BCIS 5610

Executive and Decision Support Systems

Spring, 2008

 

 

Instructor:          Dr. Jack D. Becker

Office:              COBA 338E;           Phone:           940-565-3110 or 3113;        FAX:   940-565-4935

Email:                                     becker@unt.edu   [Preferred communication medium]

URL (for Textbook):             http://www.prenhall.com/turban/  

Office Hours:            Wed. 5-6 p.m.; Thur. 1-2 p.m.; also, by appointment.

 

Grading Summary [Links to website below]

 

Textbook (another may be assigned at a later date)

Decision Support and Business Intelligence Systems

  Efraim Turban, Jay E. Aronson & Peng-Ting Liang, & Ramesh Sharda 8th Edition, 2007, Pearson/Prentice-Hall, Inc.

 

Course Description (from Graduate Catalogue)

An analysis of how computer systems can assist executive decision-making and improve productivity.  Emphasis is placed on the design, construction, utilization and managerial impacts of executive support system.  Prerequisite:  BCIS 5120.

 

Grading Procedures

Your grade for this course will be a function of group projects, in-class presentations, an in-class midterm examination and a final group project.  Each student will be responsible for preparing five (5) Cases during the semester and a final project.  Four (4) of these cases are team projects and require an oral presentation.  In addition the Final Project is also a team project and includes an oral presentation.  All assignments must be professionally prepared.  PowerPoint presentations are recommended.  Performance evaluations will be completed by each team member for every group project (see attached).  NEW:  Performance evaluations (RTF format)

 

Generally the term "Case" refers to a Case Application in the textbook, however, it may also refer to an Internet Exercise, a Team Project or a Group Exercise, depending upon the topic.  The group size and number of projects is dependent upon the course enrollment.  During each oral presentation, the entire class is expected to participate, i.e., be prepared to bring up the salient issues from the materials upon which the Cases are based.  In-class presentations will count 100 points each and their associated written report will count an additional 100 points (200 points total).  Written cases which are not presented in class, will count 100 points each.  The cases/projects during the semester will count 900 points of your grade (out of 1470 points).  All written reports should be 3-5 pages in length (appendices are not included in this page count).  Be sure to answer all case questions in the order given.  All presentations must include a written report and a hard and softcopy of all presentation materials.  Presentations should not exceed 30 minutes.  In class presentations will be evaluated and graded by the instructor and all students.  In essence you will be actively participating in a real decision support system (DSS) every class period.

 

The midterm examination (250 points) will be an in-class, open note and open book examination based upon an actual case study.  The examination will be designed to test your reasoning ability.

 

The Final Case Project will be assigned immediately after the midterm examination.  As with the other cases, use the questions at the end of the case to guide your presentation.  The final project counts 250 points of your grade (limit 10 pages; excluding attachments). 

 

Final Project 1 [TBA]

Final Project 2  [TBA]

 

Class attendance is mandatory.  There is a 70 point incentive (5%) for perfect attendance.   35 points will be deducted from this incentive for each unexcused absence.  ONLY 1 excused (prior to class) absence per semester is permitted.

 

Grading Summary

 

PreFinal Grades [Posted as available]

Final GRADES

 

 

Attendance INCENTIVE                                         70 points                      70 points

1 Individual written case                                         100 points                   100 points

4 In-class Presentation (includes write up)                     200 points each         800 points

Midterm examination                                              250 points                   250 points

Final Project                                                             150 points                   250 points

Total Points                                                                                                   1,470 points

 

Additional BONUS assignments may be assigned at the instructor’s discretion.

 

 

Online Research Resources at UNT

 

A vast array of online resources are available to you at the following UNT Library Link:

 

http://www.library.unt.edu/research-tools/class-pages/bcis-dr-jack-becker/

 

Please plan to use these resources with every project you do for my class.  Leave no “stones unturned”!  Be a good seeker of the truth.


 

BCIS 5610 Spring 2008 Schedule (Rev: 1/16/2008):  Subject to modification

Week

Topic

T/A/L Reading

Projects;  I.E. = Internet Exercise; Case=End of Chapter Case

 1.  Jan 16

Management Support Systems: An Overview.  Class Objectives.

Chapter 1

p. 6: Ques. for Opening Vig. 1.1; p 40: Ex.1 [TUN]; p. 41: Case 1

 2.  Jan 23

Decision Making, Systems, Modeling and Support

Chapter 2

[All; W]p. p. 179:  Ex. 6  MBI Case (pp 154-159); AND

p. 79:  I.E. 2 & 3 [Use Tables!!]

