Difference between revisions of "MATH 102 - Differential Calculus with Applications to Life Sciences"

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==Course overview==
 
As with any course on differential calculus, the central character in this course is the derivative. The course starts by building up to the limit definition of the derivative and proceeds through analytical, graphical and numerical approaches to build students' understanding of several types of functions and their derivatives. Next, we cover optimization, with applications to biological systems as well as principles of data fitting. A section on growth, decay and periodic phenomena precedes an introduction to differential equations and their use in modeling of biological systems.
 
  
One big difference between this course and a more traditional calculus course is the inclusion of examples and applications from the life sciences in place of the more traditional emphasis on physics. These examples and applications come from a wide range of fields including biochemistry, cell biology, ecology, genetics, population biology and evolution.  
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== Please refer to Canvas for current information. ==
  
===General-reference links===
 
*[[Course policies|Course policies]] - outlining general course policies. For section-specific policies, see your section's web page (links below).
 
*[[Assignments|Assignments]] - some information on the assignments.
 
*[[Success strategies|Success strategies]] - advice for succeeding in this course.
 
*[[Getting help|Getting help]] - a list of learning resources associated with the course.
 
  
===Everyday links (see side-bar menu as well)===
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===Course overview===
*[[Announcements|Course-wide announcements]] - these course-wide announcements may also be included on your section-specific announcements page.
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{{:Course overview}}
*[[Course calendar|Course calendar]] - important dates (exams, holidays, etc.) and a day-by-day breakdown of the content to be covered.
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*[https://webwork.elearning.ubc.ca/webwork2/ WeBWork] - a link directly to the online homework system.
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*[[OSH]] - the OSH problems and due dates.
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*[[Piazza]] - the online discussion forum for the course.
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*[[Course notes]] - a collection of pdf files written by Prof. Leah Keshet that serves as the course textbook.
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*[[Practice problems]] - exercises associated with the course notes, homework problems from previous years and other supplemental problems.
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===Section links===
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===Things not to miss===
*[[Section 101|Section 101]] - (MWF 10 am) Instructor: Eric Cytrynbaum
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Students often miss useful resources that we provide. In addition to the menu items to the left, below is a list of things that you should make sure to check out. Some of these are duplicates of menu item but provide a brief description.
*[[Section 102|Section 102]] - (MWF 8 am) Instructor: Jielin Zhu
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*[[Section 103|Section 103]] - (MWF 1 pm) Instructor: Dong Quan Nguyen
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*[[Section 104|Section 104]] - (MWF 1 pm) Instructor: Wes Maciejewski
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*[http://www.math.ubc.ca/~maxim/math102fall13.html Section 105] - (TTh 9:30 am) Instructor: Maxim Stykow
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*[[Section 106|Section 106]] - (MWF 9 am) Instructor: Leah Keshet
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*[{{:Piazza/link}} Piazza] is the online forum for Math 102. Sign up for a Piazza account through [https://connect.ubc.ca Connect].
[[Instructors only|Instructor site]] (requires login)
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*[http://www.math.ubc.ca/~MLC The Math Learning Centre] is a free tutoring service provided by graduate students in our department.
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*[[WeBWorK/FAQ|WeBWorK FAQ]] - a small but growing list of common pitfalls.
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*[[Supporting materials for computational WeBWorK problems|Spreadsheet help]]. Some WeBWorK problems require a spreadsheet. This page has video tutorials that will help you learn how to use a spreadsheet effectively.
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*[[Videos and demos]] - a collection of videos and Desmos apps that help illustrate important concepts.
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*[[Practice problems]] - a somewhat random collection of problems, in case the regular WeBWorK, "Extra practice" WeBWorK, OSH and problems at the back of each chapter in the course notes leaves you wanting more practice.
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*[http://www.ugrad.math.ubc.ca/coursedoc/math102/prevyears.html Material from previous years] including a collection of [http://www.ugrad.math.ubc.ca/coursedoc/math100/demos/index.html Java applets]
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===Some "Why math?" links===
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*[http://weusemath.org/ We Use Math]
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-->
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*[[Sustainability]] and MATH 102.
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<!-- Number of views as of Sept 6, 2016: 292,094 -->

Latest revision as of 14:35, 8 September 2018

Please refer to Canvas for current information.

Course overview

As with any course on differential calculus, the central character in this course is the derivative. The course starts by building up to the limit definition of the derivative and proceeds through analytical, graphical and numerical approaches to build students' understanding of several types of functions and their derivatives. Next, we cover optimization, with applications to biological systems as well as principles of data fitting. A section on growth, decay and periodic phenomena precedes an introduction to differential equations and their use in modeling of biological systems.

One big difference between this course and a more traditional calculus course is the inclusion of examples and applications from the life sciences in place of the more traditional emphasis on physics. These examples and applications come from a wide range of fields including biochemistry, cell biology, ecology, genetics, population biology and evolution.

You should have taken a calculus course already if you are enrolled in this course. If you have never taken a calculus course, you should talk to your advisor at the beginning of the year about transferring to Math 180, 184, or 110.

Things not to miss

Students often miss useful resources that we provide. In addition to the menu items to the left, below is a list of things that you should make sure to check out. Some of these are duplicates of menu item but provide a brief description.

  • Piazza is the online forum for Math 102. Sign up for a Piazza account through Connect.
  • The Math Learning Centre is a free tutoring service provided by graduate students in our department.
  • WeBWorK FAQ - a small but growing list of common pitfalls.
  • Spreadsheet help. Some WeBWorK problems require a spreadsheet. This page has video tutorials that will help you learn how to use a spreadsheet effectively.
  • Videos and demos - a collection of videos and Desmos apps that help illustrate important concepts.
  • Practice problems - a somewhat random collection of problems, in case the regular WeBWorK, "Extra practice" WeBWorK, OSH and problems at the back of each chapter in the course notes leaves you wanting more practice.
  • Sustainability and MATH 102.