Course Modules: BUSI410: Business Analytics

Resources

Resources Resources

Attachment

Getting Your Excel Ready Getting Your Excel Ready 1

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Attachment

Creating Word and PDF Documents Creating Word and PDF Documents 2

attachment 24046412 0

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Attachment

Excel Functions Quick Reference Excel Functions Quick Reference 3

attachment 24046413 0

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External Url

Texbook Texbook 4

external_url 24046414 0

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External Url

Crystal Ball Virtual Lab Instructions Crystal Ball Virtual Lab Instructions 5

external_url 24046415 0

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01 Lecture: Introduction, Course Logistics, Examples of Business Analytics

01 Lecture: Introduction, Course Logistics, Examples of Business Analytics 01 Lecture: Introduction, Course Logistics, Examples of Business Analytics

Attachment

Intro.pdf Intro.pdf 1

attachment 24806105 0

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02 Lecture: Linear Programming

02 Lecture: Linear Programming 02 Lecture: Linear Programming

Context Module Sub Header

Readings: Note on Linear Programming, pp. 1-6 (CP), Excel to Solve a Linear Programming Problem (CP) 0

context_module_sub_header 24046416 0

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Attachment

LP1.pdf LP1.pdf 1

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Attachment

Carolina Sportswear in class.xlsx Carolina Sportswear in class.xlsx 2

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Attachment

A2 Brewery in class.xlsx A2 Brewery in class.xlsx 3

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Attachment

LP1_student.pdf LP1_student.pdf 4

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03 Lecture: Sensitivity Analysis

03 Lecture: Sensitivity Analysis 03 Lecture: Sensitivity Analysis

Context Module Sub Header

Readings: Note on Linear Programming, pp. 7-12 (CP), except “Shadow Prices and Resource Pricing”, Using Excel to Solve a Linear Programming Problem (CP) 0

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Attachment

LP2.pdf LP2.pdf 1

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Attachment

A2 Sensitivity Report in class.xlsx A2 Sensitivity Report in class.xlsx 2

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Attachment

Crazy Dave in class.xlsx Crazy Dave in class.xlsx 3

attachment 25289279 0

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Attachment

LP2_student.pdf LP2_student.pdf 4

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Attachment

A2.xlsx A2.xlsx 5

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Assignment

Lab Practice 1 Lab Practice 1 100 6

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04 Lab Session 1: Linear Programming using Excel

04 Lab Session 1: Linear Programming using Excel 04 Lab Session 1: Linear Programming using Excel

Attachment

Lab Session 1.pdf Lab Session 1.pdf 0

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Attachment

Picasso Formatted.xlsx Picasso Formatted.xlsx 1

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Attachment

Lab Session 1.docx Lab Session 1.docx 2

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Attachment

Picasso_student.xlsx Picasso_student.xlsx 3

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05 Lecture: Production and Inventory Management; Revenue Management

05 Lecture: Production and Inventory Management; Revenue Management 05 Lecture: Production and Inventory Management; Revenue Management

Attachment

LP3.pdf LP3.pdf 0

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Attachment

Nikon.xlsx Nikon.xlsx 1

attachment 25398263 0

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Attachment

triangle_airlines.xlsx triangle_airlines.xlsx 2

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Attachment

Picasso_WGG_P&L.xlsx Picasso_WGG_P&L.xlsx 3

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Attachment

LP3_student.pdf LP3_student.pdf 4

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Attachment

Nikon_student.xlsx Nikon_student.xlsx 5

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06 Lecture/Case Discussion: Design of Transportation Networks, Retail Price Optimization

06 Lecture/Case Discussion: Design of Transportation Networks, Retail Price Optimization 06 Lecture/Case Discussion: Design of Transportation Networks, Retail Price Optimization

Context Module Sub Header

Prepare Retailer: A Retail Pricing Simulation Exercise (CP) 0

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Attachment

LP4.pdf LP4.pdf 1

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Attachment

lemon.xlsx lemon.xlsx 2

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Attachment

retail.xlsx retail.xlsx 3

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Attachment

Retailer Case - Instructions for class preparation.docx Retailer Case - Instructions for class preparation.docx 4

