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Career Readiness In Communication And Information Industries

This course allows students to explore the majors and careers associated with a degree in Communication, Information Communication Technology, Integrated Strategic Communication, Journalism, and Media Arts and Studies. Students will develop a written, spoken, and digital professional persona, communication strategies, and professional skills to prepare to be competitive in internships and on the job market upon graduation.

Public Health: Careers For A Healthy World

In this class, students explore the wide variety of careers and professional settings where people with training in public health work. Through guest lectures and discussions with professionals in the field, students gain exposure to the roles and responsibilities of those who work in nonprofit, for-profit, and governmental public health; health care; health care administration; and other related fields. As part of this course, students will assess their own interests, skills, and personality to explore and describe their career goals and strategically plan for a career in this area.

Public Health Practice And Communication

This course serves as one of two culminating courses for the Bachelor of Public Health (BPH) degree and brings together two key applications of public health knowledge: Practicing public health in organizational settings and communicating as a public health professional. In this course, students complete an experiential learning activity in order to gain a practical understanding of public health organizations, broadly defined.

Sequential Decision Making

This course covers the computational principles and techniques that are used to solve sequential decision-making problems from a Computer Science perspective. The focus of this class is on formulating sequential decision-making problems as well as on the fundamental algorithms, mathematical models, and programming techniques used to solve them. Topics include: Multi-armed bandit problems, adversarial decision-making, Monte-Carlo tree search, and reinforcement learning.

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