EASTERN MICHIGAN UNIVERSITY
DIVISION OF ACADEMIC AFFAIRS
TYPE OF REVISION: (CHECK ALL THAT APPLY.)
Course Number/Subject Code
Course Title
REQUEST FOR COURSE REVISIONS
Credit Hours
Course Description
Prerequisite/Corequisite
Restriction
DEPARTMENT/SCHOOL: _COMPUTER INFORMATION SYSTEMS___COLLEGE: COLLEGE OF BUSINESS
CONTACT PERSON: _______STEVAN MRDALJ_________________________________________________
CONTACT PHONE: __________7-2671___________________________CONTACT EMAIL:
SMRDALJ@EMICH.EDU
REQUESTED START DATE: TERM____FALL_________YEAR_____2016______
DIRECTIONS: COMPLETE SECTION A AND SECTIONS B1a, B2a, B3a B4a, B11, B12 AND B13. COMPLETE ONLY THE REMAINING PARTS OF
SECTION B THAT CONCERN THE REVISIONS CHECKED ABOVE. FOR ASSISTANCE CONTACT THE COURSE AND PROGRAM DEVELOPMENT
OFFICE.
A. Rationale for Revision:
The newly created multidisciplinary program Data Science and Analytics (DSA) requires in depth coverage of the data
warehousing and data mining with two separate courses. The CIS Department as a participant in this program will
accommodate such request by dividing an existing course IS 410 Business Intelligence which currently covers both
data warehousing and data mining areas into two courses IS 385 Data Warehousing and IS 410 Data Mining.
B. Course Information
1. a) Current Subject Code and Course Number: IS 410
b) (If new) Proposed Subject Code and Course Number:
2. a) Current Course Title: Business Intelligence
b) (If new) Proposed Course Title: Data Mining
3. a) Current Credit Hours:3 credits
b) (If new) Proposed Credit Hours
c) (If new) Briefly describe how the increase/decrease in credit hours will be reflected in course content.
4. a) Current Catalog Description:
Business intelligence is the user-centered iterative process of accessing data (ideally stored in the data warehouse) and
analyzing it to derive insights, draw conclusions and communicate finding that support an enterprise’s decision-making
processes. This course includes topics that discuss technologies and applications for front-end analytical tools, onreport analysis, ad hoc query and reporting, data warehouse, online analytical processing, enterprise portals, data
visualization and data mining.
Miller, Course Revision,
Sept. 09
b) (If new) Proposed Catalog Description (Limit to approximately 50 words):
Business analytics is the user-centered iterative process of accessing data (ideally stored in the data warehouse) and
analyzing it to derive insights, draw conclusions and communicate findings that support an enterprise’s decisionmaking processes. This course includes topics that discuss technologies and applications for front-end analytical
tools, data mining, on-report analysis, ad hoc query and reporting, online analytical processing, enterprise portals,
and data visualization.
5. Method of Delivery (Check all that apply.)
Current
Proposed
a. Standard (lecture/lab) x
a. Standard (lecture/lab)
On Campus x
Off Campus
On Campus x
b. Fully Online
b. Fully Online
c. Hybrid
c. Hybrid
Off Campus
6. Grading Mode
Current
Normal (A-E)
Proposed
x
Credit/No Credit
Normal (A-E)
x
Credit/No Credit
7. (Complete only if prerequisites are to be changed.) List Current and Proposed Prerequisite Courses by subject code, number and title.
Students must complete prerequisites before they can take this course.
Current:
Proposed:
IS380 (Introduction to Databases)
IS380 (Introduction to Databases) or 385 (Data Warehousing)
8. (Complete only if corequisites are to be changed) List Current and Proposed Corequisite Courses by subject code, number and title.
Students must take corequisite courses at the same time as they are taking this course.
Current:
Proposed:
9. (Complete only if concurrent prerequisites are to be changed.) List Current and Proposed Concurrent Prerequisite Courses by subject
code, number and title. Students must take concurrent prerequisites either before or at the same time as they are taking this course.
Current:
Proposed:
10. (Complete only if course restrictions are to be changed. Complete only those sections that pertain to the restrictions that are to be
changed.) List Current and Proposed Course Restrictions. Course Restrictions limit the type of students who will be allowed to take the
course.
Miller, Course Revision
Sept, ‘09
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a. Restriction by College: Check if course is restricted to those admitted to specific college.
Current
Proposed
College of Business:
College of Business:
College of Education:
College of Education:
b. Restriction by Majors/Programs: Check if course is restricted to those in specific majors/programs.
