Write a 2000 words paper describing recent (2013-now) discoveries of specific network effects found in (a) physical organizations, and (b) virtual organizations. For physical organizations (e.g., telephone networks, sensor networks, and surveillance cameras) describe Knock on effects of local decision makers that have already resulted in organizational corrections. For example, a firm (e.g., Radio Scheck) that sells mobile phones and accessories will experience knock on effect of sales if any of its merchandise receives a low rating. For virtual organizations (e.g., Hollywood, Adventis, United States Department of Agriculture), any change in the organization will have unintended consequences that require adjustments in the virtual organization. State technical details as well as actions taken and consequences, when applicable. You must use multiple sources and cite them all. You must use very reliable sources like IEEE. Random references will not be accepted. Use Only online sources. Make sure that the paper contents are not copied from the websites. It must be 100% plagiarism free. Make sure it is 2000 words minimum.

Write a 2000 words paper describing recent (2013-now) discoveries of specific network effects found in (a) physical organizations, and (b) virtual organizations. For physical organizations (e.g., telephone networks, sensor networks, and surveillance cameras) describe Knock on effects of local decision makers that have already resulted in organizational corrections. For example, a firm (e.g., Radio Scheck) that sells mobile phones and accessories will experience knock on effect of sales if any of its merchandise receives a low rating. For virtual organizations (e.g., Hollywood, Adventis, United States Department of Agriculture), any change in the organization will have unintended consequences that require adjustments in the virtual organization. State technical details as well as actions taken and consequences, when applicable. You must use multiple sources and cite them all. You must use very reliable sources like IEEE. Random references will not be accepted. Use Only online sources. Make sure that the paper contents are not copied from the websites. It must be 100% plagiarism free. Make sure it is 2000 words minimum.

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Lab 5 Math 551 Fall 2015 Goal: In this assignment we will look at two fractals, namely the Sierpinski fractal and the Barnsley Fern. During the lab session, your lab instructor will teach you the necessary MATLAB code to complete the assignment, which will be discussed in the lab on Thursday October 8th or Friday October 9th in the lab (CW 144 or CW 145). What you have to submit: An m- le containing all of the commands necessary to perform all the tasks described below. Submit this le on Canvas. Click: \Assignments”, click \MATLAB Project 5″, click \Submit Assignment”, then upload your .m le and click \Submit Assignment” again. Due date: Friday October 16, 5pm. No late submission will be accepted. TASKS A fractal can be de ned as a self-similar detailed pattern repeating itself. Some of the most well know fractals (the Mandelbrot set and Julia set) can be viewed here: http://classes.yale.edu/fractals/ The Sierpinski Fractal The program srnpnski(m,dist,n) gets its name from the mathematician W. Sierpinski. The only parameter that must be speci ed is m which determines the number of vertices that will be part of a regular polygon. For larger m it produces a graph which is similar to a snow ake. The program starts with a randomly chosen seed position given by the internal variable s. At each stage one of the vertices is chosen at random and a new point is produced which is dist away from the old point to the vertex. The value of dist should be between 0 and 1. The default value is 0.5. This process is repeated n times. The default value of n is 1500. 