Graduate students are the largest-growing group at East Tennessee State University. While it is easy to assume that graduates have mastered the basics of searching and conducting research, this assumption is largely unfounded. Whether they did learn these skills as undergraduates or not, graduates are rarely prepared for the project management challenge of undertaking the biggest research assignment of their lives. Graduate students often have additional stressors not faced by undergraduates: established careers, families, and greater financial responsibilities. Conceived during Summer 2015 and rolled out as an ongoing series in Fall 2015, the Graduate Student Workshops offered by the Sherrod Library provide instruction in the following areas: scholarly research, papers, and publishing; comprehensive project management; academic searching; APA style; citation management; and establishing a professional identity. As the program coordinator, the Graduate Services Librarian will discuss the origination of the program, from its inception in ETSU’s Graduate Thesis and Dissertation Boot Camp to its growth as a full-fledged series. Creating new relationships, leveraging partnerships with other faculty and departments, and organizing and marketing these services are critical to program success. Scheduling, logistics, costs, and assessment will also be discussed. After the program and discussion, attendees should be able to: recognize the significant function librarians can provide to graduate student research support convey the value of formal, targeted intervention to graduate students and campus administrators create offerings to support their own graduate students

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This thesis deals with content based automatic photo categorization. The aim of the work is to experiment with advanced techniques of image represenatation and to create a classifier which is able to process large image dataset with sufficient accuracy and computation speed. A traditional solution based on using visual codebooks is enhanced by computing color features, soft assignment of visual words to extracted feature vectors, usage of image segmentation in process of visual codebook creation and dividing picture into cells. These cells are processed separately. Linear SVM classifier with explicit data embeding is used for its efficiency. Finally, results of experiments with above mentioned techniques of the image categorization are discussed.