BIAM 570 Modeling for Decision Making DeVry

BIAM 570 Modeling for Decision Making DeVry

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BIAM 570 Modeling for Decision Making DeVry

BIAM 570 Week 1 Decision Models

BIAM 570 Week 1 Discussions

WEEK 1: INTRODUCTIONS

Please introduce yourself to the class. Tell us your major, a bit about your family, your interests, and whatever else you want to share!

WEEK 1: MAKING GOOD AND BAD DECISIONS

In a southern swamp, suppose large alligators are present where a $2.5 million dollar grand prize lottery ticket is hidden. You and a friend are aware of rules, which requires wading through the swamp to find the lottery ticket with no access to boats and the damage an alligator attack can inflict on human flesh and bones.

You both decide individually to go seek and find the lottery ticket in the swamp. You are promptly attacked by an alligator while your friend finds the lottery ticket but is not attacked. Did you make a good or bad decision? Did your friend make a good or bad decision? Explain your answer.

BIAM 570 Week 1 Lab Car Loan Analysis

BIAM 570 Week 2 Risk Modeling With Excel

BIAM 570 Week 2 Lab Welcome Packet Campaign

BIAM 570 Week 3 Markov Chains and Queuing

BIAM 570 Week 3 Lab Applicatoin of Queuing Theory

 

BIAM 570 Week 4 Forecasting and Prediction

BIAM 570 Week 4 Lab Application of Time Series Forecasting

 

BIAM 570 Week 5 Decision Trees and Bayes’ Law

BIAM 570 Week 5 Lab Pay Off Matrix and Decision Trees

BIAM 570 Week 5 Course Project

WEEK 5: COURSE PROJECT (DUE IN WEEK 8)

Review the Course Project Overview in the Introduction & Resources Module.

Continue working on the Course Project this week. The Course Project is due in Week 8.

 

BIAM 570 Week 6 Linear Optimization

BIAM 570 Week 6 LP Modeling and Optimal Solutions

WEEK 6: COURSE PROJECT (DUE IN WEEK 8)

Review the Course Project Overview in the Introduction & Resources Module.

Continue working on the Course Project this week. The Course Project is due in Week 8.

 

BIAM 570 Week 7 Linear Optimization Advanced

BIAM 570 Week 7 Lab GP and MOLP

BIAM 570 Week 7 Course Project

WEEK 7: COURSE PROJECT (DUE IN WEEK 8)

Review the Course Project requirements under Introduction & Resources Module.

Continue working on the Course Project this week. The Course Project is due in Week 8.

 

BIAM 570 Week 8 Course Project

BIAM 570 Week 8 Discussion

WEEK 8: LOOKING AHEAD

Class, looking back over the Course Objectives for this course, what are you looking forward to learning more about throughout your education and career?

BIAM 570 Week 8 COURSE PROJECT

Rubric

Final Project
Final Project
Criteria Ratings Pts

Topic Selection

10.0 pts

Full Marks
The topic clearly identifies and goes further into the realm of data modeling techniques as they are used to support best practices in project management.

0.0 pts

No Marks
10.0 pts

Paper: Content

150.0 pts

Full Marks
a. The paper is of the required length. b. The paper fully addresses topics provided. c. Topic areas should include a theory of situations. Examples of data modeling techniques covered in this course are used to support areas or project management, including other areas, such as assessing risk and uncertainty as it applies to decision making, interest creating project networks, and how Microsoft Excel is used to support project management analysis, including earliest and latest start and finish times, creating Gantt Charts, and using linear programming (LP) to facilitate forecasting and prediction and an assessment of the validity of the information. d. The paper is at least 80% in the student’s own words (i.e., no more than 20% direct quotations from a source).

0.0 pts

No Marks
150.0 pts

Excel: Technology

30.0 pts

Full Marks
Microsoft Excel is used properly to create a list of project management activities determining earliest and latest start and finish times.

0.0 pts

No Marks
30.0 pts

Excel: Technology

30.0 pts

Full Marks
Microsoft Excel is used properly to create a Gantt Chart based on project management activities.

