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1 - 10 of 36 results for: ENGR ; Currently searching winter courses. You can expand your search to include all quarters

ENGR 10: Introduction to Engineering Analysis

Integrated approach to the fundamental scientific principles that are the cornerstones of engineering analysis: conservation of mass, atomic species, charge, momentum, angular momentum, energy, production of entropy expressed in the form of balance equations on carefully defined systems, and incorporating simple physical models. Emphasis is on setting up analysis problems arising in engineering. Topics: simple analytical solutions, numerical solutions of linear algebraic equations, and laboratory experiences. Provides the foundation and tools for subsequent engineering courses. Prerequisite: AP Physics and AP Calculus or equivalent.
Terms: Win | Units: 4 | UG Reqs: GER:DB-EngrAppSci, WAY-FR, WAY-AQR
Instructors: Cappelli, M. (PI)

ENGR 14: Intro to Solid Mechanics

Introduction to engineering analysis using the principles of engineering solid mechanics. Builds on the math and physical reasoning concepts in Physics 41 to develop skills in modeling and evaluation of engineered systems across a variety of fields. Topics include analysis of static equilibrium in two-and three-dimensions, static analysis of structures, and stress and deformation analysis for axially loaded members. Foundational ideas for more advanced solid mechanics courses such as ME80 or CEE101A. Limited enrollment, subject to instructor approval. Pre-requisite: Physics 41. Co-requisite: CME100 (recommended) or Math 51.
Terms: Aut, Win, Spr | Units: 4 | UG Reqs: GER:DB-EngrAppSci, WAY-AQR

ENGR 20: Introduction to Chemical Engineering (CHEMENG 20)

Overview of chemical engineering through discussion and engineering analysis of physical and chemical processes. Topics: overall staged separations, material and energy balances, concepts of rate processes, energy and mass transport, and kinetics of chemical reactions. Applications of these concepts to areas of current technological importance: biotechnology, energy, production of chemicals, materials processing, and purification. Prerequisite: CHEM 31.
Terms: Win | Units: 4 | UG Reqs: WAY-SMA, GER:DB-EngrAppSci, WAY-AQR

ENGR 50E: Introduction to Materials Science, Energy Emphasis (MATSCI 50E)

Materials structure, bonding and atomic arrangements leading to their properties and applications. Topics include electronic, thermal and mechanical behavior; emphasizing energy related materials and challenges.
Terms: Win | Units: 4 | UG Reqs: WAY-SMA

ENGR 60: Engineering Economics and Sustainability (CEE 146S)

Engineering Economics is a subset of the field of economics that draws upon the logic of economics, but adds that analytical power of mathematics and statistics. The concepts developed in this course are broadly applicable to many professional and personal decisions, including making purchasing decisions, deciding between project alternatives, evaluating different processes, and balancing environmental and social costs against economic costs. The concepts taught in this course will be increasingly valuable as students climb the carrier ladder in private industry, a non-governmental organization, a public agency, or in founding their own startup. Eventually, the ability to make informed decisions that are based in fundamental analysis of alternatives is a part of every career. As such, this course is recommended for engineering and non-engineering students alike. This course is taught exclusively online in every quarter it is offered. (Prerequisites: MATH 19 or 20 or approved equivalent.)
Terms: Aut, Win, Spr | Units: 3 | UG Reqs: WAY-AQR
Instructors: Lepech, M. (PI)

ENGR 90: Environmental Science and Technology (CEE 70)

Introduction to environmental quality and the technical background necessary for understanding environmental issues, controlling environmental degradation, and preserving air and water quality. Material balance concepts for tracking substances in the environmental and engineering systems.
Terms: Win | Units: 3 | UG Reqs: WAY-AQR, GER:DB-EngrAppSci
Instructors: Kopperud, R. (PI)

ENGR 100: Teaching Public Speaking

The theory and practice of teaching public speaking and presentation development. Lectures/discussions on developing an instructional plan, using audiovisual equipment for instruction, devising tutoring techniques, and teaching delivery, organization, audience analysis, visual aids, and unique speaking situations. Weekly practice speaking. Students serve as apprentice speech tutors. Those completing course may become paid speech instructors in the Technical Communications Program. Prerequisite: consent of instructor.
Terms: Aut, Win, Spr | Units: 3
Instructors: Vassar, M. (PI)

ENGR 103: Public Speaking (ENGR 203)

Priority to Engineering students. Introduction to speaking activities, from impromptu talks to carefully rehearsed formal professional presentations. How to organize and write speeches, analyze audiences, create and use visual aids, combat nervousness, and deliver informative and persuasive speeches effectively. Weekly class practice, rehearsals in one-on-one tutorials, videotaped feedback. Limited enrollment.
Terms: Aut, Win, Spr | Units: 3
Instructors: Vassar, M. (PI)

ENGR 105: Feedback Control Design

Design of linear feedback control systems for command-following error, stability, and dynamic response specifications. Root-locus and frequency response design techniques. Examples from a variety of fields. Some use of computer aided design with MATLAB. Prerequisites: Dynamics systems ( EE 102B or ME 161), and ordinary differential equations ( CME 102 or Math 53). This course will include synchronous teaching sessions, but will be recorded to allow asynchronous participation
Terms: Win, Spr | Units: 3 | UG Reqs: GER:DB-EngrAppSci

ENGR 108: Introduction to Matrix Methods

Formerly EE 103/ CME 103. Introduction to applied linear algebra with emphasis on applications. Vectors, norm, and angle; linear independence and orthonormal sets; applications to document analysis. Clustering and the k-means algorithm. Matrices, left and right inverses, QR factorization. Least-squares and model fitting, regularization and cross-validation. Constrained and nonlinear least-squares. Applications include time-series prediction, tomography, optimal control, and portfolio optimization. Undergraduate students should enroll for 5 units, and graduate students should enroll for 3 units. Prerequisites: MATH 51 or CME 100, and basic knowledge of computing ( CS 106A is more than enough, and can be taken concurrently). ENGR 108 and Math 104 cover complementary topics in applied linear algebra. The focus of ENGR 108 is on a few linear algebra concepts, and many applications; the focus of Math 104 is on algorithms and concepts.
Terms: Aut, Win | Units: 3-5 | UG Reqs: WAY-AQR, GER:DB-Math, WAY-FR
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