Tutorials, students who completed the Lecture Tutorials scored significantly higher than students who heard just lecture. In addition, students feel that they are an important and useful part of their learning experience. Lecture Tutorials are being disseminated and are available for instructor use.
Kepemimpinan Dalam Organisasi

Buku yang mengkombinasikan antara teori dan praktik, yang memungkinkan pembaca menjadi terampil di bidang kepemimpinan organisasi yang efektif. Temukan alasan mengapa banyak para pakar yang menjadikan buku ini sebagai sumber acuan utama ketika mencari dan mengalami topik mengenai kepemimpinan. Beberapa keunggulan pada Edisi 5: Baru! Menyatukan berbagai topik, seperti: pemberdayaan, kepemimpinan tim, isu-isu etik, isu jender dalam kepemimpinan, kepemimpinan lintas budaya, dan perluasan peran manajemen. Lebih Lengkap! Kini menampilkan 15 bab, yang membahas konsep-konsep dasar dan semua isu serta informasi menyangkut kepemimpinan, tanpa mengubah format dan kualitas edisi sebelumnya. Studi kasus yang disajikan pada setiap akhir bab menuntun pembaca bagaimana menerapkan konsep kepemimpinan dalam organisasi dalam situasi nyata. Sarat dengan muatan pedagogis karena memasukkan tujuan-tujuan pembelajaran dan daftar istilah kunci dalam setiap bab. Entah anda pemimpin pada poros atas, poros tengah, atau poros bawah sebuah organisasi: buku ini sangat penting dijadikan acuan. Demikian pula pengikut, perlu mempelajarinya dengan seksama. Mengapa? Sebab kepemimpinan masa kini dan masa depan tidak lagi tergantung pada satu orang pemimpin - minimal pemimpin untuk dirinya sendiri. Suatu saat, peran itu pasti dialami siapa pun dalam sebuah organisasi, terutama ketika situasi menuntut kepemimpinan partisipatif.
Development of an Individualized Computer Training Model for Classroom Teachers.

This study was designed to develop a practical, effective model of computer training for classroom teachers. The hypothesis was that a model of computer training which is highly individualized, provides hands-on learning, and occurs in stages would be successful in increasing the skill and comfort level of teachers. The study occurred in an elementary school (K-5) in a semi-rural area of central Virginia and included a sample of six teachers from a variety of grade levels who needed basic computer instruction. Two individualized training sessions and one follow-up session were offered for each teacher based on pre-assessed needs. The training occurred during regular school hours, an arrangement made possible by providing teachers with substitutes for their classrooms. Quantitative and qualitative data revealed an increase in teachers skill and comfort levels using the computer and a strong teacher preference for this type of individualized training. Appendixes contain the preand post-assessment instruments, training evaluation form, sample lesson plan, and class schedule. (Author/ND) ********************************************************************* Reproductions supplied by EDRS are the best that can be made from the original document. *********************************************************************** Development of an Individualized Computer Training Model for Classroom Teachers Suzannah McNamara and Michelle L. Pedigo The Curry School of Education University of Virginia VEN41! :,YEDN TO REPRODUCE THV. , MATERIAL H40' BEEN GRANTED Eis/ rO OE f 110E,AT1()NAl HP-)Ol.11,E NF(,1+MAT.()N NTFP, . E "; L/f PAHT",,FNT ()t. 1 . ()OlA11C1N ATI(1NAL Ir4F(JHMATION N4TF HIE ril(. 0 LJ t
Foundations And Methods Of Stochastic Simulation A First Course International Series In Operations Research Management Science

Stochastic RelationsMolecular DynamicsStochastic Methods in EngineeringApplied Stochastic AnalysisStochastic Simulation and Monte Carlo MethodsMonte Carlo Methods in Financial EngineeringOn the Theoretical Foundations of Stochastic Reduced Basis MethodsStochastic Networked Control SystemsFoundations of Stochastic AnalysisTrends in Stochastic AnalysisWeak Convergence Methods and Singularly Perturbed Stochastic Control and Filtering ProblemsStochastic Algorithms: Foundations and ApplicationsOptimization Under Stochastic UncertaintySimulation and the Monte Carlo MethodFoundations and Methods of Stochastic SimulationStochastic Simulation: Algorithms and AnalysisStochastic ProcessesA Stochastic Grammar of ImagesMethods and Models in Mathematical BiologyFoundations of Data ScienceStochastic ModelingStochastic Optimization MethodsFoundations of Stochastic Inventory TheoryMethods of Mathematical FinanceStochastic Simulation and Applications in Finance with MATLAB ProgramsStochastic SystemsStochastic CalculusFundamentals of Stochastic FilteringFoundations of Constructive Probability TheoryConvex OptimizationStochastic Processes in Cell BiologyStochastic Local SearchFoundations of Synergetics IHandbook of Stochastic Methods for Physics, Chemistry, and the Natural SciencesStochastic Algorithms: Foundations and ApplicationsFoundations of Machine Learning, second editionFoundations and Methods of Stochastic SimulationEssentials of Stochastic FinanceFoundations of Deterministic and Stochastic ControlStochastic Epidemic Models and Their Statistical Analysis
Science Instruction in the Middle and Secondary Schools: Developing Fundamental Knowledge and Skills