0.0 pts

No Marks
30.0 pts

Excel: Technology

30.0 pts

Full Marks
Microsoft Excel is used properly to create a project network from activity A through Activity W.

0.0 pts

No Marks
30.0 pts

Excel: Technology

30.0 pts

Full Marks
Microsoft Excel is used properly to create worksheets to support project cost and a linear programming crashing model.

0.0 pts

No Marks
30.0 pts

Bibliography and In-Text Application of Research (APA)

40.0 pts

Full Marks
The bibliography includes at least five references. References are authoritative and do not include anonymous authors. Web pages, if used, are clearly written by experts in the field (expert qualifications are given in the summaries). At least three references are peer-reviewed, scholarly papers. The bibliography is in APA format and is free of typographical, grammar, spelling, and formatting errors.

0.0 pts

No Marks
40.0 pts

Paper: Formatting (APA)

10.0 pts

Full Marks
The paper is in 12-point Times New Roman font, double-spaced, and includes a cover page, table of contents, introduction, body of the report, summary or conclusion, and references. The Final Paper conforms to APA format.

0.0 pts

No Marks
10.0 pts

Paper: Organization and Cohesiveness (Mechanics)

10.0 pts

Full Marks
The paper includes an introduction that generates interest in the topic and previews the main points to be covered, a body that develops each main point, and a conclusion that summarizes the main points covered. There is a logical flow of ideas throughout the paper. There is a clear thesis statement for the paper and a clear topic statement for each major section. Appropriate transitions are used between topics and subtopics.

0.0 pts

No Marks
10.0 pts

Paper: Editing (Mechanics)

10.0 pts

Full Marks
The paper uses a professional writing style and is free of typographical, spelling, and grammar errors.

0.0 pts

No Marks
10.0 pts

 

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BIAM 570 Modeling for Decision Making DeVry

Best BIAM 570 Modeling for Decision Making DeVry

BIAM 570 Modeling for Decision Making DeVry

ACCT 553 DeVryBIAM 500 DeVryCIS 500 STRCIS 558 STRENG 105 GCUFIN 390 DeVryFIN 504 GCUHCA 545 GCUHCA 699 GCUHLT 306 GCUHLT 362 GCUHLT 555 GCUHLT 610 GCUHLT 665 GCUHOSP 594 DeVryHRM 600 DeVryMAT 144 GCUMGMT 600MGT 599 STRMGT 655 GCUMKT 373 GCUPSY 362 GCUPSY 565 GCUPSY 575 GCUPSY 665 GCUSOC 102 GCUSOC 320 GCUSOC 372 GCUSOC 412 GCUNSG 6440 SUHIM 515 GCUNSG 4029 SUHIM 615 GCUNSG 3029 SUNSG 4055 SUNSG 6630 SUNSG 6005 SUCRMJ 310PSY 510 GCUCRMJ 300 DevryCRMJ 425SPD 200 GCU, HLT 490 GCU ,ECH 340 GCU , ECH 440 GCU , ECH 355 GCU ,ECH 350 GCU ,LDR 461 GCU ,ECH 425 GCU ,REL 212 STR ,SCI 115 STR ,CIS 505 STR ,JUS 652 GCUMGT 640 GCUCIS 527 STRSOC 436 GCU,ACC 502 GCUFIN 504 GCU , MATH 260 DeVry ,ETHC 445 DeVry ,ECET 220 DeVry , CARD 405 DeVryNETW 203 DeVryNETW 205 DeVryECET 365 DeVry ,MATH 270 DeVry ,PHYS 310 DeVry, BIB 106 GCU ,CIS 512 STR ,SYM 506 GCU ,ECN 601 GCU  ,BIAM 570 DeVry

 

size chest(in.) waist(in.) hips(in.)
XS 34-36 27-29 34.5-36.5
S 36-38 29-31 36.5-38.5
M 38-40 31-33 38.5-40.5
L 40-42 33-36 40.5-43.5
XL 42-45 36-40 43.5-47.5
XXL 45-48 40-44 47.5-51.5

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