COURSE SYLLABUS Data Analysis and Reporting Spring 2019 I. Class · Course Description: Students will gain practical experience in using advanceddatabase techniques and data visualization, data warehousing, reporting and other Business Intelligence (BI) tools. Contemporary BI tools and technologies will be used to create intelligent solutions to realistic problems. · Course Objectives: 1. Effectively understand the evolution of business analytics needs and to develop an appreciation for issues in managing data/information/knowledge. 2. Apply in advanced database techniques in designing and executing complex queries in enterprise level database management information systems (Oracle, SQL server, DB2 …). 3. Understand data warehousing administration and security issues. 4. Apply data extraction, transformation, and load (ETL) processes. 5. Administer and build reports BI. Required Course Materials · Free eBooks and other software resources will be posted on Blackboard. · We use the Microsoft SQL Server 2017 in this class through a virtual machine that you can access from home or from campus. · The on-campus computer lab in the business building located off the Atrium is available for student use and has the necessary computers and software. Computer lab hours can be found at: http://ualr.edu/cob/student-services/advising/advising-faq/ · Some of the assignments will require Microsoft Office software (e.g., MS Word, Excel, etc.). One way to get access to the MS Office software is get a free subscription to MS Office 365 ProPlus. Get the MS Office software here for free.. 2 IV. Course Grading Course grading will be the combination of exams, term project, assignments, and quizzes. Grades are based on: A: 90~ 100%, B: 80~ 89%, C: 70~ 79%, D: 60~ 69%, F: 59 as described below. Graduate students will be evaluated using the same criteria as the undergraduate students. However, they will have to submit an additional assignments and/or extra project. Grade Element % A. Participation 10% B. Reading Quizzes 20% C. Assignments 30% D. Assignment Quizzes 10% E. Exams (three) 30% Total 100% A. Participation You will be responsible for various in-class activities that will allow you to exercise your skills and knowledge, stimulate your critical thinking, and perform your assignments. You are expected to attend all the sessions, come to the class before it starts, stay in class for lectures and assignments, and participate with all class activities. Failure in any of these four areas will impact your participation grade. Class attendance, measured as a percentage of classes attended where role is called, sets the baseline for the participation grade (e.g., 80% means you attended 8 out of 10 classes and did not leave those classes early). Additional points may be removed for non-participation in classroom activities or discussions. · Class attendances will be verified at the beginning of each class. Students will be count.

1. COURSE SYLLABUS
Data Analysis and Reporting
Spring 2019
I. Class
· Course Description: Students will gain practical experience in
using advanceddatabase techniques and data visualization, data
warehousing, reporting and other Business Intelligence (BI)
tools. Contemporary BI tools and technologies will be used to
create intelligent solutions to realistic problems.
· Course Objectives:
1. Effectively understand the evolution of business analytics
needs and to develop an appreciation for issues in managing
data/information/knowledge.
2. Apply in advanced database techniques in designing and
executing complex queries in enterprise level database
management information systems (Oracle,
SQL server, DB2 …).
3. Understand data warehousing administration and security
issues.
4. Apply data extraction, transformation, and load (ETL)
processes.
5. Administer and build reports
BI. Required Course Materials

2. · Free eBooks and other software resources will be posted on
Blackboard.
· We use the Microsoft SQL Server 2017 in this class through a
virtual machine that you can access from home or from campus.
· The on-campus computer lab in the business building located
off the Atrium is available for student use and has the necessary
computers and software. Computer lab hours can be found at:
http://ualr.edu/cob/student-services/advising/advising-faq/
· Some of the assignments will require Microsoft Office
software (e.g., MS Word, Excel, etc.). One way to get access to
the MS Office software is get a free subscription to MS Office
365 ProPlus. Get the MS Office software here for free..
2
IV.
Course Grading
Course grading will be the combination of exams, term project,
assignments, and quizzes. Grades are based on: A: 90~ 100%,
B: 80~ 89%, C: 70~ 79%, D: 60~ 69%, F: 59 as described
below. Graduate students will be evaluated using the same
criteria as the undergraduate students. However, they will have
to submit an additional assignments and/or extra project.
Grade Element
%
A.
Participation
10%

