MATH 2E03: Introduction to Modelling
Fall 2005 Course Information

Contents:

Announcements:
  • Solution of Practice problem set 2 and 3 is available on the site

  • General Information
             Instructor
             Lectures (Lectures slides will be available on the web)
             Textbook
             Aims of the course
             Course content
             Computer Labs
             Evaluation
             Policy Reminders
     Assignments
             #Assignment 1
             #Assignment 2
             #Assignment 3
     Practice Problems

    Announcements:


     

  • Tutorial at the University of Florida
  •  

  • Tutorial at the University of Michigan
  •  

  • Tutorial at the University of MichiganTech
  •  

  • Tutorial at the University of University of New Hampshire

  • General Information:

    Instructor:

    Mani Mehra
    office: HH/403A, phone extension: 27364
    office hours: M, W, R: 14:30-15:30
    email: mmehra@math.mcmaster.ca
    home page: http://www.math.mcmaster.ca/~mmehra
     

    Lectures:

    M, W, R 13:30-14:20 in MDCL/1009
    Lecture#1 Lecture#2 Lecture#3 Lecture#4
    Lecture #5 (Introduction to matlab) is not available online, Lecture#6 Lecture#7 Lecture#8 Lecture #9 (Introduction to matlab) is not available online, Lecture#10 Lecture#11 Lecture#12 Lecture#13 Lecture#14 Lecture#15 Lecture#16 Lecture#17 Lecture#18 Lecture#19 Lecture#20 Lecture#21 Lecture#22 Lecture#23 Lecture#24 Lecture #25 (Method of Solving Differential Equations) is not available online, Lecture#26 Lecture#27 Lecture#28 Lecture#29 Lecture#30 Lecture#31 (could not happen due to fire alarm) Lecture#32 Lecture#33 Lecture#34

    Textbook :

    "Population Biology Concepts and Models", by Alan Hastings

    Optional Textbook: Any introductory book of matlab is very useful and strongly recommended.

    Aims of the course:

    Course content:

    Throughout the course we try to emphasize the steps in model building: identifying relevant variables, simplifying assumptions, methods for solving models, testing assumptions, etc. As well we will develop computer skills using MATLAB through assignment problems.

    The rough order of topics is:

    Computer Labs:

    There is no predefind lab hours but you have to use lab acording to your convience for solving assignments.

    Evaluation:

    There will be assignments, one midterm test and the final exam.

    Assignments:

    There will be a number of assignments worth, in total 25% of the final marks. Assignments will be announced in class. Late assignments are not acceptable. It is student's responsibility to submit clear legible matlab programme for the solution at email:manimeh@gmail.com. Matlab programme should be problemwise and title of the email should be "Solution to Assignment #"

    Midterm:

    There will be one test of 1 hour duration (from 1.30 p.m to 2.30 p.m) to be held on Wednesday, October 26. Topics to be covered will be till lecture 11. It will be in BSB 244. Questions will also be based on matlab programme.

    Solution of Midterm

    Marks for Midterm

    Final Exam:

    There will be a two hour exam held during the exam period in December scheduled by the Registrar's office and will cover material from the entire course. Occasionally, students have to miss test and exam because of a family
    matter or illness. In such cases, a student should contact the Science Faculty
    advisor  as soon as possible with the appropriate documentation. Only when your
    instructor is informed officially by the Faculty of Science will an exemption be
    given for a missed test.

    Final Mark:

    Assignments    25%
    Test    25%
    Final Exam    50%

    Policy Reminders:

    Assignments:

    Assignment 1: Assignment #1 Solution of assignment #1, Programme files for assignment #1

    Marks for assignment #1

    Assignment 2: Assignment #2

    Programme files for assignment #2

    Marks for assignment #2

    Assignment 3: Assignment #3

    Solution of assignment #3,

    Marks for assignment #3

    Practice Problems:

    Practice problems set 1: Practice problem set #1 Solution of practice problem set #1

    Practice problems set 2: Practice problem set #2

    Practice problems set 3: Practice problem set #3 Solution of practice problem set #2 and # 3