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Attachment

retail_student.xlsx retail_student.xlsx 5

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Attachment

LP4_student.pdf LP4_student.pdf 6

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Attachment

lemon_student.xlsx lemon_student.xlsx 7

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Assignment

Lab Practice 2 Lab Practice 2 100 8

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07 Lab Session 2: Excel Solver Output and Sensitivity Analysis

07 Lab Session 2: Excel Solver Output and Sensitivity Analysis 07 Lab Session 2: Excel Solver Output and Sensitivity Analysis

Attachment

Lab Session 2.docx Lab Session 2.docx 0

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Attachment

bammo in class.xlsx bammo in class.xlsx 1

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Attachment

farm in class.xlsx farm in class.xlsx 2

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Assignment

Homework 1 Homework 1 100 3

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08 Lecture: Introduction to Simulation, Hotel Revenue Management

08 Lecture: Introduction to Simulation, Hotel Revenue Management 08 Lecture: Introduction to Simulation, Hotel Revenue Management

Context Module Sub Header

Reading: A Primer on Simulation Using Crystal Ball (CP) 0

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Attachment

Simulation1.pdf Simulation1.pdf 1

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Attachment

computer world in class.xlsx computer world in class.xlsx 2

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Attachment

Harriet Hotel in class.xlsx Harriet Hotel in class.xlsx 3

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Attachment

Simulation1_student.pdf Simulation1_student.pdf 4

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Attachment

computer world_student.xlsx computer world_student.xlsx 5

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Attachment

Harriet Hotel_student.xlsx Harriet Hotel_student.xlsx 6

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Assignment

Lab Practice 3 Lab Practice 3 100 7

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Score at least Must score at least to complete this module item Scored at least Module item has been completed by scoring at least Score at least % Must score at least % to complete this module item Scored at least % Module item has been completed by scoring at least % View Must view in order to complete this module item Viewed Module item has been viewed and is complete Mark done Must mark this module item done in order to complete Marked done Module item marked as done and is complete Contribute Must contribute to this module item to complete it Contributed Contributed to this module item and is complete Submit Must submit this module item to complete it Submitted Module item submitted and is complete

09 Lab Session 3: Airline Revenue Management using Excel and Crystal Ball

09 Lab Session 3: Airline Revenue Management using Excel and Crystal Ball 09 Lab Session 3: Airline Revenue Management using Excel and Crystal Ball

Context Module Sub Header

Reading: Yield Management A (pp. 59-60 in CP) and Yield Management B (pp. 61-62 in CP) 0

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Score at least Must score at least to complete this module item Scored at least Module item has been completed by scoring at least Score at least % Must score at least % to complete this module item Scored at least % Module item has been completed by scoring at least % View Must view in order to complete this module item Viewed Module item has been viewed and is complete Mark done Must mark this module item done in order to complete Marked done Module item marked as done and is complete Contribute Must contribute to this module item to complete it Contributed Contributed to this module item and is complete Submit Must submit this module item to complete it Submitted Module item submitted and is complete
Attachment

Yield A in class.xlsx Yield A in class.xlsx 1

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Attachment

Lab Session 3.pdf Lab Session 3.pdf 2

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Attachment

Yield B_student.xlsx Yield B_student.xlsx 3

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Attachment

Yield A_student.xlsx Yield A_student.xlsx 4

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Attachment

Lab Session 3_student.pdf Lab Session 3_student.pdf 5

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10 Lecture/Case Discussion: Project Portfolio Management, Inventory Management

10 Lecture/Case Discussion: Project Portfolio Management, Inventory Management 10 Lecture/Case Discussion: Project Portfolio Management, Inventory Management