Part One: Getting into Science Teaching Quickly Chapter One Thoughts and Actions of Beginning Science Teachers Chapter Two The Purpose of Teaching Science Chapter Three Planning to Teach Science Chapter Four Assessing Science Learning Chapter Five Teaching Science Chapter Six The Science Learning Environment Part Two: Background for Science Teaching Chapter Seven The Nature of Science Chapter Eight Inquiry and Teaching Science Chapter Nine Diverse Adolescent Learners and Their Schools Chapter Ten Learning in Middle Grades and Secondary Schools Part Three Strategies for Science Teaching Chapter Eleven Discussion, Demonstration, and Lecture Chapter Twelve Science, Technology, and Society Chapter Thirteen Laboratory Work and Fieldwork Chapter Fourteen Safety in the Laboratory and Classroom Chapter Fifteen Computers and Electronic Technologies Appendices A Little Science Puzzlers B Science Demonstrations C Science Laboratory Activities D Scoring Key for Science Teaching Inventory Found in Chapter One
Wavelet Neural Networks: With Applications in Financial Engineering, Chaos, and Classification

A step-by-step introduction to modeling, training, and forecasting using wavelet networksWavelet Neural Networks: With Applications in Financial Engineering, Chaos, and Classification presents the statistical model identification framework that is needed to successfully apply wavelet networks as well as extensive comparisons of alternate methods. Providing a concise and rigorous treatment for constructing optimal wavelet networks, the book links mathematical aspects of wavelet network construction to statistical modeling and forecasting applications in areas such as finance, chaos, and classification.The authors ensure that readers obtain a complete understanding of model identification by providing in-depth coverage of both model selection and variable significance testing. Featuring an accessible approach with introductory coverage of the basic principles of wavelet analysis, Wavelet Neural Networks: With Applications in Financial Engineering, Chaos, and Classification also includes: Methods that can be easily implemented or adapted by researchers, academics, and professionals in identification and modeling for complex nonlinear systems and artificial intelligence Multiple examples and thoroughly explained procedures with numerous applications ranging from financial modeling and financial engineering, time series prediction and construction of confidence and prediction intervals, and classification and chaotic time series prediction An extensive introduction to neural networks that begins with regression models and builds to more complex frameworks Coverage of both the variable selection algorithm and the model selection algorithm for wavelet networks in addition to methods for constructing confidence and prediction intervalsIdeal as a textbook for MBA and graduate-level courses in applied neural network modeling, artificial intelligence, advanced data analysis, time series, and forecasting in financial engineering, the book is also useful as a supplement for courses in informatics, identification and modeling for complex nonlinear systems, and computational finance. In addition, the book serves as a valuable reference for researchers and practitioners in the fields of mathematical modeling, engineering, artificial intelligence, decision science, neural networks, and finance and economics.
A Self-Study of the Use of Concept Mapping to Assess NOS

Bu calisma bilimin dogasini ogretmek uzere kendi pedagojik alan bilgimizi inceledigimiz ve gelistirdigimiz bir oz-inceleme (self-study)calismasidir. Bu calismada bir ilkogretim fen ogretimi yontemleri dersinde fen bilgisi ogretmen adaylarinin bilimin dogasi ile ilgili anlayislarini degerlendirmek uzere kullanilan kavram haritalarinin iki farkli kullanim seklini kesfettik. Katilimcilari iki gruba ayirdik. 1. Gruba kavram haritalarini olustururken bilimin dogasinin yonlerini baslangic noktasi olarak almalari, 2. gruba isekendi “bilim” kavramlarini olusturmalari soylendi. Calisma sonunda bulgular 1. grupta yer alan katilimcilara verilen bilimin dogasi yonlerinin baglantilari kurmakta onlarin isini zorlastirdigini gosterdi. Diger yandan, 2. grup iliskili kelimeleri bulmakta zorluk cekti. Bu bulgulara dayanarak her iki kavram haritasi olusturma yonteminin farkli degerlendirme amaclariyla kullanilabilecegi ve bilimin dogasi ogretiminin farkli asamalarinda ise yarar oldugunu soyleyebiliriz
From Grammar to Meaning: The Spontaneous Logicality of Language

