MATA 27 S (Introduction to Optimization ) Spring 2006

Course Description



.

Course Text

Introductory Mathematical Analysis, 11th edition, by Haeussler, Paul and Wood



Tutorials:


      In addition to attend lectures you must attend tutorials, where you will write a weekly quiz and practice problem solving. The quizzes will contain questions
         similar  to those found in the current posted assignment or may also be taken rleated current course material at your TA's discretion. Your TA will   grade     your quiz and return it. The lowest quiz score will  not count and there are no make-up quizzes in the tutorials. Quizzes begin in the third week of classes.


Assignment:

Practice assignments and solutions will be posted on the intranet each week. The assignments will not be graded and should not be handed in. The quizzes, tests and final examination will contain problems similar to those in assignemtns, the textbook and the lectures.

             



Calculator  policy:


      Only the following specific models will be permited;
  Texas Instruments TI-30, TI-34II Explorer PLus
Sharp EL531 Casio fx-65 fx-260

Additional letters after the calculator do not count in determining the model number of the calculator. E.g. EL-531 R is the same as EL-531, thus is allowed.




Grades will be computed according to the following percentages:

Weekly Graded Tutorial Quizzes  25% 
First Midterm  Test
15% 
Second Midterm Test
15%
Final  Exam
45% 


All relevant information will be posted on the intranet: intranet.utsc.utoronto.ca

It is strongly advised that you regularly visit the intranet site of the course for assignments, dates, announcements.


Other useful websites:

Math Aid center:   www.utsc.utoronto.ca/~data_interpretation

Website of the Fall courses: www.math.utsc.utoronto.ca/a27f














 
                 1:  Functions and Graphs (Sections 2.1-2.6, 4.1-4.4)
                                                                                2:  Mathematics if Finaince    (Sections 5.1-5.4)                                                                     
                                   3: Linear Inequalities and Linear programming (Section 7.1-7.3)
         4: Kimits and Continuity (Sections 10.1-10.4)
 5: Differentiation ( nSections 11.1-11.6)
                          6: Additional Differentiation Topics( Sections 12.1-12.7)
                7: Optimization and Graphing (Section 13.1-13.6)
                              8: Multivariable Calculus ( Sections 17.1-17.3, 17.5-17.8)