1. Create a new Matlab function: func t i on s rpns k i (m, di s t , n) %This c r e a t e s a snowf lake from m v e r t i c e s us ing n i t e r a t i o n s . i f nargin <3, n=1500; end i f nargin <2, d i s t =0.5; end c l f a x i s ( [ ?1 ,1 , ?1 ,1] ) p=exp (2 pi  i  ( 1 :m)/m) ; pl o t (p , '  ' ) hold s=rand+i  rand ; f o r j =1:n r=c e i l (m rand ) ; s=d i s t  s+(1?d i s t )p( r ) ; pl o t ( s , ' . ' ) end 2. Try out the following commands s rpns k i ( 3 ) s rpns k i ( 3 , 0 . 5 , 2 5 0 0 ) s rpns k i ( 3 , 0 . 5 , 5 0 0 0 ) s rpns k i ( 3 , 0 . 4 ) 1 s rpns k i ( 3 , 0 . 2 ) s rpns k i ( 5 ) s rpns k i ( 5 , 0 . 4 ) s rpns k i ( 5 , 0 . 3 ) s rpns k i ( 6 , 0 . 3 ) s rpns k i ( 8 , 0 . 3 , 5 0 0 0 ) The Barnsley Fern The following program is the famous Barnsley Fern. The only external parameter is n, the number of iterations. 3. Create a new Matlab function: func t i on f e r n (n) A1=[ 0 . 8 5 , 0 . 0 4 ; ?0 . 0 4 , 0 . 8 5 ] ; A2=[ ?0 . 1 5 , 0 . 2 8 ; 0 . 2 6 , 0 . 2 4 ] ; A3=[ 0 . 2 , ?0 . 2 6 ; 0 . 2 3 , 0 . 2 2 ] ; A4=[ 0 , 0 ; 0 , 0 . 1 6 ] ; T1=[ 0 ; 1 . 6 ] ; T2=[ 0 ; 0 . 4 4 ] ; T3=[ 0 ; 1 . 6 ] ; T4=[ 0 , 0 ] ; P1=0.85; P2=0.07; P3=0.07; P4=0.01; c l f ; s=rand ( 2 , 1 ) ; pl o t ( s ( 1 ) , s ( 2 ) , ' . ' ) hold f o r j =1:n r=rand ; i f r<=P1 , s=A1 s+T1 ; e l s e i f r<=P1+P2 , s=A2 s+T2 ; e l s e i f r<=P1+P2+P3 , s=A3 s+T3 ; e l s e s=A4 s ; end pl o t ( s ( 1 ) , s ( 2 ) , ' . ' ) end 4. Try the following commands: f e r n (100) f e r n (500) f e r n (1000) f e r n (3000) f e r n (5000) f e r n (10000) 2 5. Change the parameters in the fern program: A1=[ 0 . 5 , 0 ; 0 , 0 . 5 ] ; A2=[ 0 . 5 , 0 ; 0 , 0 . 5 ] ; A3=[ 0 . 5 , 0 ; 0 , 0 . 5 ] ; T1=[ 1 ; 1 ] ; T2=[ 1 ; 5 0 ] ; T3=[ 5 0 ; 5 0 ] ; P1=0.33; P2=0.33; P3=0.34; Call the new program srptri.m. Try the command s r p t r i (5000) You should see a familiar looking result. 6. Change the parameters in the fern program: A1=[ 0 , 0 ; 0 , 0 . 5 ] ; A2=[ 0 . 4 2 , ?0 . 4 2 ; 0 . 4 2 , 0 . 4 2 ] ; A3=[ 0 . 4 2 , 0 . 4 2 ; ?0 . 4 2 , 0 . 4 2 ] ; A4=[ 0 . 1 , 0 ; 0 , 0 . 1 ] ; T1=[ 0 ; 0 ] ; T2=[ 0 ; 0 . 2 ] ; T3=[ 0 ; 0 . 2 ] ; T4=[ 0 , 0 . 2 ] ; P1=0.05; P2=0.4; P3=0.4; P4=0.15; Call the new program srptree.m. Try the command s r p t r e e (5000) This is an example of a fractal tree. Some nice animations of fractal trees can be seen here: http://classes.yale.edu/fractals/ MATLAB commands to learn: Cl f , c e i l , imaginary uni t I , i f . . e l s e i f . . e l s e . . end 3

Lab 5 Math 551 Fall 2015 Goal: In this assignment we will look at two fractals, namely the Sierpinski fractal and the Barnsley Fern. During the lab session, your lab instructor will teach you the necessary MATLAB code to complete the assignment, which will be discussed in the lab on Thursday October 8th or Friday October 9th in the lab (CW 144 or CW 145). What you have to submit: An m- le containing all of the commands necessary to perform all the tasks described below. Submit this le on Canvas. Click: \Assignments”, click \MATLAB Project 5″, click \Submit Assignment”, then upload your .m le and click \Submit Assignment” again. Due date: Friday October 16, 5pm. No late submission will be accepted. TASKS A fractal can be de ned as a self-similar detailed pattern repeating itself. Some of the most well know fractals (the Mandelbrot set and Julia set) can be viewed here: http://classes.yale.edu/fractals/ The Sierpinski Fractal The program srnpnski(m,dist,n) gets its name from the mathematician W. Sierpinski. The only parameter that must be speci ed is m which determines the number of vertices that will be part of a regular polygon. For larger m it produces a graph which is similar to a snow ake. The program starts with a randomly chosen seed position given by the internal variable s. At each stage one of the vertices is chosen at random and a new point is produced which is dist away from the old point to the vertex. The value of dist should be between 0 and 1. The default value is 0.5. This process is repeated n times. The default value of n is 1500. 