Syllabus

MGMT 462 Managerial Analytics

MWF 12:30 pm - 1:20 pm

Parmer 003 (Use NE Stairway down)

 

Fall 2018 August 27, 2018 - December 15, 2017

 

Instructor:      James Miller

Email:             jmiller@dom.edu

Cell phone :    847-530-0550

 

Class Location : Parmer 003 (Computer Classroom)

 

Text (required):  

Sharda, Delen, Turban, Business Intelligence, Analytics and Data Science:  A Managerial Perspective.  2018 Ed.  Pearson Educaton: ISBN 978-0-13-463328-2

 

 

 

We will use Microsoft Office software, especially Excel, and Access. We will also use the Open Source software R and RStudio.  We will also use Microsoft SQL Server which you should not attempt to install on your own machine. All software is availabe in the Dominican Tech Center. The easiest way to use all the software needed in this course is to connect to the Dominican Server ACATSNEW.DOM.EDU. Instructions to do this will be given in the course. You can connect from home or from Dominican. This is espcially important for MAC users since Access does not run on the MAC and we will use features in Excel that are not available on the MAC.

 

Course Description: 

Firms can gain a competitive advantage by using data to make better decisions. Many different organizations, including businesses, governments, and non-profits, are now making significant investments in analytics. The objective of this course is to help you understand the field of analytics and be able to put analytics into a business / managerial environment. A secondary objective is to expose the student to basic concepts in Management Information Systems such as Database Management, Cloud Computing, and Big Data.The course will explore

        1. How managers use analytics to formulate and solve business problems and to support managerial decision making.

        2. The Role of Data to help you understand the basis of all analytics

        3. Descriptive Analytics to help you understand what has happened

        4. Predictive Analytics to help you understand trends and predict outcomes

        5. Prescriptive Analytics to help you decide what action you should take

Cases and hands on exercises will be used.  Students will apply tools such as Microsoft Excel, Microsoft Access and SQL, and R.  

 

 

 

Prerequisites:  MGMT301, and CIS120 or exemption from CIS120

 

Grading: (Percentages will be updated as soon as all assignments have been entered into Canvas)

Homework, Quizzes, and in class work 65%
Online Discussions 10%
Exam in Week 11 25%
   
   
   

 

 

 

At the end of the course the final  letter grade will be computed as follows:

 
Letter Grade
 
Corresponding Percentage

A:

  

93-100%

A-:

  

90-92.9%

B+:

  

88-89.9%

B:

  

80-87.9%

C+:

  

78-79.9%

C:

  

70-77.9%

C-:

  

68-69.9%

F:

  

0-67.9%

 

 

 

Logistics:

You will need to use your Dominican email address in this class. Please see the Computer Lab aides if you do not already have the required accounts. Use of Canvas is required.

 

All assignments are due at midnight the night before the class. If you have a reason why your assignment will be late, contact me before the due date. This is easy to do and it will save you the late penalty. The late penalty is 10% if you don't ask for an extension ahead of time and 100% one week after the assignment was originally due.

 

Exam in Week 11:  The exam will cover all materials presented in class up to the exam date.  An emphasis will be placed on the class lectures, notes, handouts and the required reading.  If you must miss the exam, you must obtain approval before the exam date. The exam may be made up on a mutually agreeable schedule but make up dates generally are before the scheduled exam date.

 

Online work (Canvas): All work in this course will be submitted in Canvas (No paper!).

 

Schedule details: The schedule is subject to change. A detailed schedule by class week can be found here. In case of a conflict between the schedule in the Syllabus and due dates in Canvas, Canvas rules.

 

 

Objectives: