01:640:104 Introduction to Probability (3)
The course gives a mathematical yet accessible and concrete introduction to probability. Most of the course is devoted to understanding how probability works, and how it is applied in a number of areas, including medical testing and some decision making. The end of the course discusses some statistics and applications. You will never be left wondering, "What is this good for? What does this have to do with real life?"
This is an elementary course for liberal arts majors, in the sense that it does not presume any knowledge of precalculus or calculus. It is, however, more challenging than Math 103, and more focused in its subject matter. Many students who take Math 104 have already taken Math 103, although it is not a prerequisite.
Math 104 is typically not appropriate for majors in STEM fields. Math 104 may not be used as an elective for the Mathematics major or minor, and may not be taken for credit simultaneously with or after a student has received credit for any of the following courses: 01:640:477, 01:198:206, 01:960:379, 01:960:381, 14:332:226.
Prerequisite: 01:640:026 or appropriate performance on the placement test in mathematics. May not be used as an elective for the math major or minor.
SAS Core Curriculum Learning GoalsMath 104 fulfills both the Quantitative Information (QQ) and Mathematical or Formal Reasoning (QR) learning goals of the SAS Core Curriculum:
QQ: Formulate, evaluate, and communicate conclusions and inferences from quantitative information.
QR: Apply effective and efficient mathematical or other formal processes to reason and to solve problems.
Hybrid sectionsIn fall 2016, there will be one hybrid and two traditional sections of the course, so that students can choose the format which is best for their learning style. The hybrid sections will implement the flipped classroom model, so that students will first learn the subject matter, on their own time, from carefully working through a series of video lecture segments posted on Sakai interspersed with practice problems. The weekly class meeting will follow up on the students' online work, beginning with a quiz on that work, and proceeding with a highly interactive workshop session. A hybrid section has only half the in-person class time of a regular section, but this does not mean that it requires half as much work! On the contrary, the hybrid format requires a certain extra discipline, to keep up with the online component of the course. But it does have the advantage that students can rewatch the videos as often as they need to, and can also benefit from a more interactive classroom experience.
Spring 2017 Schedule
(click for map)
|Garnett, Brian||L||16164||03||MTh2||9:50 AM - 11:10 AM||MU-208||CAC|
|Lieberman, Melissa||L||16165||05||TF3||12:00 PM - 1:20 PM||SEC-207||BUS|
|Lieberman, Melissa||L||16166||06||T4||1:40 PM - 3:00 PM||SEC-217||BUS|
Finite Mathematics: An Applied Approach, Eleventh Edition by
Michael Sullivan, custom edition for Rutgers University, ISBN
The custom edition is a softcover textbook printed in black and white,
and contains only those chapters from the full length non-custom
version which are actually used in the course. This custom edition was
created in order to make the book as inexpensive for students as possible.
The custom edition of the textbook can also be bought as an e-book, at https://store.vitalsource.com/show/9781119947172
SyllabusThere is some variation between sections, but this section is representative of the course.
Disclaimer: Posted for informational purposes only
This material is posted by the faculty of the Mathematics Department at Rutgers New Brunswick for informational purposes. While we try to maintain it, information may not be current or may not apply to individual sections. The authority for content, textbook, syllabus, and grading policy lies with the current instructor.
Information posted prior to the beginning of the semester is frequently tentative, or based on previous semesters. Textbooks should not be purchased until confirmed with the instructor. For generally reliable textbook information—with the exception of sections with an alphabetic code like H1 or T1, and topics courses (197,395,495)—see the textbook list.