In this course, you will explore building online and offline networks for personal and professional growth and success. Effectively creating a personal network that works for professionals is critical for success. Topics will include relationship building, personal branding, goal setting, and networking tools.

RES 8780 will build upon fundamental skills and knowledge gained throughout the doctoral program of study. Students will advance their research aspirations by constructing concept and literature maps leading to a research design. Key outcomes include research background and rationale, testable research questions that are aligned to appropriate methodologies, and proposed data visualization. Students will demonstrate mastery of the research design life cycle including research and writing skills as applied to their respective program content.

This advanced graduate seminar explores issues and models for leveraging human resources to execute business strategy. Topics include succession planning, leadership development models, workforce staffing models, compensation models, and training and development strategies.

Many major companies have made coaching and leadership development a core part of executive development. This course takes the next step in examining the theories of leadership with emphasis on linking theory and practice to create effective organizational leaders.

This course explores human and organizational reactions to disaster. Students will explore human behavior during disasters as well as some of the psychological impacts of disasters on people. The course will also address how organizations maintain continuity of operations during disasters.

This course is aimed at preparing individuals to gain knowledge, skills, and abilities to demonstrate an advanced knowledge of the Amazon Web Services (AWS) platform. This course covers advanced topics such as cloud costs, billing practices, overview of core AWS services, including computer, network, databases, and storage. Material covered will also include identifying resources for technology support, and identify resources available for billing support.

This course is aimed at preparing individuals to gain knowledge, skills, and abilities to demonstrate intermediate knowledge of the AWS platform. This course offers an intermediate understanding of Amazon Web Services (AWS) cloud security best practices, AWS cloud economics, defining the AWS shared responsibility model, AWS access management capabilities, and resources for security support.

This course is aimed at preparing individuals to gain knowledge, skills, and abilities to demonstrate basic knowledge of the Amazon Web Services (AWS) platform. The student will learn the values of using the cloud as a service, understand the AWS shared responsibility model, and cloud security best practices. This course also discusses cloud economics, architecture design principles, as well as learning the AWS shared responsibility model.

This course focuses on best practices for managers in gaining control over AI implementations and ethical data analysis. The course addresses the responsibilities of a data science manager in overseeing automated decision making that goes beyond the delivery of the modeling results and deployment of the systems. The course studies improving the data monitoring procedures for adhering to a higher ethical standard and responsible data management within an organization.

This course introduces you to the basics of artificial intelligence, data science, and data analytics for the handling of massive databases. The course covers concepts and data mining for big data analytics and introduces you to data visualization and some basic statistical concepts for data science.