10 courses with the subject DATA, 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.
This course is a survey of analytics concepts; principles; techniques and theories. The goal of the course is to expose students to how analytics assists a decision-maker in a competitive information-driven world. Credits 1 2025-2026 Alfred University Undergraduate Catalog
This course surveys the fundamental concepts of computing. Topics include algorithms and structuring programming logic; flowcharts and pseudocodes; fundamentals of object- oriented programming; developer environment; defining variables; conditional statements; loops; arrays; and user interface design. Credits 3 Degree Attributes CoB: Natural Science
This course expands on the data analytics techniques and methods introduced in MIS 101. Students advance their skills in understanding problems; developing modelling strategies; gathering; organizing; and processing raw data; and interpreting and communicating the results. Credits 3 Degree Attributes CoB: Natural Science
ENVS/GEOL 206 Fieldcraft-Outdoor Proficiency 4
This course introduces the essentials database management with Microsoft Access. The topics covered include conceptual; logical and physical database design; entity relationship diagrams; creation and modification of tables in relational databases; basic and extended query formulation; and normalization techniques. Credits 3 Degree Attributes CoB: Natural Science
This course introduces the essentials database management with Microsoft Access. The topics covered include conceptual; logical and physical database design; entity relationship diagrams; creation and modification of tables in relational databases; basic and extended query formulation; and normalization techniques. Credits 3 Degree Attributes CoB: Natural Science
Students will demonstrate mastery of analytic concepts; methods and skills by completing a project linking academic learning with a real-world analytic problem. Upon completion of the project; students will communicate results in both written and oral communications. Projects may be individual or team based; and may focus on a real-world or a research application. Credits 3 Degree Attributes CoB: Field Experience
This course is an opportunity for students to learn from each other; as well as professionals in the area of data analytics. Sharing experiences and learning from their capstones; as well as exploration of additional topics in data analytics related to the aspirations of the students. Credits 1
Credits 1-4
Source: Alfred University's catalog, linked per course · table learning_unit · CourseShelf publish 61
