Business Systems Analysis (BSAN)

BSAN 111. Introduction to Business Analytics. 1 Unit.

This course provides an introduction to business analytics and builds quantitative skills using application software. By end of the course students will be able to apply broad statistical concepts and analyze data using Excel.

BSAN 179. Chess. 0.25 Units.

An introduction to the game of chess. After presenting the basic principles of the game (how the pieces move and capture, checkmate and stalemate, etc.), the class will cover winning chess strategies and tactics. Students should be capable players by the end of the course. The class does not assume any previous knowledge of the game. Chess requires ability in strategic thinking, analytic decision making, and problem-solving - skills that are readily transferable to a variety of real-world contexts.

BSAN 180. BSAN Elective. 1 Unit.

BSAN 190. Special Topics in Business Systems and Analytics. 0.5 or 1 Units.

BSAN 250. Business Systems & Analytics. 1 Unit.

This course provides the student with a thorough understanding of the issues and concerns surrounding the use and development of information systems and analytics. Designed to provide a broad perspective for understanding the nature of the use of business systems and analytics for competitive advantage and the management of information resources in traditional and extended organizations. Prerequisites: Excel Certification or BSAN 111 or Sophomore Standing.

BSAN 285. Independent Study. 0.5 or 1 Units.

BSAN 290. Special Topics in Business Systems and Analytics. 0.5 or 1 Units.

BSAN 300. Programming for Analytics. 1 Unit.

This course provides the student with an introduction to programming concepts and structures utilizing an object-oriented programming language. An in-depth coverage of object definitions, object properties, and object behavior is provided. Principles of programming style and good program design techniques are emphasized. Advanced projects cover business applications. Prerequisite: BSAN 111 or BSAN 250, or SOBA 201.

BSAN 323V. Health Anamatics: Analytics, Informatics and Healthcare. 1 Unit.

This course focuses on Stetson's Health and Wellness Value. This course in an interdisciplinary and integrative field involving the data, systems, technologies, analytics, and delivery to inform decision makers and improve the value-based delivery of healthcare. In addition, political, economic, social, technical, ethical, and legal implications of data-driven healthcare decision-making are explored from a global perspective. The healthcare industry generates nearly 1/3 of the world’s data and healthcare will be the largest employment sector within the next decade. This course provides real-world rigor, reinforces principles of excellence in writing, and enables hands-on learning with enterprise leading SAS analytics global software, used at over 80,000 customer sites in approximately 150 countries. Junior Seminar.

BSAN 328V. Applications Development for E-Business. 1 Unit.

This course focuses on Stetson's Human Diversity Value. This course examines the design and implementation of web-based applications systems using an event-driven/object oriented development platform. Included is in-depth coverage of the technologies required for the implementation of E-Business web sites. Topics include E-Business web site design, Server-side development technologies, Cascading Style Sheets, Web Data Access, XML, and Ajax Web Development. A web application development project is used as a medium to allow students to practice their implementation skills as well as design side skills in the areas of database design and normalization, user interface design, program usability considerations, and the system development life cycle. Junior Seminar.

BSAN 351V. Technology Globalization and Social Justice. 1 Unit.

This course focuses on Stetson's Social Justice Value. This course is intended to enable students to understand and to respond to contemporary social issues that arise from the use of information technology. Students will explore cultural, economical, global, and ethical considerations arising from computerization. The primary focus of the course will be the determination of the weight that these social issues should have in the design, implementation, and uses of present and anticipated applications of information and communication technology on individuals, industry, government, and society. Prerequisite: SOBA 203.

BSAN 360. Project Management. 1 Unit.

This course focuses on the fundamental knowledge essential to managing, planning, scheduling and controlling projects in the information technology field with emphasis placed upon the understanding of the project environment, the phased approached to managing projects, critical path analysis, and the tools used to manage projects. The concepts and techniques covered are appropriate for all types of 254 projects, ranging from small to large, and from highly technological to administrative in nature. Prerequisite: BSAN 250 or SOBA 203.

BSAN 363. Cloud Computing. 1 Unit.

This course introduces students to the essential concepts and technologies of cloud computing, its history, innovation, and business rationale. This project-based course focuses on skill building across various aspects of cloud computing. We cover conceptual topics and provide hands-on experience through projects utilizing public cloud infrastructures, specifically Amazon Web Services (AWS), Topics include: Cloud computing overview, Public cloud infrastructures, Virtualization, Cloud storage, cloud computing deployment models, basic issues in cloud security and an introduction to AWS services. Prerequisite, SOBA 203.

BSAN 370. Electronic Commerce. 1 Unit.

This course provides an introduction to the concept and application of E-Business and E-Commerce from a business perspective. Topics include, infrastructure for E-Commerce, E-Commerce business models, and the use of E-Commerce in organizations for competitive advantage. Prerequisite: BSAN 250 or SOBA 203.