Context Module Sub Header

Prepare: Assembly Line (A) (CP) 0

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Attachment

Simulation2.pdf Simulation2.pdf 1

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Attachment

TRC Technologies in class.xlsx TRC Technologies in class.xlsx 2

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Attachment

AssemblyA_student.xlsx AssemblyA_student.xlsx 3

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Attachment

AssemblyA in class.xlsx AssemblyA in class.xlsx 4

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Attachment

TRC Technologies_student.xlsx TRC Technologies_student.xlsx 5

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Assignment

Lab Practice 4 Lab Practice 4 100 6

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Score at least Must score at least to complete this module item Scored at least Module item has been completed by scoring at least Score at least % Must score at least % to complete this module item Scored at least % Module item has been completed by scoring at least % View Must view in order to complete this module item Viewed Module item has been viewed and is complete Mark done Must mark this module item done in order to complete Marked done Module item marked as done and is complete Contribute Must contribute to this module item to complete it Contributed Contributed to this module item and is complete Submit Must submit this module item to complete it Submitted Module item submitted and is complete
Attachment

Simulation2_student.pdf Simulation2_student.pdf 7

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11 Lab Session 4: Inventory Management using Excel and Crystal Ball

11 Lab Session 4: Inventory Management using Excel and Crystal Ball 11 Lab Session 4: Inventory Management using Excel and Crystal Ball

Attachment

Lab Session 4.pdf Lab Session 4.pdf 0

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Attachment

AssemblyB in class.xlsx AssemblyB in class.xlsx 1

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Attachment

AssemblyB_student.xlsx AssemblyB_student.xlsx 2

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Assignment

Homework 2 Homework 2 100 3

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Attachment

Lab Session 4.docx Lab Session 4.docx 4

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12 Lecture: Midterm Review

12 Lecture: Midterm Review 12 Lecture: Midterm Review

Context Module Sub Header

Background Reading: All material covered in Parts I & II 0

context_module_sub_header 24046433 0

Score at least Must score at least to complete this module item Scored at least Module item has been completed by scoring at least Score at least % Must score at least % to complete this module item Scored at least % Module item has been completed by scoring at least % View Must view in order to complete this module item Viewed Module item has been viewed and is complete Mark done Must mark this module item done in order to complete Marked done Module item marked as done and is complete Contribute Must contribute to this module item to complete it Contributed Contributed to this module item and is complete Submit Must submit this module item to complete it Submitted Module item submitted and is complete
Attachment

Midterm Review.pdf Midterm Review.pdf 1

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Attachment

midterm_f14.docx midterm_f14.docx 2

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Attachment

midterm_f15.docx midterm_f15.docx 3

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Attachment

midterm_f14_key.docx midterm_f14_key.docx 4

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Attachment

midterm_f15_key.docx midterm_f15_key.docx 5

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13 Lecture: Statistics for Decision Making and Competitive Advantage, Describing Data

13 Lecture: Statistics for Decision Making and Competitive Advantage, Describing Data 13 Lecture: Statistics for Decision Making and Competitive Advantage, Describing Data

Context Module Sub Header

Reading: Chapters 1 & 2 (T) 0

context_module_sub_header 24046434 0

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Attachment

Yankees.xlsx Yankees.xlsx 1

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Attachment

Excel 2.1 Executive compensation.xlsx Excel 2.1 Executive compensation.xlsx 2

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Attachment

Practice Data.xlsx Practice Data.xlsx 3

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Attachment

Yankees_student.xlsx Yankees_student.xlsx 4

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Attachment

Histogram bins -3 to +3.xlsx Histogram bins -3 to +3.xlsx 5

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Attachment

Practice Data_student.xlsx Practice Data_student.xlsx 6

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Attachment

Excel 2.1 Executive compensation_student.xlsx Excel 2.1 Executive compensation_student.xlsx 7

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Attachment

Describing Data student.pdf Describing Data student.pdf 8

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Assignment

Lab Practice 5 Lab Practice 5 100 9

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14 Lab Session 5: Describing Data using Excel

14 Lab Session 5: Describing Data using Excel 14 Lab Session 5: Describing Data using Excel

Attachment

Lab Session 5.pdf Lab Session 5.pdf 0

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Attachment

Lab 2 Executive Compensation in class.xlsx Lab 2 Executive Compensation in class.xlsx 1

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Attachment

Lab 2 Hollywood Politics in class.xlsx Lab 2 Hollywood Politics in class.xlsx 2

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Attachment

Lab 2 Executive Compensation_student.xlsx Lab 2 Executive Compensation_student.xlsx 3