3. B.
Reading Quizzes
20%
C.
Assignments
30%
D.
Assignment Quizzes
10%
E.
Exams (three)
30%
Total
100%
A. Participation
You will be responsible for various in-class activities that will
allow you to exercise your skills and knowledge, stimulate your
critical thinking, and perform your assignments. You are
expected to attend all the sessions, come to the class before it

4. starts, stay in class for lectures and assignments, and participate
with all class activities. Failure in any of these four areas will
impact your participation grade.
Class attendance, measured as a percentage of classes attended
where role is called, sets the baseline for the participation grade
(e.g., 80% means you attended 8 out of 10 classes and did not
leave those classes early). Additional points may be removed
for non-participation in classroom activities or discussions.
· Class attendances will be verified at the beginning of each
class. Students will be counted absent if they are not in the
class when roll is taken. If students are tardy, they are counted
as absent. No exceptions!
B. Readings Quizzes
There will be multiple quizzes throughout the course. The
purpose of the quizzes is to ensure that student is performing
the required reading throughout the semester. The highest grade
of your two quiz attempts will determine your quiz grade.
· The single worst quiz grade will be dropped for final grade
calculation.
C. Assignments
There will be multiple assignments throughout the course.
Through these assignments, you will have the opportunity to
apply what we discussed in the class. Students will be
3
asked to individually complete a series of assignments based on
cases, articles, and/or other exercises.
grade calculation.
D. Assignment Quizzes

5. There will be multiple quizzes throughout the course. The
purpose of the quizzes is to ensure that student understands
ideas, concepts, and techniques in the course’s assignments. The
highest grade of your two quiz attempts will determine your
quiz grade.
· The single worst quiz grade will be dropped for final grade
calculation.
E. Exams
There will be three exams. More information will be provided
before the exams.
· The two highest exam grades are averaged to calculate the
exam grade, meaning that the lowest exam grade is dropped.
· Exams are not subject to the late work policy and must be
completed in class, in the face-to-face format, or by the due
date subject to testing center availability in the case of online
format (no exceptions).
· Exams on which cheating was involved will receive a zero that
cannot be dropped from the exam grade calculation.
V. Policies
A. Blackboard Statement
This course makes extensive use of the Blackboard system to
disseminate information and materials for this class. If I need to
make a change to the class or contact you, I will do it through
Blackboard. Therefore, in order to keep up with the events in
the class,you will need to check Blackboard regularly
(preferably at least once per day).
B. Attendance
If something happens causing you to be absent, I strongly
suggest you notify me in advance. Federal financial aid
regulations hold an institution responsible for knowledge of
student class attendance and withholding federal funds if a
student is not attending. The same is true for veterans’

6. educational benefits and for the Arkansas Department of
Education.
· In an online course attendance is based on the student signing
on to Blackboard and submitting work each week.
· If a student does not submit any to Blackboard in a week, then
they are considered absent.
· If a student has not attended class within the first two weeks
of class (the first ten class days), the students may be
withdrawn administratively.
· If during the semester a student misses two consecutive weeks
of classes, the student may be withdrawn administratively.
4
C. Late Work
Late work will be penalized in this course. You will not be able
to negotiate late work after the fact. If you notify me that there
is a problem ahead of time, you may be able to negotiate lower
to no penalties assuming there is a significant acceptable reason
for the delay. Unacceptable reasons include, but are not limited
to: too much to do this week, or my internet quit working, or my
machine quit working before I could upload at 11:59. If work is
submitted:
· Up to 24 hours after the due date, the penalty is 10 points
· Between 24 and 48 hours after the due date, the penalty is 20
points
· After 48 hours past the due date will receive a zero
Additionally, if you submit the wrong file to an assignment or
paper, you have a choice. You may have me grade the original
submission. Or, you have me grade the late submission with
applicable penalty.
Work, including quizzes, assignments, papers, projects, etc.,
submitted more than

