程序代写代做 data mining finance graph Bioinformatics algorithm DEPARTMENT OF MATHEMATICAL AND COMPUTATIONAL SCIENCES UNIVERSITY OF TORONTO MISSISSAUGA

DEPARTMENT OF MATHEMATICAL AND COMPUTATIONAL SCIENCES UNIVERSITY OF TORONTO MISSISSAUGA
Class Location & Time Instructor
Office Location
Office Hours
E-mail Address Course Web Site
Teaching Assistant Course Description
CSC338H5S LEC0101 Numerical Methods Course Outline – Winter 2020
Wed, 03:00 PM – 05:00 PM IB 235 Lisa Zhang
DH3078
lczhang [at] cs [dot] toronto [dot] edu
https://www.cs.toronto.edu/~lczhang/338
Ammous Mustafa
Computational methods for solving numerical problems in science, engineering and business. Linear and non-linear equations, approximation, optimization, interpolation, integration and differentiation. The aim is to give students a basic understanding of floating-point arithmetic and the implementation of algorithms used to solve numerical problems, as well as a familiarity with current numerical computing environments.Course concepts are crucial to a wide range of practical applications such as computational finance and portfolio management, graphics and special effects, data mining and machine learning, as well as robotics, bioinformatics, medical imaging and others. [24L, 12T]
Prerequisite: CSC148H5, CSC290H5/MAT202H5; MAT134H5/MAT136H5/MAT134Y5/MAT135Y5/MAT137Y5/MAT157Y5/MAT233H5, MAT223H5/MAT240H5; CSC263H5/1.0 MAT credit at the 200+ level.
Exclusion: CSC336H1, CSC350H5, CSC350H1, CSC351H1, CSCC37H3 (SCI)
Distribution Requirement: SCI
Students who lack a pre/co-requisite can be removed at any time unless they have received an explicit waiver from the department. The waiver form can be downloaded from here.
Textbooks and Other Materials
Michael Heath, “Scientific Computing: An Introductory Survey,” Second Edition, Mc-Graw Hill, 2002.
Assessment and Deadlines
Type Description Due Date Weight
Assignment Homework On-going 35%
Term Test Midterm Test 2020-02-26 20%
Final Exam TBA 40%
Other Floating (added to midterm or exam) 5%
Total 100%
More Details for Assessment and Deadlines
There are nine homework assignments in total, due weekly, with each worth an equal amount.
There are two options for the weighting of the midterm and final exam; we choose the one that gives you the highest grade:
1. the midterm is worth 25% and the final exam is worth 40%; 2. the midterm is worth 20% and the final exam is worth 45%.
(This explains the 5% ‘floating’ grades; it is assigned to whichever of the midterm or final exam is the higher grade.)
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Students must earn 40% or above on the exam to pass the course; otherwise, the final course mark will be set no higher than 47%.
Penalties for Lateness
Assignments are to be submitted electronically using MarkUs by 9pm on the due date. Assignments submitted electronically will be timestamped based on the server time, not the student’s local/PC time.
There will be a one hour grace period for late assignments. In addition, each student will receive six grace tokens; each grace token can be used for a four-hour extension for an assignment. For example, you may choose to use all six grace tokens on the first assignment, extending its deadline by 24 hours. Or, you may wish to use three tokens for each of two assignments, extending each deadline by 12 hours. MarkUs automatically tracks and deducts grace tokens.
Procedures and Rules
Missed Term Work
Students should immediately contact the instructor via email by no later than the due date if a deadline cannot be met. In the case of medical problems, you are required to have a doctor complete a UTM medical certificate, which must say “I saw [student’s name] on [date] and it is my medical opinion based on my examination that the student is medically unfit to complete his work at this time. He/she should be able to continue with their studies by [date].” Medical notes saying that the Doctor saw you after you recovered are not adequate and will not be accepted.
Missed Final Exam
Students who cannot write a final examination due to illness or other serious causes must file anonline petition within 72 hours of the missed examination. Original supporting documentation must also be submitted to the Office of the Registrar within 72 hours of the missed exam. Late petitions will NOT be considered. If illness is cited as the reason for a deferred exam request, a U of T Verification of Student Illness or Injury Form must show that you were examined and diagnosed at the time of illness and on the date of the exam, or by the day after at the latest. Students must also record their absence on ACORN on the day of the missed exam or by the day after at the latest. Upon approval of a deferred exam request, a non-refundable fee of $70 is required for each examination approved.
Academic Integrity
Honesty and fairness are fundamental to the University of Toronto¡¯s mission. Plagiarism is a form of academic fraud and is treated very seriously. The work that you submit must be your own and cannot contain anyone elses work or ideas without proper attribution. You are expected to read the handout How not to plagiarize (http://www.writing.utoronto.ca/advice/using-sources/how- not-to-plagiarize) and to be familiar with the Code of behaviour on academic matters, which is linked from the UTM calendar under the link Codes and policies.
You may not discuss the homework with anyone other than your instructors and teaching assistants. The only exceptions are:
Asking and answering questions on Piazza. Please do not share partial solutions or code on Piazza. During office hours, under the supervision of an instructor or teaching assistant.
During certain tutorials, under the supervision of an instructor or teaching assistant.
Final Exam Information
Duration: 2 hours
Aids Permitted: 1 page(s) of double-sided Letter (8-1/2 x 11) sheet
Additional Information
Here is the tentative schedule for the course. Please note that the course schedule is subject to change, and will be updated on the course website.
Week
Lecture Topic
Tutorial Topic
Deadline
1
Introduction; Errors in Scientific Computing
Software Setup for Homework 1 (Optional)
2
Floating-Point Numbers
Floating-Point Numbers
Homework 1
3
Systems of Linear Equations; Gauss Elimination
Numpy Tutorial
Homework 2
4
Vector and Matrix Norms; Gauss Elimination With Partial Pivoting
Gauss Elimination
Homework 3
5
Complete Pivoting; Modified Problems; Cholesky Factorization
Cholesky Factorization
Homework 4
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6
Linear Least Squares; The Normal Equation
Homework 5
7
Nonlinear Equations; Interval Bisection
Midterm Takeup
9
Fixed-Point Iteration; Newton’s Method; Secant Method
Fixed-Point Iteration
Homework 7
10
Nonlinear Optimization; Golden Section Search; Newton’s Method
Nonlinear Equations
Homework 8
11
Gradient Descent; Newton’s Method
Exam Review
Homework 9
12
Principal Component Analysis
If the university is closed on February 26th, the midterm will be rescheduled for the next lecture on March 4th.
The aid sheet for the final exam must contain no more than 12,000 characters total. If typed, it should use 12-point font or larger.
Last Date to drop course from Academic Record and GPA is March 8, 2020.
Curve Fitting
Midterm; Householder Transform
No tutorials
8
Homework 6
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