Library and Information Science Commons^™

A Pilot “Big Data” Education Module Curriculum For Engineering Graduate Education: Development And Implementation, Megan R. Sapp Nelson, Line C. Pouchard

Libraries Faculty and Staff Scholarship and Research

Projects in engineering higher education increasingly produce data in the volume, variety, velocity, and need for veracity such that the output of the research is considered “Big Data”. While engineering faculty members do conceive of and direct the research producing this data, there may be gaps in faculty members’ knowledge in training graduate and undergraduate research assistants in the practical management of Big Data. The project described in this research paper details the development of a Big Data education module for graduate researchers in Electrical and Computer Engineering. The project has the following objectives: to document and describe current data …

Electrical And Computer Engineering/ Undergraduates/ Carlson & Sappnelson/ Purdue University/ 2012, Jake Carlson, Megan R. Sapp Nelson

Data Information Literacy Case Study Directory

This is a case study of a semester long data information literacy program employing an embedded librarian approach to teach students competencies in describing, organizing and documenting their work in developing software code. Materials include a book chapter describing the case study, a rubric for evaluating software code and its accompanying documentation, a handout to introduce the program to teaching assistants, a lesson plan for a skills session on documenting software code, and a list of possible activities to encourage good practice in describing and documenting code.

Mispronunciation Detection For Language Learning And Speech Recognition Adaptation, Zhenhao Ge

Open Access Dissertations

The areas of "mispronunciation detection" (or "accent detection" more specifically) within the speech recognition community are receiving increased attention now. Two application areas, namely language learning and speech recognition adaptation, are largely driving this research interest and are the focal points of this work.

There are a number of Computer Aided Language Learning (CALL) systems with Computer Aided Pronunciation Training (CAPT) techniques that have been developed. In this thesis, a new HMM-based text-dependent mispronunciation system is introduced using text Adaptive Frequency Cepstral Coefficients (AFCCs). It is shown that this system outperforms the conventional HMM method based on Mel Frequency Cepstral …