Fall 2019 Course Syllabi

viewed as a participant in the learning; hence there are expectations that come with the choice you made to take this course. ● You are expected to put, at a minimum, approximately 6 – 8 hours of preparation and study time per week into this course. ● Actively participate regularly in class discussions through consistent, punctual, prepared and interested attendance. ● Submit graded assignments by dates posted on the course calendar. On each assignment, you must show ALL YOUR WORK for full credit. If you do not show work, but simply state your answer, you will receive NO credit for the assignment. It is unfair to selectively grant extensions to some students and not others. Therefore, late assignments are not accepted. Addendums to this rule include medical and/or prior approval from the instructor. A zero will be given for any assignment not turned in by the deadline. ● During the course of the semester, if you are experiencing any problems (family difficulties, sick relatives, etc.) that are affecting your academic performance, you must inform me of such problems ASAP if you want me to take them into consideration. The sooner I know about a problem, the more understanding I will be. If you come to me during the last week of the semester, before grades are about to be assigned to discuss difficulties which have affected you throughout the term, you will find that I am not nearly as understanding and that I can do very little to help you with your grade. ● Read assigned textbook chapters. ● Do ungraded, independent practice exercises. ● Submit assigned textbook problems as pdf or jpeg files. ● Complete graded quizzes/tests after each chapter(s). Course Objectives/Student Outcomes: ​ ​ The students will be able to: ● Work with elementary probability. ● Work with mathematics of finance. ● Solve systems of linear equations. ● Solve systems of linear inequalities. ● Work with linear programming. ● Work with statistics. ● Demonstrate an understanding of matrices. Competencies/Learning Outcomes/Performance Indicators: ​ The course addresses the campus theme by exploring real world applications of mathematics in economics, behavioral, social and life science.