Calculus I
Math 231 Section 6933 Fall 2011
Mon: 12:20 - 2:15 1S-218 Wed: 12:20 - 2:15 1S-115
Course description: We will study measures of central tendency and dispersion like mean, median and standard deviation, random variables, binomial & normal distributions, the normal curve, hypothesis testing, linear correlation and regression, basic concepts in probability with application. Statistical computer program R will be used extensively for computer labs.
Prerequisite: MTH 015 or MTH 020 or an appropriate score on the CUNY math proficiency/placement exam.
Text book:
Elementary Statistics by
Mario Riola, 11th edition, Addison Wesley, ISBN-10: 0-321-89721-8 (for book store), 0-321-69450-3 (for online).
Syllabus & Homework: We will cover topics from Chapters 1 to 11. The syllabus and homework problems are listed on the Syllabus. Homework problems must be submitted online via MyStatLab , which is an online homework system. The course id for registering into MyStatLab is champanerkar03145 . Online homework will count towards 15% of the grade .
Computer Lab: The computer lab which accompanies this class meets on Wed: 10:10 - 11:00 in the computer lab 1S-108. We will use the statistical computer package R to do a number of lab assignments. Labs assignments will count towards 10% of the grade.
Required Calculator: TI-83 or TI-84
Exams: There will be 3 exams during the semester and a Final exam at the end of the semester. Here are the tentative dates:
Grading: The course grade will be computed as: 25% Lab Assignments & Online Homework + 45% Exams + 30% Final Exam. Missing the Final exam will result in an F grade. Any changes to the grading policy will be announced in the class.
Method of Study: Attend class. Read the textbook. Do the homework. Discuss and talk to other students. Use my office hours or email me to ask questions.
Help: Email is the best way to contact me. Use the office hours posted above. Free math tutoring is also available.
Attendance is mandatory. Cell phone usage of any kind during class is not allowed. Academic dishonesty and cheating will not be tolerated.