In recent years, the study of formal semantics and formal pragmatics has grown tremendously showing that core aspects of language meaning can be explained by a few principles. These principles are grounded in the logic that is behind - and tightly intertwined with - the grammar of human language. In this book, some of the most prominent figures in linguistics, including Noam Chomsky and Barbara H. Partee, offer new insights into the nature of linguistic meaning and pave the way for the further development of formal semantics and formal pragmatics. Each chapter investigates various dimensions in which the logical nature of human language manifests itself within a language and/or across languages. Phenomena like bare plurals, free choice items, scalar implicatures, intervention effects, and logical operators are investigated in depth and at times cross-linguistically and/or experimentally. This volume will be of interest to scholars working within the fields of semantics, pragmatics, language acquisition and psycholinguistics.
Explicit Instruction on Rhetorical Patterns and Student-Constructed Graphic Organizers: The Impact on Sixth-Grade Students' Comprehension of Social Studies Text

Title of Dissertation: EXPLICIT INSTRUCTION ON RHETORICAL PATTERNS AND STUDENT-CONSTRUCTED GRAPHIC ORGANIZERS: THE IMPACT ON SIXTHGRADE STUDENTS‟ COMPREHENSION OF SOCIAL STUDIES TEXT Deborah Beth Scott, Doctor of Philosophy, 2011 Dissertation Directed By: Dr. Mariam Jean Dreher Department of Curriculum and Instruction Using a pretest, posttest two group design, this study investigated the effect of explicit instruction on rhetorical patterns and using those patterns to represent the content graphically on sixth-grade students‟ ability to comprehend social studies text. Students in 13 classes from four middle schools in Pennsylvania received either explicit instruction in identifying rhetorical patterns found in social studies textbooks and representing that text graphically or routine social studies instruction. Routine social studies instruction was identified as the instructional activities documented during observations conducted six weeks prior to the intervention. When the intervention began, intervention group students learned to identify rhetorical patterns, construct graphic organizers using the rhetorical patterns, and write summaries of textbook content. Comparison group students continued with routine social studies instruction. All students were assessed with (a) preand posttests in which they constructed graphic organizers and wrote summaries using social studies passages and (b) comprehension quizzes during on-going instruction. Randomly selected students from each group engaged in think-aloud tasks at the end of the study. The preand posttests results indicated a statistically significant interaction between time and group for both graphic organizer construction (with a very large effect size) and summary writing (with a moderate effect size). Intervention group students outperformed students in the routine social studies group in both constructing graphic organizers based on rhetorical patterns and writing complete summaries. For the comprehension quizzes, students receiving routine social studies instruction outperformed students in the intervention group when answering multiple-choice and essay questions requiring recall of content. Think-aloud responses demonstrated that students in the intervention group were able to graphically represent social studies textbook content using rhetorical patterns as well as transfer that knowledge to a textbook from a different domain while students in the comparison group recognized there was a structure to the content of the text but did not accurately represent that content graphically according to the appropriate rhetorical pattern. Observational data showed intervention students were more engaged with graphic organizers and work samples demonstrated they were able to identify key information in the text and represent it in
Improved stochastic LDPC decoder for correcting both channel-induced transmission errors and clock-scaling-induced timing errors

Channel codes such as Low-Density Parity-Check (LDPC) codes may be employed in wireless transmission schemes for correcting transmission errors. This tolerance to channel- induced transmission errors allows reduced transmission energies to be used, at the cost of the additional signal processing energy dissipation of the LDPC decoder. To strike a trade-off, clock scaling may be employed for reducing the LDPC decoder’s energy dissipation, but at the cost of potentially introducing timing errors. Only a few previous attempts have been made to mitigate the occurrence of timing errors in channel decoders, by employing additional circuitry for detecting and correcting these clock- scaling-induced timing errors. In this paper, we demonstrate that stochastic LDPC decoders are capable of exploiting their inherent error correction capability for correcting not only transmission errors, but also timing errors, even without the requirement for additional circuitry. We develop a timing error model for stochas- tic LDPC decoders and investigate, how clock scaling affects their overall error correction performance. Drawing upon our findings, we propose a modified stochastic LDPC decoder, having an improved timing error tolerance. In a particular practical scenario, we demonstrate that this modification eliminates the approximately 1 dB performance degradation imposed by the conventional stochastic LDPC decoder.
Reading comprehension and attrition in French immersion programs

