23 courses with the subject BUSN, 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.
BUSN 100Introduction to Business
This course will provide a fundamental working knowledge of the varied aspects of business and prepares students for future studies in more specialized topics within the subject area. Students will increase their awareness of the overall environment and function of business as well as observe its contributions to society. This course also covers communication technology, globalization, and business ethics. Fall Credits 3
This course prepares students to complete a case analysis involving financial function and formula development, information filtering, sorting and information extraction strategies, what-if analysis, complex problem solving, macros and Visual Basic utilization, and general project development guidelines. Students gain experience working in Microsoft Office and Excel to enhance information technology competencies. Fall, Spring. Credits 3
BUSN 344Project Management for Improving Business Systems
Project Management for Improving Business Systems provides students with the essential skills and methods required to manage projects successfully within the organization. The curriculum aligns with the Project Management Institute's (PMI's) A Guide to the Project Management Body of Knowledge (PMBOK Guide) and offers a comprehensive overview of the four phases of project management: defining, planning, executing, and closing. Students will learn to evaluate and prioritize projects, identify and assess risks related to project-based improvement initiatives, allocate human and technical resources, and evaluate the quality of project deliverables against predefined standards. Fall. Credits 3 404 LMU Undergraduate Catalog
This course deals with oral and written communications topics, and the application of theory to the composition of business communications. Prerequisite: ENGL 110. Fall, Spring Credits 3
This course provides a comprehensive examination of personal financial planning issues, including money management, taxes, consumer credit, insurance, investments, retirement planning, and other consumer decisions. The goal is to teach the fundamentals of financial planning to help individuals make informed choices relating to spending, saving, borrowing, and investing. A financial calculator, excel and the internet will be used extensively in the course. No pre-requisites required. This course meets a General Education Core Curriculum Requirement. Spring. Credits 3
Includes case law study of mining, water, timber, and environmental law, addressing Federal and Indian water rights doctrines, and the emergence of Federal and State environmental law and policy, specifically addressing how water and environmental law interface with and impact each other. There will also be emphasis on the role of the mining land negotiator including lands available for mining, surface inspections, private and public leasing, negotiation and land maintenance. Spring Credits 3 402 LMU Undergraduate Catalog
BUSN 424Artificial Intelligence (AI) Literacy for Business
This course provides knowledge of Artificial Intelligence (AI) to foster literacy in various business functions. Students will learn what AI is and how AI technologies are being leveraged to improve business processes. The course emphasizes understanding the capabilities and limitations of AI systems, as well as their potential impact on business strategies. Credits 3
This course provides a survey of a number of areas of law affecting the coduct of business. Foundational information about the U.S. legal system and dispute resolution provides an understanding of the business role and responsibilities within the environment, identifies issues, and recognizes potential legal problems. The course will provide the student a practical understanding of how the law operates and the legal rights and responsibilities of parties involved in a transaction. The development of improved reasoning and problem-solving skills in an organization or individual works and be able to incorporate this knowledge into a business decision making process. Topics include: (a) the foundations of American law; (b) overview of courts and procedures; (c) torts, criminal law, and cyberlaw; (d) essentials of contract, negotiable instruments and agency law; (e) debtor-creditor relationships; (f ) forms of business organizations; (g) labor and employment law; (h) employment discrimination. Spring, Fall. Credits 3
Analytical Programming for Business provides a foundation in programming logic, techniques, and analytical methods. The course employs modern programming languages and tools, such as Python and R, to develop scalable programming solutions to business-related problems. This course focuses on the practical applications of programming such as interaction with data sources, data preparation, processing data with logical operations, analyzing the data to conclude insights, and visualizing and reporting the data. The student will also learn to debug code, manipulate data structures and prepare data for analysis, automate workflows, and apply foundational statistical, data visualization, and machine learning techniques. Fall. Credits 3
must be a junior or senior or have permission from the instructor.
BUSN 445Applied Problem-Solving for Business Systems
Applied Problem-Solving for Business Analysis introduces business students to the use of quantitative tools and structured methods for effective data-based problem solving and decision analysis. The course develops skills necessary to formulate, evaluate, and communicate solutions based on evidence and data. It covers the four major stages of problem solving - problem identification and definition, developing theories and hypotheses relationships, analyzing data and evidence to validate or invalidate causal theories, and effectively communicating recommended solutions. The focus is on business process improvement and provides an overview of some of the common systematic approaches for business problem solving used in the investigation of relationships with data. Spring. Credits 3
This course develops student skills in basic financial analysis tools including capital budgeting, ratio analysis, interest rates, and risk analysis. Prerequisites: ACCT 210, 211; Junior status. Fall Credits 3
Provides personal hands-on experience in the energy industry by combining the traditional academic classroom concepts with practical experience gained through the internship, such as titles searches. Proficiency in keyboarding and basic computer skills are expected for the work performed in an internship. (Repeatable up to 9 hours Fall, Spring, Summer
Doctoral statistics is a course in applied statistics. It assumes students have a fundamental knowledge of statistical methodologies. Topics such as hypothesis testing, measures of central tendency, measures of variability, analysis of variance and regression analysis will be reviewed. Credits 3
This course will allow students to extend their research skills by exploring qualitative research methodology and design types. The course will cover qualitative designs such as case study, phenomenology, grounded theory, and ethnography. Students will demonstrate practical knowledge in solving problems as they engage in the practical application of writing and critical-thinking skills with solid theoretical foundations underlying social and behavioral research methods applied to the study of business organizations. Dissertation design and format will be covered. Credits 3 270
This course introduces students to the quantitative method of design and analysis in a research study. Students will learn how to critique and evaluate existing research using a variety of theoretical and methodological perspectives. Students will learn to use quantitative data-management and analysis techniques and will utilize SPSS software for these processes. Specifically, students will be introduced to quantitative survey research methods, building on the premise that statistical methods can be applied in a practical fashion. Students will be guided through the various steps of the survey research process and will apply learning through a course project. This course covers basic concepts underlying statistical and quantitative reasoning but is not intended for students to become fully grounded in statistical methods. Credits 3
This course introduces multivariate methods and provides students with instruction in fundamental concepts of data refinement, analysis, and interpretation. Concepts are applied in a multidisciplinary fashion covering various business functions and the social sciences. Particular interest is given to managerial decision-making and application with regards to research. Credits 3
