Difference between revisions of "Course outline"

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== Logistics ==
<rst>
'''Instructor''':  Kevin Dunn, [mailto:dunnkg@mcmaster.ca?Subject=3E4%20course dunnkg@mcmaster.ca]
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'''Teaching assistants''': Ali Sahlodin ([mailto:sahlodam@mcmaster.ca?Subject=3E4%20course&cc=dunnkg@mcmaster.ca sahlodam@mcmaster.ca]) and Elliott Cameron ([mailto:cameroet@mcmaster.ca?Subject=3E4%20course&cc=dunnkg@mcmaster.ca cameroet@mcmaster.ca]), Room JHE-370, (905) 525 9140 x 22008.
Logistics
=========


'''Class time and location''': Room 125 in building T13 (between the McMaster hospital and the new engineering building). Every Monday, Wednesday, and Thursday, from  17:30 to 18:30.
Instructor
Kevin Dunn, `kevin.dunn@mcmaster.ca <mailto:kevin.dunn@mcmaster.ca?Subject=3E4%20course>`_.


== About the course ==
Teaching assistants
Ali Sahlodin `sahlodam@mcmaster.ca <mailto:sahlodam@mcmaster.ca?Subject=3E4%20course&cc=dunnkg@mcmaster.ca>`_ and Elliott Cameron `cameroet@mcmaster.ca <mailto:cameroet@mcmaster.ca?Subject=3E4%20course&cc=dunnkg@mcmaster.ca>`_, both are available in room JHE-370, (905) 525 9140 x 22008.


'''Official description''': Formulation of models for various chemical processing units in the steady and unsteady states. Techniques for numerical solution of model equations, including algebraic and ordinary differential equations, both linear and non-linear.
Class time and location
Room 125 in building T13 (between the McMaster hospital and the new engineering building). Every Monday, Wednesday, and Thursday, from  17:30 to 18:30.


'''Objectives''': Given a verbal statement of a problem involving specific chemical processes, this course will provide the student with the ability to: (i) formulate a mathematical model in terms of algebraic or differential equations; (ii) propose an appropriate numerical method; and (iii) find a solution using software tools.
Lab/tutorial time and location
Will be confirmed in class.


'''Prerequisites''':  Minimum grade of D- in <tt>CHE 2F04</tt>, taken <tt>Math 2M06</tt>, or permission of the Department.
About the course
=================


'''Course materials''': All course materials will be available from the course website: http://modelling3e4.connectmv.com
Official description
Formulation of models for various chemical processing units in both steady and unsteady states. Techniques for numerical solution of model equations, including algebraic and ordinary differential equations, both linear and non-linear.


All course announcements, assignments and solutions will be available from there.  Course hand outs will be posted to the site prior to the next class.  It is your responsibility to print out the class notes and bring them to the class.
Objectives
Given a verbal statement of a problem involving a specific chemical processes, this course will provide the student with the ability to: (i) formulate a mathematical model in terms of algebraic or differential equations; (ii) propose an appropriate numerical method; and (iii) find a solution using calculator and software tools.


'''Required textbook''': S. C. Chapra and R. P. Canale, ''Numerical Methods for Engineers'', McGraw Hill, 5th or 6th Edition (available on reserve in Thode)
Prerequisites
Minimum grade of D- in **CHE 2F04**, taken **Math 2M06**, or permission of the Department.


Feel free to buy either the 5th or 6th edition - there is no particular benefit to owning the newer edition.  Generally the book is cheaper on Amazon.ca than the McMaster bookstore.  And [http://en.wikipedia.org/wiki/Special:BookSources/0073401064#Booksellers second-hand copies of the book] are much cheaper. Also see this [http://www.sellmytextbooks.org/members/17/index.cfm?index=UBCSEARCH&isbn=007310156 list of second-hand sellers]
Course materials
All course materials will be available from the course website: http://modelling3e4.connectmv.com


'''Recommended readings'''
All course announcements, assignments and solutions will be posted on the website. Course hand outs will be made available on the site prior to the next class. It is your responsibility to print out the class notes and bring them to the class.
* K. Hangos and I. T. Cameron, ''Process Modeling and Model Analysis'', Academic Press, 2001. (available on course website)
* G. Recktenwald, ''Numerical Methods with MATLAB - Implementation and Application'', Prentice Hall, 2000. (available on reserve)
* D. M. Etter, ''Engineering Problem Solving with MATLAB'', Prentice Hall, 1993. (available on reserve)


Also see [[Suggested readings | suggested readings]] to supplement the above texts.
Required textbook
The book by S. C. Chapra and R. P. Canale, *Numerical Methods for Engineers*, McGraw Hill, 5th or 6th Edition (5th edition on reserve in Thode).
5th edition ISBN = ``0073101567`` and 6th edition ISBN = ``0073401064``.


Feel free to buy either the 5th or 6th edition - there is no particular benefit to owning the newer edition.  Generally the book is cheaper on Amazon.ca than the McMaster bookstore.  And `second-hand copies of the book <http://en.wikipedia.org/wiki/Special:BookSources/0073401064#Booksellers>`_ are much cheaper. Also see this `list of second-hand sellers <http://www.sellmytextbooks.org/members/17/index.cfm?index=UBCSEARCH&isbn=007310156>`_.


'''Course outline'''
Recommended readings
Other readings to supplement the main text book:


The course is divided into 6 main sections, taught over 12 weeks, 3 hours per week.
* Hangos and Cameron, *Process Modeling and Model Analysis*, Academic Press, 2001.
* Recktenwald, *Numerical Methods with MATLAB - Implementation and Application*, Prentice Hall, 2000 (available on reserve).
* Etter, *Engineering Problem Solving with MATLAB*, Prentice Hall, 1993 (available on reserve).


# Modeling and scientific computing
Also see the other `suggested reading list <http://modelling3e4.connectmv.com/wiki/Suggested_readings>`_ to supplement the above texts.
# Linear algebraic equations
# Nonlinear algebraic equations
# Curve fitting
# Numerical differentiation and integration
# Ordinary differential equations


Several enrichment topics may be covered throughout the course.


== Grading ==
Course outline
The course is divided into 6 main sections, taught over 12 weeks, 3 classes per week.
 
#. Modeling and scientific computing
#. Linear algebraic equations
#. Nonlinear algebraic equations
#. Curve fitting
#. Numerical differentiation and integration
#. Ordinary differential equations
 
Additional enrichment topics will be covered throughout the course.
 
Grading
=======


To assess your understanding of the course materials, the grading for the course is broken down as:
To assess your understanding of the course materials, the grading for the course is broken down as:
{| class="wikitable sortable"
|-
! Component
! Fraction
! Notes
|-
| Tutorials
| 10%
| Expect around 10 tutorial sessions: must be handed in on the day of the tutorial
|-
| Assignments
| 20%
| Expect 6 assignments; can be completed individually, or in groups of 4 or less
|-
| rowspan="2" | Midterm test
| 10%: take-home portion
| The take-home portion requires use of the course software
|-
| 15%: in-class portion
| A written test, lasting 3 hours
|-
| Final exam
| 45%
| A written exam, lasting 3 hours
|-
| '''Maximum grade'''
| 100%
|
|}


.. csv-table::
  :header: "Component", "Fraction", "Notes"
  :widths: 15, 10, 30


'''Policies regarding grading'''
"Tutorials", "10%", "Expect around 10 tutorial sessions: must be handed in on the day of the tutorial"
"Assignments", "20%", "Expect 6 assignments; can be completed individually, or in groups of 3 or less"
"Midterm", "10%", "Take-home portion"
"Midterm", "15%", "A written test, lasting 2 to 3 hours"
"Final exam", "45%", "A written exam, lasting 3 hours"
 
.. rubric:: Policies regarding grading


* Grading of assignments and tests will include contributions for clarity and organization of presentation.
* Grading of assignments and tests will include contributions for clarity and organization of presentation.
* No make-ups will be given for tutorials or assignments.
* No make-ups will be given for tutorials or assignments.
* No make-ups will be given for tests. If due to some legitimate reason (in case of medical issues, please provide a medical certificate) the student cannot participate in a test '''and''' provides a missed-work form, the contribution of that test to his/her overall grade will be added to the final examination weighting; for unexcused absences, a zero grade will be given.
* No make-ups will be given for tests. If due to some legitimate reason (in case of medical issues, please provide a medical certificate) the student cannot participate in a test **and** provides a missed-work form, the contribution of that test to his/her overall grade will be added to the final examination weighting; for unexcused absences, a zero grade will be given.
* Attendance at tutorials is ''not required'', but you must submit your tutorial question(s) at the tutorial, in written/printed form to receive the grade.  The TA's will not accept electronic submissions, since their marking is done on paper copies.  
* Attendance at tutorials is *not required*, but you must submit your tutorial question(s) at the tutorial, in written/printed form to receive the grade.  The TA's will not accept electronic submissions, since their marking is done on paper copies.
* Tutorials may be done by yourself with *one* other person.
* All assignments will be graded, and the best 5 of the 6 assignments used to calculate the assignment grade.
* All assignments will be graded, and the best 5 of the 6 assignments used to calculate the assignment grade.
* This is a large class of over 90 students, so late hand-ins interfere with the TA’s ability to efficiently grade your assignments.  Late assignments will be penalized by 20% (one day) and 40% (two days).  Solutions will be posted to the course site within in 2 days, so no further late submissions can be accepted.
* This is a large class of over 90 students, so late hand-ins interfere with the TA’s ability to efficiently grade your assignments.  Late assignments will be penalized by 20% (one day) and 40% (two days).  Solutions will be posted to the course site within in 2 days, so no further late submissions can be accepted.
* Emergencies and such arise, so each person has 2 “late day” credits for the assignments.
* Emergencies and such arise, so each person has 2 late day credits for the assignments.
* Any textbook(s) and course notes will be allowed during tests and exams.   
* Any textbook(s) and course notes will be allowed during tests and exams.   
* Any calculator may be used during the tests and exams. Cellular phones, or any other form of communication will not permitted.
* Any calculator may be used during the tests and exams.  
* The final percentage grades will be converted to letter grades using the Registrar's recommended procedure.  
* The final percentage grades will be converted to letter grades using the Registrar's recommended procedure.  
* Adjustment to the final grades may be done at the discretion of the instructor.
* Adjustment to the final grades may be done at the discretion of the instructor.
* We encourage you to complete the assignments in groups of no more than 4 participants.  
* We encourage you to complete the assignments in groups of no more than 3 participants.  
* You, and your group, will receive the greatest benefit if you each do '''all''' the questions yourselves.  Then arrange to meet and review your solutions, discussing the various approaches.  Create a single, final submission from the group contributions.
* You, and your group, will receive the greatest benefit if you each do **all** the questions yourselves.  Arrange to meet and review your solutions, discussing various approaches.  Assemble a single submission for the group.
* You are defeating the purpose of the group-based assignment if you simply divide the assignment into sections, one for each group member.  This is definitely not recommended, because you are loosing out on the learning opportunity of seeing your mistakes and the group members' mistakes, and learning from them.
* You are defeating the purpose of the group-based assignment if you simply divide the assignment into sections, one for each group member.  This is definitely not recommended, because you are loosing out on the learning opportunity of seeing your mistakes and the group members' mistakes, and learning from them.
* No sharing of work may be done between groups - this will be strictly enforced.  Please ensure that you have read the University’s academic integrity policy (reproduced below).
* No sharing of work may be done between groups - this will be strictly enforced.  Please ensure that you have read the University’s academic integrity policy (reproduced below).
* There is a heavy focus on group work (40% of the course grade).  Please use this opportunity to your advantage to learn from, and with each other.   
* There is a heavy focus on group work (40% of the course grade).  Please use this opportunity to your advantage to learn from, and with each other.   
* All group submissions must clearly show the names of the group participants.  You must hand in one assignment for the group. The TAs will not grade loose sheets handed in after the first submission, and there will be a corresponding reduction in marks.
* All group submissions must clearly show the names of the group participants.  You must hand in one assignment for the group. The TAs will not grade loose sheets handed in after the first submission, and there will be a corresponding reduction in marks.
* The take-home test will examine course content that requires a computer to complete the questions. The engineering labs have the course software installed in the event that you do not have access to a computer.
* The take-home test will examine course content that requires a computer to complete the questions. The engineering labs have the course software installed, in the event that you do not have access to a computer.


== Important notes ==
Important notes
================


'''Class participation''': Please bring a calculator to every class and every tutorial.  
Class participation
Please bring a calculator to every class and every tutorial.  


'''Course software''': Use of a computer is required for the course.  Both the MATLAB and Python programming language will be used, however you can use any suitable software to solve the course assignments, tutorials and tests.
Course software
Use of a computer is required for the course.  Both the MATLAB and Python programming language will be used, however you can use any suitable software to solve the course assignments, tutorials and tests.  More details are posted on the course website.


'''Out-of-class access''': Since the course instructor does not have an office on campus, office hours will be during the lab time slots, or arranged by appointment.
Out-of-class access
Since the course instructor does not have an office on campus, office hours will be during the lab time slots, or arranged by appointment.


The two excellent TA's for this course can be contacted by email - please see the course website for their addresses. Please, only send email from your McMaster email address - we cannot respond to personal email addresses.
The two excellent TA's for this course can be contacted by email - please see their addresses above. Please, only send email from your McMaster email address - we cannot respond to personal email addresses.


'''Disclaimer''': The above outline may be modified slightly, as circumstances change, with agreement from the class.
Disclaimer
The above outline may be modified slightly, as circumstances change, with agreement from the class.


== Academic Integrity ==
Academic integrity
===================


You are expected to exhibit honesty and use ethical behaviour in all aspects of the learning process.  Academic credentials you earn are rooted in principles of honesty and academic integrity.  
You are expected to exhibit honesty and use ethical behaviour in all aspects of the learning process.  Academic credentials you earn are rooted in principles of honesty and academic integrity.  
Line 116: Line 125:
Academic dishonesty is to knowingly act or fail to act in a way that results or could result in unearned academic credit or advantage.  This behaviour can result in serious consequences, e.g. the grade of zero on an assignment, loss of credit with a notation on the transcript (notation reads: “Grade of F assigned for academic dishonesty”), and/or suspension or expulsion from the university.  
Academic dishonesty is to knowingly act or fail to act in a way that results or could result in unearned academic credit or advantage.  This behaviour can result in serious consequences, e.g. the grade of zero on an assignment, loss of credit with a notation on the transcript (notation reads: “Grade of F assigned for academic dishonesty”), and/or suspension or expulsion from the university.  
   
   
It is your responsibility to understand what constitutes academic dishonesty.  For information on the various types of academic dishonesty please refer to the Academic Integrity Policy, located at  
It is your responsibility to understand what constitutes academic dishonesty.  For information on the various types of academic dishonesty please refer to the Academic Integrity Policy, located at http://www.mcmaster.ca/academicintegrity  
http://www.mcmaster.ca/academicintegrity  
   
   
The following illustrates only three forms of academic dishonesty:  
The following illustrates only three forms of academic dishonesty:  
 
# Plagiarism, e.g. the submission of work that is not one’s own or for which other credit has been obtained.   
#. Plagiarism, e.g. the submission of work that is not one’s own or for which other credit has been obtained.   
# Improper collaboration in group work.   
#. Improper collaboration in group work.   
# Copying or using unauthorized aids in tests and examinations.
#. Copying or using unauthorized aids in tests and examinations.
 
</rst>

Latest revision as of 21:31, 7 February 2017

<rst> <rst-options: 'toc' = False/> <rst-options: 'reset-figures' = False/>

Logistics

=

Instructor Kevin Dunn, `kevin.dunn@mcmaster.ca <mailto:kevin.dunn@mcmaster.ca?Subject=3E4%20course>`_.

Teaching assistants Ali Sahlodin `sahlodam@mcmaster.ca <mailto:sahlodam@mcmaster.ca?Subject=3E4%20course&cc=dunnkg@mcmaster.ca>`_ and Elliott Cameron `cameroet@mcmaster.ca <mailto:cameroet@mcmaster.ca?Subject=3E4%20course&cc=dunnkg@mcmaster.ca>`_, both are available in room JHE-370, (905) 525 9140 x 22008.

Class time and location Room 125 in building T13 (between the McMaster hospital and the new engineering building). Every Monday, Wednesday, and Thursday, from 17:30 to 18:30.

Lab/tutorial time and location Will be confirmed in class.

About the course

=====

Official description Formulation of models for various chemical processing units in both steady and unsteady states. Techniques for numerical solution of model equations, including algebraic and ordinary differential equations, both linear and non-linear.

Objectives Given a verbal statement of a problem involving a specific chemical processes, this course will provide the student with the ability to: (i) formulate a mathematical model in terms of algebraic or differential equations; (ii) propose an appropriate numerical method; and (iii) find a solution using calculator and software tools.

Prerequisites Minimum grade of D- in **CHE 2F04**, taken **Math 2M06**, or permission of the Department.

Course materials All course materials will be available from the course website: http://modelling3e4.connectmv.com

All course announcements, assignments and solutions will be posted on the website. Course hand outs will be made available on the site prior to the next class. It is your responsibility to print out the class notes and bring them to the class.

Required textbook The book by S. C. Chapra and R. P. Canale, *Numerical Methods for Engineers*, McGraw Hill, 5th or 6th Edition (5th edition on reserve in Thode).

5th edition ISBN = ``0073101567`` and 6th edition ISBN = ``0073401064``.

Feel free to buy either the 5th or 6th edition - there is no particular benefit to owning the newer edition. Generally the book is cheaper on Amazon.ca than the McMaster bookstore. And `second-hand copies of the book <http://en.wikipedia.org/wiki/Special:BookSources/0073401064#Booksellers>`_ are much cheaper. Also see this `list of second-hand sellers <http://www.sellmytextbooks.org/members/17/index.cfm?index=UBCSEARCH&isbn=007310156>`_.

Recommended readings Other readings to supplement the main text book:

* Hangos and Cameron, *Process Modeling and Model Analysis*, Academic Press, 2001. * Recktenwald, *Numerical Methods with MATLAB - Implementation and Application*, Prentice Hall, 2000 (available on reserve). * Etter, *Engineering Problem Solving with MATLAB*, Prentice Hall, 1993 (available on reserve).

Also see the other `suggested reading list <http://modelling3e4.connectmv.com/wiki/Suggested_readings>`_ to supplement the above texts.


Course outline The course is divided into 6 main sections, taught over 12 weeks, 3 classes per week.

#. Modeling and scientific computing #. Linear algebraic equations #. Nonlinear algebraic equations #. Curve fitting #. Numerical differentiation and integration #. Ordinary differential equations

Additional enrichment topics will be covered throughout the course.

Grading

=

To assess your understanding of the course materials, the grading for the course is broken down as:

.. csv-table::

  :header: "Component", "Fraction", "Notes"
  :widths: 15, 10, 30

"Tutorials", "10%", "Expect around 10 tutorial sessions: must be handed in on the day of the tutorial" "Assignments", "20%", "Expect 6 assignments; can be completed individually, or in groups of 3 or less" "Midterm", "10%", "Take-home portion" "Midterm", "15%", "A written test, lasting 2 to 3 hours" "Final exam", "45%", "A written exam, lasting 3 hours"

.. rubric:: Policies regarding grading

  • Grading of assignments and tests will include contributions for clarity and organization of presentation.
  • No make-ups will be given for tutorials or assignments.
  • No make-ups will be given for tests. If due to some legitimate reason (in case of medical issues, please provide a medical certificate) the student cannot participate in a test **and** provides a missed-work form, the contribution of that test to his/her overall grade will be added to the final examination weighting; for unexcused absences, a zero grade will be given.
  • Attendance at tutorials is *not required*, but you must submit your tutorial question(s) at the tutorial, in written/printed form to receive the grade. The TA's will not accept electronic submissions, since their marking is done on paper copies.
  • Tutorials may be done by yourself with *one* other person.
  • All assignments will be graded, and the best 5 of the 6 assignments used to calculate the assignment grade.
  • This is a large class of over 90 students, so late hand-ins interfere with the TA’s ability to efficiently grade your assignments. Late assignments will be penalized by 20% (one day) and 40% (two days). Solutions will be posted to the course site within in 2 days, so no further late submissions can be accepted.
  • Emergencies and such arise, so each person has 2 late day credits for the assignments.
  • Any textbook(s) and course notes will be allowed during tests and exams.
  • Any calculator may be used during the tests and exams.
  • The final percentage grades will be converted to letter grades using the Registrar's recommended procedure.
  • Adjustment to the final grades may be done at the discretion of the instructor.
  • We encourage you to complete the assignments in groups of no more than 3 participants.
  • You, and your group, will receive the greatest benefit if you each do **all** the questions yourselves. Arrange to meet and review your solutions, discussing various approaches. Assemble a single submission for the group.
  • You are defeating the purpose of the group-based assignment if you simply divide the assignment into sections, one for each group member. This is definitely not recommended, because you are loosing out on the learning opportunity of seeing your mistakes and the group members' mistakes, and learning from them.
  • No sharing of work may be done between groups - this will be strictly enforced. Please ensure that you have read the University’s academic integrity policy (reproduced below).
  • There is a heavy focus on group work (40% of the course grade). Please use this opportunity to your advantage to learn from, and with each other.
  • All group submissions must clearly show the names of the group participants. You must hand in one assignment for the group. The TAs will not grade loose sheets handed in after the first submission, and there will be a corresponding reduction in marks.
  • The take-home test will examine course content that requires a computer to complete the questions. The engineering labs have the course software installed, in the event that you do not have access to a computer.

Important notes

====

Class participation Please bring a calculator to every class and every tutorial.

Course software Use of a computer is required for the course. Both the MATLAB and Python programming language will be used, however you can use any suitable software to solve the course assignments, tutorials and tests. More details are posted on the course website.

Out-of-class access Since the course instructor does not have an office on campus, office hours will be during the lab time slots, or arranged by appointment.

The two excellent TA's for this course can be contacted by email - please see their addresses above. Please, only send email from your McMaster email address - we cannot respond to personal email addresses.

Disclaimer The above outline may be modified slightly, as circumstances change, with agreement from the class.

Academic integrity

=======

You are expected to exhibit honesty and use ethical behaviour in all aspects of the learning process. Academic credentials you earn are rooted in principles of honesty and academic integrity.

Academic dishonesty is to knowingly act or fail to act in a way that results or could result in unearned academic credit or advantage. This behaviour can result in serious consequences, e.g. the grade of zero on an assignment, loss of credit with a notation on the transcript (notation reads: “Grade of F assigned for academic dishonesty”), and/or suspension or expulsion from the university.

It is your responsibility to understand what constitutes academic dishonesty. For information on the various types of academic dishonesty please refer to the Academic Integrity Policy, located at http://www.mcmaster.ca/academicintegrity

The following illustrates only three forms of academic dishonesty:

  1. . Plagiarism, e.g. the submission of work that is not one’s own or for which other credit has been obtained.
  2. . Improper collaboration in group work.
  3. . Copying or using unauthorized aids in tests and examinations.

</rst>