Current
Proposed
Yes
Yes
No
No
If “Yes”, list the majors/programs
c. Restriction by Academic/Class Level: Check all those who will be allowed to take the course as part of their academic program.
Undergraduate
Current
All Undergraduates
Freshperson
Sophomore
Junior
Senior
Second Bachelor
Post. Bac. Tchr. Cert.
Proposed
All Undergraduates
Freshperson
Sophomore
Junior
x
Senior
x
Second Bachelor x
Post. Bac. Tchr. Cert.
Graduate
Current
All Graduates
Certificate
Master’s
Specialist
Doctoral
UG Degree Pending
Low GPA Admit
Proposed
All Graduates
Certificate
Master’s
Specialist
Doctoral
UG Degree Pending
Low GPA Admit
Note: If this is a 400-level course to be offered for graduate credit, attach Approval Form for 400-level Course for Graduate
Credit. Only “Approved for Graduate Credit” undergraduate courses may be included on graduate programs of study.
Note: Only 500-level graduate courses can be taken by undergraduate students. Undergraduate students may not register for
600-level courses
d. Departmental Permission: (Note: Department permission requires the department to enter authorization for every student
registering.)
Current
Yes
No
Proposed
x
Yes
No
x
11. List all departmental programs in which this course is Required or a Restricted Elective.
Program
CIS
Miller, Course Revision
Sept, ‘09
Required
Restricted Elective ___x___
Page 3 of 10
Program
Required
12. Is this course required by programs in other departments?
Yes
x
Restricted Elective ______
No
New Data Science and Analytics program
13. If “Yes”, do the affected departments support this change?
Yes
x
No
If “Yes”, attach letters of support. If “No”, attach letters from the affected department explaining the lack of support, if available.
14. Will the proposed revision increase/decrease credit hours in any program? Yes
No
x
If “Yes”, list the programs and provide an explanation for the increase/decrease, along with a copy of the revised program that includes the new
credit hour total.
C. Action of the Department/School and College
1. Department/School
Vote of faculty:
LaVerne Higgins
For _____8_____
Against ____1______
Abstentions __________
(Enter the number of votes cast in each category.)
9/28/2015
Department Head/School Director Signature
Date
2. College
College Dean Signature
Date
3. Graduate School (if Graduate Course)
Graduate Dean Signature
Date
D. Approval
Associate Vice-President for Academic Programming Signature
Miller, Course Revision
Sept, ‘09
Date
Page 4 of 10
Eastern Michigan University Computer Information Systems Department IS410 – Data Mining < Semester > Three Credit Hours GENERAL INFORMATION PROFESSOR: OFFICE: TELEPHONE: E-­‐MAIL: OFFICE HOURS: Others by appointment. TEXTBOOK All books are available at Book24/7 (http://etraining.emich.edu) 1. Data Analysis and Data Mining using Microsoft Business Intelligence Tools: Excel 2010,
Access 2010, and Report Builder 3.0 with SQL Server
Robert S. Bussom Ph.D
Publisher: ZeroBits (August 29, 2012)
ISBN-10: 0985742836 ISBN-13: 978-0985742836
2. Excel 2013 Bible
Author: John Walkenbach
Publisher: John Wiley & Sons © 2013
ISBN: 9781118490365
LECTURE NOTES: EMU-­‐Online at http://canvas.emich.edu SOFTWARE: • Microsoft SQL Server 2014 • Microsoft Excel 2013/2010 and Data Mining Client for Excel (Microsoft SQL Server 2012 Data Mining Add-­‐Ins for Office 2010/2013) COURSE DESCRIPTION Business analytics is the user-­‐centered iterative process of accessing data (ideally stored in the data warehouse) and analyzing it to derive insights, draw conclusions and communicate findings that support an enterprise’s decision-­‐making processes. This course includes topics that discuss technologies and Miller, Course Revision
Sept, ‘09
Page 5 of 10
applications for front-­‐end analytical tools, data mining, on-­‐report analysis, ad hoc query and reporting, online analytical processing, enterprise portals, and data visualization. PREREQUISITES IS380 Introduction to Databases or 385 Data Warehousing COURSE OBJECTIVES At the end of the course, a student will be able to: 1. Understand the role of data in supporting management decision making. 2. Understand how to describe and explain business reporting systems. 3. Develop interactive business reports. 4. Apply data mining techniques to organizational data. 5. Understand data mining technologies and its applications in business. 6. Knowledge on how to select and use data mining techniques (appropriate data mining algorithms). 7. Apply data mining tools and techniques to business data. 8. Develop a business intelligence application. 9. This course includes the identification of business problem(s) and demonstrates business applications through the use of assignments, case studies, and projects. COURSE OUTLINE The following is a tentative schedule of topics and assignments to be covered in this course: Week Topic Activity Tx 1 1 Introduction to Data Mining Ch. 1, 2 2 Multidimensional data storage Demo Ch. 3 3 Front-­‐end analytical tools – Pivot Table Lab 1 Ch. 5, 6 4 Online analytical processing Lab 2 App. D 5 Applied Data Mining – Data Correlation Lab 3 Ch. 9, 10 6 Project 1 7 Detect Categories/Clustering Lab 4 Ch. 9, 10 8 Exception Analysis Lab 5 Ch. 9, 10
9 Classification & Decision Trees Lab 6 Ch. 9, 10
10 Project 2 11 Association Analysis Lab 7 Ch. 9, 10
12 Forecasting Lab 8 Ch. 9, 10, 8
13 Prediction Scoring Lab 9 Ch. 9, 10
14 Scenario Analysis Lab 10 Ch. 9, 10
15 Project 3 TEACHING METHODS: 1. Lectures: Important material from the text and outside sources will be covered in class. Students should plan to take careful notes as not all material can be found in the texts or readings. Students are encouraged to contribute relevant material and examples. Miller, Course Revision
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2.
