OIE 2081. INTRODUCTION TO PRESCRIPTIVE ANALYTICS

Cat. I This course provides an introduction to prescriptive analytics, which involves the application of mathematical and computational sciences, such as linear optimization and simulation, to recommend optimal courses of action for decision making. The course will feature decision problems arising from a variety of contexts such as capacity management, finance, healthcare, humanitarian relief, inventory management, production planning, staffing, and supply chain.

TH 222X. THEATRE FOR SOCIAL DISTANCING

This course will explore how theatre is beginning to adapt to Social Distancing. Students will explore previous digital theatre trends while considering future implementation given world events. Groups in the class will develop and produce a digital theatrical performance or event while documenting the process. They will research methods for implementation, required technology, adaptation of theatrical elements, audience engagement and subject matter. The class will decide on whether to produce an original work or adapt existing works for the new medium.

EN 201X. LITERARY PANDEMICS

This course explores the cultural and historical underpinnings of contemporary pandemics by attending to representative literary works from a wide range of pandemics and plagues past and present. Attention will be given to distinct genres from drama and poetry to fiction and film, to geographical contexts from the British and the Mediterranean to the North American and South African, and to distinct periods from classical antiquity through the medieval and early modern eras to the modern and contemporary moments. 

MIS 587. BUSINESS APPLICATIONS IN MACHINE LEARNING

This course explores how Machine Learning (ML) and Artificial Intelligence (AI) is applied to solve business problems, to satisfy specific business needs, or to discover new opportunities for businesses. Applications of ML and AI are constantly evolving across many industries. This course utilizes existing AutoML solutions to address issues identified in business case studies (e.g. predicting hospital readmissions, loans likely to default, customer churn).

MIS 502. DATA MANAGEMENT FOR ANALYTICS

This course develops the skills business students need for handling data. It focuses on student skills in (1) cleaning and preparing data for analysis, (2) writing SQL queries to access and manipulate data, and (3) ethical uses of data and data privacy issues. It also covers the types of data typically found in organizations, e.g., employee, customer, product, marketing, operations, and financial data.

MIS 3787. BUSINESS APPLICATIONS OF MACHINE LEARNING

Cat. I This course offers a business focused data analytics introduction. Using cutting-edge tools and approaches to the analysis of data through supervised machine learning, the course teaches how to utilize "big data" for effective decision-making. The course creates data analytics skills through hands-on exposure to data and analytic techniques embedded in Automated Machine Learning tools.

BUS 596. MASTER OF SCIENCE CAPSTONE PROJECT

This course is the capstone course for the STEM-based, specialty MS programs in the Foisie School of Business. This course serves as a practical integration of the STEM-based tools, techniques, and skills and the related business theories and practices that students learned in their MS program. The medium is a major team-based project in the form of an actual corporate STEM-based business need for which students will develop solutions. Students will produce a written report that documents and provides the financial, organizational, and technical rationale for the solutions.

FP 4000. FIRE LABORATORY

Cat. I

DS 577. MACHINE LEARNING IN CYBERSECURITY

Machine Learning has proven immensely effective in a diverse set of applications. This trend has reached a new high with the application of Deep Learning virtually in any application domain. This course studies the applications of Machine Learning in the sub domain of Cybersecurity by introducing a plethora of case studies including anomaly detection in networks and computing, side-channel analysis, user authentication and biometrics etc.

BME 2502. INTRODUCTION TO BIOMECHANICS: STRESS ANALYSIS

Cat. I This is an introductory course that addresses the analysis of basic mechanical and structural elements relevant to biomechanics. Topics include general concepts of stresses, strains, and material properties of biomaterials and biological materials including viscoelasticity. Also covered are stress concentrations, two-dimensional stress transformations, principal stresses, and Mohr’s circle. Applications are to uniaxially loaded bars, circular shafts under torsion, bending and shearing and deflection of beams.

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