SYLLABUS. PREREQUISITES: experience with a scientific programming and a grade of a C or better in MAC 2312: Calculus 2 (or in MAC 2512 or in MAC 3473)

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MAS 3114-Web FALL 2015 SYLLABUS COURSE TITLE: Computational Linear Algebra CATALOG DESCRIPTION: Linear equations, matrices, and determinants; vector spaces and linear transformations; inner products and eigenvalues. This course emphasizes computational aspects of Linear Algebra. COURSE CONTENT: MAS 3114 is designed to serve science, computer science, quantitative science, engineering majors, and mathematics minors. Mathematics majors are required to take MAS 4105. MAS 3114 is a 3 credit course on linear algebra that is the computational nature of topics. These topics include linear equations, matrices, determinants, vectors, vector spaces, linear transformations, inner products, eigenvalues, and applications. Computer projects are assigned (4 per semester). We require the students to learn MATLAB, a programming environment, for the projects. Proofs are not stressed as much as in MAS 4105 Linear Algebra 1. The course is delivered entirely on-line. PREREQUISITES: experience with a scientific programming and a grade of a C or better in MAC 2312: Calculus 2 (or in MAC 2512 or in MAC 3473) INSTRUCTOR: Dr. Larissa Williamson Office: Little 380, Tel. 352-294-2341 E-mail: lwill@ufl.edu E-learning (Canvas): https://lss.at.ufl.edu/ The course is divided into 5 units: Unit 1 M01 M06 Linear Systems Unit 2 M07 M14 Matrices & Determinants Unit 3 M15 M21 Vector Spaces & Bases Unit 4 M22 M26 Eigenvalues & Eigenvectors Unit 5 M27 M32 Orthogonal Sets & Linear Models FINAL EXAM: M01 M32

Course Calendar MAS 3114 Fall 2015 Monday Tue Wed Thursday Friday 24 25 26 27 28 August M1 M2 M3 31 1 2 3 4 September M4 M5 Modules1-4 due M6 7 8 9 10 11 Labor Day Review 1 Modules5-6 due M7 14 M8 15 16 M9 17 Modules7-8 due 18 Project1 due M10 21 M11 22 23 M12 24 Modules9-11 due 25 M13 28 29 30 1 2 October M14 Review 2 Exam 1:M1-14 Modules12-14 due 5 6 7 8 9 Project2 due M15 M16 Module15 due M17 12 13 14 15 16 M18 M19 Modules16-18 due M20 19 20 21 22 23 M21 Review 3 Modules19-21 due M22 26 27 28 29 30 Project3 due M23 M24 Modules22-23 due M25 2 3 4 5 6 November M26 Review 4 Exam 2:M15-26 Modules24-26 due Homecoming 9 10 11 12 13 M27 Veterans Day Module27 due M28 16 17 18 19 20 Project4 due M29 M30 Modules28-29 due M31 23 24 25 26 27 M32 Thanks giving Holiday December 30 1 2 3 4 Review 5 Quiz: M27-32 Modules30-32 due Review 7 Review Final 8 Final Exam: M1- M32 9

TEXTBOOK & ACCESS CODE: You have several options of purchasing the textbook and MyMathLab access code: 1. The Course Pack Linear Algebra and Its Applications plus MyMathLab with Pearson etext -- Access Code Card, 5/E Authors: David C. Lay, Steven R. Lay, Judi J. McDonald ISBN: 9780321989925 can be purchased on Campus bookstore or on-line directly from PEARSON at http://www.mypearsonstore.com/ 2. MyLab & Mastering Student Access Code (includes E-Book) can be purchased on-line during the MyLab and Mastering registration process within Canvas. See the Registration instructions on the course main page in Canvas under the Course Tools & Technology. IMPORTANT NOTES: 1. You can use only one of the options listed above, not both. 2. If you have already purchased a used textbook, you are also required to purchase a student access code during the registration with MyMathLab & Mastering within Canvas (see option 2 above). 3. We strongly recommend not to purchase the Course Pack or MyLab access code on-line at Amazon.com, EBay, or other resellers rather than UF bookstore or PEARSON because most of the times the codes are already expired or have been redeemed by other students. LECTURE NOTES: Lecture note shells make the note taking easier and are required in the course. They can be printed from Canvas at https://lss.at.ufl.edu/ (under Lecture Notes) or purchased at Target Copy (1412 W University Ave, Gainesville, FL 32603). MODULES & DUE DATES: It is advisable to complete a module on the date indicated in the Calendar so that you will stay on track and avoid having too many Modules to complete by the Due Date. Each Module# becomes available 1 week prior to the date marked M# in the Calendar and will be closed on the Due Date at 11:59 pm ET. The assignments, which are required to be completed for each Module, include On-line Homework and Learning Catalytics questions. REVIEW: The dates indicated in the calendar as Review are the due dates for Review Modules. The assignments that are required to be completed for each Review Module are the Learning Catalytics questions. EXAMS & QUIZ: There will be two Exams, one Quiz, and an optional Final Exam offered during the term. Exam 1 covers Units 1-2, Exam 2 covers Units 3-4, the mandatory Quiz covers Unit 5, and the optional Final is cumulative it covers Units 1-5. All exams in this course must be proctored through ProctorU. Please see complete information about the Exams and ProctorU on Canvas under the link Exam Information. The Quiz is mandatory but it does not require proctoring. All exams and quiz have to be taken on the day indicated in the Calendar. All exams are multiple-choice and will be graded by the software upon submission on a scale from 0 to 120. The Quiz is also multiple-choice and graded on a scale from 0 to 60 points. It may be necessary to miss an Exam during the term or you might not be satisfied with one of your grades earned on the Unit Exams. For these reasons, an OPTIONAL FINAL

