This course is offered through Coursera — you can add it to your Accredible profile to organize your learning, find others learning the same thing and to showcase evidence of your learning on your CV with Accredible's export features.
Course Date: 08 September 2014 to 08 December 2014 (13 weeks)
This course provides a brisk, challenging, and dynamic treatment of differential and integral calculus, with an emphasis on conceptual understanding and applications to the engineering, physical, and social sciences.
Robert Ghrist is the Andrea Mitchell University Professor of Mathematics and Electrical & Systems Engineering at the University of Pennsylvania. Prof. Ghrist is an applied mathematician whose expertise consists of finding novel applications for previously un-applied branches of Mathematics to Engineering Systems. Examples include applications of algebraic topology to sensor networks, sheaf theory to optimization and network data, CAT(0) geometry to robot motion planning, and braid theory to dynamical systems. His work has been honored by Scientific American as a "SciAm50 Top for Research Innovation" in 2007 and a Presidential Early Career Award for Scientists and Engineers (PECASE) in 2004. The S. Reid Warren, Jr. Award was granted to Prof. Ghrist by Penn students in 2009 for exceptional teaching. Prof. Ghrist is the 2013 recipient of the Chauvenet prize, the highest award for mathematical expository writing.
Calculus is one of the grandest achievements of human thought, explaining everything from planetary orbits to the optimal size of a city to the periodicity of a heartbeat. This brisk course covers the core ideas of single-variable Calculus with emphases
on conceptual understanding and applications. The course is ideal for students beginning in the engineering, physical, and social sciences. Distinguishing features of the course include:
the introduction and use of Taylor series and approximations from the beginning;
a novel synthesis of discrete and continuous forms of Calculus;
an emphasis on the conceptual over the computational; and
a clear, dynamic, unified approach.
THE SIGNATURE TRACK OPTION
Signature Track is an optional path you may choose for this course. By signing up and paying a nominal fee (financial aid can be provided), you can add a higher level of identity verification to your Coursera coursework. If you achieve the threshold score,
you have the opportunity to earn a Verified Certificate issued jointly by Penn and Coursera. For each assignment, your identity is confirmed through your photo and unique typing pattern. If you earn a Verified Certificate, you will also be given a
personal URL through which your course records can be shared with employers and educational institutions.
THE COLLEGE CREDIT RECOMMENDATION OPTION
This Calculus course has been evaluated and recommended by the American Council on Education’s College Credit Recommendation Service (ACE CREDIT) for college credit so you can get a head start on your college education. More than 2,000 higher education
institutions consider ACE credit recommendations for transfer to degree programs. If you add this option, towards the end of the course, you will take an online proctored exam which will be combined with your coursework to determine your eligibility
for college credit recommendation.
Click here for more information on ACE College Credit recommendation.
Will I get some kind of Statement of Accomplishment after completing this class?
Yes. Students who successfully complete the class will receive a Statement of Accomplishment signed by the instructor. If you sign up for the "Signature Track", then you have the opportunity to earn a verified Certificate.
What is the format of the class?
The class will consist of lecture videos, usually about fifteen minutes each. There will be homework problems that are not part of video lectures. There will be approximately seventy-five minutes worth of video content per week. The lectures are
fairly dense: you will want to budget enough time to allow for repeated viewings, especially when working through the homework assignments.
Will the text of the lectures be available?
We are building a detailed course wiki which mirrors the lectures closely; also, the videos will have subtitles. In other words, you do not need to take detailed notes of the lecture -- it's already
been done for you.
Is this a hard course?
Yes. Let me repeat: YES. This course is a faithful representation of the depth and difficulty of Penn's MATH 104, a course that many of our best students find to be a challenge. Calculus, like the rest of Mathematics, takes time and effort to master. If you are prepared
to work hard at the assignments, I'll work hard to explain the principles as clearly as possible.
Do I need a graphing calculator or special mathematical software?
No! This course will emphasize conceptual understanding and applications. All the computations should be done using a pencil, eraser, paper, and your brain, though not necessarily in that order of importance.
Does this course cover all of Calculus?
No. It will be assumed that you've seen some of the subject, at a high-school equivalent level (e.g., at the level of the Calculus AB exam). In addition, we will cover only single-variable calculus, not multi-variable.
How do I connect with this course on social media?
You can join Calculus: Single Variable's student community on Facebook, follow the course on Twitter, or add it on Google+ to connect with your fellow classmates outside of the discussion boards.
CHAPTER 1: Functions After a brief review of the basics, we will dive into Taylor series as a way of working with and approximating complicated functions. The chapter will use a series-based approach to understanding limits and asymptotics.
CHAPTER 2: Differentiation Though you already know how to differentiate some functions, you may not know what differentiation means. This chapter will emphasize conceptual understanding and applications of derivatives.
CHAPTER 3: Integration We will use the indefinite integral (an anti-derivative) as a motivation to look at differential equations in applications ranging from population models to linguistics to coupled oscillators. Techniques of integration up to and including computer-assisted
methods will lead to Riemann sums and the definite integral.
CHAPTER 4: Applications We will get busy in this chapter with applications of the definite integral to problems in geometry, physics, economics, biology, probability, and more. You will learn how to solve a wide array of problems using a consistent conceptual approach.
CHAPTER 5: Discretization Having covered Calculus for functions with a single real input and a single real output, we turn to functions with a discrete input and a real output: sequences. We will re-develop all of Calculus (limits, derivatives, integrals, differential equations)
in this new context, and return to the beginning of the course with a deeper consideration of Taylor series.
The class will consist of nearly 60 animated lecture videos, each about 15 minutes in length. The schedule will be approximately 5 quarter-hour lectures per week over 13 weeks. Occasional "bonus" lectures will provide more advanced or off-the-syllabus
perspectives. You will get to practice your skills with lots of homework problems. These will not count towards your grade for the course, but, because of this, there will be open forums for discussing how to solve the homework problems. Grading
will be based on graded chapter quizzes (5), and a final exam.
There is a fun picture-book available that gives the main ideas of the course: