Satya Mandal

Department of Mathematics
University of Kansas

Office: 502 Snow Hall
Phone: 785-864-3651/5180
email: mandal@ku.edu

    

Math 105 : Topics in Mathematics
Course Description and Organization

Online Summer 2018 Course (Class No. 84548)

Introduction

In this course the instructors select various topics in mathematics, for a second course in mathematics. Purpose is to provide the students with some experience and insight into several areas of mathematics not normally covered in elementary courses.

This instructor designed this course to provide some insight into application of statistics, preceded by a foundation in probability. Such a design was possible, at this level, due the availability of advanced calculators. The course is dependent upon such a calculator, TI-84 (Silver Edition).

Statistics has a wide range of applications in daily life, at a very basic intellectual level. The goal would be that, by the end of this course, statistics would become part of student's daily intellectual skills. In particular, one would be able to interpret survey and poll reports disseminated daily on TV and newspapers.


Meetings:

This is an online course. There will be no face to face meetings. Main mode of communications would be emails.


Content, Goals and objectives:

We use my online Lecture Notes for this course and no textbook.
There are nine lessons (or chapters) in this course. These lessons can be divided into three parts:

  • Part 1 (Descriptive Statistics): Lesson 1 and 2 constitute the Descriptive Statistics part of this course. We discuss various representations of data in pictorial and numerical manners. In Lesson 1 we learn to compute frequency distributions. In Lesson 2 we diacuss mean, median, quartiles, standard deviation. You will use TI-84 (Silver Edition) to do the computation in these two lessons. Follow the instructions given, in those boxes, to use TI and work out the homework problems.
  • Part 2 (Probability and Mathematics): Lesson 3, 4, 5 and 6 would provide the background in probability that is needed for statistics. Probability would be used as a measure chances of errors in statistical inferences. A great part of probability computations would be done using TI-84 (Silver Edition).
  • Part 3 (Inferential Statistics): Lesson 7, 8, 9 constitutes the final part of the course where we do statistical inferences, which is the main goal of this course. We discuss estimation and statistical hypotheses testing. Again, much of the computations would be done with the aid of TI-84 (Silver Edition).

    Homework

    Homework has been posted in the Lecture Notes site.
    1. You would email the answers to me every Monday. I am mainly interest in the final answer.
    2. Due Dates are also given in the Lecture Notes site.
     

    Grading Scheme:

    Homework 100
    1. Feeling comfortable with homework is the key.
    2. You will have to take the proctored Final, as scheduled below.
    Supervised Final 100
    Total 200

    Schedule of Examinations:

      Content Date Duration Place
    Exam Lesson 2 - 6 (HW 3 -20) July 23 , 27 (your choice) 2.5 hours Wescoe 3139
    Time 8:00 am of 11:00 am or 2:00 am (your choice)
    1. You are allowed to bring a standard size paper with formulas and notes.
      You will also need to bring your TI-84 (Silver Edition). Do not take the test without TI-84.
    2. Important: I will not give you a grade unless you take the supervised Final. If you are out of town, you may work with CODL to arrange such exams.
    3. Please click on the "Exam" tab for further instructions.

    Grading Scale:

    Grade A A- B+ B B- C+ C C- D+ D D- F
    Points 190+ 180+ 170+ 160+ 150+ 140+ 130+ 120+ 110+ 100+ 90+ else
    Percent 95 90 85 80 75 70 65 60 55 50 45 else

    Material

    1. A TI-84 (Silver Edition) would be essential for this course. This version of TI-84 has the invT function in the DISTR-menu.
    2. No textbook is required for this course. The notes given in the lessons would suffice.

    Important Dates:

    Tuesday, June 5, first day of classes
    Wednesday, June 13, last day to drop without a W
    Tuesday, July 17, withdrawal deadline
    Friday, July 27, last day of classes
    © Copy 2012
    My Students have the permission to copy.