Hybrid Courses

This course examines development of strategic sea power and how it has been used throughout history. Students develop foundational knowledge through discussion and directed readings. The current status of international sea power, and its anticipated role in future international interactions, are examined. Students perform library research and analysis, and are assessed through an annotated bibliography, literature review and argument paper.

Completion of ADED 301U with a grade of 'C' or better.

Explores the integration of generative-AI tools into the photographic workflow in order to edit and refine images using both traditional digital photographic methods and the newest capabilities of Adobe Firefly. Covers text-to-image, scene expansion, image correction, object removal/addition, style transfer, and compositing within Photoshop. Includes critical examination of ethical, legal, and creative issues related to AI. Documents workflow, decision-making, and creative intent in portfolio creation.

Effective classroom and behavior management skills to build individual responsibility and self-discipline, promote self-regulation, and maintain a positive learning environment. Research-based classroom and behavior management techniques, classroom community building, positive behavior supports, and individual interventions. Note: Field experience required.

EDUC 507U or EDUC 542U

Introduction to key research, principles, themes, and definitions of creativity and problem solving. Prepares participants to integrate creativity and problem solving into a standards-aligned curriculum that empowers students to reach their full potential. Demonstrates that creativity, critical thinking, and problem solving enhance learning across disciplines and support the development of higher order thinking skills. Identifies specific applications, including product design, instructional activities, and problem-based learning approaches that are relevant in our AI-shared era. Designed for current and aspiring educators using the Virginia Standards of Learning.

This course focuses on academic writing, critical reading, and research. Throughout the semester, it will require students to write on a range of topics for a variety of purposes and audiences, emphasizing writing as a process. It will also introduce a broad array of texts that are intended to improve students' critical reading skills. Finally, it will include training in research and proper methods of documentation.

Satisfactory ACCUPLACER score or completion of ENGL 101U with a grade of 'C' or better.

Introduces a rhetorical approach to the techniques and types of communication in professional contexts, including correspondence and reports. Designed to strengthen skills in effective business and professional communication in oral and written modes across multiple media. Prepares students to write professionally for audiences within and outside a corporation or nonprofit enterprise.

This course in human resources uses an HR development point of view in which employees are considered assets to be developed rather than costs to be minimized. Topics include recruiting, hiring, training, retaining, rewarding, and promoting employees; employment planning, performance management systems, and succession planning; and managing outsourced relationships. Special attention is given to quality of working life issues; the balance between work and non-work; traditional and nontraditional incentives; and generational, cultural, and ethnic differences in employees' needs and values.

This course includes an overview of business strategy and emphasizes the role of human resource management and development for effective strategy implementation. Models of organizational diagnosis and change, transformational leadership, reengineering, divesting, merging, acquiring, and downsizing are examined from a strategic and operational human resource perspective. Students will learn project management skills and integrate their course work by undertaking a major company-based project.

Introduction to the theoretical and practical ideas about diversity in organizations. Explores strategies to address diversity as a manager and employee. Examines diversity issues in organizations related to human resources (recruitment and selection, training and development, performance management and safety and health), marketing, and customer relations. Explores strategies to address diversity issues in various organizations and study legislation and trends in diversity management.

A capstone master's level course which uses a case study approach to integrate the skills and knowledge obtained within the curriculum to solve real HRM problems. Emphasis will be placed on developing effective strategy and policy from a senior managerial perspective.

Complete a minimum of 18 hours in the MHRM curriculum to include ECON 507U and HRM 531U before enrolling.

Explores moral, social, and ethical ramifications of data use at different stages of data analysis, ranging from data collection and storage to feedback loops in analysis. Uses discussion, case studies and exercises to encourage ethical thinking in science, understand the history of the ethical dilemma in scientific work, and consider ethical dilemmas associated with scenarios in data analytics and technology today.

Junior-level course in logical and physical design of database systems: rules of normalization in data modeling, SQL programming, and physical design issues impacting the I/O performance of commercial-level database management systems in Oracle. Introduction to data warehousing and business intelligence tools for corporate decision-making using Oracle Discoverer.

College writing and mathematics and foundation course work or experience in IT.

Introduction to data visualization, with emphasis placed upon applied projects and issues. The goal of the course is developing the ability to turn data into descriptive graphics. Participants will design and create data visualizations based on available data and goal. Students will use data visualization tools, and will be introduced to data visualization evaluation.

ENGL 201U

Analysis of case studies focusing on the real-life successes and failures of organizations as they manage situations impacted by information technology. Students take on the role of manager, consultant or other decision maker to identify strengths, weaknesses, opportunities and threats, and propose actionable solutions to resolve problems. Case studies cover a broad range of current information technology topics as well as business issues, technical issues and project management issues.

ENGL 201U or equivalent.

Explores concepts in data management, processing, statistical computing, and dynamic visualization. The purpose of predictive modeling is to be able to predict the behavior of new data. Participants are introduced to managing and analyzing data for purposes of extracting useful information and providing actionable forecasting. Activities include importing and exporting, cleaning and fusing, modeling, analyzing and synthesizing complex datasets using data analytics techniques. Linear regression is used to build models for predicting responses. Enables students to complete a project using predictive analytics.

Some programming experience recommended.

Introduction to data visualization, with emphasis upon applied projects and issues. The goal of the course is developing the ability to turn data into descriptive graphics, communicate those graphics, and understand common pitfalls in the practice of data visualization in support of a data visualization project. Students will use data visualization tools, and will be introduced to data visualization evaluation.

It is NOT like television! A reality check on what real litigation looks like, this course provides an introduction to the field of litigation. Covers organization of the generic law office, fact investigation, flow of litigation, court system, commencement and defense of a law suit, discovery, evidence, motions practice, trial and trial preparation. Also touches on settlement and post-trial practice.

Examines the history and development of machine learning and artificial intelligence, with a focus on recent developments in generative AI as it applies to the practice of law. Overviews the applications of machine learning and artificial intelligence in legal practice, provides practical experience with the use of general-purpose AI applications and legal-industry-specific AI applications, and covers the ethics and professional responsibility implications of machine learning and AI.

Research Methods introduces a range of research methodologies used in humanities and social science fields. Covers literary, cultural, and historical methods of inquiry along with empirical qualitative, quantitative, and mixed methods. Addresses digital research and information literacy through reading, interpreting, and evaluating scholarship. Provides approaches to planning, implementing, and evaluating research. Also emphasizes writing skills, relevant computer technologies and library use.