Overview of human resource management theory and practice in organizations. Legal framework; job design; recruitment, selection, performance appraisal, and separation; compensation; benefits; contemporary issues in HRM.

This course covers topics in Advanced Business Analytics, including managerial data mining, text mining, and decision trees, and more advanced data retrieval and manipulation. Models from statistics AI (e.g., regression, clustering, neural nets, classification, association rule modeling, etc.) will be applied to real data sets. In this managerially focused course, students will learn about when and how to use techniques and how to interpret output. Students will also learn how to extract and manipulate data using various software and programming languages.

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The risk management concept and the associated insurance-related financing tools. Emphasis on the corporate risk handling function from a financial perspective. The insurance industry, pertinent trends, and the products offered.

Techniques of multivariate statistical an-alysis as applied to business research. Discriminant analysis, canonical correlation, multivariate analysis of variance and covariance, factor analysis, cluster analysis.

This course is designed to prepare students for success in the following career and professional development competencies such as networking, internship/job search, professional etiquette and industry research. Specific activities will include but are not limited to: resume building, interviewing skills, dressing for success, utilizing social media platforms, developing elevator pitches, building professional connections, increasing knowledge of industry and career areas and navigating career fairs.

Overview of human resource management theory and practice in organizations. Legal framework; job design; recruitment, selection, performance appraisal, and separation; compensation; benefits; contemporary issues in HRM.

This course is designed to prepare students for success in the following career and professional development competencies such as networking, internship/job search, professional etiquette and industry research. Specific activities will include but are not limited to: resume building, interviewing skills, dressing for success, utilizing social media platforms, developing elevator pitches, building professional connections, increasing knowledge of industry and career areas and navigating career fairs.

This course is designed to prepare students for success in the following career and professional development competencies such as networking, internship/job search, professional etiquette and industry research. Specific activities will include but are not limited to: resume building, interviewing skills, dressing for success, utilizing social media platforms, developing elevator pitches, building professional connections, increasing knowledge of industry and career areas and navigating career fairs.