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 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.Prerequisites: knowledge of singlevariable calculus equivalent to the content of
Math 1921 (e.g., 5 on Calc BC, 4 on Calc BC with
Math 21, 5 on Calc AB with
Math21). Placement diagnostic (recommendation non binding) at:(
https://exploredegrees.stanford.edu/undergraduatedegreesandprograms/#aptext). Recommended:
CME100.
Terms: Aut, Win, Spr, Sum

Units: 5

UG Reqs: GER:DBMath, WAYFR

Grading: Letter or Credit/No Credit
Instructors:
Cameron, M. (PI)
;
Le, H. (PI)
;
Aboumrad, G. (TA)
...
more instructors for ENGR 155A »
Instructors:
Cameron, M. (PI)
;
Le, H. (PI)
;
Aboumrad, G. (TA)
;
BougdalLambert, I. (TA)
;
Chiu, D. (TA)
;
Goc, K. (TA)
;
Harris, S. (TA)
;
Planeix, P. (TA)
;
Romain, M. (TA)
;
Schleede, P. (TA)
;
Zhang, V. (TA)
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)
;
Earley, E. (TA)
;
Gong, E. (TA)
;
Mantravadi, S. (TA)
;
Trean, M. (TA)
;
Wang, A. (TA)
;
Zhang, V. (TA)
ENGR 177A: Engineering and Sustainable Development: Toolkit (CEE 177X, CEE 277X, ENGR 277A)
The first of a twoquarter, projectbased course sequence that address cultural, political, organizational, technical, and business issues at the heart of implementing sustainable engineering projects in the developing world. Students work in interdisciplinary project teams to tackle realworld design challenges in partnership with social entrepreneurs and/or NGOs. While students must have the skills and aptitude necessary to make meaningful contributions to technical product designs, the course is open to all backgrounds and majors. The first quarter focuses on conceptual design, feasibility analysis, and implementation, evaluation, and deployment. Admission is by application. Following successful completion of
ENGR 177A/277A, students have the option to enroll in CEE 177B/277B Engineering & Sustainable Development: Implementation. Designated a Cardinal Course by the Haas Center for Public Service.
Terms: Win

Units: 13

Repeatable for credit

Grading: Letter or Credit/No Credit
Instructors:
Cohen, S. (PI)
;
Hamzah, L. (TA)
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
ENGR 199A: Additional Calculus for Engineers
Additional problem solving practice for the calculus courses. Sections are designed to allow students to acquire a deeper understanding of calculus and its applications, work collaboratively, and develop a mastery of the material. Limited enrollment, permission of instructor required. Concurrent enrollment in
MATH 19, 20, 52, or 53 required
Terms: Win, Spr

Units: 1

Repeatable for credit

Grading: Satisfactory/No Credit
Instructors:
Andrade, L. (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)
;
Davis, J. (PI)
;
Fuller, G. (PI)
;
Huang, K. (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)
;
Smith, J. (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)
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