7. 48 hours past the due date will not be graded. No work will be
accepted after
11:59pm of the last day of classes as identified on the
University Academic Calendar
(subject to the previously described late policy). No exceptions!
D. Plagiarism and Academic Dishonesty
University regulations regarding academic dishonesty, as set
forth in the UALR student handbook and other university
documents and publications will be strictly enforced in this
class. In accordance with Section VI: Statement of Student
Behavior, under the code of student rights, responsibilities, and
behavior, the university defines academic dishonesty under the
classifications of cheating, plagiarism, collusion, and duplicity
(see http://ualr.edu/deanofstudents/1684-2/ for definitions).
Academic dishonesty in this class may result in disciplinary
sanction and WILL be reported to the office of the dean of
students.
In addition to reporting dishonesty to the dean of students, the
exam, quiz, or assignment, on which cheating was involved will
receive a zero that cannot be dropped or replaced in the final
grade calculation.
A second occurrence of dishonesty or plagiarism will result in a
grade of “F” for the class
For your convenience the definitions for cheating, plagiarism,
collusion, and duplicity are provided below.
Cheating on an examination or quiz is defined as to give,
receive, offer, or solicitinformation on any quiz or examination.

8. This includes the following classes of dishonesty:
· Copying from another student’s paper;
5
· Use during the examination of prepared materials, notes, or
text other than those specifically permitted by the professor;
· Collaboration with another student during the examination;
· Buying, selling, stealing, soliciting, or transmitting an
examination, or any material purported to be the unreleased
content of a coming examination, or the use of such material;
· Substituting for another person during an examination or
allowing such substitution for oneself;
· Bribery of any person to obtain examination information.
Plagiarism is to adopt and reproduce as one's own, to
appropriate to one's own use andincorporate in one's own work
without acknowledgement, the ideas or passages from the
writings and works of others. If you use someone else’s words
or ideas without crediting them, you a committing plagiarism.
To avoid plagiarism, simple cite the work used and, if directly
quoting something, put quotation marks and the page number.
See Purdue OWL https://owl.english.purdue.edu/owl/section/2/
and videos about specific topics at
https://www.youtube.com/user/OWLPurdue.
Collusion is to obtain from another party, without specific
approval in advance by theprofessor, assistance in the
production of work offered for credit to the extent that the work
reflects the ideas or skills of the party consulted rather than
those of the person in whose name the work is submitted.
Duplicity is to offer for credit identical or substantially
unchanged work in two or morecourses without specific advance
approval of the professor(s) involved.
E. Abuse

9. As with physical abuse, verbal abuse will not be tolerated.
Verbal abuse includes but is not limited to verbal harassment,
threats of violence, profanity used to threaten or demean, and
verbal intimidation. Forms of abuse include spoken, written, or
electronic.
Any student, student organization, or group of students found
responsible for verbal abuse will be referred to the Deans of
Students for disciplinary action.
6
VI.
Tentative Course Schedule
This is a tentative outline in this course. Please use this
schedule to see where you should be in your reading, and when
exams are tentatively scheduled. The schedule is subject to
change. In case of changes, student will be notified in advance.
Date
Topic
Week 01 – 01/21

10. Review and Understand Syllabus
Readings – Introduction to SQL Server
Readings Quiz 01 – SSRS

11. Readings – Competing on Analytics
Readings Quiz 02 - COA
Assignment 01 – ERDs and Data Dictionaries
Assignment Quiz 01

12. Introduce yourselves and ask questions on Discussion Board
Week 02 – 01/28
Readings – McKinsey Report
Readings Quiz 03 - McKinsey

13. Readings – Strength in Numbers
Readings Quiz 04 - SIN
Assignment 02 - SQL Queries with Joins and Wheres
Assignment Quiz 02

14. Holiday – No Class on
Monday
Week 03 – 02/04
All quizzes and assignments still due
Readings – Big Data: The Management Revolution
Readings Quiz 05 - BDTMR

15. Read – Gartner’s Business Analytics Framework
Readings Quiz 06 - GABF
Assignment 03 - SQL Queries with Math and Aggregates
Assignment Quiz 03
Week 04 – 02/11

16. Readings – Business Analytics Technology
8
Date
Topic
Readings Quiz 07 - BAT
Assignment 04 - SQL Data Tools Tutorials
Assignment Quiz 04 – Exam 01 Assignment Review
Practice Exam for Exam Next Week!
Week 05 – 02/18

17. Exam 01
Assignment 05 – Kinds of Customers
Assignment Quiz 05
Week 06 – 02/25
Readings – Data Visualization for Human Perception
Readings Quiz 08 - DVHP
Readings – Data Visualization Analyst
Readings Quiz 09 - DVA
Assignment 06 – Product Profitability