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Attachment

Lab 2 Hollywood Politics_student.xlsx Lab 2 Hollywood Politics_student.xlsx 4

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Attachment

Histogram bins -3 to +3.xlsx Histogram bins -3 to +3.xlsx 5

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15 Lecture: Hypothesis Tests

15 Lecture: Hypothesis Tests 15 Lecture: Hypothesis Tests

Context Module Sub Header

Reading: Chapter 3, Sections 3.1, 3.2, 3.8, and 3.14 (T) 0

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Attachment

Hypothesis Tests.pdf Hypothesis Tests.pdf 1

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Attachment

Excel 3.1 Bottled Water Demand_student.xlsx Excel 3.1 Bottled Water Demand_student.xlsx 2

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Attachment

Excel 3.1 Bottled Water Demand.xlsx Excel 3.1 Bottled Water Demand.xlsx 3

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Excel 3.2 Smartpen income_student.xlsx Excel 3.2 Smartpen income_student.xlsx 4

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Excel 3.2 Smartpen income.xlsx Excel 3.2 Smartpen income.xlsx 5

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weight loss_student.xlsx weight loss_student.xlsx 6

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weight loss.xlsx weight loss.xlsx 7

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Attachment

Hypothesis Tests_student.pdf Hypothesis Tests_student.pdf 8

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16 Lecture: Confidence Intervals

16 Lecture: Confidence Intervals 16 Lecture: Confidence Intervals

Context Module Sub Header

Reading: Chapter 3, Sections 3.3, 3.4, 3.5, 3.9, 3.13, and 3.14 (T) 0

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Attachment

Confidence Intervals.pdf Confidence Intervals.pdf 1

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Attachment

Copy of Excel 3.1 Bottled Water Demand_2016 in class.xlsx Copy of Excel 3.1 Bottled Water Demand_2016 in class.xlsx 2

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Attachment

Excel 3.2 Smartpen income_2016 in class.xlsx Excel 3.2 Smartpen income_2016 in class.xlsx 3

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weight loss_2016 in class.xlsx weight loss_2016 in class.xlsx 4

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Attachment

Excel 3.1 Bottled Water Demand_student.xlsx Excel 3.1 Bottled Water Demand_student.xlsx 5

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Attachment

Excel 3.2 Smartpen income_student.xlsx Excel 3.2 Smartpen income_student.xlsx 6

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Attachment

weight loss_student.xlsx weight loss_student.xlsx 7

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Assignment

Lab Practice 6 Lab Practice 6 100 8

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17 Lab Session 6: Inference using Excel and Crystal Ball

17 Lab Session 6: Inference using Excel and Crystal Ball 17 Lab Session 6: Inference using Excel and Crystal Ball

Attachment

Lab 3 Nationals_in class 2016.xlsx Lab 3 Nationals_in class 2016.xlsx 0

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Attachment

Lab 3 Dell PDA in class 2016.xlsx Lab 3 Dell PDA in class 2016.xlsx 1

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Attachment

Lab Session 6.pdf Lab Session 6.pdf 2

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Attachment

Lab 3 Nationals_student.xlsx Lab 3 Nationals_student.xlsx 3

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Attachment

Lab 3 Dell PDA_student.xlsx Lab 3 Dell PDA_student.xlsx 4

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Attachment

Lab Session 6.docx Lab Session 6.docx 5

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Assignment

Homework 3 Homework 3 100 6

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18 Lecture: Identifying Drivers of Business Outcomes

18 Lecture: Identifying Drivers of Business Outcomes 18 Lecture: Identifying Drivers of Business Outcomes

Context Module Sub Header

Reading: Chapter 4 (T) 0

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Score at least Must score at least to complete this module item Scored at least Module item has been completed by scoring at least Score at least % Must score at least % to complete this module item Scored at least % Module item has been completed by scoring at least % View Must view in order to complete this module item Viewed Module item has been viewed and is complete Mark done Must mark this module item done in order to complete Marked done Module item marked as done and is complete Contribute Must contribute to this module item to complete it Contributed Contributed to this module item and is complete Submit Must submit this module item to complete it Submitted Module item submitted and is complete
Attachment

hybrid sales_in class.xlsx hybrid sales_in class.xlsx 1

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Attachment

Regression.pdf Regression.pdf 2

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Attachment

hybrid sales_student.xlsx hybrid sales_student.xlsx 3

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19 Lecture: Building Multiple Regression Models