1. Create a new Matlab function: func t i on s rpns k i (m, di s t , n) %This c r e a t e s a snowf lake from m v e r t i c e s us ing n i t e r a t i o n s . i f nargin <3, n=1500; end i f nargin <2, d i s t =0.5; end c l f a x i s ( [ ?1 ,1 , ?1 ,1] ) p=exp (2 pi  i  ( 1 :m)/m) ; pl o t (p , '  ' ) hold s=rand+i  rand ; f o r j =1:n r=c e i l (m rand ) ; s=d i s t  s+(1?d i s t )p( r ) ; pl o t ( s , ' . ' ) end 2. Try out the following commands s rpns k i ( 3 ) s rpns k i ( 3 , 0 . 5 , 2 5 0 0 ) s rpns k i ( 3 , 0 . 5 , 5 0 0 0 ) s rpns k i ( 3 , 0 . 4 ) 1 s rpns k i ( 3 , 0 . 2 ) s rpns k i ( 5 ) s rpns k i ( 5 , 0 . 4 ) s rpns k i ( 5 , 0 . 3 ) s rpns k i ( 6 , 0 . 3 ) s rpns k i ( 8 , 0 . 3 , 5 0 0 0 ) The Barnsley Fern The following program is the famous Barnsley Fern. The only external parameter is n, the number of iterations. 3. Create a new Matlab function: func t i on f e r n (n) A1=[ 0 . 8 5 , 0 . 0 4 ; ?0 . 0 4 , 0 . 8 5 ] ; A2=[ ?0 . 1 5 , 0 . 2 8 ; 0 . 2 6 , 0 . 2 4 ] ; A3=[ 0 . 2 , ?0 . 2 6 ; 0 . 2 3 , 0 . 2 2 ] ; A4=[ 0 , 0 ; 0 , 0 . 1 6 ] ; T1=[ 0 ; 1 . 6 ] ; T2=[ 0 ; 0 . 4 4 ] ; T3=[ 0 ; 1 . 6 ] ; T4=[ 0 , 0 ] ; P1=0.85; P2=0.07; P3=0.07; P4=0.01; c l f ; s=rand ( 2 , 1 ) ; pl o t ( s ( 1 ) , s ( 2 ) , ' . ' ) hold f o r j =1:n r=rand ; i f r<=P1 , s=A1 s+T1 ; e l s e i f r<=P1+P2 , s=A2 s+T2 ; e l s e i f r<=P1+P2+P3 , s=A3 s+T3 ; e l s e s=A4 s ; end pl o t ( s ( 1 ) , s ( 2 ) , ' . ' ) end 4. Try the following commands: f e r n (100) f e r n (500) f e r n (1000) f e r n (3000) f e r n (5000) f e r n (10000) 2 5. Change the parameters in the fern program: A1=[ 0 . 5 , 0 ; 0 , 0 . 5 ] ; A2=[ 0 . 5 , 0 ; 0 , 0 . 5 ] ; A3=[ 0 . 5 , 0 ; 0 , 0 . 5 ] ; T1=[ 1 ; 1 ] ; T2=[ 1 ; 5 0 ] ; T3=[ 5 0 ; 5 0 ] ; P1=0.33; P2=0.33; P3=0.34; Call the new program srptri.m. Try the command s r p t r i (5000) You should see a familiar looking result. 6. Change the parameters in the fern program: A1=[ 0 , 0 ; 0 , 0 . 5 ] ; A2=[ 0 . 4 2 , ?0 . 4 2 ; 0 . 4 2 , 0 . 4 2 ] ; A3=[ 0 . 4 2 , 0 . 4 2 ; ?0 . 4 2 , 0 . 4 2 ] ; A4=[ 0 . 1 , 0 ; 0 , 0 . 1 ] ; T1=[ 0 ; 0 ] ; T2=[ 0 ; 0 . 2 ] ; T3=[ 0 ; 0 . 2 ] ; T4=[ 0 , 0 . 2 ] ; P1=0.05; P2=0.4; P3=0.4; P4=0.15; Call the new program srptree.m. Try the command s r p t r e e (5000) This is an example of a fractal tree. Some nice animations of fractal trees can be seen here: http://classes.yale.edu/fractals/ MATLAB commands to learn: Cl f , c e i l , imaginary uni t I , i f . . e l s e i f . . e l s e . . end 3

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ECNS 203 – Principles of Economics Extra Credit Instructions – Fall 2015 As we are winding down our semester, I have decided to integrate some current events into our econ studies. Much is going on in the world oil market that pertains directly to what we have been studying this semester – related to both micro and macroeconomics. Therefore, I have decided to offer an extra credit opportunity for you if you are willing to do some research, summarize your findings in a short paper, and bring it to class on Tuesday, December 1st ready to discuss. To earn the extra credit complete the following: 1. Do some research on current issues (last 12 months) discussing world oil supply, demand and pricing. 2. Write a short (300 word minimum) paper on your findings relative to the micro and macro-economic issues found in your research. I especially want you to focus on the following questions: a. Why has the oil price dropped so much? b. Will it stay down? Why or Why Not? c. Does our discussion on production costs and decisions on running plants relevant to this issue? Why? d. Who are the winners and losers from a micro and macro-economic perspective? 3. Bring that paper to class with you on Tuesday, December 1st to submit it to me and discuss your findings. If you complete all three steps, I will award you with 10 extra credit points to be added to your total points earned for the semester. This will be in addition to the up to 20 extra credit points earned by answering the Clicker Questions correctly. Late submittals will not be accepted and you must be in attendance to receive the points. Papers given little to no effort will not be awarded points. In other words, don’t submit a bunch of non-sense and expect credit. Cite your resources using whatever style you prefer.

