Lectures: | MWF 4:10-5:00pm, 217 ART (Anne Schilling) |
Discussion Sessions: | MAT 150A-B01, CRN 49326, T 6:10-7:00 PM in BAINER 1128
MAT 150A-B02, CRN 49327, T 9:00-9:50 AM in GIEDT 1006 |
Instructor: | Anne Schilling, MSB 3222, phone: 554-2326,
anne@math.ucdavis.edu
Office hours: Wednesdays 1-2pm, 5:10-6pm (when there are no department meetings) |
T.A.: | Nate Gallup, MSB 3217
npgallup@math.ucdavis.edu
Office hours: Tuesdays 5:10-6pm, 7:10-8pm, Thursdays 6:10-8pm |
Text: | I will mostly follow Michael Artin, Algebra, published by Pearson, second edition, 2011.
Another good reference is Dummit and Foote, Abstract Algebra, ISBN 0-471-36857-1. |
Pre-requisite: | MAT 67 |
Problem Sets: | There will be weekly homework assignments due on Fridays at the beginning of class.
You are encouraged to discuss the homework problems with other students. However, the homeworks that you hand in should reflect your own understanding of the material. You are NOT allowed to copy solutions from other students or other sources. If you need help with the problems, come to the discussion session and office hours! The best way to learn mathematics is by working with it yourself. No late homeworks will be accepted. A random selection of homework problems will be graded. |
Computing: | During class, I will illustrate some results using the open source computer algebra system Sage. When you follow the link, you can try it out yourself using Sage Online Notebook. Or you can sign up for a Class Account with the math department. Log into fuzzy.math.ucdavis.edu and type the command `sage` to launch a Sage session in the terminal. |
Exams: | There will be one Midterm on November 5 in class.
The Final exam will be Wednesday, December 17 at 3:30-5:30pm.
There will be no make-up exams! |
Grading: | The final grade will be based on:
Problem sets 30%, Midterms 30%, Final 40%.
Grades will be recorded on SmartSite. |
Web: | http://www.math.ucdavis.edu/~anne/FQ2014/150A.html |
Bed Time Reading: | If you would like some bedtime reading related to math, I can recommend two really good books by Simon Singh: "Fermat's Last Theorem" and "The Code Book". Also, Ed Frenkel's book "Love and Math" is worth a read! |