HMC - HOME | HARVEY MUDD COLLEGEADMISSION AND FINANCIAL AIDACADEMICSCLINICRESEARCHSTUDENT LIFEABOUT Harvey Mudd Trustees Approve Spring 2021 Faculty Promotions. Student Op-ed on Climate Change Published. 2021 Harvey Mudd College Leadership Awards. Three HMC Math Faculty Receive NSF Grants. Biologists Explore How Human Networks Can Be Made Ant SUMMER SESSION AT MUDD

COMMON DATA SET

Common Data Set. The Common Data Set (CDS) is a collaborative effort among data providers in the higher education community and publishers as represented by the College Board, Peterson’s, and U.S. News & World Report. The goal of this collaboration is to improve the quality and accuracy of information provided to all involved in a student’s transition into higher education, as well as to E1761 NUMERICAL METHODS E176 Administrative Information Instructor: Ruye Wang, Parsons 2372, Ext 73527, Ruye_Wang@hmc.edu Lecture Notes. Homework Assignments ``I wish yesterday were tomorrow, then today would be Friday.'' HMC MATH 40 -- LECTURE NOTES Karp Lectures. Lecture 1: Vectors and the Dot Product. Lecture 2: Projections and Planes. Lecture 3: Systems of Linear Equations. Lecture 4: Gaussian Elimination. Lecture 5: Linear Independence and Span. Lecture 6: Linear Independence Continued and Matrix Operations. Lecture 7: Invertible Matrices. SUBSPACES, BASIS, DIMENSION, AND RANK Subspace Definition A subspace S of Rn is a set of vectors in Rn such that (1) 0 ∈ S (2) if u, v ∈ S,thenu + v ∈ S (3) if u ∈ S and c ∈ R,thencu ∈ S PARABOLIC INTERPOLATION Newton's method Up: Optimization Previous: Golden section search Parabolic Interpolation. The function can be approximated by a parabola (quadratic function) in the neighborhood of its minimum (or maximum). Let be three points on the x-axis corresponding to function values .Then a quadratic function can be generated through these points by the Lagrange interpolation: DETERMINANTS AND EIGENVALUES Determinants and eigenvalues Math 40, Introduction to Linear Algebra Wednesday, February 15, 2012 Consequence: Theorem. The determinant of a triangular matrix is the product of its diagonal entries. HIGH SPEED CMOS VLSI DESIGN LECTURE 7: DYNAMIC CIRCUITS Lecture 7: Dynamic Circuits November 4, 1997 2 / 15 Dynamic gates operate in two phases: precharge and evaluation. During the precharge phase, the clock is low, turning on the PMOS device and pulling the

output high.

TWO-DIMENSIONAL FOURIER TRANSFORM where , and . is the unit vector along direction , ; is a vector along the direction in the 2D spatial domain.; The inner product represents the projection of a spatial point onto the direction of .As all points on a straight line perpendicular to the direction of have the same projection, represents a planar sinusoid in the x-y plane along the direction (i.e. ) with frequency. HMC - HOME | HARVEY MUDD COLLEGEADMISSION AND FINANCIAL AIDACADEMICSCLINICRESEARCHSTUDENT LIFEABOUT Harvey Mudd Trustees Approve Spring 2021 Faculty Promotions. Student Op-ed on Climate Change Published. 2021 Harvey Mudd College Leadership Awards. Three HMC Math Faculty Receive NSF Grants. Biologists Explore How Human Networks Can Be Made Ant SUMMER SESSION AT MUDD

