Auditory Steady-State Response (ASSR) is a promising tool for detecting hearing loss. In this project, we analyzed hearing threshold data obtained from two ASSR methods and a gold standard, pure tone audiometry, applied to both normal and hearing-impaired subjects. We constructed a repeated

Signed:................................. We consider the problems in getting the probability of the data based on a particular pedigree use the DNA marker information. The ”probability ” here is inferred more as the ”likelihood” since it gives a measurement in getting such a pedigree based on the data. We implement the two widely used algorithm in linkage analysis: the Elston-Stewart algorithm and the Lander-Green algorithm. We use the significant results from the graphical models and the Bayesian probability networks to investigate the pedigree. The graphical models can not only be used as a language but also as an important tool in analyzing the pedigree. We simulate a few pedigree and get their likelihood based on the two algorithms and through this procedure, we explore the features of each algorithm and potential improving methods. We propose a way in generating an unobserved person’s genotype according to his offspring and combined it with the Elston-Stewart algorithm as well as the Lander-Green algorithm. We also implement an incremental algorithm to construct the contrasts to a pedigree under research. This incremental algorithm will give us an easy approach to get the likelihood based on the new pedigree without

Today, the use of computers in education is booming and the use of digital learning resources and educational websites invite educators and computer scientists to reflect more on the design of such tools. In fact, this paper outlines a number of criteria and recommendations that can guide and direct any teaching tool design be it campus-based or online (e-learning). This work is at the heart of this issue. It suggests examining academic, pedagogical, didactic and technological criteria to conduct this study which aims to develop an assessment and analysis grid of the quality of educational programs and applications. The approach adopted consists in addressing the specific and relevant factors of each assessment criterion. Then, the article explain the detailed structure of the grid. Finally, on the basis of the description given, all data are collected in the evaluation grid and its methods of use are discussed..

In recent years distance learning has been a revolution in the techniques used to train people; among them we find the courses as MOOCs (Massive Open Online Courses). The use of this type of course emerged in phenomenal way especially in academia. But in parallel with this emergence, several problems related to MOOCs appeared, among them the dropout of participants, which is considered one of the major problems faced by distance learning. This thesis focuses on one of the main causes of the dropout of participants; it is the necessary prerequisite to begin the MOOC. First job is to categorize the participants according to their prerequisites in several learning profiles, and then to propose adaptive remediation activities to each profile found before starting the MOOC.

This study measures resident student perceptions of on–campus living and study environments at the University of Namibia campus residence and their relation to student academic performance. Data were obtained from a stratified random sample of resident students with hostels (individual dormitory) as strata. Student academic performance was measured by grade point average obtained from the university registrar. Student perceptions of living and study environments were obtained from a survey. Inferences were made from the sample to the population concerning: student perceptions of the adequacy of the library and campus safety, and differences in perceptions between students living in old-style and new-style hostels. To relate student perceptions to academic performance, a model regressing GPA on student perception variables was constructed. The principal findings of the analyses were that (1) Student perceptions do not differ between old and new hostels; (2) There is an association between time spent in the hostel and the type of room, ability to study in room during the day and the type of room, ability to study in room at night and the type of room, time spent in hostel and

This project analyzed the giving data of Worcester Polytechnic Institute’s alumni and other constituents (parents, friends, neighbors, etc.) from fiscal year 1983 to 2007 using a two-stage modeling approach. Logistic regression analysis was conducted in the first stage to predict the likelihood of giving for each constituent, followed by linear regression method in the second stage which was used to predict the amount of contribution to be expected from each contributor. Box-Cox transformation was performed in the linear regression phase to ensure the assumption underlying the model holds. Due to the nature of the data, multiple imputation was performed on the missing information to validate generalization of the models to a broader population. Concepts from the field of direct and database marketing, like “score ” and “lift”, were also introduced in this report. ii Acknowledgments

We analyze data (length, weight and location) from a study done by the Army Corps of Engineers along the Tennessee River basin in the summer of 1980. The purpose is to predict the probability that a hypothetical channel catfish at a location studied is toxic and contains 5 ppm or more DDT in its filet. We incorporate spatial information and treate it separetely from other covariates. Ultimately, we want to predict the probability that a catfish from the unobserved location is toxic. In a preliminary analysis, we examine the data for observed locations using frequentist logistic regression, Bayesian logistic regression, and Bayesian logistic re-gression with random effects. Later we develop a parsimonious extension of Bayesian logistic regression and the corresponding Gibbs sampler for that model to increase computational feasibility and reduce model parameters. Furthermore, we develop a Bayesian model to impute data for locations where catfish were not observed. A comparison is made between results obtained fitting the model to only observed data and data with missing values imputed. Lastly, a complete model is presented which

We analyze data on body mass index (BMI) in the third National Health and Nutrition Examination survey, predict finite population BMI stratified by different domains of race, sex and family income, and investigate what adjustment needed for nonresponse mechanism. We built two types of models to analyze the data. In the ignorable nonresponse models, each model is within the hierarchical Bayesian framework. For Model 1, BMI is only related to age. For Model 2, the linear regression is height on weight, and weight on age. The parameters, nonresponse and the nonsampled BMI values are generated from each model. We mainly use the composition method to obtain samples for Model 1, and Gibbs sampler to generate samples for Model 2. We also built two nonignorable nonresponse models corresponding to the ignorable nonresponse models. Our nonignorable nonresponse models have one important feature: the response indicators are not related to BMI and neither weight nor height, but we use the same parameters corresponding to the ignorable nonresponse models. We use sample

Serious games have become an indispensable part of the training compared to traditional online training that is often seen as restrictive and boring sometimes by learners. However, despite the contribution and potential of serious games in the education, their integration in the learning process is limited, this is due to the lack of tools and features of tracking and assessment of the learner/Player. For this and after a study of existing standards for describing learning resources we find that they are incomplete when it comes to describe the serious games. This article explains how we can effectively deliver serious game for our students through LMS with a metadata schema to describe serious game as learning resources. This new metadata schema it is an application profile of IEEE LOM entitled "SG-LOM " which takes into account different evaluation studies and classifications of serious games. This metadata allows one hand to the serious games take advantage of features of tracking and assessments offered by these systems. On the other hand the LMS to complete their educational offer and reach a certain maturity.

Entropy and relative entropy are proposed as features extracted from symbol sequences. Firstly, a proper Iterated Function System is driven by the sequence, producing a fractaMike representation (CSR) with a low computational cost. Then, two entropic measures are applied to the CSR histogram