AMS10

AMS10 Course Website

Course Syllabus

Instructor:

Professor Marcella M Gomez mgomez26@ucsc.edu

Office Hourse (OH): Tuesday 3:30-5pm in BE 359b

TA's:

James Iwamasa jiwamasa@ucsc.ed, OH: Friday 1-2pm in BE 358

Lia Gianfortone lgianfor@ucsc.edu, OH: Wed 3-4pm in BE 358

Long Lu lklu@ucsc.edu, OH: Thursday 1-2pm in BE 358

sections:

All Sections are held in Soc Sci 1 135

James: Mon 1-3pm, Wed 9-11am

Long: Fri 11-1pm, Wed 11-1pm

Lia: Mon 3-5pm, Fri 9-11am

* no section Fri Sept. 28th, Mon Oct. 1, Wed Oct. 3.

Webcast

https://webcast.ucsc.edu/

user: ams-10-1

password: AMS10F18 

 

References:

[1]: Linear Algebra and its applications, fourth edition. David C. Lay.

[2]: Schaum's Outlines: Linear Algebra

[3]: 3Blue1Brown

[4]: A First Course in Linear Algebra

 

Midterm: midterm-distribution .pdf

MIdterm B.pdf Midterm Version B Solutions and Analysis.pdf

MIdterm A.pdf Midterm Version A Solutions and Analysis.pdf

 

Final Exam Review Material:

Practice Problems.pdf

Final-Review-Topics.pdf

Final Exam Stats

  Topic Assigned review before class Class Notes  HW
Thursday 9/27/18

-review syllabus

-introduction to vectors and complex numbers

3Blue1Brown Video: Vectors, what even are they?  Lecture1.pdf  
Tuesday 10/2/18

-complex numbers continued

 [4]: pgs 581-586 (review of last week's lecture on complex numbers)

complex exponential (This is material that will be covered in Tuesday's 10/2 lecture. A first pass at the material will help you to follow lecture)

 Lecture2.pdf  
Thursday 10/4/18

-Wrap up complex numbers

-Introduction to linear systems of equations.

 [4]: pgs 1-11 (nice introduction and motivation for linear algebra)

Other readings:

[1]: pgs 1-4

[2]:3.1-3.4

 Lecture3.pdf

 HW1.pdf

(Due Friday 10/12 5pm)

HW1_solutions.pdf

Tuesday 10/9/18

Elementary row operations, Echelon form, Triangular form,  Gaussian elimination 

 [1]: 1.1-1.2, 1.4-1.5

[2]: 3.5-3.9

 Lecture4.pdf  

Thursday

10/11/18

Reduced row echelon form 

   Lecture5.pdf

 HW2.pdf

(due 10/19 5pm)

HW2_solutions.pdf

 Tuesday

10/16/18

 Vector spaces, subspaces, linear dependence/independence

[3]: Linear combinations, span, and basis vectors

[1]: 1.4-1.5, 2.8, 4.1-4.3

 Lecture6.pdf  

Thursday

10/18/18

 row space, column space,

bases, rank, dimension 

 [1]:2.8-2.9, 4.5-4.6

[2]: Chapter 4

 

 Lecture7.pdf

rank and dimension.pdf

 HW3.pdf

(due 10/29 5pm)

HW3_solutions.pdf

Tuesday

10/23/18

bases, rank, and dimension continued 

Linear mappings,matrix-matrix product, rank-nullity theorem

[1]: 2.1

[4]:Linear Transformations and Matrices

Matrix Multiplication as Composition

Nonsquare Matrices as Transformations between Dimensions

 Lecture8.pdf  

Thursday

10/25/18

determinant and matrix inverse

 [3]: The determinantInverse matrices, column space and null space

[1]: 2.2-2.3, chapter 3

 Lecture9.pdf

 HW4_complete.pdf

(due 11/2/18 5pm)

 Tuesday

10/30/18

Midterm Review      Lecture10 Midterm Review.pdf  

Thursday

11/1/18

In-class midterm   Midterm Review Guide.pdf  

Tuesday

11/4/18

Eigenvalues, eigenvectors and relationship to transformations

 [3]: Change of Basis VideoEigenvalues and Eigenvectors Video

[1]: 5.1-5.4

 Lecture11.pdf  

Thursday

11/8/18

 

Finish suggested review above 

 Lecture12.pdf

 HW5.pdf

(due 11/16 5pm)

HW5_solutions.pdf

Tuesday

11/13/18

Markovian Process and relation to eigenvalues/eigenvectors, Examples of diagonalizable/non-diagonalizable matrices , complex eigenvalues/eigenvectors

 complex eigenvalues [1]:5.5

 

 Lecture13.pdf  

Thursday

11/15/18

SVD: Singular Value Decomposition

[1]: 7.4

 Lecture14.pdf

 

HW6.pdf

HW6_solutions.pdf

(due 11/30 5pm)

(counts for 2HWs)

Tuesday 11/20/18

Orhogonal complements, orthogonal sets, projections

[1]: 6.1-6.3

Lecture15.pdf  

Tuesday

11/27/18

Orhogonal decomposition,

Least-squares

[1]: 6.5-6.6

 Lecture16.pdf  

Thursday

11/29/18

Gram-Schmidt Process, Symmetric Matrices

[1]: 6.4, 7.1

 Lecture17.pdf

HW7.pdf

(due 12/7 5pm)

HW7_solutions.pdf

 Tuesday

12/3/18

Applications of Linear Algebra   Presentation by postdoctoral researcher Mohammad Jafari  Lecture18.pdf  

Thursday

12/6/18

Final Review Session   Review Session.pdf  

Matlab access

Matlab is installed  on all the Windows/PCs at all our labs and public computers in the libraries. 
 
To run Matlab do the following after logging in:
1) Open the "Software" folder on the Desktop
2) Open the "Math and Statistics" folder
3) Open "Matlab" folder
 
The Windows PCs run Windows 7 Enterprise 64bit. All the Win/PCs are configured the same at all our labs and they require login with CruzID and Blue password. Learning Technologies is manages all the public computers in the libraries (McHenry, and Science and Engineering) and the Windows PCs in the libraries are configured exactly the same as our lab computers. More information at:  http://its.ucsc.edu/computer-labs/.
 
Temporary user data files can be saved to the Desktop, but permanent copies will need to be saved elsewhere. User's can save or copy files to their UCSC Home Directory which is mapped as "X:" on the PCs, or use a USB Flash Drive, or email.
 
Our Windows PC lab at BE109 (Baskin Engineering 109) and Cowell Apartments are open 24 hours every day during the quarter, including holidays occurring during the quarter.