16 courses with the subject ANOP, 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.
Offered Both Fall and Spring; Lecture hours:3,Other:1This course serves as the introduction to quantitative modeling and basic statistical analysis in a spreadsheet-based environment, especially as they apply to managerial decision making.
Offered Both Fall and Spring; Lecture hours:3This course introduces students to the ways in which to model, analyze, and improve processes for producing services and goods. Prerequisite: ANOP 102. ENGR 226 or MATH 216 or STAT 216 or MATH 227 or STAT 227 or PSYC 215 accepted with permission of the instructor.
Offered Either Fall or Spring; Lecture hours:3Overview of programming tools and methods for analytics. Students solve computational and modeling problems using Python. This foundation of programming logic will help students understand advanced analytic tools in the upper-level Business Analytics courses. Not open to students who have taken CSCI 203.
Offered Either Fall or Spring; Lecture hours:3This course focuses on analytical techniques & their application to the sports industry. Topics include player evaluation, team ratings, scheduling and coaching strategies. Basic knowledge of Excel spreadsheets, probability, statistics & sports (specifically, baseball, basketball and football) is assumed. Prerequisites: ANOP 102 or MATH 216 or STAT 216 or MATH 227 or STAT 227 or ENGR 226 or PSYC 215.
Offered Either Fall or Spring; Lecture hours:3Databases are essential for organizations to collect, store and use data in an effective way. This course introduces students to how databases are designed and operated. The students will learn the principles of database design, the relational model and the SQL language. Prerequisite: ANOP 102 or permission of the instructor. Open to Sophomores, Juniors and Seniors.
Offered Either Fall or Spring; Lecture hours:3An introduction to the principles of data visualization and data preparation. Instruction in software to prepare and present data through the creation of tables, charts and dashboards to aid in communication of insights. Prerequisite: ANOP 102 or ENGR 215 or ENGR 226 or MATH 216 or STAT 216 or MATH 227 or or STAT 227 or PSYC 215.
Offered Either Fall or Spring; Lecture hours:3In this course students will learn the concepts and tools to model, analyze and improve global supply chain operations under a variety of contexts. Prerequisite: ANOP 102. ENGR 226 or MATH 216 or STAT 216 or MATH 227 or STAT 227 or PSYC 215 accepted with permission of the instructor.
Offered Either Fall or Spring; Lecture hours:3Decision making of individuals and groups in organizations. Topics include linear and nonlinear optimization with applications in finance and accounting, fundamentals of portfolio and risk management, and the application of Monte Carlo methods to the pricing of derivatives. Prerequisites: ACFM 124 or ACFM 203 and ANOP 102, or equivalents.
Offered Either Fall or Spring,Topics course; Lecture hours:Varies,Other:3; RepeatableIndependent Study in Analytics and Operations Management. Prerequisite: permission of the instructor.
Offered Either Fall or Spring; Lecture hours:3In this course students will learn basic concepts in quantitative supply chain modeling and simulation. Students learn methods that are used extensively in business organizations to solve large, structured problems. Prerequisite: ANOP 102. ENGR 226 or MATH 216 or STAT 216 or MATH 227 or STAT 227 or PSYC 215 accepted with permission of instructor.
Topics course,Offered Fall, Spring or Summer; Lecture hours:VariesSpecial Topics in Analytics and Operations Management. Prerequisite: permission of the instructor.
Offered Either Fall or Spring; Lecture hours:3A survey of the concepts, methods, and applications of machine learning toward problems in business. Topics include classification, prediction, and clustering. Prerequisites: (ANOP 102 or ENGR 215 or ENGR 226 or MATH 216 or STAT 216 or MATH 227 or STAT 227 or PSYC 215) and (ANOP 203 or CSCI 203). Not open to students who have taken CSCI 349.
Offered Either Fall or Spring; Lecture hours:3Study of statistical modelling and simulation techniques for data and model-based forecasting (Time Series, Smoothing Methods, Regression, ARIMA, Simulation, etc.) using a variety of software tools. Prerequisites: (ANOP 102 or ENGR 226 or MATH 216 or STAT 216 or MATH 227 or STAT 227 or PSYC 215) and (ANOP 203 or CSCI 203).
Offered Either Fall or Spring; Lecture hours:3An introduction to decision modeling and analysis using deterministic optimization models and solution methodologies. Prerequisites: (ANOP 102 or ENGR 215 or ENGR 226 or MATH 216 or STAT 216 or MATH 227 or STAT 227 or PSYC 215) and (ANOP 203 or CSCI 203). Open to juniors and seniors.
Offered Either Fall or Spring,Topics course; Lecture hours:Varies,Other:3; RepeatableHonors Course in Analytics and Operations Management. Prerequisite: permission of the instructor.
Offered Both Fall and Spring,Topics course; Lecture hours:3A culminating experience course where student teams collaborate with external clients on semester long projects leveraging the skills and concepts acquired within the Business Analytics major. Prerequisites: ANOP 330 and (ANOP 350 or ANOP 370 or MATH 358). Open to junior and senior Business Analytics majors. Others by permission of instructor.
Source: Bucknell University's catalog, linked per course · table learning_unit · CourseShelf publish 59
