X504 – Quant Methods ScheduleKelley School of Business, Indiana University – Bloomington

Course DescriptionFall Semester, 2015

Instructor John HillOffice HH 4145Email hilljoh@indiana.eduPhone (812) 855-2729

Office Hours: Wednesdays from 2pm-4pmAlso by appointmentAlso any time I’m in the office (email first)

Course MaterialsYou will receive a hard copy of the course note pack. This contains all materials from both the

video and class lectures. Spreadsheets used in videos and in class will be in the Canvas modules.

Link to course materials in canvas

Course DescriptionThis course is intended to be an introductory course in types of quantitative analysis which will

support future electives in Business Analytics as well as other MBA program concentrations. The course will start with an overview of statistics and probability. We will then cover the topics of sampling and hypothesis testing in order to learn how to compare data to benchmarks or other data. The third topic for the course is linear regression where we will explore correlation and causality within a data set and learn about the concept of statistical significance. Finally, the course concludes with a discussion of optimization techniques including linear programming.

The quiz following our third session (Aug 31) is intended to help students gauge how well they are keeping up in the course. The quiz will be graded, but constitutes only 0.5% of the overall CORE grade. This is an opportunity for students to identify areas of concern and address them with the instructor or GA in order to improve the chances for success in the course.

There are four individual homework assignments. Assignment 1 Due: Friday, August 28th, 11:59pm.Assignment 2 Due: Friday, September 11th, 11:59pm.Assignment 3 Due: Friday, October 2nd, 11:59pm.Assignment 4 Due: Wednesday, October 7th, noon

There are three team cases to be completed.Integrated Siting Systems Due: Friday, September 4th, 11:59pmSophomore Jinx Due: Friday, September 18th, 11:59pmNils Baker Due: Friday, September 25th, 11:59pm

There are two exams.Midterm on Monday, September 14th Final Exam on Wednesday, October 7th

Student PreparationThe main preparation for the course is to view the video summaries of the topics prior to each

class. This material is intended to provide the theoretical basis for the material we will apply during the lecture period. Student preparation/participation will be graded based on lecture questions covering the material in the online videos. The videos are paired with excel spreadsheets to allow the student to work in parallel with the video. Students with familiarity of a topic may only need to watch the video once. Students who are new to the topic may need to pause, rewind, and re-watch several times. It is the responsibility of the student to be familiar with the topic prior to class. You will be given a quiz following every video. This quiz will help me to steer the class in the necessary direction as well as provide an indication to me as to the engagement of the student in preparing for class. It is not assumed that students will get everything right on the quiz. That’s why we have class.

Course Schedule

Week Date Topic Exams Assignments Due1 24-Aug Exploring Data1 25-Aug Relationships in Data1 26-Aug Proability Theory and Bayes Theorem2 31-Aug Sessions 1-3 Quiz2 1-Sep Decision Making and Uncertainty2 2-Sep Decision Making and Uncertainty3 8-Sep Normal and Binomial Distributions3 9-Sep Distribution Lab3 10-Sep Sampling4 14-Sep Sessions 1-8 Midterm4 15-Sep Confidence Intervals4 16-Sep One Sample Hypothesis Testing4 17-Sep Two Sample Hypothesis Testing5 21-Sep Regression Basics5 22-Sep Regression Time Series Data5 23-Sep Regression Modeling6 28-Sep Regression Lab6 29-Sep Forecasting 6 30-Sep Forecasting 6 1-Oct Optimization7 5-Oct Simulation7 7-Oct Cummulative Final Exam

Case 3

Homework 3

Homework 4

11-Sep

18-Sep

25-Sep

2-Oct

7-Oct

Homework 1 28-Aug

Case 1 4-Sep

Homework 2

Case 2