27 courses with the subject BSA, each shown exactly as we captured it from the college's catalog, with every element we hold. Where the wording looks broken, that is our reading of the catalog, not the college's text.
BSA 302Applied Regression Modeling and Visualization
This course is a data-driven, applied course focusing on the analysis of data using regression models and visualization techniques. It emphasizes applications to the analysis of business data and makes extensive use of computer statistical packages. Topics include simple and multiple linear regression, residual analysis and other regression diagnostics, model selection, classification (logistic regression), exploratory graphic techniques in modeling, and design principles for creating meaningful displays of data to facilitate decision making. All topics are illustrated on real-world data sets obtained from various disciplines to include accounting, finance, management, sales and marketing, operations, and risk management. Prerequisite(s): BUS 202 or equivalent
This course introduces students to the application of data science and analytics in sports. Students are familiarized with the descriptive, predictive, and prescriptive analytical tools and techniques for on-field performance and off-field business decisions. Topics include but are not limited to player performance evaluation, training, selection, and acquisition; team formation, evaluation, and management; and in-game strategy. Students form interdisciplinary teams and work sports data on a group project in a sport of their choice. Prerequisite(s): BUS 202 or equivalent
This is a full-time, paid, approximately four-month assignment in a cooperating firm. Involves job-related learning under faculty supervision.The position must be approved by the Business Systems and Analytics Department. For registration information, students in the Business Scholars Co-op Program should consult with the Director of the program, and students who are not in the Business Scholars Program should consult with the Associate Director for Experiential Education in Career Services. A co-op counts as a free elective and not as a course in the major. Grading for co-ops is on a pass/fail basis (grading for internships is on a letter grade, i.e., not pass/fail, basis); the faculty member who is supervising the experience has the discretion as to whether to roster it as a co-op or internship. Students in the Business Scholars Co-op Program must take it pass/fail. Prerequisite(s): 2.5 minimum GPA (higher for students in the Business Scholars Co-op Program) and completion of BUS 205 and preferably an upper-level major course
BSA 360Part-Time Internship in Business Systems and Analytics
Part-time, generally non-paid employment in a company or organizational setting to provide on-the-job training. Involves appropriate job-related learning assignments under faculty supervision. The position must be approved by the Department. Consult the Associate Director for Experiential Education in Career Services before registering or for further information. An internship counts as an elective and not as a course in the major. Grading for internships is on a letter grade, i.e., not pass/fail, basis. The number 360 is used if taken in junior year and 460 if taken in senior year. Prerequisite(s): 2.5 minimum GPA and completion of BUS 205 and preferably an upper-level major course, or permission of the
BSA 365Full-Time Internship in Business Systems and Analytics
Full-time paid employment in a company or organizational setting to provide on-the-job training. Involves appropriate job-related learning assignments under faculty supervision.The position must be approved by the Department. Consult the Associate Director for Experiential Education in Career Services before registering or for further information. An internship counts as a free elective and not as a course in the major. Grading for internships is on a letter grade, i.e., not pass/fail, basis (grading for co-ops is on a pass/fail basis); the faculty member who is supervising the experience has the discretion as to whether to roster it as a co-op or internship. The number 365 is used if taken in junior year and 465 if taken in senior year. Prerequisite(s): 2.5 minimum GPA and completion of BUS 205 and preferably an upper-level major course
This course is designed to address contemporary issues and interests in Business Systems and Analytics. Such topics as as Process Analytics and Optimization, Network Analysis: Web Analytics/Social Network Analysis, and Business Forecasting will be offered in various semesters. La Salle University Catalog 2023-2024 - Undergraduate 323
This course introduces students to the knowledge and skills required to effectively manage projects across a range of business and technical disciplines. It also provides an overview of the Project Management Institute’s Guide to the Project Management Body of Knowledge. The course begins by describing the similarities and differences between project management and general management, as well as project management life cycles, phases, stakeholders, and process groups. Students become familiar with project management software and use this software as they complete assignments and a course project. The course reviews the core project management knowledge areas, including integration, scope, time, cost, quality, human resources, communications, risk, and procurement. Students work in teams that apply key skills and knowledge areas presented in the course. Prerequisite: sophomore standing.