18. Assignment Quiz 06
Week 07 – 03/04
Readings – Data Visualization Value
Readings Quiz 10 - DVV
Readings – Data Warehouse Concepts
Readings Quiz 11 - DWC
Assignment 07 – Retail Sales versus Wholesale Sales
Assignment Quiz 07
Week 08 – 03/11

19. Readings – Data Warehouse Process
Readings Quiz 12 - DWP
Readings – Data Warehouse Logical Design
Readings Quiz 13 - DWL
Assignment 08 – Order Prices and Discounts
Assignment Quiz 08
Practice Exam for Exam Next Week!
9
Date
Topic

20. Week 09 – 03/18
Spring Break – No Class and No Assignments
Week 10 – 03/25
Readings – State of ETL
Readings Quiz 14 - STETL
Readings – Surrounding ETL

21. Readings Quiz 15 - SRETL
Assignment 09 – Data Warehouse Mapping
Assignment Quiz 09
Week 11 – 04/01
Exam 02
Assignment 10 – Explain Losses

22. Assignment Quiz 10
Week 12 – 04/08
Readings – Data Mining Techniques
Readings Quiz 16 - DMT
Readings – NSA Data Mining

23. Readings Quiz 17 - NSADM
Assignment 11 – Data Mining Tutorial
Assignment Quiz 11
Week 13 – 04/15
Readings – Credibility in Analytics
Readings Quiz 18 - CREDA

24. Readings – Credibility in Communication
Readings Quiz 19 - CREDC
Assignment 12 – Data Points and Story Points
Assignment Quiz 12
Week 14 – 04/22

25. Readings – Big Data Ethics
Readings Quiz 20 - BDE
Readings – What’s Up With Big Data Ethics
10
Date
Topic
Readings Quiz 21 - WUWBDE
Assignment 13 – Identify Recommendations

26. Assignment Quiz 13
Practice Exam for Exam Next Week!
Week 15 – 04/29
Assignment 14 – Professional Report
Exam 03

27. Week 16 – 05/06
Monday last day of class. No assignments this week.
Final Exam
There is no final exam for this course
11
Data Analysis and Visualization
Spring 2019
Preferred method of communication is Blackboard E-mail if you
haven’t heard back from me within 24 hours, please feel free to
resend your email in case the first has gotten lost or corrupted.
If you use UALR email, make sure that you put “BINS 3352” in
the subject line.
Course Description:
Development of analytical, data visualization and reporting, and
collaboration skills necessary for success in a data-driven

28. business environment. Focus on cutting-edge technologies in a
business context.
Course Prerequisites:
IT Competency Exam. You will not receive graduation credit
for this course unless you have completed 54 hours of credit and
the course prerequisites prior to enrolling in this course.
Course Materials (Required Texts/Software):
· Parsons, J., Oja, D., and Carey, P. (2016). New Perspectives
Office 365 and Excel 2016 Comprehensive. Cengage. ISBN #
9781305880405
· Shaffer, A. and Pinard, K. (2016). New Perspectives Office
365 and Word 2016 Introductory. Cengage. ISBN
#9781305880955
· SAM for Microsoft Office 365 and Office 2016 (Assessment
Training and Projects). Cengage (e-training package). ISBN
#9781305885172
· Office 365 Pro Plus with 2016 Apps (64-bit version).
Available for download FREE from
UALR
NOTE: Since this course uses Cengage textbooks, a VERY
discounted purchasing plan isavailable for you
(https://www.cengage.com/unlimited). You can purchase
Cengage Unlimited at $119.99 (for 4 months) and have access
to all your Cengage online textbooks and electroniccompanions,
such as SAM, which is required for this course. Each access
code entitles you to RENT ONE print textbook for $7.99 + free
shipping.
Page 1 of 8
You can also purchase the Cengage Unlimited Code from UALR

