Summer 2016 - University of Houston
Skip to main content

Summer 2016

GRADUATE COURSE SUMMER 2016 - (05/16/16–08/14/16)

SENIOR UNDERGRADUATE COURSES

Course Section  Course Title & Session      Course Day & Time      Rm # Instructor 
Math 4377 12173 Advanced Linear Algebra I
(Session #2: 06/06-07/09)
MTWThF, 10am-Noon SEC 203 K. Kaiser
Math 4378 13667 Advanced Linear Algebra II
(Session #4:07/11-08/13)
MTWThF, 10am-Noon SEC 203 A. Török
Math 4389 18101 Survey of Undergraduate Math (online) (online) C. Peters

GRADUATE ONLINE COURSES

Course Section Course Title Course Day & Time  Instructor 
Math 5310 20278 History of Mathematics
(Session #2: 06/06 - 07/09)
(online) S. Ji
Math 5336 12739 Discrete Mathematics
(Session #2: 06/06 - 07/09)
(online) K. Kaiser
Math 5378 20283 Axiomatic Geometry
(Sesson #4: 07/11-08/13)
(online) L. Hollyer
Math 5382 15933 Probability
(Session #3: 06/06 - 07/21)
(online) C. Peters
Math 5383 20279 Number Theory
(Session #4: 07/11 - 08/13)
(online) M. Ru
Math 5389 16534 Survey of Mathematics
(Session #2: 06/06 - 07/09)
(online) G. Etgen

GRADUATE COURSES

Course Section Course Title Course Day & Time Rm # Instructor
Math 6397 19996 Scientific Code Development
(Session #4: 07/11 - 08/13)
MTWThF, Noon-2pm SEC 202 A. Török





-------------------------------------------Course Details-------------------------------------------------

SENIOR UNDERGRADUATE COURSES

 
Math 4377 - Advanced Linear Algebra I
Prerequisites:  
Text(s): Linear Algebra, Fourth Edition by  Stephen H. Friedberg, Arnold J. Insel, Lawrence E. Spence
Description: Syllabus:  Chapter 1, Chapter 2, Chapter 3, Chapter 4 (4.1-4.4), Chapter 5 (5.1-5.2) (probably not covered)

Course Description: The general theory of Vector Spaces and Linear Transformations will be developed in an axiomatic fashion. Determinants will be covered  to study eigenvalues, eigenvectors and diagonalization.
Grading:  There will be  three  Tests and the Final. I will take the two highest test scores (60%) and the mandatory final (40%). Tests and the Final are based on homework problems and material covered in class.

<< back to top >>
Math 4378 - Advanced Linear Algebra II
Prerequisites: Math 4377 or Math 6308
Text(s): Linear Algebra, 4th edition, by Friedberg, Insel, and Spence, ISBN 0-13-008451-4
Description: The instructor will cover Sections 5-7 of the textbook. Topics include: Eigenvalues/Eigenvectors, Cayley-Hamilton Theorem, Inner Products and Norms, Adjoints of Linear Operators, Normal and Self-Adjoint Operators, Orthogonal and Unitary Operators, Jordan Canonical Form, Minimal Polynomials.


 << back to top >>
Math 4389 - Survey of Undergraduate Math
Prerequisites: MATH 3330MATH 3331MATH 3333, and three hours of 4000-level Mathematics.
Text(s): Instructors notes
Description: A review of some of the most important topics in the undergraduate mathematics curriculum.

ONLINE GRADUATE COURSES

<< back to top >>
MATH 5310 - History of Mathematics
Prerequisites: Graduate standing
Text(s): No textbook is required.
Description: This course is designed to provide a college-level experience in history of mathematics. Students will understand some critical historical mathematics events, such as creation of classical Greek mathematics, and development of calculus; recognize notable mathematicians and the impact of their discoveries, such as Fermat, Descartes, Newton and Leibniz, Euler and Gauss; understand the development of certain mathematical topics, such as Pythagoras theorem, the real number theory and calculus.

Aims of the course: To help students
to understand the history of mathematics;
to attain an orientation in the history and philosophy of mathematics;
to gain an appreciation for our ancestor's effort and great contribution;
to gain an appreciation for the current state of mathematics;
to obtain inspiration for mathematical education,
and to obtain inspiration for further development of mathematics.

On-line course is taught through Blackboard Learn, visit http://www.uh.edu/webct/ for information on obtaining ID and password.

The course will be based on my notes.

Homework and Essays assignement are posted in Blackboard Learn. There are four submissions for homework and essays and each of them covers 10 lecture notes. The dates of submission will be announced.

All homework and essays, handwriting or typed, should be turned into PDF files and be submitted through Blackboard Learn. Late homework is not acceptable.

There is one final exam in multiple choice.

Grading: 40% homework, 45% projects, 15 % Final exam

<< back to top >>
MATH 5336 - Discrete Mathematics
Prerequisites: Graduate standing
Text(s): Discrete Mathematics and Its Applications, Kenneth H. Rosen, seventh edition, McGraw Hill,
ISBN-13 978-0-07-288008-3, ISBN-10 0-07-288008-2.
Instructor lecture note: Plus: on the Zermelo-Fraenkel Axioms and Equivalence of Sets.
Description:

Syllabus: Chapter 1 (Logic and Proofs): 1.1, 1.3, 1.4 -1.6  , Chapter 2 (Sets and Functions), Chapter 5 (Induction): 5.1-5.3, Chapter 9 (Relations)

The Zermelo Fraenkel Axioms; Equivalence of Sets in form of  my notes.

Grading: Midterm is worth  40%, the final is worth 40% and Homework is worth 20%.

For turning in Homework, students need to get the software program Scientific Notebook.




<< back to top >>
MATH 5378- Axiomatic Geometry  
Prerequisites: Graduate standing
Text(s): College Geometry: A Discovery Approach, David Kay, 2nd. Ed. ISBN:9780321046246
Description: An axiomatic approach to Finite Geometries, Taxicab Geometry, Spherical Geometry, Hyperbolic Geometry and a review of Euclidean Geometry. Does not apply toward the Master of Science in Mathematics of Applied Mathematics.

<< back to top >>

<< back to top >>
MATH 5382 - Probability
Prerequisites: Graduate standing and Two semesters of calculus and one semester of linear algebra
Text(s): Probability: With Applications and R | Edition: 1 by Robert P. Dobrow, ISBN: 9781118241257
Description: Sample spaces, events and axioms of probability; basic discrete and continuous distributions and their relationships; Markov chains, Poisson processes and renewal processes; applications. Applies toward the Master of Arts in Mathematics degree; does not apply toward Master of Science in Mathematics or the Master of Science in Applied Mathematics degrees.

<< back to top >>
MATH 5383 - Number Theory
Prerequisites: Graduate standing.
Text(s):

Instructor's lecture notes. The reference book will be "Beginning Number Theory" by Neville Robbins, second Edition.

Description:

Number theory is a subject that has interested people for thousand of years. This course is a one-semester long graduate course on number theory. Topics to be covered include divisibility and factorization, linear Diophantine equations, congruences, applications of congruences, solving linear congruences, primes of special forms, the Chinese Remainder Theorem, multiplicative orders, the Euler function, primitive roots, quadratic congruences, and introduction to cryptography . There'll be no specific prerequisites beyond basic algebra and some ability in reading and writing mathematical proofs.

<< back to top >>
MATH 5389 - Survey of Mathematics
Prerequisites: Graduate standing
Text(s): Instructor's notes
Description:  

GRADUATE COURSES

<< back to top >>
Math 6397 (19996) -Scientific Code Development
Prerequisites: Graduate standing.
Text(s): Instructor's notes, will be posted online
Description:

The purpose of this course is to acquire/improve programming skills in order to tackle mathematical problems that require computations (e.g. numerically solving ODEs, PDEs, SDEs). The emphasis is on converting an algorithm or theoretical result into a good code, and presenting the results in a convenient format.

Students can use a language they are familiar with or, if needed, learn a new one. Some material will be posted on-line. After presenting the basic principles, students will work on projects. During the face-to-face meetings we will discuss and debug code.

The course is suitable both for students who have very little/no programming experience and more advanced students. The individual projects will be tailored to each student's level. Alternatively, students can work on projects that are relevant to their own research.

<< back to top >>