The purpose of this study was to determine whether a relationship existed between low achievement in reading comprehension in elementary French immersion schools, and French immersion attrition by the beginning of grade 9 in School District 79 (Cowichan Valley). The number of elementary French immersion students, from six separate cohorts, who achieved a level of “not yet meeting expectations” on the reading portion of the grade 4 Foundations Skills Assessment, were compared to the number of students from the same cohorts who left the French immersion program by the beginning of grade 6 and 9 using a correlational analysis. Similarly, the number of students from the same six cohorts who achieved a level of “not yet meeting expectations” or “minimally meeting expectations” on grade 6 spring DART assessments, were compared to the number of students from the same six cohorts who left the French immersion program by the beginning of grade 9 using a correlational analysis. The results of this study indicate that there appears to be no relationship between reading comprehension and attrition between grades 4 and 9, or grades 6 and 9. However, the correlational data analysis indicates that there is a strong positive relationship between attrition by grade 6 and reading comprehension levels in grade 4. READING COMPREHENSION & ATTRITION IN FRENCH IMMERSION
Computational Models of Analogy-Making An Overview Analysis of Computational Approaches to Analogical Reasoning

We provide an overview of research on computational models of analogy-making. The survey ranges from a fairly basic introduction to the topic of computational analogy-making to reporting some quite recent advanced results concerning the study of these systems, their properties and particularities. When doing so, we mainly take a cognitive modeling and computer sciences inspired point of view, mostly discarding other possible criteria such as psychological or biological adequacy. We introduce different abstract types of computational models of analogy-making in terms of symbol-based models, connectionist models and hybrid models, before having a more detailed look at one or two characteristic examples for implemented systems of each category. Concludingly, after summarizing the characteristics of the studied systems in a crisp synopsis, we present some basic aspects of Heuristic-Driven Theory Projection, a mathematically sound framework for analogy-making currently under construction.
Ecology and Natural Resource Management: Systems Analysis and Simulation

From the Publisher: Ecology and natural resource management are presented in a systematic way using an analysis and computer modeling approach. Providing step-by-step guidance to each phase in the development of a simulation model using combinations of simple system components, it helps readers face the complex natural resource management problems in realistic, analytical terms. It covers the philosophical basis for use of systems analysis and simulation in ecology and the theoretical framework for the development, evaluation, and use of simulation models. Emphasis is on practical applications. Examples in the text and a hands-on disk provide step-by-step instruction and experience.
Evaluating the Data Analytic Features of Blackboard Learn 9.1

Learning Management Systems (LMSs) track and store vast quantities of data on student engagement with course content. Research shows that Higher Education Institutes can harness the power of this data to build a better understanding of student learning. This study is an exploratory Learning Analytics initiative to evaluate the inbuilt analytic features available within Blackboards LMS solution namely Blackboard Learn 9.1 to determine if it informs academic staff on student engagement. The two analytic features analysed in this study are Module Reports and Blackboard’s inbuilt early warning system called the “Retention Center”. Analysis of LMS variables extracted from these analytic features established a statistically significant weakly positive correlation between hit activity, login activity and student examination results. A statistically significant weakly positive correlation was also established between Multiple Choice Quiz (MQQ) score and examination results. These findings suggest that activity within LMS, measured by logins, hit activity and results in MCQs provide indicators of student academic performance. Lecturers involved in the study felt the analytic features provided them with a sense of student engagement with course modules and better understanding of their student cohorts.
Is Project Management Handbook

The IS Project Management Handbook is a practical hands-on resource book which guides IS managers through the project management process of designing, developing, and implementing any IS goal. This process includes time and management techniques and the key tools such as Gantt chart schedules and reports for handling these techniques.The Handbook covers the basic steps in IS project management: scope planning and defining, activity defining and sequencing, resource planning, time estimating, schedule developing, cost estimating, and budget developing. Quality control is considered throughout the process. Fundamental IS project management techniques and tools are covered: project modeling, network optimization, Gantt charts and schedules, PERT/CPM techniques, risk analysis, and learning curve analysis.Written in a practical, how-to-style and organized for fast access to specific information, The IS Project Management Handbook not only explains the project management process, but takes the reader step-by-step to achieve implementation of any IS goal.