MATH 31 - First Day Handout

Calculus II - Fall 2024


General information


Time and place:    T Th 9:35 - 10:50 am, Davidson
Instructor:             Lenny Fukshansky
Office:                    Adams 218
Phone:                   (909) 607 - 0014
Email:                    lenny@cmc.edu
Office hours:         (tentatively) TTh 4:00 - 5:30 pm, or by appointment
Class webpage:    https://www1.cmc.edu/pages/faculty/lenny/classes/fall_2024/m31/fall_2024_m31.html

The class webpage is a good source for all class related information; in particular, homework assignments will be posted on the class webpage weekly. Please check it regularly.

Textbook: (Required) Calculus: Early Transcendentals (7th Edition), by Stewart (published by Cengage Learning).


Course description

A continuation of Mathematics 30. Topics to be covered include techniques and applications of integration, polar coordinates, improper integrals, introduction to differential equations, infinite series and power series representation of a function.

Prerequisite: Mathematics 30 or placement.


Material to be covered

The following chapters/sections of the textbook will be covered:

Chapter 6: Sections 6.1 - 6.5
Chapter 7: Sections 7.1 - 7.4, 7.7 - 7.8
Chapter 8: Sections 8.1 - 8.2
Chapter 9: Sections 9.3, 9.5
Chapter 10: Sections 10.3 - 10.4
Chapter 11: Sections 11.1 - 11.10

The particular week-by-week schedule of the course will correspond to the weekly homework assignments, which are displayed on the class webpage.


Teaching philosophy:

The main goal of this liberal arts GE course is to present the mathematical way of thinking, centering on rigorous logic and analytical reasoning. We will do this on the example of the classical material of Integral Calculus and Infinite Series, going back to the fundamental 17th century work of Isaac Newton and Gottfried Wilhelm Leibniz and its 19th century presentation by Augustin-Louis Cauchy and Karl Theodor Wilhelm Weierstrass, along with other important mathematicians. The approach we take will be largely theoretical, aiming to not only demonstrate computational methods, but also to understand what makes them work. While we will not be able to prove all the results presented, we will see some proofs and discuss the underlying logic behind the main concepts. In this way, this course will also serve as an introductory exposition of the art of mathematical proof, which may be different from a more computational approach to Calculus taken in many high school courses.


Expected effort and learning outcomes:

A serious effort is usually required in order to succeed in this class, including (but possibly not limited to) the following:

While the actual time needed to perform these tasks may depend on an individual student, you should plan for a serious time investment in this course with 2-3 hours at home for each hour in class, on average.

The main expected learning outcome for this class is developing an understanding of the mathematical reasoning and logic as demonstrated on the analytic theory of functions discussed during course of this class. More specifically, we will aim to develop basic familiarity with the following major topics:


Grading policy

Class attendance and homework completion are required parts of the course. Homework assignments will be regularly posted on the course webpage and collected in class on Thursdays. Late homework will not be accepted.

There will be two in-class midterm exams and the comprehensive final exam. Here is the exam schedule.

Midterm 1:        Thursday, October 10, in class
Midterm 2:        Thursday, November 7, in class
Final Exam:      Wednesday, December 11, 2:00 - 5:00 pm in Davidson
       

Make-up exams are generally not given; exceptions will be considered only in extraordinary circumstances, substantiated by accompanying documentation and should be discussed with the instructor as soon as possible.

The grade break-down will be as follows:
The grading scale used for this class will be:
I reserve the right to introduce a curve (up or down) at the end of the semester depending on the class's overall performance.


Additional resources

Tutoring help is available at the Murty Sunak Quantitative and Computing Lab (QCL): our designated QCL mentor is Ivan Kolesnikov. QCL is the centralized hub for support with all sorts of quantitative issues at CMC, including course mentoring, training workshops and senior thesis and research project assistance. QCL services are available by appointment and on a walk-in basis. Please consult the QCL website for more detailed information about the services provided:
 
https://www.cmc.edu/qcl


Class policies

The following are basic rules that all students should follow in order not to disturb the class.
The use of calculators, or any other electronic devices, as well as any books or notes, is prohibited during all tests.


Important dates



The instructor reserves the right to make changes to the class policies.