Credits 1-3
- Subject
- ENGR
- Type
- course
- Edition
- 2025-2026-undergraduate
- Source
- www.alfred.edu
36 courses with the subject ENGR, 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.
Credits 1-3
Credits 0
An introduction to engineering with consideration of real engineering problems; such as those identified as Engineering Grand Challenges by the National Academy of Engineering. This course is taught in a project-based learning environment. Credits 2
An introduction to 3D conceptualization; computer aided solid modeling and design; engineering drawings; and simulation using SolidWorks. The class is conducted in a learning-laboratory style in which students exercise a self- paced individual learning experience through the completion of class projects and weekly quizzes. Credits 2
ELEC 220, ELEC 223, ELEC 325, or ENGR 220 2-4
The Machine Shop Training course is designed to give the students the necessary training required to take MECH 366: Manufacturing and is required for any student who plans on using shop equipment in the future for school projects or clubs. There is a hands-on laboratory course which covers machining practices and topics such as shop safety; material properties; precision measurement; blue print reading; and Geometric Dimensioning and Tolerances. Credits 1
This is a hands-on laboratory course which covers machining practices and topics such as shop safety; precision measurement; blue print reading; and Geometric Dimensioning and Tolerance. Credits 0
An Engineering Exploration course focusing on mechanical engineering. This hands-on laboratory course covers data collection; analysis and reporting. First-year engineering students enroll in two different Engineering Exploration courses. Credits 1
Credits 0
Engineering Foundations 2 uses an integrated experiential approach. This project-based course introduces students to the engineering fields offered at Alfred University. Students learn hands-on how to design; communicate; and record their experiences effectively. This course is supported by assignments in ENGR 106 Engineering Communications Laboratory and by ENGR 101 Engineering Foundations I. Pre- or co-requisite ENGL 101 or equivalent. Credit permitted for only one of ENGR 117 or ENGR 111-116. Credits 2
Credits 0
This course begins by introducing students to the basics of drone functions and flying. While learning to fly effectively with and without GPS; students will gain an understanding of the safety and operational requirements necessary to successfully complete the FAA Unmanned Aircraft General test to become fully-licensed drone pilots. In addition to learning to fly drones; students will gain an understanding of how drones can be deployed for commercial use with an emphasis on drone deployment in agriculture.This year-and- a-half course will provide students with opportunities to perfect their flying; study career opportunities with drones; and gain the knowledge necessary to pass the FAA Unmanned Aircraft General test. Independent study of topics; collaboration as part of a drone team; and hands on flight experience will prepare students for the real world of drone operation and the beginning of a career in drones. Credits 2
A series of lectures each semester for first year engineering students on topics of importance to engineers. Attendance mandatory. Credits 0
Credits 2-4 ENGR 204
Throughout history; technological discoveries have enabled humanity to do new things in new ways. In some cases; these discoveries have been driven by disaster or led to disaster. In this course; we examine a number of such discoveries. We place the events in cultural; technical; historical; environmental; and ethical context. Counts toward the Humanities/Social Sciences requirement. Prerequisite: Sophomore standing. Credits 2 Degree Attributes CoB: Humanities SoE: Other Humanities/Soc Sci 454
Voltage and current laws; voltage and current sources; resistor; capacitor; and inductor. Series and parallel circuits; equivalent circuits; mesh and node equations; sinusoidal response; electric power and energy. Prerequisite: PHYS 126; pre- or co-requisite: MATH 271. Credits 4
Credits 0
Credits 1-4
Statistics as a tool in scientific and engineering applications. Topics include design of experiments; hypothesis testing; analysis of variance; regression analysis; statistical quality control; Bayesian decision-making and industrial applications and design. Credits 3 Degree Attributes CoB: Quant Reasoning
This course enables students to understand economic aspects of an engineering project. They learn some engineering economic tools including analysis of financial statement; understanding of the concept of the time value of money; proficiency in calculating equivalent cash flows; and capability of evaluating investment projects. Credits 2
Students conduct renewable energy related projects in various industrial settings. They develop a systematic view for power grids with renewable energy sources integrated in power generation; transmission/distribution; storage; and consumption. The first component of the course is delivered in a classroom setting; covering contemporary issues and industrial practices. The second component of the course is an internship. Work for a company and/or travel to the company would be required. Credits 2
A series of lectures each semester for sophomore; junior; and senior engineering students on topics of importance to engineers. Attendance mandatory. Credits 0
This is an optional course for students in the E-LEAD (Engineering Leadership Education and Development) program. Students gain practical experience to apply leadership skills in the design and deployment of a project. credit Credits 1 455
Students who have completed an internship in an engineering field can take this course to earn credit for that experience (4 weeks of 40 hrs per week = 1 credit hour). Must be Sophomore standing. Credits 1-3
Complex numbers; algebra; functions and integration. Taylor and Laurent series; theory of residues; conformal mapping; and the Schwarz-Christoffel transformation. Applications to fluid dynamics; electrostatics and electrical machines. Impulse functions. Applications to Fourier transforms and the inversion of the LaPlace transform. Some linear algebra and matrix theory introduced as needed for an understanding of dynamic systems. Credits 3
This course introduces the junior-level student to engineering design as a part of the capstone experience. Students learn basic design principles and study some selected examples. Small teams of students complete a design project. Prerequisite: Junior standing or permission of the instructor. Credits 2
Special topics in engineering are offered. Topics vary from year to year. Credits 2-4 2025-2026 Alfred University Undergraduate Catalog
An introduction to the application of statistical principles an concepts to manufacturing. Emphasis is on real-world issues and sample sizes with use of Six Sigma and Lean Manufacturing concepts implemented on a real-world basis. Course concludes with Six Sigma Yellow Belt Certification Exam. Credits 3
Academic inquiry into an area not covered in any established course; and carried on outside the usual instructor/classroom setting. Junior or senior standing and approved Plan of Study required. Credits 1-4
Genetic Algorithms; GA; is a collection of search and optimization techniques that function according to the evolutionary processes. Simple GA; classifier systems; GA with variable population size; and GA in machine learning context are introduced. Also; selected applications in optimization techniques and prediction methods are discussed. This is a project-oriented course. Students should have knowledge of C++; MATLAB; or a similar programming language. Credits 3
d Life Predictions Lab Fundamentals of battery chemistry and the degradation mechanisms; battery degradation data acquisition in lab; essential data science skills for analyzing battery data and application of machine learning modeling in the prediction of battery degradation. Credits 0
Total Credits 56 343 2025-2026 Alfred University Undergraduate Catalog
In this course we study optimization as an engineering design tool. Topics covered include nonlinear programming; computational techniques for unconstrained and constrained problems; conjugate gradient; feasible directions methods; and design applications. Credits 3
This capstone project is conducted by a group of students; typically over two consecutive semesters. Successful projects involve project planning and management; decision-making under realistic constraints; problem solving; data collection; analysis; and evaluation; and communication of results in a poster presentation and written report. Repeatable for credit up to 4 credit hours. Prerequisite: senior standing. Credits 2 2025-2026 Alfred University Undergraduate Catalog
Source: Alfred University's catalog, linked per course · table learning_unit · CourseShelf publish 61