University of Minnesota
CSci 2033: Elementary Computational Linear Algebra
index.php

Spring 2019

Meeting time and place:
      Lecture: Mondays, Wednesdays, and Fridays 9:05am-9:55am, Tate Hall 105.

      Recitation 011: Tuesday 10:10am-11:00am, Amundson Hall 240. (Saurabh Jogalekar)
      Recitation 012: Tuesday 11:15am-12:05pm, Amundson Hall 240. (Prashanth Venkatesh)
      Recitation 013: Tuesday 12:20pm-1:10pm, Amundson Hall 240. (Prashanth Venkatesh)

Instructor:


   Dr. Victoria Interrante (pronouns: she/her)
   office hours: Mondays, Wednesdays, and Fridays 10:00am-10:45am, and by appointment
   Keller Hall 6-185; (612) 625-3543
   email: interran{at}umn.edu



Graduate Teaching Assistants:
     


   Prashanth Venkatesh
   office hours: Mondays 3-4pm and Fridays 1-2pm, and by appointment
   Keller Hall 2-246
   email: venka220{at}umn.edu


     


   Saurabh Jogalekar
   office hours: Mondays 11am-1pm, and by appointment
   Keller Hall 2-209
   email: jogal002{at}umn.edu



Undergraduate Teaching Assistants:
     


   Kirsten Qi
   office hours: Tuesdays and Thursdays 10am-11am, and by appointment
   location: Keller Atrium, table 1
   email: qixxx259{at}umn.edu


     


   Youya Xia
   office hours: Thursdays 1:30pm-2:30pm, Fridays 4pm-5pm, and by appointment
   location: Keller 4-240
   email: xiaxx244{at}umn.edu


     


   Kenneth McCumber
   office hours: Tuesdays and Wednesday 12pm-1pm, and by appointment
   location Shephard Labs, room 304, table 3
   email: mccum020{at}umn.edu


     


   Di Wu
   office hours: Tuesdays 2:30pm-4:30pm, and by appointment
   location: Keller Atrium, tables 1 and 2
   email: wuxx1559{at}umn.edu


     


   Jessica Lee
   office hours: Tuesdays and Thursdays 12:45pm-1:45pm, and by appointment
   location: Keller Atrium, table 2
   email: leex7807{at}umn.edu



Text:



Linear Algebra and Its Applications, Fifth Edition, by David C. Lay, Pearson Higher Education
[student resources]


Moodle web page:
      https://ay17.moodle.umn.edu/course/view.php?id=18927

Course goals:
      This course offers a general introduction to linear algebra and the use of matrix methods to solve a variety of computer science problems. Topics will include fundamental concepts (vectors, matrices, orthogonality, rank, eigenvalues, ...) and standard algorithms for solving common problems (systems of linear equations, eigenvalue problems, least squares systems, ...). Some assignments will require programming in Matlab.

Prerequisites:
      Calculus I or equivalent, (e.g. Math 1271, 1371 or equivalent). Students are also expected to have had some programming experience, in any programming language. Note: students who have already received credit for MATH 2243 or MATH 2373 are not required to also take CSCI 2033. Specifically, computer science minors who have taken MATH 2243/2373 may choose a different CSCI course to fulfill their required credit hours for the minor; computer science majors who have taken MATH 2243/2273 can opt out of CSCI 2033 if and only if they later take MATH 4242 as one of their upper division electives. Please see one of the undergraduate advisors for more information or additional help with requirements.

Grading:
      There will be four midterm exams in this class, approximately ten problem sets, frequent in-class exercises (which will be graded on a credit/no-credit basis), and a mandatory final exam. Before computing final grades, for each individual the lowest single exam score and the lowest two problem set scores will be dropped. Exam scores may be curved if necessary to bring the average grade up. No scores will be lowered by any curve.
      Class Participation........................................ 5%
      Problem Sets.............................................. 30% (total)
      Midterm Exams........................................... 40% (total)
      Final Exam.................................................. 25%

Grades will be updated regularly and made available via Moodle. Please check your grades often. If you see any discrepancy between the grades you think you should have and the grades that are posted, you need to alert the instructor or one of the TAs as soon as possible.

Exams:
    Exam 1....................................Friday February 15,   9:05-9:55am,   105 Tate Hall
    Exam 2....................................Monday March 11,   9:05-9:55am,   105 Tate Hall
    Exam 3....................................Friday April 5,   9:05-9:55am,   105 Tate Hall
    Exam 4....................................Wednesday April 24,   9:05-9:55am,   105 Tate Hall
    Final Exam...............................Monday May 13,   1:30pm-3:30pm,   Tate B50

All exams will be closed book, and no calculators, phones, or other electronic devices will be allowed. Students will be permitted to use one double-sided, 8.5x11 note sheet for each midterm exam and two double-sided 8.5x11 note sheets for the final exam. Due to the nature of the subject, the material tested on each exam will often be cumulative (e.g. mastery of concepts tested on exam n may be necessary to successfully solve problems found on exam n+1).

Make-up Policy:
      Students are required to take each of the exams at its scheduled time. Make-up exams will not be offered. If a student cannot attend any one of the four midterm exams because of illness, injury, or any other extenuating circumstance, that exam score will have to count as the one that is dropped. If a student chooses to skip an exam, anticipating that the missing score will be dropped, and they then find that they are unable to take a subsequent exam due to illness, injury, or any other reason, the skipped exam will count as a 0. Please plan accordingly.