COMMON DATA SET

Common Data Set. The Common Data Set (CDS) is a collaborative effort among data providers in the higher education community and publishers as represented by the College Board, Peterson’s, and U.S. News & World Report. The goal of this collaboration is to improve the quality and accuracy of information provided to all involved in a student’s transition into higher education, as well as to E1761 NUMERICAL METHODS E176 Administrative Information Instructor: Ruye Wang, Parsons 2372, Ext 73527, Ruye_Wang@hmc.edu Lecture Notes. Homework Assignments ``I wish yesterday were tomorrow, then today would be Friday.'' HMC MATH 40 -- LECTURE NOTES Karp Lectures. Lecture 1: Vectors and the Dot Product. Lecture 2: Projections and Planes. Lecture 3: Systems of Linear Equations. Lecture 4: Gaussian Elimination. Lecture 5: Linear Independence and Span. Lecture 6: Linear Independence Continued and Matrix Operations. Lecture 7: Invertible Matrices. SUBSPACES, BASIS, DIMENSION, AND RANK Subspace Definition A subspace S of Rn is a set of vectors in Rn such that (1) 0 ∈ S (2) if u, v ∈ S,thenu + v ∈ S (3) if u ∈ S and c ∈ R,thencu ∈ S PARABOLIC INTERPOLATION Newton's method Up: Optimization Previous: Golden section search Parabolic Interpolation. The function can be approximated by a parabola (quadratic function) in the neighborhood of its minimum (or maximum). Let be three points on the x-axis corresponding to function values .Then a quadratic function can be generated through these points by the Lagrange interpolation: DETERMINANTS AND EIGENVALUES Determinants and eigenvalues Math 40, Introduction to Linear Algebra Wednesday, February 15, 2012 Consequence: Theorem. The determinant of a triangular matrix is the product of its diagonal entries. HIGH SPEED CMOS VLSI DESIGN LECTURE 7: DYNAMIC CIRCUITS Lecture 7: Dynamic Circuits November 4, 1997 2 / 15 Dynamic gates operate in two phases: precharge and evaluation. During the precharge phase, the clock is low, turning on the PMOS device and pulling the

output high.

TWO-DIMENSIONAL FOURIER TRANSFORM where , and . is the unit vector along direction , ; is a vector along the direction in the 2D spatial domain.; The inner product represents the projection of a spatial point onto the direction of .As all points on a straight line perpendicular to the direction of have the same projection, represents a planar sinusoid in the x-y plane along the direction (i.e. ) with frequency. THE CLAREMONT COLLEGES Harvey Mudd College is a member of The Claremont Colleges, a collective of five undergraduate and two graduate schools. Each institution has its own mission, administrative policies, facilities, student body and unique campus culture. The partnership among the member colleges gives students access to many of the resources at each institution. A few benefits include HMC MATH 40 -- LECTURE NOTES Karp Lectures. Lecture 1: Vectors and the Dot Product. Lecture 2: Projections and Planes. Lecture 3: Systems of Linear Equations. Lecture 4: Gaussian Elimination. Lecture 5: Linear Independence and Span. Lecture 6: Linear Independence Continued and Matrix Operations. Lecture 7: Invertible Matrices. EIGENVALUES AND EIGENVECTORS Computing Eigenvalues and Eigenvectors. We can rewrite the condition Av = λv as (A − λI)v = 0. where I is the n × n identity matrix. Now, in order for a non-zero vector v to satisfy this equation, A– λI must not be invertible. Otherwise, if A– λI has an inverse, (A– λI) − 1(A– λI)v = (A– λI) − 10 v = 0. But we are

GRAM-SCHMIDT METHOD

Given an arbitrary basis for an -dimensional inner product space , the Gram-Schmidt algorithm constructs an orthogonal basis for : That is, has coordinates relative to the basis . Step 1 Let . Step 2 Let where is the space spanned by , and is the orthogonal projection of on . According to the Projection Theorem, if is a finite dimensional MATRICES, TRANSPOSES, AND INVERSES Matrix transpose AT = 15 33 52 −21 A = 135−2 532 1 Example Transpose operation can be viewed as flipping entries about the diagonal. i.e., (AT) ij = A ji ∀ i,j. Definition The transpose of an m x n matrix A is the n x m matrix AT obtained by interchanging rows and columns of A, Definition A square matrix A is symmetric if AT = A. Properties of transpose EIGENVALUES AND EIGENVECTORS Eigenvalues and eigenvectors Math 40, Introduction to Linear Algebra Friday, February 17, 2012 Introduction to eigenvalues Let A be an n x

n matrix.