29. bookstore. When you access SAM (see instructions in
Blackboard), register with“Wang - BINS 3352 03 (Spring
2019)”usingyour purchased code. You should rent the Excel
book (for $7.99) since you will need the print copy as you work
through the course. You can use the digital copy of the Word
book, which we will not use too much.
Course Objectives:
Upon completion of the course, students are expected to be able
to:
· To effectively design spreadsheets for long-term viability
· To apply Excel functions and analysis tools to business
problem solving and critical thinking scenarios
· To use advanced Excel tools for data analysis
· To critically analyze appropriateness of data analysis
techniques
· To use visualization tools for business communication and
reporting
· To communicate effectively in a virtual environment
Tentative Course Schedule:
Week
Date
Topic
Notes
1
1/22
Introduction
Read EX M1
1/24
Getting Started with Excel

30. 2
1/29
Formatting Workbook Text and Data (1)
Read EX M2.1; HW1 available
1/31
Formatting Workbook Text and Data (2)
Read EX M2.2
2/5
Calculating Data with Formulas and
Read EX M3.1;
Functions (1)
HW1 due; HW2 available
3
2/7
Calculating Data with Formulas and
Read EX M3.2

31. Functions (2)
2/12
Analyzing and Charting Financial Data (1)
Read EX M4.1;
4
HW2 due; HW3 available
2/14
Analyzing and Charting Financial Data (2)
Read EX M4.2
2/19
Working with Excel Tables, PivotTables,
Read EX M5.1/2;
and PivotCharts (1)
HW3 due; HW4 available
5

32. 2/21
Working with Excel Tables, PivotTables,
Read EX M5.2/3
and PivotCharts (2)
2/26
Managing Multiple Worksheets and
Read EX M6.1/2;
Workbooks (1)
HW4 due; HW5 available
6
2/28
Managing Multiple Worksheets and
Read EX M6.2/3

33. Workbooks (2)
7
3/5
Developing an Excel Application (1)
Read EX M7.1/2; HW5 due
3/7
Mid-term Exam Review
8
3/12
Midterm Exam
3/14
Developing an Excel Application (2)
Read EX M7.2/3; HW6 available
9
3/19
Spring Break – No classes

34. 3/21
3/26
Working with Advanced Functions (1)
Read EX M8.1/2;
10
HW6 due; HW7 available
3/28
Working with Advanced Functions (2)
Read EX M8.2/3
11
4/2
Exploring Financial Tools and Functions (1)
Read EX M9.1/2;
HW7 due; HW8 available

35. Page 2 of 8
4/4
Exploring Financial Tools and Functions (2)
Read EX M9.2/3
4/9
Performing What-If Analyses (1)
Read EX M10.1/2;
12
HW8 due; HW9 available
4/11
Performing What-If Analyses (2)
Read EX M10.2/3
4/16
Analyzing Data with BI (1)
Read EX M11.1/2;
13
HW9 due; HW10 available

36. 4/18
Analyzing Data with BI (2)
Read EX M11.2/3
4/23
Creating a Document
Read WD M1
14
HW10 due; Project available
4/25
Formatting a Document
Read WD M2
15
4/30
Creating Tables and a Multipage Report
Read WD M3
5/2
Final Exam review
Project due (5/9/19)
16

37. 5/14
Final Exam
Note that: HW assignments and deadlines are subject to
changes. Please follow the deadlineposted along with each
assignment.
Course Evaluation and Grades:
Grades will be assessed on required activities throughout the
semester. These include 10 homework assignments, 1 project,
and the midterm and final exams as well as class participation.
The weight of each item reads as follows:
Item
Weight
Homework assignments
40%
Project
10%
Class participation
5%
Midterm exam
20%
Final exam
25%
Grade Scale:
A: 90~100%, B: 80~89%, C: 70~79%, D: 60~69%, F: ≤ 59
Your final grade will be based on the total points earned on the
above listed items. The final grading scale may be curved. The
instructor may choose to modify the policy depending on the
class average and variance (i.e., exceptionally good/poor
performance).

38. Course Requirements:
Class Participation is expected.Attendance will be taken each
class. In case you have to miss aclass, a request with a valid
reason should be sent to the instructor before the class. Students
are responsible for being aware of all the announcements,
requirements and deadlines. Missing a class without a proper
reason will result in losing class-participation points.
Assignments: your homework has to be based on
yourindividualefforts! Discussion for thepurpose of
understanding a problem is encouraged. However, any solution
must be your own and original work. Copying others’ work or
materials on the Internet is not allowed. Late submissions will
result in a 20% penalty per day up to 3 days after the due date.
Page 3 of 8
NOTE: When completing SAM projects, you must complete the
project using the file youdownload from your SAM account. If
you upload for grading a file downloaded by another student,
the submission will be flagged; you will receive no credit.
Using another student’s file is cheating!
Project: this is a mini-project for eachindividualstudent. Each
student will be asked to developan Excel application and write a
short report. Any solution must be your own and original work.
Since the project is due by the end of the semester, NO late
submissions will be accepted.
Exams: A make-up exam can be requested in case of illness,
mandatory religious obligations, orother unavoidable or special
circumstances. Please see the instructor to discuss any special
circumstances. You must receive permission to take an exam at
a different time at least two weeksprior to the scheduled exam
date, or have a documented and verifiable emergency.

39. Anotherexam/project in the same week will not be considered a
special circumstance. No make-up exam will be given after the
scheduled exam date.
Students who need extra time or special testing procedures due
to a disability or language barrier must make prior arrangements
with the instructor.
Course Expectations:
The following ground rules will help your work in this course to
go much more smoothly. Please carefully review these
expectations and follow them.
1. Academic integrity will be appraised according to the student
academic behavior standards outlined in University Policies,
Rules and Regulations of University of Arkansas at Little
Rock’s Student Handbook. See
http://www.ualr.edu/deanofstudents for further details;
2. Keep up with your assignments and project. Please read the
chapter assigned for each class prior to the class, and meet the
deadlines for all assignments and the project. Students who
keep up tend to perform much better in the class;
3. Don’t miss an exam. Missed exams will not be retaken unless
prior arrangements have been made with the instructor;
4. All cell phones should be off or on silent mode in class, and
no smart phones can be used for any in-class exams;
5. For email communication, please include the course number
(BINS 3352) in the subject line. Emails without the course
number in the subject line may result in late response;
6. You are expected to be in attendance for the duration of each

40. class unless you have obtained prior permission from the
instructor.
Page 4 of 8
Integrity Statement:
Academic Integrity and Grievance Policy. The university has
developed certain regulations tomake possible an orderly
academic environment where all members of the community
have the freedom to develop to the fullest extent. Academic
dishonesty cannot be condoned or tolerated in the university
community. Such behavior is considered a student conduct
violation and students found responsible of committing an
academic offense on the campus, or in connection with an
institution-related or sponsored activity, or while representing
the university or academic department, will be disciplined by
the university. Students may not gain undue advantage over
their classmates by deceptive or dishonest means.
Throughout their education, students should be impressed with
the facts that cheating, duplicity, unauthorized reproduction of
classroom materials, and plagiarism are morally degrading and
that such practices seriously interfere with learning and
intellectual development. It is a responsibility of faculty
members to make every effort to prevent dishonesty, protect
honest students, and take appropriate action in instances of
dishonesty.
It is the responsibility of the student not only to abstain from
cheating, but in addition to avoid the appearance of cheating
and to guard against making it possible for others to cheat.
Courtesy and honesty require that any ideas or materials
borrowed from another must be fully acknowledged. It is the
obligation of each student to report all alleged violations of
academic integrity to the dean of students or designee.

41. Students may not reproduce, in whole or in part, classroom
lectures or study materials presented by a professor without
specific advance approval by the professor. Publication of any
such material shall only be with the express consent of the
professor.
The determination that a student’s work was the result of
dishonest action can be considered in the faculty member’s
evaluation of that work and in the determination of the course
grade. In addition, disciplinary action will be taken by the
appropriate university official, e.g., dean of students, or by the
Academic Integrity and Grievance Committee.
Academic Offenses. University regulations regarding academic
dishonesty, as set forth in theUALR student handbook and other
university documents and publications will be strictly enforced
in this class. In accordance with Section VI: Statement of
Student Behavior, under the code of student rights,
responsibilities, and behavior, the university defines academic
offenses under the
Page 5 of 8
NOTE: Academic dishonesty in this class may result in
disciplinary sanction and WILL bereported to the office of the
dean of students.
Cheating on an examination or quiz: Cheating is defined as to
give, receive, offer, or solicitinformation on any quiz or
examination. This includes the following classes of dishonesty:
· Copying from another student’s paper;
· Use during the examination of prepared materials, notes, or
text other than those specifically permitted by the professor;
· Collaboration with another student during the examination;

