g - Graphing calculator may be required; TI-83, TI-83 Plus or TI-84 recommended
Course Data
MATH 241 + Dis >4
0.00 cr.
Introduction to topics in differential and integral calculus including some aspects of the calculus of several variables. Sequence. Students cannot receive credit for both MATH 241 and 251.
Grading Options:
Optional; see degree guide or catalog for degree requirements
Instructor:
Weinschelbaum I
Office:
M212 University Hall Phone:
(541) 346-4719
Process a complete drop (100% refund, no W recorded)
January 15:
Drop this course (100% refund, no W recorded)
January 15:
Process a complete drop (90% refund, no W recorded)
January 16:
Drop this course (75% refund, no W recorded; after this date, W's are recorded)
January 16:
Process a complete drop (75% refund, no W recorded; after this date, W's are recorded)
January 18:
Add this course
January 18:
Last day to change to or from audit
January 22:
Withdraw from this course (75% refund, W recorded)
January 29:
Withdraw from this course (50% refund, W recorded)
February 5:
Withdraw from this course (25% refund, W recorded)
February 26:
Withdraw from this course (0% refund, W recorded)
For information on last day to Change Grade Option or Change Variable credit: Dates & Deadlines calendar
You can't drop your last class using the "Add/Drop" menu in DuckWeb. Go to the “Completely Withdraw from Term/University” link to begin the complete withdrawal process. If you need assistance with a complete drop or a complete withdrawal, connect with an Academic Advisor. If you are attempting to completely withdraw after business hours, and have difficulty, please contact the an Academic Advisor the next business day.
Expanded Course Description
This is the first term of a calculus sequence for students in the business and social sciences. Students will learn techniques and applications of differential calculus.
The first term course covers rates of change of functions, derivatives of polynomial, rational, exponential, logarithm functions, and functions arising from these functions as building blocks, optimization, and graphing.
This course emphasizes modeling and applications to business and the social sciences. Applications include polynomial, exponential, and logarithmic models; polynomial regression; marginal cost, profit, and revenue; present and future values; optimization; marginal analysis; related rates of change; exponential growth and decay; graphing: concavity, convexity, and critical points.