19 Lecture: Building Multiple Regression Models 19 Lecture: Building Multiple Regression Models

Context Module Sub Header

Reading: Chapter 8 (T) 0

context_module_sub_header 24046449 0

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Attachment

Multiple Regression.pdf Multiple Regression.pdf 1

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Attachment

Excel 8.1 Sakura Motors_in class.xlsx Excel 8.1 Sakura Motors_in class.xlsx 2

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Attachment

Excel 8.1 Sakura Motors_student.xlsx Excel 8.1 Sakura Motors_student.xlsx 3

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Assignment

Lab Practice 7 Lab Practice 7 100 4

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20 Lab Session 7: Building Multiple Regression Models using Excel

20 Lab Session 7: Building Multiple Regression Models using Excel 20 Lab Session 7: Building Multiple Regression Models using Excel

Attachment

Lab Session 7.pdf Lab Session 7.pdf 0

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Attachment

Lab Practice 8 Diaper Fit Drivers in class.xlsx Lab Practice 8 Diaper Fit Drivers in class.xlsx 1

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Attachment

Lab Practice 8 Diaper Fit Drivers_student.xlsx Lab Practice 8 Diaper Fit Drivers_student.xlsx 2

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Attachment

Histogram bins -3 to +3.xlsx Histogram bins -3 to +3.xlsx 3

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Attachment

Lab Session 7.docx Lab Session 7.docx 4

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Assignment

Homework 4 Homework 4 100 5

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21 Lecture: Model Building & Forecasting with Time Series Data

21 Lecture: Model Building & Forecasting with Time Series Data 21 Lecture: Model Building & Forecasting with Time Series Data

Context Module Sub Header

Reading: Chapter 9 (T) 0

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Attachment

Forecasting.pdf Forecasting.pdf 1

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Attachment

Excel 9.1 Home Depot.xlsx Excel 9.1 Home Depot.xlsx 2

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Attachment

Excel 9.1 Home Depot_student.xlsx Excel 9.1 Home Depot_student.xlsx 3

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Attachment

DW.docx DW.docx 4

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Assignment

Lab Practice 8 Lab Practice 8 100 5

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22 Lab Session 8: Model Building & Forecasting with Time Series Data using Excel

22 Lab Session 8: Model Building & Forecasting with Time Series Data using Excel 22 Lab Session 8: Model Building & Forecasting with Time Series Data using Excel

Attachment

Lab Session 8.pdf Lab Session 8.pdf 0

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Attachment

Lab 9 hp forecast_student.xlsx Lab 9 hp forecast_student.xlsx 1

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Attachment

Lab 9 hp forecast.xlsx Lab 9 hp forecast.xlsx 2

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Attachment

Lab Session 8.docx Lab Session 8.docx 3

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23 Lecture: Using Indicator Variables for Segment Differences, Structural Changes, and Shocks

23 Lecture: Using Indicator Variables for Segment Differences, Structural Changes, and Shocks 23 Lecture: Using Indicator Variables for Segment Differences, Structural Changes, and Shocks

Context Module Sub Header

Reading: Chapter 10 (T) 0

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Attachment

Indicator Variables.pdf Indicator Variables.pdf 1

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Triangle Construction Company.docx Triangle Construction Company.docx 2

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Attachment

Triangle Construction Company_student.xlsx Triangle Construction Company_student.xlsx 3

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Assignment

Lab Practice 9 Lab Practice 9 100 4

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24 Lab Session 9: Incorporating Indicator Variables into your Model

24 Lab Session 9: Incorporating Indicator Variables into your Model 24 Lab Session 9: Incorporating Indicator Variables into your Model

Attachment

Lab Session 9.pdf Lab Session 9.pdf 0

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tablet_student.xlsx tablet_student.xlsx 1

