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Calculus for Business and Life Sciences (Hybrid) Math 1743 Presented by Professor Ernest Gobert

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Page 1: Calculus for Business and Life Sciences (Hybrid) Math 1743 · Calculus for Business and Life Sciences (Hybrid) Math 1743 Why was this course created and how I ended up teaching it

Calculus for Business and Life Sciences

(Hybrid)

Math 1743

Presented by Professor Ernest Gobert

Page 2: Calculus for Business and Life Sciences (Hybrid) Math 1743 · Calculus for Business and Life Sciences (Hybrid) Math 1743 Why was this course created and how I ended up teaching it

Calculus for Business and Life Sciences (Hybrid)

Math 1743

Why was this course created and how I ended up teaching it

OCCC faculty were encouraged to look into this new course format

We could teach two courses for the time and space of a traditional course, given the

enrollment number at that time

Many of our Business Calculus students were/are from OU

Gas price was at an all-time high for commuting students

I volunteered to look into this new format being the course coordinator of

Business Calculus 1 and 2 and have been the main faculty teaching it ever since

Page 3: Calculus for Business and Life Sciences (Hybrid) Math 1743 · Calculus for Business and Life Sciences (Hybrid) Math 1743 Why was this course created and how I ended up teaching it

Calculus for Business and Life Sciences (Hybrid)

Coursework flow

In-class lecture

then assigned

readings of

online notes

and textbook

Students

attempt

homework

activities

In-class

discussion of

previous

homework

activities.

Students

complete/submit

homework

Examination

Page 4: Calculus for Business and Life Sciences (Hybrid) Math 1743 · Calculus for Business and Life Sciences (Hybrid) Math 1743 Why was this course created and how I ended up teaching it

Student Statistics Study Guide

Calculus for Business & Life Sciences

Student Study Guide

Oklahoma City Community College

Professors Daniel Bakewell & Ernest Gobert

42: Multivariable Optimization - the Algebraic Method:

Given a 2-variable function f(x,y), its graph typically is a 3D surface like the one below:

It is fairly straightforward to locate graphically the approximate locations of local

maximum/minimum points and even saddle points. However, when it is necessary to find the

exact locations of those points, at our math level, we have no other options but to compute

these points algebraically.

Computing Critical Points of a 3D Function f(x,y):

Remark:

Given a function f(x,y), we say a point 𝑥1,𝑦1 is a critical point of this function, if either of

the two conditions below are true:

1. 𝑓𝑥 𝑥1,𝑦1 = 𝑓𝑦 𝑥1, 𝑦1 = 0 (both partial derivatives of f(x,y) are zero at this point)

2. Either 𝑓𝑥(𝑥1,𝑦1) or 𝑓𝑦(𝑥1,𝑦1) is undefined (we do not really encounter this type of

critical points in this course)

Page 5: Calculus for Business and Life Sciences (Hybrid) Math 1743 · Calculus for Business and Life Sciences (Hybrid) Math 1743 Why was this course created and how I ended up teaching it

My hybrid course compared to my same course in other formats

0.71

0.84

0.74

0.59

0.71

0.580.52

0.9

0.83

0.610.64

0.5

0

0.1

0.2

0.3

0.4

0.5

0.6

0.7

0.8

0.9

1

SP13 SU13 SU14 SP15 F15 F16

success proportion - hybrid course success proportion - other formats

Page 6: Calculus for Business and Life Sciences (Hybrid) Math 1743 · Calculus for Business and Life Sciences (Hybrid) Math 1743 Why was this course created and how I ended up teaching it

Observations:

How self-motivated a student is plays a crucial roll in his/her academic outcome in

this course format

Students enjoy the flexibility of class schedule

Faculty has to do a great job making sure students will learn on their own outside of

classroom

Timely communication through email and phone is absolutely essential

Faculty must communicate to students on first day of class what is expected of them

and that students will be held to that standard

Faculty must invest in developing a full set of course notes and must make sure that

students do utilize it.