Surveys continue to play an important role in addressing many kinds of problems about many kinds of populations stand alone or as part of an integrated information system. Application of the scientific principles underlying surveys depends on good understanding of theories and empirical research from disciplines such as psychology, sociology, statistics and computer science. A set of principles and empirical research will be introduced through the Total Surevy Error (TSE) framework. The principles include problem and hypothesis formulation, study design, sampling, questionnaire design, interviewing techniques, pretesting, modes of data collection and data cleaning, management, and analysis. Students will be trained to determine major steps in data collection design and implementation and to refer to literature to justify the steps. The course will also discuss team and project management in the content of survey research, identifying skillsets and technical language required. The course will also provide training in an important subset of skills needed to conduct a survey form beginning to end.