Narratives Across Media and Cultures

Sophia Fernandez

This course introduces students to the use of artificial intelligence and machine learning in quantitative research. Students learn to apply algorithms such as regression, classification,
clustering, and predictive modeling to structured, numerical datasets. Emphasis is placed on using AI to support applied research projects, evidence-based decision-making, and forecasting.
As part of PSU’s STEM Core, this course connects traditional statistical concepts with modern AI tools, preparing students for thesis research and professional applications.
Faculty may incorporate tools such as scikit-learn, TensorFlow, PyTorch, or SAS Enterprise Miner to allow students to develop hands-on AI projects with real datasets.
The course requires no prior statistics, as key concepts are introduced in context.

This general education course introduces students to the creativity of human expression through both the visual and performing arts. At PSU, students may explore art history,
design, painting, sculpture, photography, film, architecture, digital media arts, music history, music appreciation, theory, composition, performance, ethnomusicology,
or world music traditions. Courses in this area emphasize the appreciation of aesthetic traditions and the analysis of the arts as powerful mediums of identity, creativity,
and social change across cultures and societies.

This general education course introduces students to the study of human diversity and cultural practices across the globe. At PSU, students could explore anthropology, world religions,
indigenous traditions, language and ritual, global studies, or comparative civilizations.
Courses in this area emphasize cross-cultural understanding and the importance of diversity in shaping human experience.

Foundations of UI/UX and Web Design

This course introduces the principles and practices of modern web design as the foundation of digital communication and online interaction. Students learn about web architecture,
interface design, accessibility, usability, and responsive design, with attention to the creative and technical aspects of building effective websites.
The course balances conceptual frameworks of digital communication with hands-on practice in designing, prototyping, and publishing for the web.
Designed to be accessible without prerequisites, it combines theoretical insight with applied skills relevant to business, media, and creative industries.
Faculty may integrate environments such as HTML/CSS, JavaScript, WordPress, Figma, or other design platforms to provide students with practical exposure to web design and development.

Examines the role of entrepreneurship in business and society. Focuses on opportunity recognition, business planning, innovation, and venture creation. Encourages students to develop entrepreneurial thinking applicable to startups, corporations, and non-profits.

BU333/BU555/CS555

This course explores statistical and data-driven methods for evaluating digital campaigns across web, search, and social media platforms. Students use time-series analysis, A/B testing,
and multivariate approaches to assess campaign effectiveness and ROI. Emphasis is placed on linking digital metrics to broader marketing and business performance measures.

This course explores how artificial intelligence is transforming accounting processes and decision-making. Learners gain insights into accounting systems, predictive models,
and intelligent data processing. The course bridges accounting principles with modern AI-driven technologies to enhance efficiency, accuracy, and strategic value in business operations.

Computer Science &
Information Systems

The course Principles of Data Management provides a comprehensive understanding of how data is collected, organized, stored, and maintained within modern organizations.
It covers key concepts such as database design, data modeling, normalization, and data integrity. The course emphasizes effective data handling for decision-making and business intelligence.
It equips participants with foundational skills to manage and analyze data efficiently in both technical and business environments.

Computer Science &
Information Systems

This course introduces MBA students to the application of Artificial Intelligence (AI) techniques in quantitative business research. Emphasizing business statistics and data-driven decision-
making, it covers machine learning methods, predictive analytics, and intelligent data modeling to enhance research design and interpretation. Students will learn to integrate AI tools with
statistical analysis to uncover insights, optimize business strategies, and support evidence-based management decisions.

Computer Science &
Information Systems

This course equips Graduate students with statistical tools and analytical techniques essential for informed business decision-making. Focusing on business statistics, it covers data analysis,
probability, hypothesis testing, regression, and forecasting methods. Emphasis is placed on interpreting statistical results for strategic and operational decisions, enabling students to apply

quantitative reasoning to real-world business challenges.

Computer Science &
Information Systems

SEC 510: Network Security explores the principles and practices essential to safeguarding network infrastructures. The course covers a range of techniques to identify, mitigate,
and prevent security threats, focusing on maintaining the confidentiality, integrity, and availability of networked systems. Topics include threat modeling, vulnerability assessment,
intrusion detection, cryptographic protocols, and security policy development