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: Spr, Sum

Units: 4

UG Reqs: GER:DBEngrAppSci

Grading: Letter (ABCD/NP)
Instructors:
Cappelli, M. (PI)
;
Lee, R. (TA)
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 evaluation of engineered systems across a variety of fields. Foundational ideas for more advanced solid mechanics courses such as ME80 or
CEE101A. Interactive lecture sessions focused on mathematical application of key concepts, with weekly complementary lab session on testing and designing systems that embody these concepts. Limited enrollment, subject to instructor approval. Prerequisite:
Physics 41.
Terms: Aut, Win, Spr

Units: 3

UG Reqs: GER:DBEngrAppSci

Grading: Letter (ABCD/NP)
ENGR 15: Dynamics
The application of Newton's Laws to solve 2D and 3D static and dynamic problems, particle and rigid body dynamics, freebody diagrams, and equations of motion, with application to mechanical, biomechanical, and aerospace systems. Computer numerical solution and dynamic response. Prerequisites: Calculus (differentiation and integration) such as
MATH 41; and
ENGR 14 (statics and strength) or a mechanics course in physics such as
PHYSICS 41.
Terms: Win, Spr

Units: 3

UG Reqs: GER:DBEngrAppSci, WAYSMA

Grading: Letter (ABCD/NP)
Instructors:
Lew, A. (PI)
;
Rock, S. (PI)
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: Spr

Units: 4

UG Reqs: GER:DBEngrAppSci, WAYAQR, WAYSMA

Grading: Letter (ABCD/NP)
ENGR 40M: An Intro to Making: What is EE
Is a handson class where students learn to make stuff. Through the process of building, you are introduced to the basic areas of EE. Students build a "useless box" and learn about circuits, feedback, and programming hardware, a light display for your desk and bike and learn about coding, transforms, and LEDs, a solar charger and an EKG machine and learn about power, noise, feedback, more circuits, and safety. And you get to keep the toys you build. Prerequisite:
CS 106A.
Terms: Aut, Spr, Sum

Units: 35

UG Reqs: GER:DBEngrAppSci, WAYSMA

Grading: Letter or Credit/No Credit
ENGR 50: Introduction to Materials Science, Nanotechnology Emphasis
The structure, bonding, and atomic arrangements in materials leading to their properties and applications. Topics include electronic and mechanical behavior, emphasizing nanotechnology, solid state devices, and advanced structural and composite materials.
Terms: Spr

Units: 4

UG Reqs: GER:DBEngrAppSci, WAYAQR, WAYSMA

Grading: Letter or Credit/No Credit
Instructors:
Sinclair, R. (PI)
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 nongovernmental 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 nonengineering students alike. This course is taught exclusively online in every quarter it is offered. (Prerequisites:
MATH 19 or 20 or approved equivalent.)
Terms: Aut, Spr, Sum

Units: 3

Grading: Letter (ABCD/NP)
Instructors:
Lepech, M. (PI)
ENGR 62: Introduction to Optimization (MS&E 111, MS&E 211)
Formulation and computational analysis of linear, quadratic, and other convex optimization problems. Applications in machine learning, operations, marketing, finance, and economics. Prerequisite:
CME 100 or
MATH 51.
Terms: Spr

Units: 34

UG Reqs: GER:DBEngrAppSci

Grading: Letter or Credit/No Credit
Instructors:
Goel, A. (PI)
ENGR 70A: Programming Methodology (CS 106A)
Introduction to the engineering of computer applications emphasizing modern software engineering principles: objectoriented design, decomposition, encapsulation, abstraction, and testing. Emphasis is on good programming style and the builtin facilities of respective languages. No prior programming experience required. Summer quarter enrollment is limited. Alternative versions of CS106A may be available which cover most of the same material but in different programming languages.
Terms: Aut, Win, Spr, Sum

Units: 35

UG Reqs: GER:DBEngrAppSci, WAYFR

Grading: Letter or Credit/No Credit
Instructors:
Piech, C. (PI)
;
Sahami, M. (PI)
ENGR 70B: Programming Abstractions (CS 106B)
Abstraction and its relation to programming. Software engineering principles of data abstraction and modularity. Objectoriented programming, fundamental data structures (such as stacks, queues, sets) and datadirected design. Recursion and recursive data structures (linked lists, trees, graphs). Introduction to time and space complexity analysis. Uses the programming language C++ covering its basic facilities. Prerequisite: 106A or equivalent. Summer quarter enrollment is limited.
Terms: Aut, Win, Spr, Sum

Units: 35

UG Reqs: GER:DBEngrAppSci, WAYFR

Grading: Letter or Credit/No Credit
Instructors:
Schwarz, K. (PI)
;
Stepp, M. (PI)
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