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Viewing: BUS 351 : Predictive Analytics for Business

Last approved: Thu, 18 May 2017 08:02:10 GMT

Last edit: Thu, 18 May 2017 08:02:10 GMT

Change Type
Major
BUS (Business Management)
351
032463
Dual-Level Course
Cross-listed Course
No
Predictive Analytics for Business
Pred Analytics for Bus
Poole College of Management
Business Management (20BUS)
Term Offering
Fall and Spring
Offered Every Year
Fall 2017
Previously taught as Special Topics?
No
 
Course Delivery
Face-to-Face (On Campus)

Grading Method
Graded with S/U option
3
16
Contact Hours
(Per Week)
Component TypeContact Hours
Lecture3
Course Attribute(s)


If your course includes any of the following competencies, check all that apply.
University Competencies

Course Is Repeatable for Credit
No
 
 
TBD
TBD

Open when course_delivery = campus OR course_delivery = blended OR course_delivery = flip
Enrollment ComponentPer SemesterPer SectionMultiple Sections?Comments
Lecture45090YesLikely 5 sections of 90 students per semester
Open when course_delivery = distance OR course_delivery = online OR course_delivery = remote
Prerequisites: BUS 340 and BUS/ST 350; Corequisite: ST 307
Is the course required or an elective for a Curriculum?
No
This course builds on BUS/ST 350 with an emphasis on the application of statistical methods using software. The course uses analytical methods and tools to drive actionable business decisions. Students will be exposed to a variety of statistical and machine learning methods including linear regression, logistic regression, classification trees, clustering techniques, monte carlo simulation and statistical forecasting.

Data analytics are becoming an increasingly important aspect of the business decision-making process. This course provides students with additional exposure to statistical methods as well as giving them the tools to use data to illustrate and solve problems. Adding this course to the curriculum should help Poole produce students stay competitive in pursuing jobs and internships.


No

Is this a GEP Course?
No
GEP Categories

Humanities Open when gep_category = HUM
Each course in the Humanities category of the General Education Program will provide instruction and guidance that help students to:
 
 

 
 

 
 

 
 

 
 

 
 

Mathematical Sciences Open when gep_category = MATH
Each course in the Mathematial Sciences category of the General Education Program will provide instruction and guidance that help students to:
 
 

 
 

 
 

 
 

Natural Sciences Open when gep_category = NATSCI
Each course in the Natural Sciences category of the General Education Program will provide instruction and guidance that help students to:
 
 

 
 

 
 

 
 

Social Sciences Open when gep_category = SOCSCI
Each course in the Social Sciences category of the General Education Program will provide instruction and guidance that help students to:
 
 

 
 

 
 

 
 

 
 

 
 

Interdisciplinary Perspectives Open when gep_category = INTERDISC
Each course in the Interdisciplinary Perspectives category of the General Education Program will provide instruction and guidance that help students to:
 
 

 
 

 
 

 
 

 
 

 
 

 
 

 
 

Visual & Performing Arts Open when gep_category = VPA
Each course in the Visual and Performing Arts category of the General Education Program will provide instruction and guidance that help students to:
 
 

 
 

 
 

 
 

 
 

 
 

Health and Exercise Studies Open when gep_category = HES
Each course in the Health and Exercise Studies category of the General Education Program will provide instruction and guidance that help students to:
 
 

 
 

 
 

 
 

 
&
 

 
 

 
 

 
 

Global Knowledge Open when gep_category = GLOBAL
Each course in the Global Knowledge category of the General Education Program will provide instruction and guidance that help students to achieve objective #1 plus at least one of objectives 2, 3, and 4:
 
 

 
 

 
Please complete at least 1 of the following student objectives.
 

 
 

 
 

 
 

 
 

 
 

US Diversity Open when gep_category = USDIV
Each course in the US Diversity category of the General Education Program will provide instruction and guidance that help students to achieve at least 2 of the following objectives:
Please complete at least 2 of the following student objectives.
 
 

 
 

 
 

 
 

 
 

 
 

 
 

 
 

Requisites and Scheduling
 
a. If seats are restricted, describe the restrictions being applied.
 

 
b. Is this restriction listed in the course catalog description for the course?
 

 
List all course pre-requisites, co-requisites, and restrictive statements (ex: Jr standing; Chemistry majors only). If none, state none.
 

 
List any discipline specific background or skills that a student is expected to have prior to taking this course. If none, state none. (ex: ability to analyze historical text; prepare a lesson plan)
 

Additional Information
Complete the following 3 questions or attach a syllabus that includes this information. If a 400-level or dual level course, a syllabus is required.
 
Title and author of any required text or publications.
 

 
Major topics to be covered and required readings including laboratory and studio topics.
 

 
List any required field trips, out of class activities, and/or guest speakers.
 

College(s)Contact NameStatement Summary
College of SciencesConversations were conducted with the interim department head in Statistics. This course will eventually be cross-listed, but the Business Management department will staff the course.
No additional faculty resources will be needed. Business Management is revising the delivery methods for other courses they offer to reduce faculty resources necessary for those courses, and can apply the freed up faculty time to teach BUS 351.

Student Learning Outcomes

  • Demonstrate an expanded set of analytical tools that can be used to solve business problems.

  • Demonstrate proficiency in the use of business and statistical software to prepare and analyze data.

  • Identify and explain which analytical techniques should be employed to solve different types of business problems.

  • Generate insights via statistical analysis in a variety of realistic situations by recognizing the key problem in a situation, developing a structure for analyzing the problem, carrying out a cogent analysis, and presenting the analysis and insights to interested parties in a convincing, non-technical manner.


Evaluation MethodWeighting/Points for EachDetails
Participation10N/A
Project60Individual projects and homework assignments throughout the semester (likely 6-10)
Midterm15N/A
Project15Major group project in place of final exam
TopicTime Devoted to Each TopicActivity
N/AN/ASyllabus is attached

aeherget (Tue, 25 Apr 2017 19:16:57 GMT): AECHH: Uploading updated syllabus at initiator's request via email 4/25/2017.
Key: 15988