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: GER:DB-EngrAppSci, WAY-AQR, WAY-SMA
ENGR 40A: Introductory Electronics
Instruction will be completed in the first seven weeks of the quarter. Students not majoring in Electrical Engineering may choose to take only
ENGR 40A; Electrical Engineering majors should take both
ENGR 40A and
ENGR 40B. Overview of electronic circuits and applications. Electrical quantities and their measurement, including operation of the oscilloscope. Basic models of electronic components including resistors, capacitors, inductors, and operational amplifiers. Lab. Lab assignments. Enrollment limited to 300.
Terms: Sum
| Units: 3
| UG Reqs: GER:DB-EngrAppSci, WAY-AQR, WAY-SMA
ENGR 42: Introduction to Electromagnetics and Its Applications (EE 42)
Electricity and magnetism and its essential role in modern electrical engineering devices and systems, such as sensors, displays, DVD players, and optical communication systems. The topics that will be covered include electrostatics, magnetostatics, Maxwell's equations, one-dimensional wave equation, electromagnetic waves, transmission lines, and one-dimensional resonators. Pre-requisites: none.
Terms: Spr, Sum
| Units: 5
| UG Reqs: GER:DB-EngrAppSci, WAY-AQR, WAY-SMA
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: WAY-SMA, GER:DB-EngrAppSci, WAY-AQR
Instructors:
Sinclair, R. (PI)
;
Bantug, A. (TA)
ENGR 50M: Introduction to Materials Science, Biomaterials Emphasis
Topics include: the relationship between atomic structure and macroscopic properties of man-made and natural materials; mechanical and thermodynamic behavior of surgical implants including alloys, ceramics, and polymers; and materials selection for biotechnology applications such as contact lenses, artificial joints, and cardiovascular stents. No prerequisite.
Terms: Aut
| Units: 4
| UG Reqs: GER:DB-EngrAppSci, WAY-AQR, WAY-SMA
ENGR 55: Foundational Biology for Engineers (CHEMENG 55)
Biology, physics, and chemistry are the substrates for the modern engineer. Whether you are interested in developing the next generation of medicines or would like the next material or catalyst you design to be inspired by solutions found in Nature, this course will deepen your knowledge of the foundational concepts in biology and enrich your engineering skills. We will introduce the physical principles that underlie the construction and function of living cells, the fundamental building block of life. Emphasis will be on systems, logic, quantitation, and mechanisms of the molecular processes utilized by all life on Earth. This course has no prerequisites, but prior completion of
CHEM 31 or equivalent is highly recommended.
Terms: Aut
| Units: 4
| UG Reqs: WAY-AQR, WAY-SMA
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: Aut
| Units: 4
| UG Reqs: GER:DB-EngrAppSci, WAY-AQR
Instructors:
Ye, Y. (PI)
;
Herrscher, J. (TA)
;
Hu, C. (TA)
;
Sun, C. (TA)
;
Zhang, E. (TA)
;
Zhang, X. (TA)
ENGR 76: Information Science and Engineering
What is information? How can we measure and efficiently represent it? How can we reliably communicate and store it over media prone to noise and errors? How can we make sound decisions based on partial and noisy information? This course introduces the basic notions required to address these questions, as well as the principles and techniques underlying the design of modern information, communication, and decision-making systems with relations to and applications in machine-learning, through genomics, to neuroscience. Students will get a hands-on appreciation of the concepts via projects in small groups, where they will develop their own systems for streaming of multi-media data under human-centric performance criteria. Prerequisite:
CS 106A.
Terms: Spr
| Units: 5
| UG Reqs: WAY-AQR, WAY-FR
Instructors:
Ozgur, A. (PI)
;
Ayoob, M. (TA)
;
Chandak, S. (TA)
;
Chekuri, S. (TA)
;
Chen, W. (TA)
;
Dodhia, P. (TA)
;
Goel, A. (TA)
;
Kim, E. (TA)
;
Kim, J. (TA)
;
Kuo, E. (TA)
;
Manuelito, T. (TA)
;
Nazirkhanova, K. (TA)
;
Peng, T. (TA)
;
Song, D. (TA)
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: GER:DB-EngrAppSci, WAY-AQR
Instructors:
Kopperud, R. (PI)
;
Teng, X. (TA)
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, Sum
| Units: 3-5
| UG Reqs: GER:DB-Math, WAY-AQR, WAY-FR
Instructors:
Costacurta, J. (PI)
;
Duchi, J. (PI)
;
Costacurta, J. (TA)
...
more instructors for ENGR 108 »
Instructors:
Costacurta, J. (PI)
;
Duchi, J. (PI)
;
Costacurta, J. (TA)
;
Kim, J. (TA)
;
Tran, L. (TA)
;
Wang, M. (TA)
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