BOB KELLER'S JAZZ PAGE Bob Keller's Jazz Page Welcome to my jazz page. It contains stuff to which I want to refer and to which I refer my students. (A few others have found it useful as well.)I apologize for any broken links. CHECKLISTS FOR GOING SAILING Checklists for Going Sailing Okay, I admit it. I can be anal at times. But I can also be forgetful, and so whenever I go out on a boat, I take along these checklists.

2-D INTERPOLATION

2-D Interpolation. Interpolation can also be carried out in 2-D space. Given a set of sample points at 2-D points in either a regular grid or an irregular grid (scattered data points), we can construct an interpolating function that passes through all these sample points. Here we will first consider methods based only on regular grids and then those that also work for irregular grids. CUBIC SPLINE INTERPOLATION Cubic Spline Interpolation. All previously discussed methods of polynomial interpolation fit a set of given points by an nth degree polynomial, and a higher degree polynomial is needed to fit a larger set of data points. A major drawback of such methods is overfitting, as domonstrated by the following example. HMC - HOME | HARVEY MUDD COLLEGEADMISSION AND FINANCIAL AIDACADEMICSCLINICRESEARCHSTUDENT LIFEABOUT Harvey Mudd Trustees Approve Spring 2021 Faculty Promotions. Student Op-ed on Climate Change Published. 2021 Harvey Mudd College Leadership Awards. Three HMC Math Faculty Receive NSF Grants. Biologists Explore How Human Networks Can Be Made Ant SUMMER SESSION AT MUDD

COMMON DATA SET

Common Data Set. The Common Data Set (CDS) is a collaborative effort among data providers in the higher education community and publishers as represented by the College Board, Peterson’s, and U.S. News & World Report. The goal of this collaboration is to improve the quality and accuracy of information provided to all involved in a student’s transition into higher education, as well as to E1761 NUMERICAL METHODS E176 Administrative Information Instructor: Ruye Wang, Parsons 2372, Ext 73527, Ruye_Wang@hmc.edu Lecture Notes. Homework Assignments ``I wish yesterday were tomorrow, then today would be Friday.'' HMC MATH 40 -- LECTURE NOTES Karp Lectures. Lecture 1: Vectors and the Dot Product. Lecture 2: Projections and Planes. Lecture 3: Systems of Linear Equations. Lecture 4: Gaussian Elimination. Lecture 5: Linear Independence and Span. Lecture 6: Linear Independence Continued and Matrix Operations. Lecture 7: Invertible Matrices. SUBSPACES, BASIS, DIMENSION, AND RANK Subspace Definition A subspace S of Rn is a set of vectors in Rn such that (1) 0 ∈ S (2) if u, v ∈ S,thenu + v ∈ S (3) if u ∈ S and c ∈ R,thencu ∈ S PARABOLIC INTERPOLATION Newton's method Up: Optimization Previous: Golden section search Parabolic Interpolation. The function can be approximated by a parabola (quadratic function) in the neighborhood of its minimum (or maximum). Let be three points on the x-axis corresponding to function values .Then a quadratic function can be generated through these points by the Lagrange interpolation: DETERMINANTS AND EIGENVALUES Determinants and eigenvalues Math 40, Introduction to Linear Algebra Wednesday, February 15, 2012 Consequence: Theorem. The determinant of a triangular matrix is the product of its diagonal entries. HIGH SPEED CMOS VLSI DESIGN LECTURE 7: DYNAMIC CIRCUITS Lecture 7: Dynamic Circuits November 4, 1997 2 / 15 Dynamic gates operate in two phases: precharge and evaluation. During the precharge phase, the clock is low, turning on the PMOS device and pulling the

output high.

