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Applied Technology

Foundations of Applied Technology

This course uses problem based learning to introduce students to a variety of technology domains used to address human needs and challenges. Technology domains of study may include electrical, mechanical, fluid dynamics, thermodynamics, cybernetics and computer technology.  Students analyze a range of case studies and identify technology solutions for scenarios presented. Additionally, students are introduced to methodologies to conduct experimentation and testing.

Systems and Critical Thinking

This course introduces systems thinking as an approach to problem solving and a way to address future needs.  Systems thinking allows students to view a problem or need from a holistic perspective rather than the individual parts.  This course also incorporates concepts to promote critical thinking, creativity, and innovation.

Managing and Leading Technical Teams

This course has a significant leadership component with a focus on technical leadership and working with and on technical teams.  Techniques for facilitating technical meetings as well as communications, in terms of technical writing and presentations, are an integral part of the course.

Human Centered Design and Implementation

This course guides students through the systematic process of identifying systems objectives from a human perspective, how to accomplish these objectives and how to bring the solution into operation.  Students utilize human centered design, along with other design techniques, to bridge the gap between problem domain and the solution domain.

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. This will be a cross-listed course between the Applied Technology and Data Visualization programs.

Applied Technology Capstone

This capstone course brings together concepts from the core and elective courses in a sponsor supported project.  Students work on real-world problems in support of real sponsors to address their applied technology challenges. Capstone projects could be specialization specific (e.g. healthcare, education technology, etc.) or multi-specialization projects depending on the sponsor’s need. This course is required for students completing the Master of Science, and is an elective for graduate certificate students.

Emerging Technologies

Existing technologies evolve rapidly, and new technologies are constantly emerging. This course explores current and emerging technologies, as well as broader trends.  It also incorporates the management of technology to include technology refresh, integration and phase-out along with interfaces to other emerging technologies.

Applied Informatics

This course explores the use of data in numerous professional fields to enhance the interaction between humans and information.  Students learn data handling and basic programming skills necessary to gather, sort, structure, visualize and analyze data for various purposes.

Creative Problem Solving and Decision Making

This course focuses on problem definition and formulation, problem solving, decision making and risk analysis.  Students learn to apply problem solving tools, materials, and methods. Basic modeling and simulation methods are also incorporated to support analysis and decision making.

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.

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.

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.

Project Management

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.

Grant and Proposal Writing

This course covers the complete process of grant and proposal writing and the contexts and strategies of the philanthropic environment. Students will learn how to research funding opportunities, identify and plan successful projects, devise achievable goals and budgets, write proposals for public and private foundations, follow up on both successes and rejections, and incorporate digital technologies. This course satisfies an elective for the evaluation and assessment methods graduate certificate.

 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.