ECNS 203 – Principles of Economics Extra Credit Instructions – Fall 2015 As we are winding down our semester, I have decided to integrate some current events into our econ studies. Much is going on in the world oil market that pertains directly to what we have been studying this semester – related to both micro and macroeconomics. Therefore, I have decided to offer an extra credit opportunity for you if you are willing to do some research, summarize your findings in a short paper, and bring it to class on Tuesday, December 1st ready to discuss. To earn the extra credit complete the following: 1. Do some research on current issues (last 12 months) discussing world oil supply, demand and pricing. 2. Write a short (300 word minimum) paper on your findings relative to the micro and macro-economic issues found in your research. I especially want you to focus on the following questions: a. Why has the oil price dropped so much? b. Will it stay down? Why or Why Not? c. Does our discussion on production costs and decisions on running plants relevant to this issue? Why? d. Who are the winners and losers from a micro and macro-economic perspective? 3. Bring that paper to class with you on Tuesday, December 1st to submit it to me and discuss your findings. If you complete all three steps, I will award you with 10 extra credit points to be added to your total points earned for the semester. This will be in addition to the up to 20 extra credit points earned by answering the Clicker Questions correctly. Late submittals will not be accepted and you must be in attendance to receive the points. Papers given little to no effort will not be awarded points. In other words, don’t submit a bunch of non-sense and expect credit. Cite your resources using whatever style you prefer.

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Excel Review Assignment #1 – ISM3011 Ask before/after/during class or come into office/online hours if you have questions on any of this. Refer to the syllabus on Academic Dishonesty and group/individual work and allowable help for all projects – also remember it’s your responsibility to protect your work. Before you start — read this whole assignment and use your optional text and/or review the tutorials as necessary on Canvas or www.bwarner.org/tips. A project overview for each project is also available. Part 1 – Create / Download / Parts • Create a blank workbook. Name it using your Last name followed by your initials and _ 1EX (underscore then 1EX). For Example: WarnerBL_1EX .xlsx. Either extension is fine. • Download the Word file Ex1 Data1-F15.docx and copy/paste Word table from the file into the 2nd worksheet in your workbook. Name the tab ‘2014 Sales’. • Download the Word file Ex1 Data2-F15.docx and copy/paste Word table from the file into the 3rd worksheet in your workbook. Name the tab ‘2015 Sales’. • Adjust the column widths of both Sales worksheets so that no data is cut off. • Do not add any formulas or cells to the Sales worksheets Part 2 – Summary Worksheet • Create a summary sheet from the Sales worksheets. Name the worksheet ‘Summary’. Build two summaries on this worksheet. Summary 1: Comparison of Sales by Month and Summary 2: Comparison of Sales by Store ID. • Use the project overview as a guide for the format. Use colors, borders and backgrounds to make the worksheet look professional. o Include the following:  Month and Store ID headings that reference the 2014 Sales worksheet. This means if ‘January’ is changed to ‘Jan’ in the 2014 Sales worksheet, the summary worksheet heading will also change. Do the same with the Store ID and 2014 Sales worksheet.  Formulas that reference the 2014 and 2015 Sales worksheets. If the Sales worksheets change, the summary worksheet should also adjust automatically.  Correct format for all book totals (commas, no decimal places)  Correct % change formulas in both tables. This is how much the totals have changed compared to the 2014 totals.  Correct format for all % change (% sign, 1 decimal place).  Use borders and background colors on the column & row headings for both tables of data • On the summary worksheet, use conditional formatting to highlight any % change cell that greater than zero with a bright color background. If the % change is negative, display the value with a red font and no background color. o There should be only two conditional formats set on each cell. o **Note – to do the conditional formatting steps, you can set the conditional formatting for one cell and then use the format painter to apply to other appropriate cells. If the values are all changed, the conditional formatting should still work. Once you have it working, check by changing some values & see if the conditional formatting changes correctly. Return to the original values/formulas in the cell before you submit. If you don’t use the format painter for this be sure you still try it out & understand how it works. Part 3 – Chart • Create 2 column graphs displaying Totals by Month and Totals by Store ID. Include: • Titles on both chart as well as labeling on the x and the y axis. • Color fonts for the title and axis labels (not dark blue or black) • Large font for