MATH 1320 Engineering Calculus II

Lectures - MTWF 10:45-11:35 LCB 215
Lab/discussion - Th 9:40-10:30 LCB 219 (sec 5) or Th 10:45-11:35 JTB 320 (sec 6)
Instructor - Dr. Tyler Skorczewski
Office - LCB 311
Office hours - MWF 9:30-10:30 and by appointment
Email - tskorc(at)math.utah.edu
Teaching Assistant - Olakunle Eso
Office - MEB 3305
Office hours - TW 1-2 in WEB 1622 and by appointment
Email - olakunle.eso@utah.edu
Class webpage - www.math.utah.edu/~tskorc/1320/1320.html
Book - Calculus: Concepts and Contexts 4th Edition, by James Stewart (ISBN-13: 978-0-495-55742-5)
Syllabus - 1320syllabus.pdf
Final Exam - Friday December 20, 10:30 - 12:30
Note : No classes on
Labor Day - September 2
Fall break - October 13-20
Thanksgiving break - November 28-29

Announcements

Prerequisites

1320 students are required to earn a "C" or better in 1310 to enroll, or they can alternatively be entered by earning a "C" or better in Math 1210 and by being concurrently enrolled in the MATH 1320 "boot camp" that covers the material in 1310 that is missing from the traditional 1210 sequence. Practically speaking, you are better prepared for this course if you have a solid understanding of differentiation, integration, trigonometry, and if your grades in the prerequisite courses were above the 'C' level.

Material covered

1320 Students will understand average behavior of a function, differential equations solutions through integration, exponential growth/decay, sequences and series and convergence tests, series approximation, power series, Taylor and Maclaurin series, Taylor's theorem, the three dimensional coordinate system, vectors, dot product, cross product, equations of planes and surfaces, vector functions and space curves, derivatives and integrals of vector functions, arc length, curvature, velocity and acceleration of parametrized curves, multivariate functions, multivariate limits, partial derivatives, tangent planes and linear approximations, multidimensional chain rule, directional derivative, gradient vector, minimum/maximum and optimization of multivariate functions, Lagrange multipliers. This material is covered by chapters 6-11 in the text. A tentative lecture schedule is posted here. This is subject to change.

Grading

Grading will be posted on the U of U Canvas website and based on performance on homeworks, computer assignments, midterm exams, and one final exam. The weighting for each is as follows:
Homeworks 10%
Labs (discussion and attendence) 20%
Quizzes10%
Midterm Exams35%
Final Exam25%

Exams

There will be two midterm exams and one final exam for this class. All exam scores will be counted (I will not drop a lowest score). The final exam is comprehensive and covers the entire course. Make-up exams will only be given for university excused absences and must be arranged in advance. The exam dates are given below. Plan accordingly. You will be required to show your student ID during the test.
Midterm 1 Friday October 4
Midterm 2 Friday November 15
Final Exam Friday December 20, 10:30 - 12:30

Quizzes

There will be weekly quizzes given on Fridays at the beginning/end of class. These quizzes will cover key concepts and techniques from the lectures and homework assigned that week. I will use the 10 best quiz scores when determining grades. (If for some reason we have less than 11 quizzes, I will drop the lowest one.) There will be no make up quizzes.

Homework

Homework will be assigned regularly to reinforce concepts from the lectures. I will drop the lowest score on the homeworks when calculating grades. Beyond their contributions to your course grades, the real value in carefully working the homework problems and in doing the projects is that mathematics (like anything) must be practiced and experienced to really be understood. Collaboration on homeworks is encouraged, but what you turn in must be your own work. Homework is due at the beginning of class on the due date. No late homework will be accepted. A good rule to adhere to is: "If your homework is important enough that you would be upset if it was not accepted, then it is important enough to turn in on time."

Lab/discussion sections

Every Thursday the teaching assistant (TA) will direct a lab section. In Lab, the TA will hand out problem worksheets and will facilitate student-led group work, as well as answer questions about the weekly material/book homework. The worksheets will provide guided practice with problems that highlight the use of calculus in physical and engineering applications. Credit will be given for both lab attendance and completed worksheets. I will drop the lowest score on the labs when calculating grades. Students should expect that worksheets will take additional time outside of lab to finish completely. The TA will be available for additional office hours the the College of Engineering tutoring lab in WEB 1622. Attendence for the lab section will be taken and is a part of the grade. However, students can attend either lab section.

Tutoring Center

The math department offers free drop-in tutoring for math department classes at the 1000 and 2000 level, as well as the following 3000 level classes: 3070-3080, 3150, 3160. The tutoring center is located in room 155 of the T. Benny Rushing Mathematics Center (adjacent to the LCB and JWB).

Students with Disabilities

The American with Disabilities Act requires that reasonable accommodations be provided for students with physical, sensory, cognitive, systemic, learning, and psychiatric disabilities. Any student with a certified disability who needs to arrange reasonable accommodations must contact University Disability Services (UDS) and me at the beginning of the semester to discuss any such accommodations for the course.

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