42. · Buying, selling, stealing, soliciting, or transmitting an
examination, or any material purported to be the unreleased
content of a coming examination, or the use of such material;
· Substituting for another person during an examination or
allowing such substitution for oneself;
· Bribery of any person to obtain examination information.
Plagiarism: Plagiarism is to adopt and reproduce as one's own,
to appropriate to one's own useand incorporate in one's own
work without acknowledgement, the ideas or passages from the
writings and works of others. If you use someone else’s words
or ideas without crediting them, you a committing plagiarism.
To avoid plagiarism, simple cite the work used and, if directly
quoting something, put quotation marks and the page number.
See Purdue OWL https://owl.english.purdue.edu/owl/section/2/
and videos about specific topics at
https://www.youtube.com/user/OWLPurdue.
Collusion: Collusion is to obtain from another party, without
specific approval in advance by theprofessor, assistance in the
production of work offered for credit to the extent that the work
reflects the ideas or skills of the party consulted rather than
those of the person in whose name the work is submitted.
Duplicity: Duplicity is to offer for credit identical or
substantially unchanged work in two or morecourses without
specific advance approval of the professor(s) involved.
NOTE: Sharing homework files whether they are complete or
works in process that are not yourown is considered cheating.
You may discuss homework and help each other; but the
assignments submitted must have been totally completed
yourself (all text/data/formulas keyed by YOU!).
When completing SAM projects, you must submit your own file;
if the file has been previously submitted by another student, it
will be marked for “cheating.” When you complete projects or
take exams for which you are provided a file, you must

43. complete all work on that file and resubmit that file for grading.
Page 6 of 8
On exams you should seek/get assistance from NO ONE -- this
policy includes using any previously prepared files, getting
tutoring relating to the exam, etc. Exams must be all your own
work. No exceptions.
Nondiscrimination:
UALR adheres to a policy that enables all individuals,
regardless of race, color, gender, national origin, age, sexual
orientation, veteran’s status, or disability to work and study in
an environment unfettered by discriminatory behavior or acts.
Harassment of an individual or group will not be condoned and
any person – student, faculty, or staff member – who violates
this policy will be subject to disciplinary action.
Inclement Weather Policy:
During inclement weather, UA Little Rock will make a decision
whether or not to close based on all available information.
· The chancellor will decide whether or not conditions warrant
canceling classes and activities and closing the campus or
whether classes and activities will be canceled but with
specified campus offices open. Online or web-enhanced classes
will continue as scheduled at the discretion of the faculty
member.
· When necessary, the university will announce a separate
decision about canceling night classes (those classes starting at
4:20 p.m. or later) by 2 p.m., if possible.
· Ordinarily, sites remote from campus such as the the Bowen
Law School, the Arkansas Studies Institute, and the Benton
Center will close or cancel classes and activities whenever the

44. university does so. In some circumstances, however, a separate
decision may be made whether or not a site remote from campus
will be open or closed, and this decision will be announced
through the university’s official means of communicating
weather-related closings.
· Vice chancellors are responsible for seeing that necessary
services are provided in their respective areas when the
university is closed. Employees required to provide such
services will be identified by their supervisors. Classified
employees who must report to work when
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the university is closed due to inclement weather will be
allowed compensation time of 1.5 hours for one hour worked.
Persons who are not required to work when the university is
closed will be granted authorized absence. Employees who do
not report to work when the campus is open will be charged
annual/compensatory leave or leave without pay. The Payroll
Department will prescribe payroll reporting and timekeeping.
· The Policy Advisory Council of the University Assembly will
recommend to the chancellor if and when missed undergraduate
and graduate class days should be made up. In the event that the
university is closed during a final examination day, the provost,
in consultation with the Faculty Senate president, will
reschedule any missed graduate or undergraduate final
examinations with the exception of online exams which will
continue as scheduled.
· Weather and road conditions vary from place to place.
Employees and students are expected to exercise good judgment
regarding the safety of travel when road conditions are affected
by the weather.
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