the title (at least 16 point) • Include a legend • Format the background (chart area/walls) of the graph with a texture – use one that is easy to see. • Be sure that if any headings or numbers in the worksheets change, these changes are automatically reflected in your chart. • Add a star or banner shape between the two charts and add your name. Be sure the text is part of the shape (not a shape and a separate text box). Part 4 – Finishing Up • Be sure your worksheet tabs are named correctly and if possible, make each worksheet tab a distinctly different color. If your version of Excel doesn’t allow this, don’t worry about it. But do delete any additional worksheets in the workbook. • Create a title in the first row of your summary worksheet. Use the merge and center feature (across all columns with data) and a larger font & different font color (not blue or black). Also add a background color. Add a comment with your email address and the date your spreadsheet was created. • Below the title, add a row with the current date (use the today or now formula) so it is updated whenever the spreadsheet is opened). • Check your formulas, be sure they are correct and make sense. For example, if you are subtracting 2 numbers don’t use the SUM formulas (sum is for adding). Excel may figure out what you mean, but we want the formulas to be used correctly (show that you understand how to use them). • Check your worksheet for errors! Potential errors in cells show up as small green triangles in the top left corner of each cell. Do a little Googling on error checking for your version of Excel and be sure you have error checking turned on and that you reconcile each error so they don’t display when we open your project for grading. Sample: Project Submission Instructions / Notes: • Office/online hours get busy as deadlines approach. If you procrastinate and wait until the last days to work on your project, you may not be able to get all the help you want. • The only way we can fairly grade the projects is if we check for each requirement. Please go through the instructions before you submit & be sure you have done each one correctly so you don’t miss out on points. Compare your solution to the project overview. • Submitting: o Remember to leave all of the internal file properties intact for your project, if they are modified or deleted, you project won’t be accepted (see syllabus for more on this). o Read and follow the instructions in the Assignments section of Canvas on uploading and checking your upload. If you follow these instructions you can ensure that your project is uploaded correctly (and is the correct project). Be sure that Access / Excel are closed before you try to upload your project files. o If your project doesn’t upload correctly before the due date, it will be considered late and be assessed the late penalty – even it was finished on time. This is the only way we can ensure that students check their Canvas submissions. • Technology problems relating to your home computer (Windows based or Mac), internet connection or slow Canvas access are not valid excuses for late/missing work, unless Canvas is down for 6+ hours on the due date. Computers at USF computer labs and the library are available; leave enough time to access them as needed. Also give yourself enough time that if a TA can’t answer a question, you’ll have time to contact me & I can either help you or make an allowance in your grade. If you wait until the last days, I may not be able to do either.

Excel Review Assignment #1 – ISM3011 Ask before/after/during class or come into office/online hours if you have questions on any of this. Refer to the syllabus on Academic Dishonesty and group/individual work and allowable help for all projects – also remember it’s your responsibility to protect your work. Before you start — read this whole assignment and use your optional text and/or review the tutorials as necessary on Canvas or www.bwarner.org/tips. A project overview for each project is also available. Part 1 – Create / Download / Parts • Create a blank workbook. Name it using your Last name followed by your initials and _ 1EX (underscore then 1EX). For Example: WarnerBL_1EX .xlsx. Either extension is fine. • Download the Word file Ex1 Data1-F15.docx and copy/paste Word table from the file into the 2nd worksheet in your workbook. Name the tab ‘2014 Sales’. • Download the Word file Ex1 Data2-F15.docx and copy/paste Word table from the file into the 3rd worksheet in your workbook. Name the tab ‘2015 Sales’. • Adjust the column widths of both Sales worksheets so that no data is cut off. • Do not add any formulas or cells to the Sales worksheets Part 2 – Summary Worksheet • Create a summary sheet from the Sales worksheets. Name the worksheet ‘Summary’. Build two summaries on this worksheet. Summary 1: Comparison of Sales by Month and Summary 2: Comparison of Sales by Store ID. • Use the project overview as a guide for the format. Use colors, borders and backgrounds to make the worksheet look professional. o Include the following:  Month and Store ID headings that reference the 2014 Sales worksheet. This means if ‘January’ is changed to ‘Jan’ in the 2014 Sales worksheet, the summary worksheet heading will also change. Do the same with the Store ID and 2014 Sales worksheet.  