BSAN 382. Web Development. 1 Unit.

This is an applied course in the design and development of high quality web sites. Students will learn basic HTML, webpage development software, and graphic/photo editing software. An emphasis is placed on creating, managing and maintaining an entire web site. The goal of this course is to give the student the ability to integrate design principles and practical software skills in the web environment. Prerequisite: BSAN 250 or SOBA 203.

BSAN 383. Descriptive Analytics and Visualization. 1 Unit.

This course introduces the concept of Business Intelligence (BI). Students will learn how BI is used by organizations to make better business decisions, use fewer resources, and improve the bottom line. This course provides an overview of business intelligence topics as well as hands-on experiences. Topics include business analytics, data visualization, data mining, data warehousing and business performance management. Prerequisite: BSAN 250 or SOBA 203.

BSAN 385. Independent Study. 0.25 or 1 Units.

BSAN 390. Special Topics in Business Systems and Analytics. 0.5 or 1 Units.

This course is designed to acquaint students with current trends and issues in information technology by focusing on one of a number of information technology topics. Topics currently addressed in this course are Database Applications, Advanced Spreadsheet Analysis, or Open-Source Web Site Development. Prerequisite: BSAN 250 or SOBA 203.

BSAN 393. Communications Networks. 1 Unit.

This course provides an in-depth examination of data communication processes and structure. Central focus is on LAN, WAN, and Intranet technologies, as well as design and implementation of networking applications within the organization. Prerequisite: BSAN 250 or SOBA 203.

BSAN 395. Teaching Apprenticeship. 0.5 Units.

BSAN 397. Internship. 0.5 or 1 Units.

Students will complete an internship in business systems and analytics at a business, overnmental or not-for-profit organization. Emphasis is on a relevant learning environment and acquisition of appropriate career skills at a suitable level of authority and responsibility. Internships require 200 hours (1-unit) or 100 hours (0.5 unit) within a semester time frame. A maximum of one unit of internship credit can be used as an elective towards the major. Prerequisites: Permission of Faculty Instructor and Department Chair; BSAN 250 or SOBA 203; 2.5 GPA; Business Systems and Analytics Major.Enrollment in an internship course requires students to attend an orientation prior to beginning work at their internship site. For more information regarding internship orientations, please contact Career & Professional Development at career@stetson.edu or 386-822-7315.

BSAN 398. Databases and Big Data. 1 Unit.

This course provides in-depth coverage of enterprise level database technology issues including data modeling, logical and physical table design, and implementation in a relational DBMS environment. Students gain hands-on experience in the use of enterprise-level development techniques such as CASE tools and advanced SQL. Prerequisite: BSAN 250 or SOBA 203.

BSAN 461. Business Process Management. 1 Unit.

This course provides an extensive investigation of a company’s core business processes and the interactions within and between them. The primary focus of this course is the application of information technologies to transform organizations and improve their performance. Students will gain in-depth knowledge of enterprise systems, to include hands-on experience with SAP ERD software, and the role they play in changing organizations. Prerequisite: BSAN 250 or SOBA 203.

BSAN 463. Prescriptive Analytics. 1 Unit.

Prescriptive analytics includes methodologies for determining the best course of action for managerial decision problems. The goal is to identify the best or optimal alternative(s) in situations with a large number of alternatives with specific financial or other characteristics and limitations. Topics include linear, integer and goal programming, decision analysis, and other optimization models. Business applications of these methodologies to production planning, location analysis, personnel planning, transportation, capital budgeting, financial portfolio analysis and other areas will be discussed. Spreadsheet based software will be used. Prerequisite: STAT 301Q.

BSAN 465. Predictive Analytics. 1 Unit.

This course provides an introduction to predictive analytics techniques used in business and social science research. Using enterprise-class analytic software, students will learn how to build predictive models using techniques such as logistic regression, discriminant analysis, cluster analysis, and decision trees. Prerequisite: STAT 301Q or equivalent.

BSAN 481. Social Media Analytics. 1 Unit.

This course introduces technologies and managerial issues related to social media analytics (SMA). Students will learn the importance of social media in influencing the reputation of contemporary businesses, examine text mining, sentiment analysis, and social network analysis, and apply the concepts, techniques, and tools to analyzing social media data. Real-world data such as online reviews, microblog postings, human interaction networks, and business networks will be studies. Hands-on training will be provided using a variety of software tools. Prerequisites: STAT 301Q (or equivalent) and junior/senior standing, or permission of instructor.

BSAN 485. Independent Study. 0.5 or 1 Units.

BSAN 490. Special Topics in Business Systems and Analytics. 0.5 or 1 Units.

BSAN 494. Business Analysis. 1 Unit.