TWO-DIMENSIONAL FOURIER TRANSFORM where , and . is the unit vector along direction , ; is a vector along the direction in the 2D spatial domain.; The inner product represents the projection of a spatial point onto the direction of .As all points on a straight line perpendicular to the direction of have the same projection, represents a planar sinusoid in the x-y plane along the direction (i.e. ) with frequency. HMC - HOME | HARVEY MUDD COLLEGEADMISSION AND FINANCIAL AIDACADEMICSCLINICRESEARCHSTUDENT LIFEABOUT Harvey Mudd Trustees Approve Spring 2021 Faculty Promotions. Student Op-ed on Climate Change Published. 2021 Harvey Mudd College Leadership Awards. Three HMC Math Faculty Receive NSF Grants. Biologists Explore How Human Networks Can Be Made Ant SUMMER SESSION AT MUDD

COMMON DATA SET

Common Data Set. The Common Data Set (CDS) is a collaborative effort among data providers in the higher education community and publishers as represented by the College Board, Peterson’s, and U.S. News & World Report. The goal of this collaboration is to improve the quality and accuracy of information provided to all involved in a student’s transition into higher education, as well as to E1761 NUMERICAL METHODS E176 Administrative Information Instructor: Ruye Wang, Parsons 2372, Ext 73527, Ruye_Wang@hmc.edu Lecture Notes. Homework Assignments ``I wish yesterday were tomorrow, then today would be Friday.'' HMC MATH 40 -- LECTURE NOTES Karp Lectures. Lecture 1: Vectors and the Dot Product. Lecture 2: Projections and Planes. Lecture 3: Systems of Linear Equations. Lecture 4: Gaussian Elimination. Lecture 5: Linear Independence and Span. Lecture 6: Linear Independence Continued and Matrix Operations. Lecture 7: Invertible Matrices. SUBSPACES, BASIS, DIMENSION, AND RANK Subspace Definition A subspace S of Rn is a set of vectors in Rn such that (1) 0 ∈ S (2) if u, v ∈ S,thenu + v ∈ S (3) if u ∈ S and c ∈ R,thencu ∈ S PARABOLIC INTERPOLATION Newton's method Up: Optimization Previous: Golden section search Parabolic Interpolation. The function can be approximated by a parabola (quadratic function) in the neighborhood of its minimum (or maximum). Let be three points on the x-axis corresponding to function values .Then a quadratic function can be generated through these points by the Lagrange interpolation: DETERMINANTS AND EIGENVALUES Determinants and eigenvalues Math 40, Introduction to Linear Algebra Wednesday, February 15, 2012 Consequence: Theorem. The determinant of a triangular matrix is the product of its diagonal entries. HIGH SPEED CMOS VLSI DESIGN LECTURE 7: DYNAMIC CIRCUITS Lecture 7: Dynamic Circuits November 4, 1997 2 / 15 Dynamic gates operate in two phases: precharge and evaluation. During the precharge phase, the clock is low, turning on the PMOS device and pulling the

output high.

TWO-DIMENSIONAL FOURIER TRANSFORM where , and . is the unit vector along direction , ; is a vector along the direction in the 2D spatial domain.; The inner product represents the projection of a spatial point onto the direction of .As all points on a straight line perpendicular to the direction of have the same projection, represents a planar sinusoid in the x-y plane along the direction (i.e. ) with frequency. THE CLAREMONT COLLEGES Harvey Mudd College is a member of The Claremont Colleges, a collective of five undergraduate and two graduate schools. Each institution has its own mission, administrative policies, facilities, student body and unique campus culture. The partnership among the member colleges gives students access to many of the resources at each institution. A few benefits include HMC MATH 40 -- LECTURE NOTES Karp Lectures. Lecture 1: Vectors and the Dot Product. Lecture 2: Projections and Planes. Lecture 3: Systems of Linear Equations. Lecture 4: Gaussian Elimination. Lecture 5: Linear Independence and Span. Lecture 6: Linear Independence Continued and Matrix Operations. Lecture 7: Invertible Matrices. EIGENVALUES AND EIGENVECTORS Computing Eigenvalues and Eigenvectors. We can rewrite the condition Av = λv as (A − λI)v = 0. where I is the n × n identity matrix. Now, in order for a non-zero vector v to satisfy this equation, A– λI must not be invertible. Otherwise, if A– λI has an inverse, (A– λI) − 1(A– λI)v = (A– λI) − 10 v = 0. But we are