Formulas that reference the 2014 and 2015 Sales worksheets. If the Sales worksheets change, the summary worksheet should also adjust automatically.  Correct format for all book totals (commas, no decimal places)  Correct % change formulas in both tables. This is how much the totals have changed compared to the 2014 totals.  Correct format for all % change (% sign, 1 decimal place).  Use borders and background colors on the column & row headings for both tables of data • On the summary worksheet, use conditional formatting to highlight any % change cell that greater than zero with a bright color background. If the % change is negative, display the value with a red font and no background color. o There should be only two conditional formats set on each cell. o **Note – to do the conditional formatting steps, you can set the conditional formatting for one cell and then use the format painter to apply to other appropriate cells. If the values are all changed, the conditional formatting should still work. Once you have it working, check by changing some values & see if the conditional formatting changes correctly. Return to the original values/formulas in the cell before you submit. If you don’t use the format painter for this be sure you still try it out & understand how it works. Part 3 – Chart • Create 2 column graphs displaying Totals by Month and Totals by Store ID. Include: • Titles on both chart as well as labeling on the x and the y axis. • Color fonts for the title and axis labels (not dark blue or black) • Large font for the title (at least 16 point) • Include a legend • Format the background (chart area/walls) of the graph with a texture – use one that is easy to see. • Be sure that if any headings or numbers in the worksheets change, these changes are automatically reflected in your chart. • Add a star or banner shape between the two charts and add your name. Be sure the text is part of the shape (not a shape and a separate text box). Part 4 – Finishing Up • Be sure your worksheet tabs are named correctly and if possible, make each worksheet tab a distinctly different color. If your version of Excel doesn’t allow this, don’t worry about it. But do delete any additional worksheets in the workbook. • Create a title in the first row of your summary worksheet. Use the merge and center feature (across all columns with data) and a larger font & different font color (not blue or black). Also add a background color. Add a comment with your email address and the date your spreadsheet was created. • Below the title, add a row with the current date (use the today or now formula) so it is updated whenever the spreadsheet is opened). • Check your formulas, be sure they are correct and make sense. For example, if you are subtracting 2 numbers don’t use the SUM formulas (sum is for adding). Excel may figure out what you mean, but we want the formulas to be used correctly (show that you understand how to use them). • Check your worksheet for errors! Potential errors in cells show up as small green triangles in the top left corner of each cell. Do a little Googling on error checking for your version of Excel and be sure you have error checking turned on and that you reconcile each error so they don’t display when we open your project for grading. Sample: Project Submission Instructions / Notes: • Office/online hours get busy as deadlines approach. If you procrastinate and wait until the last days to work on your project, you may not be able to get all the help you want. • The only way we can fairly grade the projects is if we check for each requirement. Please go through the instructions before you submit & be sure you have done each one correctly so you don’t miss out on points. Compare your solution to the project overview. • Submitting: o Remember to leave all of the internal file properties intact for your project, if they are modified or deleted, you project won’t be accepted (see syllabus for more on this). o Read and follow the instructions in the Assignments section of Canvas on uploading and checking your upload. If you follow these instructions you can ensure that your project is uploaded correctly (and is the correct project). Be sure that Access / Excel are closed before you try to upload your project files. o If your project doesn’t upload correctly before the due date, it will be considered late and be assessed the late penalty – even it was finished on time. This is the only way we can ensure that students check their Canvas submissions. • Technology problems relating to your home computer (Windows based or Mac), internet connection or slow Canvas access are not valid excuses for late/missing work, unless Canvas is down for 6+ hours on the due date. Computers at USF computer labs and the library are available; leave enough time to access them as needed. Also give yourself enough time that if a TA can’t answer a question, you’ll have time to contact me & I can either help you or make an allowance in your grade. If you wait until the last days, I may not be able to do either.

