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Courses

Principles of Data Visualization

This course covers the fundamental elements of the database, semi-structured data, and unstructured data. Students will gain familiarity with data visualization concepts, techniques, and tools, including acquisition, augmentation, and restructuring; data storage and aggregation; access to parallel and distributed computing; high-volume data, disparate sources, and performance; and streaming data and dynamic queries. The student will learn to use several programming languages and software packages to create a range of data analyses and visualizations.

Graphic Design

Compelling graphic design depends on knowledge of graphical theory and aesthetic principles. The course introduces graphical theory as a means for students to examine and present patterns, hierarchies, and relationships in data structures. This course introduces aesthetic principles and techniques for using aesthetic principles effectively when designing graphics. Students will apply aesthetic principles of scale, proportion, color, form, structure, and motion in their graphic designs. This course also addresses the role of audience when creating graphic designs.

EAM 630: Data Analysis

This course provides an overview of the theoretical foundations of qualitative and quantitative data analysis, and teaches practical skills related to data management, analysis, and theory development. Students will learn to code and interpret qualitative data and to interpret statistics most commonly used in evaluation sciences.

Advanced Visualization Design

This course focuses on designing effective, compound data visualizations that contain information-rich graphics and multiple elements in order to tell a story or create an argument. Emphasis will be placed on static and dynamic dashboards and report card style visualizations that are often utilized in organizational and management settings. Students will gain working knowledge of R, Python, and other Cs+ languages. To enroll in this course, students must have completed 9 credit hours of Data Visualization courses or receive permission of the instructor.

Visualizing Time and Place

This course incorporates temporal and spatial dimensions into data visualizations. This includes a range of both static and dynamic visualizations designed to include time as well as geospatial mapping. This course will include designing composite graphics with maps as a component. Using computational methods, students will create drawings, graphs, indices, and maps that explore the database as repositories of information.  

Interactive Visualizations

This course focuses on interactive data visualizations, including web-based applications. Students will design interactive visualizations with the primary purpose of exploring data. Emphasis will be placed on the unique aspects of user interaction with the data.

DV 695 Special Topics in Data Visualization

Special Topics allows faculty to develop unique courses that reflect their individual research and interests and that represent important current directions in the field of data visualization. The course topic, requirements, and learning outcomes will be determined by the instructor.

Ethical Use of Technology and Data

In this course students will research, identify, formulate perspectives, and discuss ethical challenges in the use of technology and data.  Ethical challenges investigated may include, but are not limited to: environmental impacts, privacy considerations, public safety, workplace exposure, data gathering and sharing, and intellectual property. Students analyze a range of case studies related to ethical issues in emerging technologies and data collection and use.

Modeling and Simulation for Insight

Students in this course utilize modeling and simulation to enhance their skills in communications, decision making, optimization, cause and effects analysis, and engineering economics. The course introduces deterministic and stochastic modeling techniques, as well as different simulation methodologies. Topics include problem formulation, conceptual modeling, simulation methodologies, verification and validation, design of experiments, simulation execution, and output analysis.

Special Topics in Applied Technology

Special Topics allows faculty to develop unique courses that reflect their individual research and interests and that represent important current directions in the field of applied technology. The course topic, requirements, and learning outcomes will be determined by the instructor.  The course will incorporate, when appropriate, problem based learning as applied to the special topic area and a lab component to allow for experimentation of the different technologies associated with the special topic.

EAM 620: Data Collection

This course prepares students to use both quantitative and qualitative research methods, and address how, when, and why different methods are deployed.  In this course, students learn about data collection methods, sampling strategies for quantitative research, effective survey design, conducting focus groups and in-depth interviews, the role of sample size, categories of quantitative variables, and assessing the reliability and validity of their measurement tools.

EAM 640: Project Management

Successful interventions and evaluations depend on strong planning and project management skills. This course covers skills and strategies related to budgets, planning, stakeholder engagement, staff supervision, and fundraising.  Additionally, students will learn about different leadership styles and will work to develop leadership skills.

EAM 695: Special Topics in Evaluation and Assessment Methods

Special Topics allows faculty to develop unique courses that reflect their individual research and interests and that represent important current directions in the field of evaluation and assessment. The course topic, requirements, and learning outcomes will be determined by the instructor. May be repeated as topics change.

WDC 630 Visual Thinking, Digital Design

Students will learn to expand their digital design skills to resolve visual problems, implementing line, texture, color, spatial illusion, materiality, compositional frameworks and subject matter. Emphasis is on the design process and conceptual development.