Lab activities: Designed to help students gain hands-­‐on skills in using a variety of development tools. 3.
Exams: The exams will be closed book/note and will test assigned readings and material discussed in class. The second exam will not be comprehensive in nature. However, the instructor reserves the right to retest on material that was not appropriately comprehended. 4.
Lab projects: The lab projects will involve building the OLAP cube and Data Mining application. METHOD OF EVALUATION Two tests (100 points each) Three projects (100 points each) 10 Lab exercises (20 points each)* Total 200 points 300 points 200 points 700 points * Tentative. The number of exercises may be changed. GRADING SCALE Letter grades will be assigned only at the end of the term when the sum of all grades has been recorded. There is a predefined range of numerical scores, which automatically implies a particular letter grade. % Grade 60-­‐
62-­‐
68-­‐
70-­‐
72-­‐
78-­‐
80-­‐
82-­‐
88-­‐
90-­‐
92-­‐
61.99 67.99 69.99 71.99 77.99 79.99 81.99 87.99 89.99 91.99 100 D-­‐ D D+ C-­‐ C C+ B-­‐ B B+ A-­‐ A Individual student's grade may deviate from the above computed grade. This grade deviation is a result of the instructor's PERCEPTION of student's performance and participation in the classroom discussion, project and homework. COURSE POLICIES: Class attendance is required because of the in class Lab exercises. The student is responsible for obtaining material, which may have been distributed on class days when he/she was absent. This can be done through contacting a classmate who was present or by contacting the instructor during his office hours. Active participation is required and using electronics for non-­‐course related activities are not allowed. Any uncoordinated, unexcused missed Lab will result in a score of 0 for that Lab. Only students missing Labs due to a pre-­‐arranged, excused absence (timely presentation of a written request accompanied by verifying evidence is required) will be allowed to have a makeup Labs. A score of zero will be entered for any student who fails to take a test at the scheduled time. However, when extenuating and documented circumstances are present, the instructor may, at his discretion, provide an alternative assessment of the student's proficiency in the subject matter covered by the test. Poor weather conditions are no excuse for missing a lab or an exam. A grade of incomplete will not be given unless conditions contemplated by the specific University-­‐wide policy are present. No other excuse for requesting an incomplete will be accepted as being valid. Miller, Course Revision
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University Policy Statements r Academic Dishonesty: “Academic dishonesty, including all forms of cheating, falsification, and/or plagiarism, will not be tolerated in this course. Penalties for an act of academic dishonesty may range from receiving a failing grade for a particular assignment to receiving a failing grade for the entire course. In addition, you may be referred to the Office of Student Judicial Services for discipline that can result in either a suspension or permanent dismissal. The Student Conduct Code contains detailed definitions of what constitutes academic dishonesty but if you are not sure about whether something you are doing would be considered academic dishonesty, consult with the course instructor. You may access the Code online at www.emich.edu/sjs.” r Special Needs Accom m odations: “If you wish to be accommodated for your disability, EMU Board of Regents Policy #8.3 requires that you first register with the Access Services Office (ASO) in 203 King Hall. You may contact ASO by telephone at 734.487.2470. Student with disabilities are encouraged to register with ASO promptly as you will only be accommodated from the date you register with them forward. No retroactive accommodations are possible.” r Religious Holidays: Current University policy recognizes the rights of students to observe religious holidays without penalty to the student. Students are to provide advance notice to the instructor in order to make up work, including examinations that they miss as a result of their absence from class due to observance of religious holidays. If satisfactory arrangements cannot be made, the student may appeal to the head(s) of the department(s) in which the course(s) is/are offered.) r Classroom M anagem ent: “Students are expected to abide by the Student Conduct Code and assist in creating an environment that is conducive to learning and protects the rights of all members of the University Community. Incivility and disruptive behavior will not be tolerated and may result in a request to leave class and referral to the Office of Student Judicial Services (SJS) for discipline. Examples of inappropriate classroom conduct include repeatedly arriving late to class, using a mobile /cellular phone while in the class session, or talking while others are speaking. You may access the Code online at: www.emich.edu/sjs.” r Student and Exchange Visitor Statem ent (SEVIS): “The Student Exchange Visitor Information System requires F and J students to report the following to the Office of International Students, within ten (10) days of the event: •
