Featured Spring Courses Enhance Marketable Skills

Looking to enhance your marketable skills? Thinking about your upcoming job search? Take your data analysis and statistics skill set to the next level with two GSLIS courses offered in spring: LIS 769 Research Methods and LIS 884 Big Data and Competitive Intelligence. Jobs requiring expertise in these areas abound, and MLIS graduates are perfect candidates for them. Registration is now open! Don't wait to secure your seat in one of these in-demand courses.

LIS 769 Research Methods
Wednesday, 9:00 a.m. - 12:00 p.m.
This is class is being taught by Dr. Don W. Hamerly who states: "I think everyone with an MLIS should know about research. Not research strictly as in helping patrons learn to use a database or the catalog, or to cite sources properly or to interpret a style guide, even though those things are important. I mean research as in asking essential questions of our practice, of our patrons, of our place, of ourselves. What questions do we need to ask to challenge assumptions or to argue our impact? What worldviews drive our understanding of information work? How do we design research studies that generate evidence for increasing our understanding of information work? How can we analyze, interpret, and depict data so that others understand and support our work? In the research class you will learn how to frame essential questions for research, how to design and implement a research study, and how to analyze and depict the results. We will discuss various methods for conducting both qualitative and quantitative research, and we will explore ways to collect and analyze data, including the use of SPSS for analyzing and visualizing statistical data. By the end of the course you will have a better understanding of how library and information science developed as a field of study and how it continues to grow. You will know how to conduct research for your own purposes and for those of your institution, and you will know how to interpret research and speak knowledgeably with decision makers about research. And by learning how to do research for yourself and your profession, you will be better at helping others do their own research...of any kind, at any level, for any reason, anywhere."

LIS 884 Big Data and Competitive Intelligence
Wednesday, 6:00 - 9:00 p.m.
Dr. Yijun Gao
Data have swept into everyday life and become an inalienable part of competition and better services. We need to fully release the power of data. This course provides an overview of data theories and best practices, e.g., acquisition, verification, analysis, visualization and dissemination of big data. The latest data analytics techniques help us discover new knowledge and facilitate effective decision-making, including in fostering the social good. Competitive Intelligence (CI) uses legal and ethical means for efficiently discovering, developing, and delivering timely, relevant new knowledge about the external environment. Areas of study include spotting business trends, managing public relations crises, determining quality of research/education, preventing diseases, combating crime, and more. Upon finishing this course, you will be able to define organizational CI strategies, demonstrate strong analytics skills, promote data security, and investigate new service models.