Math 373

Introduction to Numerical Analysis

South Dakota School of Mines & Technology, Fall 2020, 3 credit hours

Section 1: MWF 9-9:50 a.m. McLaury 207

Section 3: MWF 2-2:50 p.m. McLaury 207

Final is scheduled for
Finals week December 2-8, 2020


Instructor: Dr. Kyle Riley

Office: McLaury 307-C
Phone: 394-2471
e-mail:

Office Hours:  see my schedule   Or you can make an appointment

Textbook

Course: This course is an introduction to the use of numerical methods with the specific objective of providing background on the intelligent use of methods to solve mathematical problems. Students should be experienced in Calculus 1-2, Ordinary Differential Equations, and have basic knowledge of programming. This course will focus more on concepts and theory rather than simple procedures. We will use applications and examples to illustrate the power and the peril of using numerical methods to solve problems.
BOR mandate on D2L: In this course we will use D2L, so we can respond quickly to changing public health conditions. You can access D2L from the central D2L login page. You can also go to the "Current Students" section on the South Dakota Mines homepage and click on the D2L icon. Use your campus Single Sign On email and password to get in. If you have problems, call the helpdesk at 605-394-1234 or email helpdesk@sdsmt.edu
University mandated statement on structure: Course Structure for Fall 2020 To align with COVID-19 guidelines, the course is structured in a flipped structure where there are videos that are available on a YouTube playlist and students are expected to review the videos, read the text, review the class notes, and attempting the homework before class. In class, we will work problems and students will be evaluated in class. Lastly, the class population will be divided up into three groups where each group would attend class once a week. Thus, you would be assigned to a group that would only meet on Monday, Wednesday, or Friday. The class will also entail quizzes online, programming assignments using Matlab, and the exams will be take home. If a student would like to complete the course entirely online then that option is available and the student should contact the faculty member prior to start of classes.

Outline: The class will start with a brief introduction on machine arithmetic and error. The course will also cover simple interpolation and solving nonlinear equations, Numerical methods for solving Ordinary Differential Equations will be a strong feature of the course along with a strong emphasis on using Matlab. The course will close on solving linear systems.

Technology: This course will require the use of Matlab and LaTeX. If a student desires to use a PC Notebook, laptop, tablet, tablet PC, or any other form of electronic medium in Math 373 then your use should not be a distraction. If your used of technology is a distraction then you will be asked to turn off device or leave the class. Please see the laptop policy for details.
University mandated note on technology: The university would also like to note that you should have mastery knowledge regarding the use of your computer with the ability to turn on and turn off your computer along with power management to sustain the use of your computer. You should also have access to (and know how to use): web camera, microphone, speakers (or headphones), Zoom conference software, a web browser, D2L, you campus email, Microsoft Office products (word, excel, powerpoint), a pdf reader, along with a wi-fi (or ethernet) connection to the internet. For help related to the services provided by the university there is a reference at https://www.sdsmt.edu/its/help/ .

Grading: There will be three exams each worth 60 pts. The highest score between exam 1 and exam 3 will be retained, exam 2 cannot be dropped. There are two sets of MATLAB programs for a total of 55 points, the first set you can submit up to three programs with the top two scores being retained (each worth 15 points) and the second set is made of two programs with the top score retained with that score being 25 points. There will be quizzes administered on D2L that will cover course material and all quiz scores will count (no dropped quiz scores). Each individual quiz percentage will be equally added into an overall average percentage score, which the overall percentage will be weighted by 50 points. Class Participation will account for 60 points of the total grade.
The total number of points is 285.

Note: Any assignment that is to be turned in must be handed by the assigned deadline. Assignments turned in after 5 pm (local time) on the due date will not be accepted!

It is the student's responsibility to check about missed class work or exams especially when the problem is known previous to the absence. In all cases, the grade is based on what knowledge the student is able to convey and it may be necessary for the instructor to schedule an individual student conference to follow up and determine the proper grade to be assigned.  Departmental policy prohibits final exams be given early.  Plus and minus grades are prohibited by the state system.  I reserve the right to change the grading policy as needed.