Problem Sets:
      Regular problem sets will be handed out each week and will be due the following week at the beginning of class; please see the schedule for more details. Graded problem sets will be returned during the recitation sessions. A problem set will be considered late if it is not received by 9:15am on the day that it is due. Late assignments will be accepted until 4:30pm on the due date only, and will be assessed a late penalty of 10%. Late penalties will be strictly enforced. No credit will be given for any assignment that is not received by the professor or one of the TAs before 4:30pm on the due date, and no exceptions can be made to this rule. Please plan accordingly. No makeup assignments will be offered. Assignments that cannot be turned in to the instructor or one of the TAs directly may be left with the front desk staff at 4-192 Keller Hall. Such assignments must be time-stamped by the recipient.

Academic Honesty:
      All work that a student submits is expected to be the result of his or her own intellectual efforts. Students are encouraged to discuss problems with their peers, ask each other for help when stuck, validate their own answers using online tools, etc., but "division of labor" on assignments and verbatim copying of answers from others is not allowed. Misrepresenting the product of another person's intellectual effort as one's own is considered plagiarism, and is subject to serious penalties. You are advised to read the Department of Computer Science and Engineering's detailed policies on academic conduct for more information. The penalty for a first offense of cheating or copying on any assignment is a grade of zero on that assignment, and a memo regarding the incident will be sent to the Student Scholastic Conduct Committee and to the Head of the Computer Science and Engineering Department. The penalty for a second offense is a minimum of an F in the class, and can be as severe as expulsion from the University. Note that "first offense" does not mean "the first time in CSci 2033". Any prior incidents of cheating or plagiarism at the University will be taken into account when determining the penalties for misconduct in this class. More information about the University's expectations regarding student conduct and academic integrity is available from the University's Office of Community Standards. The complete text of the University Policy on student learning and student responsibilities can be found through this link.

Grading Policy:
      This course will follow the University's Uniform Grading and Transcription Policies, and the University's policy on the amount of academic work expected per credit. The correspondence between letter grades and percentages is given in the table to the right.
The amount and quality of work required for a grade of S will not be less than the amount and quality of work required for a C-. You are urged to check your registration for accuracy of course and section numbers and grading options.


Incompletes and Withdrawals:
      A grade of I can be assigned only under extraordinary circumstances: to be elegible, a student must have kept up with all of the required coursework to date and must have been prevented by an unforseeable emergency from completing the remainder of the coursework on time. Students should be aware that there is a time limit on when they may request that a grade in a course be changed to a W (withdrawal). A student may petition a college scholastic committee or other appropriate body concerning any of the provisions of the grading policy but may not initiate an appeal of the grade earned in a course more than one calendar year after the grade was assigned--and changing a grade to a W is subject to the one-year limitation on appeal as well. Students are not permitted to withdraw from a class to avoid a grade of F resulting from an incidence of academic dishonesty.

Disabiliy Accommodation:
        The University of Minnesota is committed to providing equitable access to learning opportunities for all students. The Disability Resource Center (DRC) is the campus office that collaborates with students who have disabilities to provide and/or arrange reasonable accommodations. If you have, or think you may have, a disability (e.g., mental health, attentional, learning, chronic health, sensory, or physical), please contact DS at 612-626-1333 to arrange a confidential discussion regarding equitable access and reasonable accommodations. If you are registered with DS and have a current letter requesting reasonable accommodations, please contact me early in the semester to review how the accommodations will be applied.

Mental Health:
        As a student you may experience a range of issues that can cause barriers to learning, such as strained relationships, increased anxiety, alcohol/drug problems, video game addiction, feeling down, difficulty concentrating, and/or lack of motivation. These mental health concerns or stressful events may lead to diminished academic performance or reduce your ability to participate in daily activities. University of Minnesota services are available to assist you with addressing these and other concerns you may be experiencing. You can learn more about the broad range of confidential mental health services available on campus via www.mentalhealth.umn.edu.

Equity, Diversity, Equal Opportunity and Affirmative Action:
        The University is committed to enabling the open exchange of ideas within an environment of mutual respect that embodies the values of academic freedom, responsibility, integrity, and cooperation, and is free from racism, sexism, and other forms of prejudice and intolerance. Detailed information about the University's policies on equity, diversity, equal opportunity and affirmative action can be found online at: and http://regents.umn.edu/sites/default/files/policies/Equity_Diversity_EO_AA.pdf.

Sexual Assault, Sexual Harassment, Stalking and Relationship Violence
        Title IX prohibits sex discrimination, including sexual harassment, sexual assault, stalking, and relationship violence, in education and educational institutions. The University's new policy on sexual harassment can be found at: https://policy.umn.edu/hr/sexharassassault. You are welcome to talk with me about any concerns you may have related to sexual misconduct. In my role as a University employee, I am required to share information that I learn about possible sexual misconduct with the campus Title IX office that addresses these concerns; this allows a Title IX staff member to reach out to those who have experienced sexual misconduct to provide information about the personal support resources and options for investigation that they can choose to access. Within the requirements of my job, I will be as responsive to your requests for confidentiality and support as possible. You can also or alternately choose to talk with a confidential resource that is not required to share any information they may learn about sexual misconduct. Confidential resources include The Aurora Center, Boynton Mental Health and Student Counseling Services.

If your preferred name that you use in your daily life does not match the name that is associated with your x500 account, please inform the instructor so that she will know how to address you by your preferred name and misunderstandings can be avoided.