Courses

CH 347 COMPUTATIONAL CHEM & MOLECULAR MODELING   3.0 Credit(s)
This is an advanced course which will cover classical theory and its application to molecular modeling and simulation.
Offered: As Needed Contact Department

CH 345 BIOINFORMATICS   3.0 Credit(s)
This is a hands on course which provides an introduction to the theory and application of bioinformatics algorithms to solve biological research problems.
Offered: As Needed Contact Department

PS 340 CONSERVATION PSYCHOLOGY   3.0 Credit(s)
This course explores the growing field of conservation psychology and the connections it has to many allied fields, such as Conservation Biology. Conservation Psychology is psychology with a conservation agenda, that is, psychology for a sustainable future. Prerequisite: Take PS-110
Offered: Spring Semester Odd Academic Years

HS 336 CHILDHOOD HEALTH INEQUITIES   3.0 Credit(s)
This course is an interdisciplinary investigation and analysis of the ecological and social conditions that shape current patterns of childhood health disparities. We will analyze the underlying scientific associations of adverse health effects; evaluate casual links such as environmental contamination, air quality and heavy metal exposures, examine conditions that expand water-borne, vector-borne, and communicable diseases; assess how occupational and community design can contribute to patterns of disease; and explore disparate community impacts and rsponses to climate change. Students will evaluate the range and effectiveness of management and policy strategies designed to reduce adverse health outcomes, and explore evidence based strategies to reduce risk and health disparities. Particular attention will be given to the disproportionate health burdens on disenfranchised communities in both US and global regions.
Offered: Fall & Summer Semesters All Years

EC 308 THEORIES OF POLITICAL ECONOMY   3.0 Credit(s)
Examines the foundation of and challenges to market capitalism. The role of political actors, shortcomings of the market, and the trend toward globalization are emphasized. Seminal works of Adam Smith, Karl Marx, and other economic theorists are explored.
Offered: As Needed Contact Department

BUAN 302 INTRODUCTION TO DATABASE MANAGEMENT   3.0 Credit(s)
This is an introductory course on Database concepts and Structured Query Language (SQL) with a focus on business applications. This course provides a step-by-step overview and instructions on a variety of topics, including database and database management system (DBMS), data types, table structure and relationships, field definitions and naming conventions, data access queries using SQL, data definition language (DDL) and data manipulation language (DML) commands; table creation using SQL statements, database security and evolution of data models. No prior database or programming experience is required.
Offered: Fall & Spring Semesters All Years

BUAN 301 INTRO TO PYTHON FOR DATA ANALYTICS   3.0 Credit(s)
This course is a primer on Python programming language for students with little or no prior programming knowledge. In this course, students will start from the fundamentals of Python programming, including developing environment, language syntax, variable types, data structures, functions and control flow. Along the way, students will work with dedicated libraries for data science, such as Pandas, NumPy, SciPy, MatPlotLib, that allow students to develop analytics on data to solve challenging business problems. This course places emphasis on hands-on learning experiences that allow students to experiment with trial and error, and learn from their mistakes.
Offered: Fall & Spring Semesters All Years

BUAN 402 FINANCIAL MODELING IN PYTHON   3.0 Credit(s)
Python is a very powerful programming language that is widely used in the financial industry. This course will equip students with the programming knowledge and skills in Python to solve practical problems in quantitative finance. Specifically, students will learn how to conduct time-series and cross-sectional analyses with real-world financial data, apply and implement financial models in Python, formulate and code up simple algorithmic trading strategies, and eventually evaluate that strategy's performance and test its robustness. This course includes multiple hands-on coding exercises and projects with a focus on financial applications. Some familiarity with basic statistical and programming (in any language) concepts is necessary. Pre-requisite: BUAN 301 Prerequisite: Take BUAN-301 or CS-111
Offered: Spring Semester All Years

HRTM 301 LODGING OPERATIONS MANAGEMENT   3.0 Credit(s)
The course is designed to introduce operations in full and limited-service hotels. Topics discussed in the class include an overview and current trends in the lodging industry, hotel organization, reservations, registration, guest services and communications, hotel security, front office accounting, housekeeping, night audit, planning for operations, sales techniques, and revenue and human resources management. At the end of the course students will take the Certification in Hospitality Industry Analytics (CHIA) exam in hopes of achieving their CHIA. The certification is based upon content areas including hotel industry analytical foundations, hotel math fundamentals, property level benchmarking (STAR Reports), and industry performance reports.
Offered: Fall Semester All Years

HRTM 302 PRIVATE CLUB MANAGEMENT   3.0 Credit(s)
Private Clubs are the most personalized and service focused enterprises in an industry that is focused on service delivery. This highly specialized segment offers challenges and rewards for the right young professional. This course will explore the Private Club Industry and opportunities in depth. Types of clubs, ownership structures, departments within clubs, professional associations will all be considered. This class will include field trips and guest lectures from current industry professionals at the top of their field.
Offered: Spring Semester All Years

HRTM 401 STRATEGIC MGT IN HOSPITALITY INDUSTRY   3.0 Credit(s)
This course is designed to prepare students for any of several hospitality and hospitality related activities that they may encounter upon their departure from SHU. To accomplish this goal, the course combines readings, cases, lectures, discussion and a computer simulation in an integrative framework. The course is designed to provide them with a methodology for analyzing business situations and for developing strategic plans.
Offered: Spring Semester All Years

HRTM 402 REVENUE MANAGEMENT & PRICING   3.0 Credit(s)
Revenue management has become an increasingly popular subject in many businesses, particularly in the service sector. This course will help students to learn more about formulating tactics and strategies to maximize revenues for organizations, by thoroughly examining the role of pricing in each element of the business objective, marketing objective, and source of volume, segmentation, targeting, and positioning; and shows how pricing can be used to align the elements of strategy and execution.
Offered: Fall Semester All Years

HRTM 410 BAR AND BEVERAGE MANAGEMENT   3.0 Credit(s)
Managing a beverage service operation is highly lucrative, but full of responsibility. This course will focus on the products that we serve: Beer, Wine, Alcohol, Coffee and Tea. This course will also explore the unique nature of managing beverage operations: laws, licenses, inventory, service and profit. This course will include a nationally recognized credential.
Offered: Fall & Spring Semesters Contact Department

HRTM 411 RESORT OPERATIONS & SERVICE EXCELLENCE   3.0 Credit(s)
This course surveys resort operations with a focus on best practices and service excellence. Sustainability and luxury will be important topics and the class project will require research and creativity. Prerequisite: Take HRTM-201
Offered: Fall & Spring Semesters Contact Department

HRTM 303 INTRODUCTION TO BUSINESS ANALYTICS   3.0 Credit(s)
This course provides an introduction to the field of business analytics, which has been defined as the extensive use of data, statistical and quantitative analysis, exploratory and predictive models, and fact-based management to drive decisions and actions. The development and use of data warehouses and data marts to support business analytics is discussed. The use of key performance indicators, dashboards and scorecards for performance management and opportunity assessment are addressed.
Offered: Fall & Spring Semesters Contact Department