Performance Objectives:Course Outline:Pima Community College Northwest Campus – spring, 2004 MAT174, crn#24758, BUSINESS MATHEMATICS IIMonday, Wednesday, 8:40am – 9:55am, NWB – B312January 14th – May 12th Instructor: Anthony J. D'Alesandro Email: [email protected]: (520) 206 – 6464 mailbox: 65414 Availability: Adjunct faculty center C-Bldg. 3rd floor, Wednesday 2pm – 5pm, or by appointment. Course Description: Continuation of MAT 173. The course includes distributions, normal distribution, basic statistics, integration, common business functions, differentiation, and computer skills. The prerequisite for this course is the successful completion of MAT173. This requirement will be strictly enforced.Texts: Thompson, Richard B. & Christopher G. Lamoureux, Mathematics for Business Decisions, Part 2 Calculus & Optimization, Mathematical Association of America, 2003.(CD-ROM and Student Notebook) Mendel, Williamson, Tarr & Yoklic, Student Manual for Mathematics for Business Decisions, Part 2: Calculus & Optimization, Mathematical Association of America, 2003.Grades: 2 projects worth 200pts each.400pts A: 895pts – 1000pts 2 exams worth 150pts each. 300pts B: 795pts – 894pts quizzes 150pts C: 695pts – 794pts homework 150pts D: 595pts – 694ptsTOTAL 1000pts F: 0pts – 594ptsProject Points: Preliminary report 20pts Final Oral report 70pts Written report 60pts Project quiz 50pts TOTAL 200ptsPerformance Objectives: 1. Use continuous and discrete distributions. 2. Interpret definite integrals in terms of area between curves, describe and use the Fundamental Theorem of Calculus and apply numerical integration skills to business applications. 3. Compute the mean, variance, and standard deviation for samples and random variables. 4. Use normal distributions, simulated normal distributions, and the Central Limit Theorem. 5. Use cost, demand, revenue, and profit functions. 6. Define the derivative, interpret the derivative as a rate of change, and use numerical derivatives for marginal analysis and optimization problems. 7. Apply trend lines, graphing utilities, integration utilities, simulation, and the Solver in Excel to business functions.Class conduct: Students are expected to abide by Pima College’s Student Code of Conduct (http://www.pima.edu/~coadmissions/stud_rights_conduct.html) and Scholastic Ethics Code (http://www.pima.edu/~coadmissions/stud_rights_ethics.html). Disruptive behavior will not be tolerated. Cell phones, pagers, beepers, and other similar devices must be turned off while in the classroom. Each student is to submit his/her own work. Students may not copy the work of others. Cheating and plagiarism will not be tolerated.Late assignments: Late homework is not accepted. With this course you are considered an employee and as in the business world, late work is not tolerated! When I give you a deadline you are expected to meet it. Attendance: Attendance is extremely important to success! If any student is absent for more than 4 classes I reserve the right to withdraw the student from the roster prior to the withdraw deadline of April 7th, 2004. After that date the student may receive an F. Special Grades: The I (incomplete) grade is not normally issued by the instructor. An I grade can only be awarded if and only if a small portion of work has not be met by the student and the student is facing a dire circumstance (i.e. birth and death of immediate family members). This instructor does not issue the Y grade. The W (withdraw) grade, which can be initiated by the instructor, is issued between the drop deadline of January 28thto April 7th. Take advantage of the W if you are not getting a passing grade by April 7th. Check with me during the semester for a grade update. Make-up Exams: If a student needs to make-up a test or project quiz, that student must present in writing the reason for the make-up within 3 business days of the exam, otherwise the grade is 0. There are no make-ups for weekly quizzes. A number of quizzes, determined by the instructor, will be dropped from the final grade. YOU CAN NOT BE ABSENT FOR ANY ORAL PRESENTATION! If you are absent you will receive a 0 for that portion of the project. No exceptions can be made for this policy.ADA policy Statement: Pima Community College is an equal opportunity, affirmative action employer and educational institution committed to excellence through diversity. Reasonable accommodations, including materials in an alternative format, will be made for individuals withdisabilities when a minimum of five working days advance notice is given. For the general public, pleas contact the PCC information line at 206 – 4500 (TTY 206 – 4530); for PCC students, contact the Northwest Campus Disabled Student Resources Office at (520) 206 – 2209 (TTY 206 – 2270).COURSE SCHEDULE FOR MAT174*DATE TOPICJan. 14th Introduction to the course and Project I, formation of teamsJan. 19th MARTIN LUTHER KING JR. DAY – NO CLASSJan. 21stGraphing FunctionsJan. 26thPreliminary Reports for Project IJan. 28thDemand, Revenue, Cost & Profit (LAST DAY TO DROP)Feb. 2ndDemand, Revenue, Cost & ProfitFeb. 4thDifferentiationFeb. 9thDifferentiationFeb. 11thDifferentiationFeb. 16thUsing Excel SolverFeb. 18thIntegrationFeb. 23rdIntegrationFeb. 25thIntegrationMar. 1stTEST I – Material thru Feb. 24thMar. 3rdPROJECT I FINAL REPORTS Mar. 8th PROJECT I FINAL REPORTS – PROJECT I QUIZMar. 10thIntroduction to Project IISPRING BREAK – NO CLASSESMar. 22ndDistributionsMar. 24thPreliminary Reports for Project IIMar. 29thDistributionsMar. 31stVarianceApr. 5thVarianceApr. 7thThe Sample Mean (LAST DAY FOR W GRADE)Apr. 12thThe Sample MeanApr. 14thNormal DistributionsApr. 19thNormal DistributionsApr. 21stNormal DistributionsApr. 26thSimulating Normal Random Variables – Focus on the projectApr. 28thSimulating Normal Random Variables – Focus on the projectMay 3rdSimulating Normal Random Variables – Focus on the projectMay 5thTEST II – Material from Mar. 11 to May 4May 10thPROJECT II FINAL REPORTS – PROJECT II QUIZMay 12thPROJECT II FINAL REPORTS* - Schedule is subject to change. LAST DAY FOR FULL REFUND IS JANUARY 28, 2004LAST DAY TO WITHDRAW IS APRIL 7, 2004Course Outline:I. Distributions A. Random variables B. Probability mass functions, probability density functions,