Change in name, current address of residence, academic status (full or part-­‐time enrollment), date of program completion, program/major change, level change (undergraduate to graduate), change in funding source (employment or graduate assistant position). •
Intent to transfer to another university. •
Probation or disciplinary action due to a criminal conviction. In accordance with new federal regulation, these must be reported to the EMU Office of International Students (OIS), EMU Student Center within 10 days of occurrence; failure to do so may result in arrest and deportation. You may not drop or withdraw from a course without OIS approval. If you have questions or concerns, contact the OIS at (734)487-­‐3116, not your instructor. Miller, Course Revision
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COB Mission and Ethos The College of Business Mission Statement EMU’s College of Business (COB) provides an academic learning environment that fosters innovative, applied and global business programs. It supports the economic development of southeastern Michigan by preparing graduates to perform effectively in a “knowledge and information age” business world shaped by a global economy. EMU’s COB endeavors to develop business leaders to understand and use innovative approaches to address the forces shaping their environment as they create and manage businesses with the highest ethical standards. The College focuses first and foremost on teaching and learning. Faculty conduct research primarily applied in nature which supports the overall learning experience. The College values, supports and encourages service to and interaction with the greater community. The College of Business Ethos Statement: The College of Business students, faculty and staff comprise a professional, interdependent community committed to perfecting responsible, ethical business professionals to serve business and the wider world. Through a positive learning experience mirroring the business world’s best aspects, the community respects the group’s common mission and the individuals comprising it. Community members foster the COB ethos through behavior growing from six interrelated values: 1) Integrity —Integrity is practicing in all areas of life what we profess to believe. It is commitment to professional standards in the whole person. 2) Honesty —Honesty requires respect for the truth; it means being truthful, sincere, and straightforward. 3) Trustworthiness —Growing out of integrity and honesty, trustworthiness is the confidence others have that we mean what we say; we can be counted on. 4) Respect —Respect is deference or esteem for what we value. We recognize others’ worth as ends, not means. Respect is key to our other values. 5) Learning —We value learning as an end in itself and as a practical tool for success in lifelong professional growth. We gain up-­‐to-­‐date, practical and theoretical knowledge through effective, often participative learning and research. 6) The Work Ethic —We practice self reliance and responsibility to our business profession and community. We are industrious and often self supporting. Professional Statement
In addition to our conducting business ethically, we manifest the values in the Ethos Statement by our:
1. Competency - We continuously strive to achieve mastery of the knowledge and skills required by our chosen
professional area.
2. Modeling - We practice our professional knowledge and skills to help the organization and its members
similarly reach and maintain high professional standards.
3. Initiative - We are ready to take on tasks and follow through with them when appropriate. We willingly accept
roles within the organization as we both lead and follow.
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4. Responsibility - We recognize and practice the duties called upon by our position and accept accountability for
the outcome. In doing so, we practice our fiduciary responsibility to protect the stakeholders and assets of the
organization.
5. Self-esteem - We have high expectations of ourselves and take personal pride in the high quality of our work,
yet balance confidence with humility.
6. Cultural Awareness - We are able to look outside ourselves to be aware of the values and customs of the
organization’s culture and our place within it.
7. Interpersonal skills - We develop and demonstrate constructive and effective interactions with others both
inside and outside the organization both through our behavior and through mastery of oral and written
communication skills.
8. Empathy - We strive to understand and respect the other stakeholders in our work environment.
9. Professional Development - We recognize that professionalism is an ongoing process of improvement. To that
end, we seek and accept feedback willingly, and thereby grow as we modify behavior where needed.
10. Loyalty - Within the bounds of our own integrity, we recognize our duty to support the reputation of the
organization and our co-workers through what we say within the organization and elsewhere. We respect
confidentiality.
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