 3.  Jan 30

Decision Support Systems (DSS)

Chapter 3

p. 128: Case 3; AND p. 127: Ex 2 (provide .ppt tour Power’s site)

 4.  Feb  6

Modeling and Analysis

 

Chapter 4

p. 179: I.E. 7 (SAS EM and 2 others); OR p. 180: Case 4 MLB

 5.  Feb 13

Business Intelligence & Data Warehousing (also visit, Data Warehousing Institute website)

Chapters S & 5

P 203: Survey & compare at least 5 of the Resource Links; OR p, 247: Ex. 1 (Coke); OR p. 249: Case 5 (Overstock.com)

 6.  Feb 20

Business Analytics & Data Visualization; Data, Text, Web Mining

Chapter 6 & 7

p. 298 : Case 6 (GIS); OR

p. 340 : Case 7 (HP)

 7.  Feb 28

Systems Development & Acquisition

Chapter 15

P 705: I.E. 6 & 8; OR p. 705: Case 15 (Sterngold)

 8.  Mar  5

Midterm Examination

Ch. 1-7; 15

In-class CASE

 9.  Mar 12

Business Performance Mgt; and Balanced Scorecard

Chapter 9

p. 427: I.E. 4 & 5; OR I.E. 6 & 7;

OR p. 429:Case 9 (Western Dig)

Mar 15-23

SPRING BREAK

 

 

10.  Mar 26

Collaborative Computing Support Technologies

Chapter 10

p. 475: I.E. 2 & 3; OR  I.E. 4; OR p. 475:Case 10 (DKW Wiki)

11. Apr  2

Knowledge Management;

Chapter 11

p. 524: I.E. 4 & 5; OR p. 524: Case 11(DaimlerChrysler EBOK)

12. Apr  9

AI and Expert Systems

Chapter 12

p. 573: I.E. 1, 2 & 4; OR; p. 573:  Case 12 (FBFS)

13. Apr 16

Intelligent Software Agents over the Internet

Chapter 14

p. 658: Ex 4 & 5; OR p. 658: I.E. 5 (include a description of the Semantic Web); OR p. 659 Case 14 (Spartan)

14.  Apr 25

Advanced Intelligent Systems:  e.g., Neural Computing

Chaps 13 & 8

p. 611: I.E. 2 & 5; OR  p. 611: I.E. 8,9 & 11; OR p. 611 Case 13 (Barclays)

15.  Apr 30

Advanced Intelligent Systems:  e.g., Neural Computing

CLASS Evaluations

Ch. 13 & 8 (Continued)

p. 379 I.E. 1 & 2; OR p. 380: Case 8 (Sovereign)

16. May  7

Final Projects in lieu of Exam

TBA

Final project 1; 30 min each team


 

 

Americans with Disabilities Act Information

The College of Business Administration complies with the Americans with Disabilities Act in making reasonable accommodations for qualified students with disabilities.  If you have an established disability as defined in the Americans with Disabilities Act and would like to request accommodations please see me immediately.  Usually the ADA office in the Student Union is the students’ initial point of contact and it is that office that would inform me of what is the norm in accommodations.  This notification must be done well before the scheduled event.

 

Ethical Behavior in BCIS Classes

The BCIS Department expects its students to behave at all times in an ethical and legal manner.  There are at least two reasons for this.  First, ethical behavior affirms the personal value and worth of the individual.  Second, both IT and Decision Science professionals frequently handle confidential information on behalf of their employers and clients.  Thus employers of BCIS and DSCI graduates expect ethical conduct from their employees because that behavior is crucial to the success of the organization.

 

Academic dishonesty is a major violation of ethical and legal behavior.  The BCIS Department defines academic dishonesty as claiming the work of others as your own, or using illegal or unapproved means to raise your grade in a class.  Examples include: copying answers from another person’s paper; using unapproved notes during an exam; copying computer code from another person’s work; having someone else complete your assignments or take tests on your behalf; stealing code printouts, software, or exams; recycling assignments submitted by others in prior or current semesters as your own; and copying the words or ideas of others from books, articles, reports, presentations, etc. for use as your own thoughts without proper attribution (i.e., plagiarism).  It does not matter whether you received permission from the owner of the copied work; claiming the material as your own is still academic dishonesty. 

 

The student’s grade for academic dishonesty in BCIS classes is an immediate “F” for the course involved and referral of the case to the COBA Academic Advising Office.

 


 

 

PERSONAL DATA

 

NAME

PHONE NO.

EMAIL

LOCATION PREFERENCE:

    

TEAMMATE PREFERENCES

1.

2.

3.

4.   

 

 

 

 

By my signature below, I attest that I understand the course policies. I will behave ethically in this class, and will encourage my classmates to behave ethically. I also understand that I have a moral responsibility to report to my instructor any suspected case of academic dishonesty in this class.

 

__________________________________________________________________________

Print your name and give your signature.

 

 ___________________________           _______/______/2008

Student ID number                                   Today’s date

 

My course scores my be published using the last 5 digits of my student number

 

(SSN) __ __ __ __ __ ; or the following 5-character code: __ __ __ __ __.

If both numbers were left blank, your scores will NOT be published.

 

_________________________

 

____________________________

 

   _____ / ____ /2008

Signature

 

Print your name

 

Date: month/day/year