MA 231 Course Syllabus

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1 MA 231 Course Syllabus MA 231 Calculus for Life and Management Sciences B Sections (hybrid) SPRING Credit Hours Course Description Functions of several variables - partial derivatives, optimization, least squares, Lagrange multiplier method; differential equations - population growth, finance and investment models, systems, numerical methods; MA 121 is not an accepted prerequisite for MA 231. Learning Outcomes After successfully completing this course, students will be able to: 1. Use the techniques of partial differentiation to explore the properties of a function of two or more variables 2. Set up and solve optimization problems in various contexts 3. Use least squares to fit linear and nonlinear functions to a given data set 4. Give examples of how and why different disciplines use differential equations and mathematical models 5. Create a mathematical model that describes a given problem from biology, economics, or business 6. Carry out numerical simulations and mathematical analyses of a model Course Structure This hybrid section of the course will consist of 2 contact hours of online videos and selfassessment and 1 contact hour in a face-to-face lecture. (Traditional sections of the course will consist of 3 contact hours of face-to-face lecture.) Instructors Molly Fenn (mafenn2) - Instructor mafenn2@ncsu.edu Web Page: Phone: Office Location: SAS 2108 Office Hours: Appointment calendar can be found at Course Meetings

2 Lecture Days: F Time: 10:40am - 11:30am Campus: Main Location: SAS 1102 This meeting is required. Course Materials Textbooks Calculus and Its Applications - Goldstein, Lay and Schneider Edition: 13th ISBN: Web Link: Goldstein/dp/ X/ref=dp_ob_title_bk Cost: $ This textbook is required. Expenses Materials Requisites and Restrictions Prerequisites MA 131 or MA 141 Co-requisites Restrictions Credit is not allowed for both MA 231 and MA 241. General Education Program (GEP) Information GEP Category Mathematical Sciences GEP Category Outcomes Each course in Mathematical Sciences will provide instruction and guidance that help students to: Objective 1. improve and refine mathematical problem-solving abilities; and Objective 2. develop logical reasoning skills.

3 How This Course Will Fulfill GEP Category Outcomes Learning outcomes 1 and 6 from above will lead to improvement and refinement of mathematical problem-solving abilities. Outcomes 2, 5, and 6 will help students development of logical reasoning skills. Course learning outcomes and GEP category outcomes will be assessed through online homework, class work, two midterm tests, and a comprehensive final exam. GEP Co-requisites This course does not fulfill a General Education Program co-requisite. Transportation This course will not require students to provide their own transportation. Nonscheduled class time for field trips or out-of-class activities is NOT required for this class. Safety & Risk Assumptions Grading Grade Components Component Weight Details Before Class Homework 15% Before class homework will be done through WebAssign. An assignment corresponding to the online lesson will be due each week before the weekly class meeting time. Class Work 15% Online Participation 5% Midterm Tests 40% During class students will be actively working with their peers on applying the concepts learned in the online lessons to more detailed problems. Many assignments will be done through WebAssign and some may be turned in on paper. Assignments will be due after the weekly class meeting. The online participation score is the percent of lessons submitted. It does not take into account how many selfcheck questions were answered correctly. There will be two 60 minute midterm tests.

4 Component Weight Details Final Exam 25% The comprehensive final exam will be 180 minutes. Letter Grades This Course uses Standard NCSU Letter Grading: 97 A A < A- < B+ < B < B- < C+ < C < C- < D+ < D < D- < 63 0 F < 60 Requirements for Credit-Only (S/U) Grading In order to receive a grade of S, students are required to take all exams and quizzes, complete all assignments, and earn a grade of C- or better. Conversion from letter grading to credit only (S/U) grading is subject to university deadlines. Refer to the Registration and Records calendar for deadlines related to grading. For more details refer to Requirements for Auditors (AU) Information about and requirements for auditing a course can be found at Policies on Incomplete Grades If an extended deadline is not authorized by the instructor or department, an unfinished incomplete grade will automatically change to an F after either (a) the end of the next regular semester in which the student is enrolled (not including summer sessions), or (b) the end of 12 months if the student is not enrolled, whichever is shorter. Incompletes that change to F will count as an attempted course on transcripts. The burden of fulfilling an incomplete grade is the responsibility of the

5 student. The university policy on incomplete grades is located at Late Assignments If a student has a University approved excused reason for turning in an assignment late, they will not be penalized if the assignment is turned in within one week of receiving the assignment (or another negotiated time). Students wishing to take advantage of this must contact their instructor. If the late assignment is unexcused, automatic extensions can be requested in WebAssign for a 24 hour period up to 5 days after an assignment is due with a 40% reduction in points earned during the extension period. Attendance Policy For complete attendance and excused absence policies, please see Attendance Policy Attendance at face-to-face class meetings is required. During this time, students will actively engage with the material, leading to a deeper understanding. Attendance will be taken during each class meeting. Absences Policy Students with a University approved excused absence will not be penalized. Students with more than 3 unexcused absences will fail the class. Makeup Work Policy Test Make-Up Policy: All anticipated absences must be excused in advance of the test date. These include university duties or trips (certified by an appropriate faculty or staff member), required court attendance (certified by the Clerk of Court), or religious observances (certified by the Department of Parent and Family Services ). Emergency absences must be reported as soon as possible once returning to class and must be appropriately documented (illness by an attending physician or family emergencies by Parent and Family Services). If you are sick on a test day and decide not to take the test, go to the health center or other medical facility. Students who miss a test and have a university approved excuse must submit appropriate documentation. Additional Excuses Policy Academic Integrity Academic Integrity

6 Students are required to comply with the university policy on academic integrity found in the Code of Student Conduct found at Both faculty and students at North Carolina State University have a responsibility to maintain academic integrity. An informational brochure about academic integrity is available from the university and students are encouraged to obtain a copy. Academic Honesty See for a detailed explanation of academic honesty. Cheating is the giving, taking, or presenting of information or material by a student that unethically or fraudulently aids oneself or another person on any work which is to be considered in the determination of a grade or the completion of academic requirements or the enhancement of that student's record or academic career. (NCSU Code of Student Conduct) Scholarly activity is marked by honesty, fairness and rigor. A scholar does not take credit for the work of others, does not take unfair advantage of others, and does not perform acts that frustrate the scholarly efforts of others. The violation of any of these principles is academic dishonesty. Penalties for a violation: For the first violation, you will receive a zero for your work and be put on academic integrity probation for the remainder of your stay at NCSU. The second violation may result in your suspension from NCSU. Both situations will involve the Office of Student Conduct. See the website for a full explanation: p Honor Pledge Your signature on any test or assignment indicates "I have neither given nor received unauthorized aid on this test or assignment." Electronically-Hosted Course Components Students may be required to disclose personally identifiable information to other students in the course, via electronic tools like or web-postings, where relevant to the course. Examples include online discussions of class topics, and posting of student coursework. All students are expected to respect the privacy of each other by not sharing or using such information outside the course.

7 Electronically-hosted Components: Class videos, notes, and other materials; homework assignments; forum discussions. Accommodations for Disabilities Reasonable accommodations will be made for students with verifiable disabilities. In order to take advantage of available accommodations, students must register with the Disability Services Office at Suite 2221, Student Health Center, Campus Box 7509, For more information on NC State's policy on working with students with disabilities, please see the Academic Accommodations for Students with Disabilities Regulation (REG ) Non-Discrimination Policy NC State University provides equality of opportunity in education and employment for all students and employees. Accordingly, NC State affirms its commitment to maintain a work environment for all employees and an academic environment for all students that is free from all forms of discrimination. Discrimination based on race, color, religion, creed, sex, national origin, age, disability, veteran status, or sexual orientation is a violation of state and federal law and/or NC State University policy and will not be tolerated. Harassment of any person (either in the form of quid pro quo or creation of a hostile environment) based on race, color, religion, creed, sex, national origin, age, disability, veteran status, or sexual orientation also is a violation of state and federal law and/or NC State University policy and will not be tolerated. Retaliation against any person who complains about discrimination is also prohibited. NC State's policies and regulations covering discrimination, harassment, and retaliation may be accessed at or Any person who feels that he or she has been the subject of prohibited discrimination, harassment, or retaliation should contact the Office for Equal Opportunity (OEO) at Course Schedule NOTE: The course schedule is subject to change. Lecture F 10:40am - 11:30am Semester Schedule 08/16/ /13/2017 Week 1: Orientation to the Course Syllabus Traditional vs. Hybrid Using Moodle Lesson Placing the course in context Weeks 2-5: Part A- Functions of More than One Variable

8 Lesson 1: Multivariable Functions Examples of multivariable functions Graphing multivariable functions Level curves Lesson 2: Partial Derivatives Computing partial derivatives Interpretation of partial derivatives Second partial derivatives Lesson 3: Maxima and Minima Local extrema and saddle points Second derivative test Applications Lesson 4: Lagrange Multipliers Two and three variable method Applications Week 6: Review and Midterm Test 1 Weeks 7-11: Part B- Differential Equations and Mathematical Modeling Lesson 5: Introduction to Differential Equations Vocabulary: ordinary vs. partial, initial value problem, order, autonomous, linear Families of solutions Exponential growth and decay Lesson 6: Introduction to Modeling Creating a model from a description Models similar to exponential growth Lesson 7: Separation of Variables Constants of integration Initial value problems Applications Lesson 8: Numerical and Graphical Solutions of Differential Equations Euler s method Slope fields Lesson 9: Qualitative Theory Constant solutions

9 Qualitative behavior of solutions Sketching solutions Week 12: Review and Midterm Test 2 Weeks 13-15: Part C- More Types of Mathematical Models Lesson 10: Logistic Growth Properties of logistic growth model Solutions of logistic growth model Logistic growth with harvesting Lesson 11: Two Population Models Predator-prey models Epidemic models Lesson 12: Phase Planes Generating phase planes Sketching solutions curves Stability of constant solutions Week 16: Final Exam

STA2023 Introduction to Statistics (Hybrid) Spring 2013

STA2023 Introduction to Statistics (Hybrid) Spring 2013 Course Description This course introduces the student to the concepts of a statistical design and data analysis with emphasis on introductory descriptive