BSA 385Business Intelligence and Knowledge Management
This course is about the manager's responsibilities for decision making in the Information Age using Decision Support Systems (DSS) and Expert Systems (ES). DSS topics include: Data Management, Modeling and Model Management, User Interface, Executive and Organizational Systems, Group Decision Support Systems (GDSS), and DSS Building Process and Tools, including Spreadsheets, Natural Language Programming, and Influence Diagramming. ES topics include: Applied Artificial Intelligence, Knowledge Acquisition and Validation, Knowledge Representation, Inferencing, and ES Building Process and Tools. Students are required to apply DSS and ES software packages in a hands-on environment. Prerequisite(s): BUS 205 or equivalent
This course explores a problem solving methodology that employs computer programming and scripting. Emphasis is placed on identifying the capabilities and limitations of statistical computing languages for big data. Students will learn skills and techniques to solve big data problems through a series of steps that involve identification of problems, design of the solution logic, formal representation of program specifications, and implementation of it using selected high level languages such as R, Python, and Hadoop. This is a hands-on course. Students will design and develop several computer programs throughout the term. Prerequisite(s): BUS 205 or equivalent
BSA 405Emerging Trends in Business Systems and Analytics
This course is designed to introduce students to one of several areas of multi-disciplinary emerging trends in Business Systems and Analytics. Students will learn the fundamental principles and concepts of a specific topic, its applicable technology, the design and implementation of the systems that support the area of study, and methods for measuring efficacy. Evolving technologies will be addressed as appropriate, and their relevance to business pursuits will be discussed and analyzed. Lectures and case studies will be used to give the student a solid understanding of the topic. A group project to develop and present an area initiative/ concept will be the capstone of this course. This course is offered under different titles and can be repeated for additional credit when taken as a different topic. Prerequisite(s): Varies by topic Data Visualization: One of the skills that characterize great business data analysts is the ability to communicate practical implications of quantitative analyses to any kind of audience member. In this course, students will learn how to visualize data, tell a story, and explore data by reviewing the core principles of data visualizing and dashboarding. The course aims to focus on effective and high impact visualizations of common data analyses to help them convey conclusions directly and clearly. Students will be able to get practiced in designing and persuasively presenting business “data stories” that use these visualizations, helping stakeholders make decisions and take action based on their business data capitalizing on design principles.
Subject
BSA
Type
course
Repeatable
can be repeated for additional credit when taken as a different topic.
Complex business systems and organizations are examined, with the goal of discovering their structure and information flow. Tools such as the Entity-Relationship Diagram, Data Structure Diagram, Data Flow Diagram, Data Dictionary, and Process Specifications are used to develop Systems Specifications. The blueprint developed during the systems analysis phase will be used to design and develop efficient and effective databse applications. To demonstrate acquired skills, students design and develop a relational database application with a database management system and write SQL statements to extract information. Prerequisite(s): BUS 205 or equivalent
BSA 420Data Warehousing and Data Mining in Business3
9 BSA 480 Business Systems and Analytics Capstone 3 Critical Thinking and Problem Solving Skills BSA Learning Goal 3: Solve business problems and make business decisions with information systems and analytics tools and technologies. BSA Learning Objective: Demonstrate the ability to formulate problems and develop and apply data-driven solutions to business problems and decisions using information systems and analytics tools and technologies. Code Title Credits Courses in the Core Curriculum that Serve as Foundation
This is a full-time, paid, four-to-eight month assignment in a cooperating firm. Involves job-related learning under faculty supervision. The position must be approved by the Business Systems and Analytics Department. For registration information, students in the Business Scholars Co-op Program should consult with the Director of the program, and students who are not in the Business Scholars Co-op Program should consult with the Associate Director for Experiential Education in Career Services. A co-op counts as a free elective and not as a course in the major. Grading for co-ops is on a pass/fail basis (grading for internships is on a letter grade, i.e., not pass/fail, basis); the faculty member who is supervising the experience has the discretion as to whether to roster it as a co-op or internship. Students in the Business Scholars Co-op Program must take it pass/fail. Prerequisite(s): 2.5 minimum GPA (higher for students in the Business Scholars Co-op Program) and completion of BUS 205 and preferably an upper-level major course
BSA 460Part-Time Internship in Business Systems and Analytics
Part-time, generally non-paid employment in a company or organizational setting to provide on-the-job training. Involves appropriate job-related learning assignments under faculty supervision. The position must be approved by the Department. Consult the Associate Director for Experiential Education in Career Services before registering or for further information. An internship counts as an elective and not as a course in the major. Grading for internships is on a letter grade, i.e., not pass/fail, basis. The number 360 is used if taken in junior year and 460 if taken in senior year. Prerequisite(s): 2.5 minimum GPA and completion of BUS 205 and preferably an upper-level major course, or permission of the
This course is designed to introduce students to the principles of business application programming for business analytics using selected high-level languages such as R, Python, and Hadoop. Emphasis is placed on identifying the capabilities and limitations of statistical computing languages for big data. Students will learn skills and techniques to solve big data problems through a series of steps that involve identification of problems, design of the solution logic, formal representation of program specifications, and implementation. The focus is on accessing data from multiple sources, manipulating different types of programming objects, performing character manipulation, and generating reports. Students will design and develop several computer programs throughout the term. Prerequisite(s): MBA 693
BSA 705Emerging Topics in Business Systems & Analytics
This course is designed to introduce students to one of several areas of emerging trends and technologies in Business Systems and Analytics. Students will learn the fundamental principles and concepts of analytics in a specific business domain and implement descriptive, predictive and prescriptive analytics tools and technologies that support data, information, and knowledge management in the area of study. Course titles include, but are not limited to, Accounting Analytics, Financial Analytics, Healthcare Analytics, Human Resources (HR) Analytics, Marketing Analytics, Sports Analytics, and Supply Chain Analytics among others. This course is offered under different topics and can be repeated for additional credit when taken as a different topic.
Subject
BSA
Type
course
Repeatable
can be repeated for additional credit when taken as a different topic.
This course is about structured analysis and design methodology for complex business systems. Students become familiar and use Entity Relationship Diagrams, Data Structure Diagrams, Data Flow Diagrams, Data Dictionaries, and Process Specifications to develop Systems Specifications. These specifications are utilized as the blueprint to develop and implement relational databases, and explore the Structured Query Language (SQL) used to manipulate and operate the database. Prerequisite(s): MBA 693
Today's healthcare organizations are under intense regulatory and financial pressures to improve quality, efficiency, patient safety, patient satisfaction, and positive outcomes. This course is concerned with the study of how descriptive, diagnostics, predictive, and prescriptive analytics tools and techniques can impact the overall performance of healthcare organizations. Students learn to extract, collect, analyze, visualize, and interpret data from patient health records, insurance claims, financial records, and tell a compelling and actionable story. Class exercises enable students to understand ways to improve the effectiveness and efficiency of healthcare organizations. Prerequisite(s): MBA 693
This course introduces students to decision making and problem solving with simulation and optimization tools and techniques. Students learn to formulate and construct a decision model with spreadsheets and use the optimization tools, Monte Carlo simulation, and sensitivity analysis to generate and interpret solutions. The course covers different types of optimization and simulation models, including linear programming, sensitivity analysis, integer linear programming, goal programming, multiple objective optimization, simulation modeling, and queuing theory. Prerequisite(s): MBA 693
BSA 735Machine Learning with Business Applications
This course covers the fundamentals of machine learning used to solve business problems and improve business decisions through supervised (predictive) and unsupervised (descriptive) methods and applications. The course starts with supervised learning methods, including Linear Regression and Logistic Regression, Decision Trees, Random Forest, Support Vector Machines (SVM), Gradient Boosting Algorithms, and K-Nearest Neighbors (KNN). The course will then focus on unsupervised methods, including K-Means Clustering, Hierarchical Clustering, and dimensionality reduction
One of the skills that characterize great business data analysts is the ability to communicate practical implications of quantitative analyses to any kind of audience member. In this course, students will learn how to visualize data, tell a story, and explore data by reviewing the core principles of data visualizing and dashboarding. The course aims to focus on effective and high impact visualizations of common data analyses to help them convey conclusions directly and clearly. Students will be able to get practiced in designing and persuasively presenting business "data stories" that use these visualizations, helping stakeholders make decisions and take action based on their business data capitalizing on design principles. Prerequisite(s): MBA 693
The course aims at developing the analytical mindset and skills in measuring supply chain impact on financial performance and risk. The course would also aim at applying specific knowledge of supply chain finance, Risk definition and models, supply chain risk management process, Qualitative and Quantitative Risk Assessment techniques.
BSA 780Applied Research in Business Systems and Analytics
This customized course provides students with a unique opportunity to integrate their academic work with a wide range of professional studies including but not limited to independent studies, research projects, or internships. Prerequisite(s): MBA 693 and Approval of supervising professor and program director