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Attachment

Indian imports 10.2_student.xlsx Indian imports 10.2_student.xlsx 2

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Lab Session 9.docx Lab Session 9.docx 3

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Indian Imports 10.2.xlsx Indian Imports 10.2.xlsx 4

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25 Case Discussion: Managing Employee Retention

25 Case Discussion: Managing Employee Retention 25 Case Discussion: Managing Employee Retention

Context Module Sub Header

Prepare: Store 24 (A): Managing Employee Retention (CP) 0

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store24.pdf store24.pdf 1

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Attachment

Store24(A)_student.xlsx Store24(A)_student.xlsx 2

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Store24(A).xlsx Store24(A).xlsx 3

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Assignment

Homework 5 Homework 5 100 4

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26 Lecture: Final Review

26 Lecture: Final Review 26 Lecture: Final Review

Context Module Sub Header

Background Reading: All material covered in Part III 0

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final_review.pdf final_review.pdf 1

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final_f14.pdf final_f14.pdf 2

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final_f15.pdf final_f15.pdf 3

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final_f14_key.docx final_f14_key.docx 4

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final_f15_key.docx final_f15_key.docx 5

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final_f16_key.docx final_f16_key.docx 6

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Course Modules

Resources

01 Lecture: Introduction, Course Logistics, Examples of Business Analytics

02 Lecture: Linear Programming

Readings: Note on Linear Programming, pp. 1-6 (CP), Excel to Solve a Linear Programming Problem (CP) 0

03 Lecture: Sensitivity Analysis

Readings: Note on Linear Programming, pp. 7-12 (CP), except “Shadow Prices and Resource Pricing”, Using Excel to Solve a Linear Programming Problem (CP) 0

04 Lab Session 1: Linear Programming using Excel

05 Lecture: Production and Inventory Management; Revenue Management

06 Lecture/Case Discussion: Design of Transportation Networks, Retail Price Optimization

Prepare Retailer: A Retail Pricing Simulation Exercise (CP) 0

07 Lab Session 2: Excel Solver Output and Sensitivity Analysis

08 Lecture: Introduction to Simulation, Hotel Revenue Management

Reading: A Primer on Simulation Using Crystal Ball (CP) 0

09 Lab Session 3: Airline Revenue Management using Excel and Crystal Ball

Reading: Yield Management A (pp. 59-60 in CP) and Yield Management B (pp. 61-62 in CP) 0

10 Lecture/Case Discussion: Project Portfolio Management, Inventory Management

Prepare: Assembly Line (A) (CP) 0

11 Lab Session 4: Inventory Management using Excel and Crystal Ball

12 Lecture: Midterm Review

Background Reading: All material covered in Parts I & II 0

13 Lecture: Statistics for Decision Making and Competitive Advantage, Describing Data

Reading: Chapters 1 & 2 (T) 0

14 Lab Session 5: Describing Data using Excel

15 Lecture: Hypothesis Tests

Reading: Chapter 3, Sections 3.1, 3.2, 3.8, and 3.14 (T) 0

16 Lecture: Confidence Intervals

Reading: Chapter 3, Sections 3.3, 3.4, 3.5, 3.9, 3.13, and 3.14 (T) 0

17 Lab Session 6: Inference using Excel and Crystal Ball

18 Lecture: Identifying Drivers of Business Outcomes

Reading: Chapter 4 (T) 0

19 Lecture: Building Multiple Regression Models

Reading: Chapter 8 (T) 0

20 Lab Session 7: Building Multiple Regression Models using Excel

21 Lecture: Model Building & Forecasting with Time Series Data

Reading: Chapter 9 (T) 0

22 Lab Session 8: Model Building & Forecasting with Time Series Data using Excel

23 Lecture: Using Indicator Variables for Segment Differences, Structural Changes, and Shocks

Reading: Chapter 10 (T) 0

24 Lab Session 9: Incorporating Indicator Variables into your Model

25 Case Discussion: Managing Employee Retention

Prepare: Store 24 (A): Managing Employee Retention (CP) 0

26 Lecture: Final Review

Background Reading: All material covered in Part III 0