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Sex, Gender, and Popular Culture Spring 2015 Look through popular magazines, and see if you can find advertisements that objectify women in order to sell a product. Alternately, you may use an advertisement on television (but make sure to provide a link to the ad so I can see it!). Study these images then write a paper about objectification that deals with all or some of the following: • What effect(s), if any, do you think the objectification of women’s bodies has on our culture? • Jean Kilbourne states “turning a human being into a thing is almost always the first step toward justifying violence against that person.” What do you think she means by this? Do you agree with her reasoning? Why or why not? • Some people would argue that depicting a woman’s body as an object is a form of art. What is your opinion of this point of view? Explain your reasoning. • Why do you think that women are objectified more often than men are? • How does sexualization and objectification play out differently across racial lines? • Kilbourne explains that the consequences of being objectified are different – and more serious – for women than for men. Do you agree? How is the world different for women than it is for men? How do objectified images of women interact with those in our culture differently from the way images of men do? Why is it important to look at images in the context of the culture? • What is the difference between sexual objectification and sexual subjectification? (Ros Gill ) • How do ads construct violent white masculinity and how does that vision of masculinity hurt both men and women? Throughout your written analysis, be sure to make clear and specific reference to the images you selected, and please submit these images with your paper. Make sure you engage with and reference to at least 4 of the following authors: Kilbourne, Bordo, Hunter & Soto, Rose, Durham, Gill, Katz, Schuchardt, Ono and Buescher. Guidelines:  Keep your content focused on structural, systemic, institutional factors rather than the individual: BE ANALYTICAL NOT ANECDOTAL.  Avoid using the first person or including personal stories/reactions. You must make sure to actively engage with your readings: these essays need to be informed and framed by the theoretical material you have been reading this semester.  Keep within the 4-6 page limit; use 12-point font, double spacing and 1-inch margins.  Use formal writing conventions (introduction/thesis statement, body, conclusion) and correct grammar. Resources may be cited within the text of your paper, i.e. (Walters, 2013).

Sex, Gender, and Popular Culture Spring 2015 Look through popular magazines, and see if you can find advertisements that objectify women in order to sell a product. Alternately, you may use an advertisement on television (but make sure to provide a link to the ad so I can see it!). Study these images then write a paper about objectification that deals with all or some of the following: • What effect(s), if any, do you think the objectification of women’s bodies has on our culture? • Jean Kilbourne states “turning a human being into a thing is almost always the first step toward justifying violence against that person.” What do you think she means by this? Do you agree with her reasoning? Why or why not? • Some people would argue that depicting a woman’s body as an object is a form of art. What is your opinion of this point of view? Explain your reasoning. • Why do you think that women are objectified more often than men are? • How does sexualization and objectification play out differently across racial lines? • Kilbourne explains that the consequences of being objectified are different – and more serious – for women than for men. Do you agree? How is the world different for women than it is for men? How do objectified images of women interact with those in our culture differently from the way images of men do? Why is it important to look at images in the context of the culture? • What is the difference between sexual objectification and sexual subjectification? (Ros Gill ) • How do ads construct violent white masculinity and how does that vision of masculinity hurt both men and women? Throughout your written analysis, be sure to make clear and specific reference to the images you selected, and please submit these images with your paper. Make sure you engage with and reference to at least 4 of the following authors: Kilbourne, Bordo, Hunter & Soto, Rose, Durham, Gill, Katz, Schuchardt, Ono and Buescher. Guidelines:  Keep your content focused on structural, systemic, institutional factors rather than the individual: BE ANALYTICAL NOT ANECDOTAL.  Avoid using the first person or including personal stories/reactions. You must make sure to actively engage with your readings: these essays need to be informed and framed by the theoretical material you have been reading this semester.  Keep within the 4-6 page limit; use 12-point font, double spacing and 1-inch margins.  Use formal writing conventions (introduction/thesis statement, body, conclusion) and correct grammar. Resources may be cited within the text of your paper, i.e. (Walters, 2013).

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All of the following are characteristics of a productive group except for one : a) Feedback is given freely and accepted without defensiveness b) Members are willing to give each other advice c) Communication among members is open and direct d) If trust is lacking, members are willing to express what makes it difficult for them to feel safe in the group e) There is a focus on what is occurring here and now within the group

All of the following are characteristics of a productive group except for one : a) Feedback is given freely and accepted without defensiveness b) Members are willing to give each other advice c) Communication among members is open and direct d) If trust is lacking, members are willing to express what makes it difficult for them to feel safe in the group e) There is a focus on what is occurring here and now within the group

