Courses

Support Provider Course provides students with concepts related to advanced cardiovascular life support. Content areas include acute myocardial infarction, stroke, cardiovascular pharmacology, electrophysiology, various rhythm disturbances, and techniques of management of cardiovascular emergencies. The course is taught in accordance with national standards and requires specific student competencies.

Introduction to topics ranging from how to attack computer systems and networks to how to protect and recover from attacks on computer systems and networks. Basic process utilized by computer attackers in order to develop a complete understanding and appreciation of the threat to information assurance. Process of detecting, preventing, and recovering from information assurance attacks.

Students enrolling CPE 649 must enroll concurrently in CPE 649L.

, LST. 3. Pr. THEA 3850. Intensive study of advanced dance techniques in theory and practice. Course often serves as a training and preparation for public performance. Theatre majors who do not earn a grade of "C" or higher must repeat this course. Course may be repeated for a maximum of 12 credit hours.

An examination of statistical and research techniques appropriate to emergency management applied research, including descriptive statistics, probability theory, sampling and statistical inference, hypothesis testing, regression and correlation analysis, analysis of variance, modeling and techniques for data reduction (e.g. factor analysis).

A methods-focused course covering the exploration, transformation, visualization, and analysis of data in the psychological sciences using widely or freely available software (e.g. Excel, Jamovi, and JASP). The course builds upon the skills taught in PSY 220 (Research Design & Analysis I) and PSY 320 (Research Design & Analysis II).

Students in this course will continue their exposure to data analytics by studying advanced statistical techniques and methods, managing and manipulating large data sets in order to produce actionable information, and communicating this information to interested parties.

This course provides an in-depth exploration of analytic technologies essential for business analytics professionals. Students will gain advanced skills in Excel, SQL, and Power BI, equipping them with the tools necessary to manage, analyze, and visualize data effectively. Emphasis will be placed on practical applications and real-world business scenarios.

This course covers advanced approaches used for writing crawlers and spiders, text analytics, sentiment analysis, social media analytics, network analytics, and deep learning for solving business and organizational problems. The course provides conceptual and hand-on understanding of such state-of-art analytics approaches using various python libraries. Knowledge of python programming is necessary to do well in the course.

This course covers advanced approaches used for writing crawlers and spiders, text analytics, sentiment analysis, social media analytics, network analytics, and deep learning for solving business and organizational problems. The course provides conceptual and hand-on understanding of such state-of-art analytics approaches using various python libraries. Knowledge of python programming is necessary to do well in the course.