EXAM will be given at the end of the term on the date indicated in the Calendar. The best 2 out of 3 exam scores will count. Please see the complete exam information on the Course Homepage in Canvas under the link Exam Information. MAKEUP POLICY ON EXAMS: If you are missing a Unit Exam due to legitimate documented circumstances, you have an option either to take the Final Exam as a MakeUp or, if you wish to make it up before the last day of classes and save the Final for another test, you can schedule a makeup earlier: please contact Dr. Williamson (lwill@ufl.edu) and provide the documentation at least a week prior to the test or immediately afterwards if you were sick. Late excuse documentation will not be accepted. No makeups will be given at the end of the term. TEXTBOOK HOMEWORK: Textbook homework problems are assigned after each lecture. They will not be graded but should be considered as an additional tool for mastering the material and preparing for the Exams. A list of recommended Textbook Homework problems is located in each corresponding Module on Canvas. TEXTBOOK READINGS: Reading the textbook is a part of learning process. The students are strongly recommended to read the corresponding sections of the textbook AFTER viewing Part I or Part II of a lecture and BEFORE taking the quiz in Learning Catalytics. The pages of the textbook that match the content of a lecture are listed in each corresponding Module in Canvas. ON-LINE HOMEWORK: Each on-line Homework assignment (HW) is a set of problems assigned in MyLab and numbered according to the module covered. A HW assignment is due at 11:59 pm on the due date indicated in the Calendar and on MyLab Assignments page and will be closed after the due date. A credit for a HW will be given according to the percent value of the work completed. There will be total of 32 assignments offered and the 2 lowest scores will be dropped. A maximum of 90 points can be earned on HW. MAKEUP POLICY ON ON-LINE HOMEWORK: If you missed the due date on homework on a legitimate and documented reason, you have to present a valid documentation to Dr. Williamson prior to the due date or right afterwards if you were sick. Late documentation will not be accepted. No extensions on HW will be given after the due date without an appropriate documentation. PROJECTS: 4 computer projects will be assigned during the semester and submitted in Canvas before the due dates indicated in the Calendar. All projects are to be completed by using MATLAB software. Please visit the link MATLAB Projects on the Canvas homepage for more information. Each project is worth 30 points. Thus, up to 120 points can be earned on the Projects. IMPORTANT NOTE: Homework, exams, and projects will not be reviewed, offered, and/or accepted for grading after the end of the term. We will not accept any late excuse documentation. You have to present to your Instructor an appropriate documentation before you miss an Exam or right after you came back to school if you were sick to be eligible

for a makeup. You can discuss a Unit Exam, project, or homework within one week and the Final exam within 2 days with your instructor if there is a grading error or any other problem. LECTURE PARTICIPATION: Your Lecture Participation will be monitored by Pearson s Learning Catalytics software that can be accessed from MyLab & Mastering after you register with the site. Please see the complete information on registration and access to Learning Catalytics by going to the Canvas page Course Tools and Technology and clicking on Course Materials & Registration Instructions. Your responses will be graded and recorded in the gradebook. A total of 38 sessions will be offered. There are 2 questions per session. Each question is worth 1 point and the grade will be assigned as 75% for participation and 25% for correctness. Each session will count out of 2 points. The three lowest scores for the Lecture participation will be dropped at the end of the term. The total score will count out of 70 points. CALCULATOR POLICY: Calculators may be useful for some homework problems but are not required in the course and not allowed on the exams. SPECIAL ACCOMODATIONS: Students with learning disabilities requesting accommodations must first register with the Dean of Students Office. The Dean of Students Office will provide the student with documentation which must be turned in to the Instructor when requesting accommodations. COURSE GRADE: The course grade is based on 580 points accumulated as follows: 35 Lecture Participation @ 70 points 12.07 % 30 On-line homework @ 90 points 15.52 % 4 Projects @ 120 points 20.69 % 1 Quiz @ 60 points 10.34 % 2 Exams @ 240 points 41.38 % Total: 580 points 100 % The course grade is the grade satisfying the conditions below and will be strictly adhered to: Passing Grades Minimum % Non-passing Grades Minimum % A 90 % C- 62 % A- 86 % D+ 58 % B+ 82 % D 54 % B 78 % D- 50 % B- 74 % E 0 % C+ 70 % C 66 % NOTE: A passing grade in the course is a C or better.

GRADE POSTING: All grades will be posted in a timing manner on E-Learning (Canvas) at http://lss.at.ufl.edu. You are advised to check regularly whether your grades are handled and recorded properly. You should immediately report any problem with your grade to your Instructor. HELP: Please visit the Resources & Help link on Canvas Homepage for complete information.