Grade Scale:

90 - 100% A

80 - 89% B

73 – 79% C

65 – 72% D

below 65% F

Classroom Participation
Class is structured as a flipped classroom. This structure was selected in order to comply with university restrictions for COVID-19. This allows a mixed mode for class participation that a student can select at the start of the semester. The two modes are: in class participation, or completely online. At the start of semester, students can pick the mode they would like to utilize and that mode will not be changed unless the university orders a move for all classes to move online.

Classroom Policies
Due to chronic problems in the past I have taken the time to write down some classroom policies and procedures.

Students are also welcome to view a few Keys to Success

Mandated ADA Statement
SD Mines strives to ensure that physical resources, as well as information and communication technologies, are accessible to users in order to provide equal access to all. If you encounter any accessibility issues, you are encouraged to immediately contact the instructor of the course and the Title IX and Disability Coordinator, Ms. Amanda Lopez at disabilityservices@sdsmt.edu or 394-2533. Students with special needs or requiring special accommodations should also contact the instructor and the Title IX and Disability Coordinator. More information can be found at https://www.sdsmt.edu/Campus-Life/Student-Support/Disability-Services/


Please refer to the web page

webpages.sdsmt.edu/~kriley
for course updates, changes in the syllabus, and make-up work.
 

Last updated 8/12/2020



Catalog Description: MATH 373 INTRODUCTION TO NUMERICAL ANALYSIS (3-0) 3 credits.
Prerequisite: MATH 321 and CSC 150 or CSC 170 or permission of instructor. This course is an introduction to numerical methods. Topics include elementary discussion of errors, polynomial interpolation, quadrature, non-linear equations, and systems of linear equations. The algorithmic approach and efficient use of the computer will be emphasized. Additional topics may include: calculation of eigenvalues and eigenvectors, numerical differentiation and integration, numerical solution of differential equations.

Instructional Methods: This class is structured as a flipped class. This course design heavily depends on students watching the lectures and reviewing the reading material before the class session. Students that are identified as not prepared will be assigned lower points for class participation. Adjusting to the model can be challenging so students should communicate with the instructor when there are any questions or concerns regarding the expectations for this class. It is very important that students keep up with the class schedule and it is expected that students dedicate at least 9 hours a week for this class.

Class Assessment Methods: Several different assessment methods will be employed in evaluating student learning. Exams, quizzes, projects, and in class evaluations will be the primary assessment tools for this class. However, group work, written reports, and oral presentations may also be required. Please consult the course map on D2L for details on the course learning outcomes for this course.

Course Outcomes: Students upon completion of this course should, at a minimum, be able to:

  1. Write finite approximations of the first and second derivative.
  2. Identify the different types of error in numerical methods.
  3. Implement the use of numerical approximation for integration.
  4. Implement the use of Runge-Kutta to solve initial value problems.
  5. Apply numerical methods to solve systems of differential equations.
  6. Apply numerical methods to solve nonlinear equations.
Classroom Policies

Most of these policies are common sense and are associated with being a responsible adult at an institution of higher learning.


Academic Honesty and Integrity

Please note the academic integrity expectations for each assignment. Students can collaborate in regards to the homework and can utilize any other resources to help learn the material while working on the homework. The programming assignments are individual assignments, students are not allowed to collaborate with anyone other than contacting the instructor. Students that share their code with anyone else related to the programming assignments are also in violation of the academic integrity of the assignment. The exams are also individual assignments and students should not collaborate with anyone else (on or off campus) while working on an exam. Students can use any of the materials provided by the instructor while working on the exams, internet searches are only allowed for help with LaTeX while working on exams. Quizzes are individual assignments and students should not collaborate with anyone while working on a quiz. Requirements for each quiz vary so students should carefully read the instructions for every quiz before attempting the quiz. Penalties for violating the academic integrity can vary depending on the violation, but all violations will be reported to the university judicial officer and the assignment of an F for the course is a possible penalty for violating this policy. Please immediately contact the instructor if you have any questions regarding the academic integrity restrictions for any assignment for this class.

All students will be held to the institutional standard for academic honesty and integrity. The following are the relevant sections taken from the student handbook ( SD Policies and Procedures):
Acts of academic dishonesty will include, but are not limited to, the following:


Disruptive Behavior

The Student Handbook prohibits the disruption or obstruction of teaching.(Section 3, Category B, subsection 2 in the SD BOR Policies and Procedures)
Activities that are disruptive and/or obstructive to teaching will include, but are not limited to, the following: