Difference between revisions of "Pre-lecture videos"

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Revision as of 13:50, 1 September 2014

Date Video link Topic
Week 1 Sept 3 [1] Power functions.
[2] Cell size and nutrient balance: volume, area. Power functions.
Sept 5 [3] Power functions (cont). Sketching simple polynomials (y=x^3-ax). Example of graphing with spreadsheet.
Week 2 Sept 8 [4] Approximating a rational function near the origin.
[5] Approximating a rational function for large x. Introduction to Hill functions.
[6] Sketching Hill functions by hand and by Desmos ([ Demos demo]). Comparing Hill functions with different parameter values.
Sept 10 [7] Average rate of change and secant lines. Definition of the derivative. Instantaneous rate of change.
[8] Average rate of change and secant lines. Definition of the derivative. Instantaneous rate of change.
Sept 12 [9] Limits and continuity, examples. One example of computing derivative of $y=c t^2$ from the definition.
[10] Limits and continuity, examples. One example of computing derivative of $y=c t^2$ from the definition.
Week 3 Sept 15 [11] Derivatives: analytic, and geometric (zoom in on a point). Sketching $f'(x)$ given $f(x)$ (intro).
Sept 17 [12] Derivatives (cont): computational (spreadsheet example in class). More examples of sketching $f'(x)$ given $f(x)$ (intro).
Sept 19 [13] Rules of differentiation: Product and quotient rules. Antiderivatives of power functions. Application to falling ball, motion of Listeria. Sketching $f(x)$ given $f'(x)$ (intro).
[14] Rules of differentiation: Product and quotient rules. Antiderivatives of power functions. Application to falling ball, motion of Listeria. Sketching $f(x)$ given $f'(x)$ (intro).
[15] Rules of differentiation: Product and quotient rules. Antiderivatives of power functions. Application to falling ball, motion of Listeria. Sketching $f(x)$ given $f'(x)$ (intro).
Week 4 Sept 22 [16] Tangent lines and linear approximation.
[17] Tangent lines and linear approximation.
[18] Tangent lines and linear approximation.
Sept 24 NM1 Introduction to Newton’s method. Sketching the graph of a function using calculus tools: increasing, decreasing, critical points.
NM2 Introduction to Newton’s method. Sketching the graph of a function using calculus tools: increasing, decreasing, critical points.
NM3 Introduction to Newton’s method. Sketching the graph of a function using calculus tools: increasing, decreasing, critical points.
Sept 26 EC Sketching the graph of a function using calculus tools (cont): concavity and inflection points.
Week 5 Sept 29
Sept 30 MIDTERM 1: 6-7 pm
Oct 1 EC Finish sketching functions. Introduce simple optimization problem(s).
Oct 3 More optimization examples including those with a constraint and those on bounded intervals. Distinction between absolute (global) and local minima and maxima.
Week 6 Oct 6 [19] Kepler's Wedding - A wine optimization problem.
Oct 8 [20] Optimal Foraging.
Oct 10 EC Least Squares - finding the mean of a data set.
Week 7 Oct 13 THANKSGIVING - no classes.
Oct 15 EC Least Squares - finding the best fitting line y=ax through a set of data points.
Oct 17 [21](LEK),WM Chain Rule: examples, applications to optimization problems.
Week 8 Oct 20 WM More Chain Rule: Related Rates and Implicit differentiation.
Oct 22 [22] Exponential functions: intro and motivation, derivative of exponential functions.
Oct 22 [23] Exponential functions: intro and motivation, derivative of exponential functions.
Oct 24 WM Inverse functions and logarithm, applications of logs.
Week 9 Oct 27 [24] Exponential growth and decay, intro to differential equations, population growth and/or other examples.
[25] Exponential growth and decay, intro to differential equations, population growth and/or other examples.
[26] Exponential growth and decay, intro to differential equations, population growth and/or other examples.
Oct 29 [27] Solving differential equations of the type $dy/dt=a-by$.
Oct 29 [28] Solving differential equations of the type $dy/dt=a-by$.
Oct 31 LEK Newton's Law of Cooling (Murder Mystery example).
Week 10 Nov 3 Complete and/or review above topics.
Nov 4 MIDTERM 2: 6-7 pm
Nov 5 [29] Solving differential equations approximately using Euler's Method.
Nov 7 [30] Go over midterm. Introduction to nonlinear ODEs, qualitative analysis.
Week 11 Nov 10 [31] Geometry of change: (I) Slope fields, (II) State space .
[32] Geometry of change: (I) Slope fields, (II) State space .
Nov 11 Remembrance Day. University closed.
Nov 12 [33] The Logistic equation (state space and slope field).
[34] The Logistic equation (state space and slope field).
Nov 14 [35] Disease dynamics
[36] Disease dynamics
Week 12 Nov 17 Review of differential equations and/or complete above topics.
Nov 19 EC Introduction to Trigonometric Functions.
Nov 21 [37] (LEK),EC Trigonometric Functions and cyclic processes, phase, amplitude, etc. (fitting a sin or cos to a cyclic process), Inverse trig functions.
Week 13 Nov 24 WM Derivatives of trig functions, related rates examples.
Nov 26 [38] The Escape Response and trigonometric related rates.
Nov 28 Second order ODEs. Complete and/or review trig.
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