This course will provide instruction and educational content to students in each of the 53 Performance Competencies outlined in the IIBA Business Analysis Competency Model. Student will gain knowledge essential to planning, analysis, design, and implementation. Upon successful completion of the course, students will have the knowledge to perform effectively as an entry-level business analyst and be eligible for an Academic Certificate in Business Analysis. Prerequisite: BSAN 398, BSAN 300 and BSAN 383.

BSAN 501. Current Topics in Information Technology. 3 Credits.

This course is designed to acquaint students with current trends and issues in information technology by focusing on one of a number of information technology topics. Topics currently addressed in this course are Ethics and Technology, Information Technology Project Management, System Dynamics Modeling, or Digital Inclusion. Graduate only.

BSAN 508. Managerial Decision Analytics. 3 Credits.

An analysis of the quantitative decision making process in management. This course explores the relationship between business intelligence and management decision making both in theory and in practical terms. Students learn how to apply a variety of quantitative tools to decision situations. Emphasis is placed on decision theory, forecasting, linear programming, queuing, simulation and other decision making tools. Graduate only.

BSAN 523. Applied Health Analytics. 3 Credits.

This course is designed to provide an applied health analytics management overview of healthcare information systems administration, healthcare dataanalytics, and healthcare future trends. Healthcare systems generate nearly 1/3 of the world’s data and the healthcare industry will be the largest employmentsector within the next decade. Healthcare stakeholders are promised a better world through data analytics by eliminating medical errors, reducing readmissions, providing evidence based care, demonstrating quality outcomes, and adding cost efficiencies among others. There is significant demand to take advantage of increasing amounts of data by utilizing analytics for executive insights and decision making in healthcare. This course combines clinical healthcare concepts with analytics knowledge, through applied experientiallearning exercises and case studies to improve value-based management of healthcare.

BSAN 525. Programming for Analytics. 3 Credits.

This course provides the student with an introduction to programming concepts and structures utilizing a popular programming language in the field of analytics. An in depth coverage of programming fundamentals and analytics programming techniques is provided. Principles of programming style and good program design principles are emphasized. Advanced projects cover real-world applications.

BSAN 527. Machine Learning for Business Decisions. 3 Credits.

This course demonstrates the application of several machine learning methods for addressing practical problems that arise in business. Emphasis will be given to preprocessing methods such as feature selection, feature extraction, dimensionality reduction, unsupervised learning (clustering), supervised learning (Classification) and data visualization. Methods will be introduced and demonstrated through a business-related series of case studies from manufacturing, production systems, healthcare, finance industry and marketing. Prerequisite: BSAN 508.

BSAN 535. Databases and Big Data for Analysis. 3 Credits.

This course provides in-depth coverage of enterprise level database technology issues including data modeling, logical and physical table design, and implementation in a non-relational environment. Students gain hands-on experience in the implementation of enterprise-level development techniques such as SQL and MongoDB.

BSAN 561. Introduction to Business Processes and ERP Systems. 3 Credits.

This course provides an examination of the core business processes of organizations as implemented in ERP systems. The primary focus of this course is the application of information technologies, specifically ERP systems, to transform organizations and improve their performance. Students will gain in-depth knowledge of enterprise systems, to include hands-on ERP system experience and an examination of the role ERP systemsplay in changing organizations. Prerequisites: SOBA 506 and SOBA 507. Graduate Only.

BSAN 591. Technology for Business Transformation. 3 Credits.

Using case analysis, class discussion, and problem solving exercises, this course explores the critical factors affecting business success through the use of information technology. Business strategy issues, uses of business intelligence, e-business technologies, streamlining business operations, creating an environment that builds innovation and organizational transformation are discussed in detail. Graduate only.

BSAN 592. Corporate Information Strategy and Management. 3 Credits.

This course examines how information technology (IT) enables organizations to conduct business in radically different and more effective ways. The focus is on IT strategy implementation and how it is managed at the corporate level to enable strategic competitive advantage. Graduate only.

BSAN 593. Electronic Commerce. 3 Credits.

This course provides and in-depth examination of the concept and application of electronic commerce from a managerial perspective. The evolving application of E-Commerce as a means of obtaining competitive advantage and achieving organizational objectives is examined. Case analysis, class discussion, and problem solving exercises are used extensively. Topics include, infrastructure for E-Commerce, E-Commerce business models, and current issues surrounding the implementation of E-Commerce in organizations. Graduate only.

BSAN 594. Project Management. 3 Credits.

This course provides in-depth knowledge essential to managing projects in the information technology field. It considers strategic and operational issues, the significance of rapidly advancing technology, and personnel and organizational issues relating to technology introduction and use. This course focuses on the fundamental aspects of managing projects-planning, scheduling, and controlling. The concepts and techniques covered are appropriate for all types of projects, ranging from small to large, and from highly technological to administrative in nature. Graduate only.

BSAN 594C. Project Management. 10 Credits.