ENGR 150: Data Challenge Lab
In this lab, students develop the practical skills of data science by solving a series of increasingly difficult, real problems. Skills developed include: data manipulation, data visualization, exploratory data analysis, and basic modeling. The data challenges each student undertakes are based upon their current skills. Students receive oneonone coaching and see how expert practitioners solve the same challenges. Limited enrollment; application required. See
http://datalab.stanford.edu for more information.
Terms: Win, Spr

Units: 35

Grading: Letter (ABCD/NP)
ENGR 154: Vector Calculus for Engineers (CME 100)
Computation and visualization using MATLAB. Differential vector calculus: analytic geometry in space, functions of several variables, partial derivatives, gradient, unconstrained maxima and minima, Lagrange multipliers. Introduction to linear algebra: matrix operations, systems of algebraic equations, methods of solution and applications. Integral vector calculus: multiple integrals in Cartesian, cylindrical, and spherical coordinates, line integrals, scalar potential, surface integrals, Green¿s, divergence, and Stokes¿ theorems. Examples and applications drawn from various engineering fields. Prerequisites: 10 units of AP credit (Calc BC with 5, or Calc AB with 5 or placing out of the single variable math placement test:
https://exploredegreesnextyear.stanford.edu/undergraduatedegreesandprograms/#aptextt), or
Math 1921.
Terms: Aut, Win, Spr

Units: 5

UG Reqs: GER:DBMath, WAYFR

Grading: Letter or Credit/No Credit
Instructors:
Khayms, V. (PI)
;
Le, H. (PI)
ENGR 155A: Ordinary Differential Equations for Engineers (CME 102)
Analytical and numerical methods for solving ordinary differential equations arising in engineering applications: Solution of initial and boundary value problems, series solutions, Laplace transforms, and nonlinear equations; numerical methods for solving ordinary differential equations, accuracy of numerical methods, linear stability theory, finite differences. Introduction to MATLAB programming as a basic tool kit for computations. Problems from various engineering fields. Prerequisite: 10 units of AP credit (Calc BC with 5, or Calc AB with 5 or placing out of the single variable math placement test:
https://exploredegreesnextyear.stanford.edu/undergraduatedegreesandprograms/#aptextt),), or
Math 1921. Recommended:
CME100.
Terms: Aut, Win, Spr, Sum

Units: 5

UG Reqs: GER:DBMath, WAYFR

Grading: Letter or Credit/No Credit
Instructors:
Le, H. (PI)
ENGR 155C: Introduction to Probability and Statistics for Engineers (CME 106)
Probability: random variables, independence, and conditional probability; discrete and continuous distributions, moments, distributions of several random variables. Topics in mathematical statistics: random sampling, point estimation, confidence intervals, hypothesis testing, nonparametric tests, regression and correlation analyses; applications in engineering, industrial manufacturing, medicine, biology, and other fields. Prerequisite:
CME 100/ENGR154 or
MATH 51 or 52.
Terms: Win, Sum

Units: 4

UG Reqs: GER:DBMath, WAYAQR, WAYFR

Grading: Letter or Credit/No Credit
Instructors:
Khayms, V. (PI)
ENGR 199: Special Studies in Engineering
Special studies, lab work, or reading under the direction of a faculty member. Often research experience opportunities exist in ongoing research projects. Students make arrangements with individual faculty and enroll in the section number corresponding to the particular faculty member. May be repeated for credit. Prerequisite: consent of instructor.
Terms: Aut, Win, Spr

Units: 115

Repeatable for credit

Grading: Letter or Credit/No Credit
Instructors:
Altman, R. (PI)
;
Butte, A. (PI)
;
Lozano, N. (PI)
;
Mungal, M. (PI)
;
Osgood, B. (PI)
;
Sheppard, S. (PI)
ENGR 199W: Writing of Original Research for Engineers
Technical writing in science and engineering. Students produce a substantial document describing their research, methods, and results. Prerequisite: completion of freshman writing requirements; prior or concurrent in 2 units of research in the major department; and consent of instructor. WIM for BioMedical Computation.
Terms: Aut, Win, Spr, Sum

Units: 13

Grading: Letter or Credit/No Credit
Instructors:
Altman, R. (PI)
;
Butte, A. (PI)
;
Carter, D. (PI)
...
more instructors for ENGR 199W »
Instructors:
Altman, R. (PI)
;
Butte, A. (PI)
;
Carter, D. (PI)
;
Covert, M. (PI)
;
Fuller, G. (PI)
;
Kelley, D. (PI)
;
Levenston, M. (PI)
;
Lozano, N. (PI)
;
McDevitt, M. (PI)
;
Moin, P. (PI)
;
Mungal, M. (PI)
;
Okamura, A. (PI)
;
Osgood, B. (PI)
;
Reichard, C. (PI)
;
SafaviNaeini, A. (PI)
;
Sheppard, S. (PI)
ENGR 202S: Directed Writing Projects
Individualized writing instruction for students working on writing projects such as dissertations, proposals, grant applications, theses, journal articles, conference papers, and teaching and research statements. Weekly oneonone conferences with writing instructors from the Technical Communication Program. Students receive close attention to and detailed feedback on their writing. No prerequisite. Grading: Satisfactory/No Credit. This course may be repeated for credit.
Terms: Aut, Win, Spr

Units: 1

Repeatable for credit

Grading: Satisfactory/No Credit
Instructors:
McDevitt, M. (PI)
ENGR 202W: Technical Communication
This course focuses on how to write clear, concise, and organized technical writing. Through interactive presentations, group workshops, and individual conferences, students learn best practices for communicating to academic and professional audiences for a range of purposes.
Terms: Aut, Win, Spr

Units: 3

Grading: Letter (ABCD/NP)
Instructors:
Harrison, K. (PI)
;
Modifica, L. (PI)
ENGR 203: Public Speaking (ENGR 103)
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 oneonone tutorials, videotaped feedback. Limited enrollment.
Terms: Aut, Win, Spr

Units: 3

Grading: Letter or Credit/No Credit
Instructors:
Vassar, M. (PI)
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