GRAM-SCHMIDT METHOD

Given an arbitrary basis for an -dimensional inner product space , the Gram-Schmidt algorithm constructs an orthogonal basis for : That is, has coordinates relative to the basis . Step 1 Let . Step 2 Let where is the space spanned by , and is the orthogonal projection of on . According to the Projection Theorem, if is a finite dimensional MATRICES, TRANSPOSES, AND INVERSES Matrix transpose AT = 15 33 52 −21 A = 135−2 532 1 Example Transpose operation can be viewed as flipping entries about the diagonal. i.e., (AT) ij = A ji ∀ i,j. Definition The transpose of an m x n matrix A is the n x m matrix AT obtained by interchanging rows and columns of A, Definition A square matrix A is symmetric if AT = A. Properties of transpose EIGENVALUES AND EIGENVECTORS Eigenvalues and eigenvectors Math 40, Introduction to Linear Algebra Friday, February 17, 2012 Introduction to eigenvalues Let A be an n x

n matrix.

BOB KELLER'S JAZZ PAGE Bob Keller's Jazz Page Welcome to my jazz page. It contains stuff to which I want to refer and to which I refer my students. (A few others have found it useful as well.)I apologize for any broken links. CHECKLISTS FOR GOING SAILING Checklists for Going Sailing Okay, I admit it. I can be anal at times. But I can also be forgetful, and so whenever I go out on a boat, I take along these checklists.

2-D INTERPOLATION

2-D Interpolation. Interpolation can also be carried out in 2-D space. Given a set of sample points at 2-D points in either a regular grid or an irregular grid (scattered data points), we can construct an interpolating function that passes through all these sample points. Here we will first consider methods based only on regular grids and then those that also work for irregular grids. CUBIC SPLINE INTERPOLATION Cubic Spline Interpolation. All previously discussed methods of polynomial interpolation fit a set of given points by an nth degree polynomial, and a higher degree polynomial is needed to fit a larger set of data points. A major drawback of such methods is overfitting, as domonstrated by the following example. HMC - HOME | HARVEY MUDD COLLEGEADMISSION AND FINANCIAL AIDACADEMICSCLINICRESEARCHSTUDENT LIFEABOUT We seek to educate engineers, scientists and mathematicians well versed in all of these areas and in the humanities and the social sciences so that they may assume leadership in their fields with a clear understanding of the impact of their work on society. SUMMER SESSION AT MUDD 2021 SUMMER SESSION COURSE OFFERINGS Course offerings are subject to enrollment minimums and caps, and so it is possible that some courses will not run or will close. Students who plan to take a summer class(es), should select 1-2 alternative classes in case their chosen class is cancelled or closed. Course schedules are subject to change without notice. Session I:

CAMPUS TOURS

Campus Visits Cancelled Due to COVID-19 Effective Tuesday, March 10th, we will be cancelling all campus visits (tours, information sessions, overnights and interviews). You can access resources for virtual campus tours through the link above. Campus Tours Get the lay of the land with an hour-long tour of Harvey Mudd College. Campus tours are

led

COMMON DATA SET

Common Data Set. The Common Data Set (CDS) is a collaborative effort among data providers in the higher education community and publishers as represented by the College Board, Peterson’s, and U.S. News & World Report. The goal of this collaboration is to improve the quality and accuracy of information provided to all involved in a student’s transition into higher education, as well as to HMC MATH 40 -- LECTURE NOTES Lecture Notes. Below are links to rough lecture notes. They are meant to be convenient, but not definitive. In particular, there may be

(lots of!) typos.

E85: DIGITAL ELECTRONICS & COMPUTER ARCHITECTUREHARVEY MUDD APPLICATIONHARVEY MUDD COLLEGE TUITIONHARVEY MUDD ENGINEERINGHARVEY MUDD ACCEPTANCE RATEHARVEY MUDD COLLEGE CLAREMONT CAHARVEY MUDD