answer b
INEN 415 Simulation Lab 6 Fall 2015 Due Date: November 24th, 2015 (Submit via Blackboard) Description A small pizza delivery outlet in a busy metro area opens only for the lunch and dinner hours; for lunch from 11AM to 4PM and for dinner from 6PM to 11PM. Orders for single pizzas (no other orders are accepted) arrive with an inter-arrival time that is exponentially distributed with a mean of 3.25 minutes. (Need to create a rate table, see lab 5) The inside operations are handled by an OrderTaker, two IronChef, and an OvenMeister named Cruz. The outlet has one oven with a capacity of five pizzas. Two drivers driving Mustangs handle the deliveries. Timmy takes orders (for order-taking assume a triangular distribution with parameters 1, 2, 3 minutes). The IronChefs make the pizza including adding of toppings (assume a triangular distribution with parameters 2, 2.5, 3 minutes). When the pizza is made (but not cooked), the IronChefs places it in a Load Area in front of the oven. Cruz picks up the pizza from the Load Area and places the pizza in the oven (assume a triangular distribution with parameters 10, 15, 20 seconds) (Cruz is a worker) The cook time in the oven requires 15 minutes (fixed), and does not require any supervision; a buzzer alerts Cruz whenever any pizza has completed its oven time. When the pizza has cooked in the oven, Cruz takes the pizzas out of the oven (assume a triangular distribution with parameters 10, 15, 20 seconds). He carries the pizza to the Box Area. Where Cruz boxes the pizza (assume a triangular distribution with parameters 30, 45, 60 seconds) and leaves it in an area for the delivery people, who can transport a maximum of 5 pizzas (Triangular 10,20,30). Note: Cruz moves between Load Area, Oven, and Box Area. Assume travel times are negligible. Drivers take the pizza to the sink. Run model for 16 hours to ensure all pizzas are made. Simulate operations for one day using two scenarios: 1. The data as given above. 2. Inter-arrival rate decreases to 3 minutes.   Deliverable(s) I. Objectives a. Clearly define the objective(s) of the project. II. System Description / Modeling Approach a. Describe the model (personnel, processes, etc.) III. Input Data Requirements a. Describe the data collected to be used in the model. IV. Simulation Model a. Simulation Model (Screen shot of SIMIO model) V. Results / Conclusions Compare the following statististics for the two scenarios in a table. 1. Number of pizzas delivered. 2. Utilization of the all three personnel types. 3. Time in System for an order. VI. Discussion a. Based on the data provided, will the system have issues? b. As the IE professional, suggest possible changes to the system and clearly explain why such changes may improve the process. Tutorials/Simbits 1. Workers using work schedule (Simbit) 2. Single Vehicle Usage (Simbit) 3. Check on YouTube, they have many videos that can help!

INEN 415 Simulation Lab 6 Fall 2015 Due Date: November 24th, 2015 (Submit via Blackboard) Description A small pizza delivery outlet in a busy metro area opens only for the lunch and dinner hours; for lunch from 11AM to 4PM and for dinner from 6PM to 11PM. Orders for single pizzas (no other orders are accepted) arrive with an inter-arrival time that is exponentially distributed with a mean of 3.25 minutes. (Need to create a rate table, see lab 5) The inside operations are handled by an OrderTaker, two IronChef, and an OvenMeister named Cruz. The outlet has one oven with a capacity of five pizzas. Two drivers driving Mustangs handle the deliveries. Timmy takes orders (for order-taking assume a triangular distribution with parameters 1, 2, 3 minutes). The IronChefs make the pizza including adding of toppings (assume a triangular distribution with parameters 2, 2.5, 3 minutes). When the pizza is made (but not cooked), the IronChefs places it in a Load Area in front of the oven. Cruz picks up the pizza from the Load Area and places the pizza in the oven (assume a triangular distribution with parameters 10, 15, 20 seconds) (Cruz is a worker) The cook time in the oven requires 15 minutes (fixed), and does not require any supervision; a buzzer alerts Cruz whenever any pizza has completed its oven time. When the pizza has cooked in the oven, Cruz takes the pizzas out of the oven (assume a triangular distribution with parameters 10, 15, 20 seconds). He carries the pizza to the Box Area. Where Cruz boxes the pizza (assume a triangular distribution with parameters 30, 45, 60 seconds) and leaves it in an area for the delivery people, who can transport a maximum of 5 pizzas (Triangular 10,20,30). Note: Cruz moves between Load Area, Oven, and Box Area. Assume travel times are negligible. Drivers take the pizza to the sink. Run model for 16 hours to ensure all pizzas are made. Simulate operations for one day using two scenarios: 1. The data as given above. 2. Inter-arrival rate decreases to 3 minutes.   Deliverable(s) I. Objectives a. Clearly define the objective(s) of the project. II. System Description / Modeling Approach a. Describe the model (personnel, processes, etc.) III. Input Data Requirements a. Describe the data collected to be used in the model. IV. Simulation Model a. Simulation Model (Screen shot of SIMIO model) V. Results / Conclusions Compare the following statististics for the two scenarios in a table. 1. Number of pizzas delivered. 2. Utilization of the all three personnel types. 3. Time in System for an order. VI. Discussion a. Based on the data provided, will the system have issues? b. As the IE professional, suggest possible changes to the system and clearly explain why such changes may improve the process. Tutorials/Simbits 1. Workers using work schedule (Simbit) 2. Single Vehicle Usage (Simbit) 3. Check on YouTube, they have many videos that can help!

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