ENGINEERING RANKING

E85: Digital Electronics & Computer Architecture. Instructor: David Harris: Joshua Brake: Email: David_Harris@hmc.edu: Administrative Syllabus Course Updates (Last Updated: 3/26/20) PARABOLIC INTERPOLATION Newton's method Up: Optimization Previous: Golden section search Parabolic Interpolation. The function can be approximated by a parabola (quadratic function) in the neighborhood of its minimum (or maximum). Let be three points on the x-axis corresponding to function values .Then a quadratic function can be generated through these points by the Lagrange interpolation: CUBIC SPLINE INTERPOLATION must hold for some order .The higher the order is, the more smooth the spline becomes.; In the following we consider approximating between any two consecutive points and by a linear, quadratic, and cubic polynomial (of first, second, and third degree).. Linear spline: with two parameters and can only satisfy the following two equations required for to be continuous:

BASIC PROBLEMS HMMS

Markov Chains and Markov Models A Markov chainis a stochastic process with the Markov property. Stochastic process probabilistic counterpart to a deterministic process acollection of HMC - HOME | HARVEY MUDD COLLEGEADMISSION AND FINANCIAL AIDACADEMICSCLINICRESEARCHSTUDENT LIFEABOUT We seek to educate engineers, scientists and mathematicians well versed in all of these areas and in the humanities and the social sciences so that they may assume leadership in their fields with a clear understanding of the impact of their work on society. SUMMER SESSION AT MUDD 2021 SUMMER SESSION COURSE OFFERINGS Course offerings are subject to enrollment minimums and caps, and so it is possible that some courses will not run or will close. Students who plan to take a summer class(es), should select 1-2 alternative classes in case their chosen class is cancelled or closed. Course schedules are subject to change without notice. Session I:

CAMPUS TOURS

Campus Visits Cancelled Due to COVID-19 Effective Tuesday, March 10th, we will be cancelling all campus visits (tours, information sessions, overnights and interviews). You can access resources for virtual campus tours through the link above. Campus Tours Get the lay of the land with an hour-long tour of Harvey Mudd College. Campus tours are

led

COMMON DATA SET

Common Data Set. The Common Data Set (CDS) is a collaborative effort among data providers in the higher education community and publishers as represented by the College Board, Peterson’s, and U.S. News & World Report. The goal of this collaboration is to improve the quality and accuracy of information provided to all involved in a student’s transition into higher education, as well as to HMC MATH 40 -- LECTURE NOTES Lecture Notes. Below are links to rough lecture notes. They are meant to be convenient, but not definitive. In particular, there may be

(lots of!) typos.

E85: DIGITAL ELECTRONICS & COMPUTER ARCHITECTUREHARVEY MUDD APPLICATIONHARVEY MUDD COLLEGE TUITIONHARVEY MUDD ENGINEERINGHARVEY MUDD ACCEPTANCE RATEHARVEY MUDD COLLEGE CLAREMONT CAHARVEY MUDD

ENGINEERING RANKING

E85: Digital Electronics & Computer Architecture. Instructor: David Harris: Joshua Brake: Email: David_Harris@hmc.edu: Administrative Syllabus Course Updates (Last Updated: 3/26/20) PARABOLIC INTERPOLATION Newton's method Up: Optimization Previous: Golden section search Parabolic Interpolation. The function can be approximated by a parabola (quadratic function) in the neighborhood of its minimum (or maximum). Let be three points on the x-axis corresponding to function values .Then a quadratic function can be generated through these points by the Lagrange interpolation: CUBIC SPLINE INTERPOLATION must hold for some order .The higher the order is, the more smooth the spline becomes.; In the following we consider approximating between any two consecutive points and by a linear, quadratic, and cubic polynomial (of first, second, and third degree).. Linear spline: with two parameters and can only satisfy the following two equations required for to be continuous:

BASIC PROBLEMS HMMS

Markov Chains and Markov Models A Markov chainis a stochastic process with the Markov property. Stochastic process probabilistic counterpart to a deterministic process acollection of

VISIT CAMPUS

Visiting the Harvey Mudd College campus is the best way to learn more about our community. There’s plenty to see and do on campus and around the region. While visiting, learn more about the other Claremont Colleges, and explore the City of Claremont as well as the historic Claremont Village. Campus Tours Our admission site has

CAMPUS TOURS

Campus Visits Cancelled Due to COVID-19 Effective Tuesday, March 10th, we will be cancelling all campus visits (tours, information sessions, overnights and interviews). You can access resources for virtual campus tours through the link above. Campus Tours Get the lay of the land with an hour-long tour of Harvey Mudd College. Campus tours are

led

2021 SUMMER SESSION COURSE OFFERINGS Course offerings are subject to enrollment minimums and caps, and so it is possible that some courses will not run or will close. Students who plan to take a summer class(es), should select 1-2 alternative classes in case their chosen class is cancelled or closed. Course schedules are subject to change without notice. Session I: ATHLETICS AT HARVEY MUDD Harvey Mudd College, Claremont McKenna College and Scripps College are associated in a joint program of intercollegiate athletics, intramural and recreational activities, physical education and club sports known as Claremont-Mudd-Scripps (CMS) Athletics. The CMS Facilities are expansive and cover most, if not all, of your sporting needs. A list of facilities can be found at

HEALTH AND WELLNESS

The Office of Health and Wellness (OHW) promotes balanced lifestyles and student success through the nine dimensions of wellness: emotional, career, social, intellectual, spiritual, physical, identity, environmental and financial. The mission of OHW is to support and co-educate students as they strive to find and maintain their work-life balance and to provide them with the COMMUNICATIONS AND MARKETING The Office of Communications and Marketing advances the College’s mission and strategic vision through the design, development and implementation of strategic communications that inform, educate and gain support for Harvey Mudd. The unit encompasses public relations, marketing, publications, web design, development and content management, social networking and other visual media.

RESIDENCE HALLS

There are nine residence halls on campus, each classified as either an “inner dorm” or an “outer dorm.” Most of the residence halls have unique legacy suites, many of which are responsible for playing music. The inner dorms are all U-shaped around a courtyard, with HMC COMPUTER SCIENCE The Harvey Mudd College Department of Computer Science graduated its first class in 1992. Since then, the department has grown to its current size of eighteen tenure-track faculty, several visiting or adjunct faculty, and five staff members. DEPARTMENT OF PHYSICS AT HARVEY MUDD COLLEGE HMC physics page. 12 March 2020 : The class of 2020 gathered one last time in the Stauffer lounge for a farewell reception on Thursday afternoon, 3/12/20, the day before the spring break scatters them home to ride out the coronavirus pandemic.

WHAT ARE SHEETS?

What are Sheets? A sheet is a representation of a continuous partial function between two spaces which are locally like either (a) n-dimensional Euclidean space or (b) an n-dimensional integer grid. Skip to Main Content

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Harvey Mudd keeps creating. Engineering professor Lori Bassman and students continue their metal alloy research remotely by computationally simulating the structure and properties of their new compositionally complex alloys.

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Dec 3Mudd Talks– “Self-Publishing for Fun and (Maybe) Profit”

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Jan 13Mudd Talks– “CX: Using Empathy and Analytics to Build Experiences That Delight”

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All in-person events are canceled until further notice.

MUDD TALKS

"SELF-PUBLISHING FOR FUN AND (MAYBE) PROFIT" –DEC. 3 Former Muddraker staffer turned serial author Kyle Roesler '89 will look at the history of self-publishing, explain how to get started on the self-publishing journey and describe what to expect once that masterpiece is published. So far, Roesler has self-published six novels and a collection of short fiction.

RSVP for Mudd Talks

HARVEY MUDD IMAGES

CUSTOM ZOOM BACKGROUNDS Download an HMC-themed image to use as a background for your next Zoom

meeting.

Review and download images COMMUNITY RESPONSE TO COVID-19 EFFORTS ADDRESS URGENT NEEDS The Harvey Mudd community is mobilizing to help address urgent local, national and international needs arising from the COVID-19 crisis. From making face shields to studying the COVID-19 Open Research Dataset to offering expert advice, here are some of the efforts

underway.

HMC community response information

MAGAZINE

SUMMER 2020 ISSUE

In addition to reading about the Class of 2020 and their capstone projects, get to know the new board of trustee chair (another alumnus!), celebrate Prof. Van Hecke's 50th year teaching and learn about novel metal alloys (Bassman lab). Plus, we're introducing the first Ultimudd Gift Guide, a fun way to support some of our enterprising alumni. Read the summer 2020 issue

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