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OM 455       Section 001       Course Grading Scale Based on Course Average:     Lower Upper Course   Limit Limit Grade   0 59 F   60 69 D   70 79 C   80 89 B   90 100 A           Midterm Final Course Last Name Score Score Average Alt 69 51 60.0 Amini 90 89 89.5 Amoako 82 78 80.0 Apland 43 77 60.0 Bachman 66 44 55.0 Corder 88 96 92.0 Desi 82 74 78.0 Dransman 58 76 67.0 Duffuor 75 89 82.0 Finkel 95 98 96.5 Foster 90 88 89.0 Fuss 74 77 75.5 George 67 90 78.5 Gerson 79 72 75.5 Girling 58 66 62.0 Greer 92 96 94.0 Guerro 67 77 72.0 Hager 64 90 77.0 Heilman 79 85 82.0 Hibbard 94 94 94.0 Hills 62 52 57.0 Hughes 76 92 84.0 Hutchison 83 93 88.0 Jackson 81 95 88.0 Kassner 85 90 87.5 Kelcik 69 84 76.5 Kern 41 75 58.0 Kinner 51 86 68.5 Lair 86 96 91.0 Marsh 88 94 91.0 Martini 65 85 75.0 Mattlin 76 82 79.0 McGough 73 74 73.5 Miller 61 80 70.5 Minnick 58 88 73.0 Minster 66 64 65.0 Mueller 68 91 79.5…

Set up Order [ single order ) Assign seats [ subscription ) Assign chairs Award bonus Debit Account charge credit card Mail packet

true/false Both professor and assistant can create a new course (use case Create course) (  )

Sample invoice is given as follows: International Conference on Mathenatical Sciences and Technology (MathTech) Invoice Date Invoice No Name : 20 January 2022 : 0001 : Muhammad Irfan Ali : Presenter Category Accommodation (Y/N) : Y Conference Fee Acconnodation Fee Total Amount Due (RM) : 1290.00 : 990.00 : 300.00 Terms & Conditions Payment is due within 30 days. Please make payment via online banking to Maths USM (RHB: 1234554321) You are encouraged to add on extra features to your program. Proceed to Part 2 only if you have completed Part 1. Part 2: Create Invoice via File Processing a. Modify the program in Part 1 to read in the file provided, File.txt. b. Use array structure in your program. c. Print all 5 receipts continuously to Dutput.txt. amusm.my Sie samms Malaysia

Student_Grade Student ID Course Code Semester 1-2019-2020 Mark Grade 20195605 A0313401 87 20195606 A0313402 1-2019-2020 81 20191200 A0312305 3-2018-2019 77 20205305 A0313401 1-2019-2020 91 20205306 A0313402 1-2019-2020 78 20201202 A0312305 3-2018-2019 81 1) Create the table 2) Insert the data 3) Assign a letter grade to the "Grade" according to the following rules: a. If the mark is greater or equal to 90, assign "A" b. If the mark is between 80 and 89, assign "B" c. If the mark is less than 80, assign "C"

Use the given data to classify the record below using the k-NN algorithm for k = 1 to 5. Loan Purpose Checking Repairs Savings Months Customer Employed Months 0 900 25 4 Click the icon to view the table of classified records. D Complete the table below for the nearest neighbors and for the classification of the new record for each value of k. k Distance Classification 1 2 3 4 5 (Round to four decimal places as needed.)

TABLE 4-6 Parking Tickets at Millennium College Parking Ticket Table St ID L Name F Name Phone No St Lic Lic No Ticket # Date Code Fine 38249 Brown Thomas 111-7804 FL BRY 123 15634 10/17/12 2 $25 16017 11/13/12 1 $15 82453 Green Sally 391-1689 AL TRE 141 14987 10/05/12 $100 16293 11/18/12 1 $15 17892 12/13/12 2 $25 1. Convert to INF Relation 2. Draw dependency diagram showing all functional dependencies 3. Identify anomalies 4. Convert to 3NF Relations 5. Develop EER Diagram with appropriate cardinalities

1. Write a database description for each of the relations shown, using SQL DDL (shorten, abbreviate, or change any data names, as needed for your SQL version). Assume the following attribute data types: StudentID (integer, primary key) StudentName (25 characters) FacultylD (integer, primary key) FacultyName (25 characters) CourselD (8 characters, primary key)

#DATE TIME-TEMPERATURE UNIT HUMIDITY%9/28/2010 15:45:14 22.248900 C 44.7219689/28/2010 16:00:07 22.738900 C 50.5399939/28/2010 16:15:07 23.388900 C 49.3393389/28/2010 16:30:07 23.918900 C 47.5392809/28/2010 16:45:08 23.668900 C 40.700378The first line is just a comment, and is there to help a human understand the data that they are seeing; it should be ignored (hint:  any line beginning with '#' ought to be skipped.)   Write a program to read the data from the file and produce the average temperature and average humidity for all the records in the file. This is a very large file - it is the actual temperature and humidity data from our server room.  You would spend hours trying to do this manually, with a calculator, and you likely would make mistakes along the way.  This is where computers are far superior to humans when dealing with boring, repetitive tasks. The output of the program will look like this: Average Temperature (C): NN.NNNNNNNNNNNNNN Average Humidity (%):…

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Task 3: Amazon wants to find the best customer and likes to reward 50% discount on his next purchase. Find the Customer with the highest amount of total purchase amount. The output should the one as below: ]: 1 from IPython.display import Image 2 Image(filename = "Screenshot_72.jpg') ]: Custoner ID:16229 is the best custoner since he has spent a lot on our business. His total purchase amount is 3702.12 pesos.5e1 discount will be given on his next purchase

DB - Normalization   Question # 1 Patient Medication Form   Patient Number:  P10034 Full name: Elbert McDonald                 Ward Number: Ward 11 Bed Number: B4                                    Ward Name: Orthopaedic   Drug Number Name Description Dosage Method of Admin Unit per Day Start Date Finish Date 10223 10334 10223 Morphine Tetracyclene Morphine Pain Killer Antibiotic Pain Killer 10mg/ml 0.5mg/ml 10mg/ml Oral IV Oral 50 10 10 24/03/04 24/03/04 25/04/05 24/04/05 17/04/04 02/05/06   Examine the Patient Medication Form above: Put the above form into a relation schema Identify the functional dependencies. Describe and illustrate the process of normalization to produce 3NF relations.   Question#2: Given the following Theatre Database form:    No.of seats:500                          Owner: J.Martin         Year Founded: 1890 Owner’s Phone: 2347756         - - - - -   Play Name Play Type No. of performances…

PET ID PET NAME PET TYPE PET AGE OWNER VISIT DATE PROCEDURE 246 ROVER DOG 12 SAM COOK JAN 13/2002MAR 27/2002APR 02/2002 01 - RABIES VACCINATION10 - EXAMINE and TREAT WOUND05 - HEART WORM TEST 298 SPOT DOG 2 TERRY KIM JAN 21/2002MAR 10/2002 08 - TETANUS VACCINATION05 - HEART WORM TEST 341 MORRIS CAT 4 SAM COOK JAN 23/2001JAN 13/2002 01 - RABIES VACCINATION01 - RABIES VACCINATION 519 TWEEDY BIRD 2 TERRY KIM APR 30/2002APR 30/2002 20 - ANNUALCHECK UP12 - EYE WASH The functional dependencies that I note are as follows: Pet ID --> Pet Name, Pet Type, Pet Age, Owner Pet ID, Visit Date --> {Visit Procedure} (the set of visit procedures), note the use of procedure codes that repeat, but are listed in their own column So, Is there are other functional dependencies? If so, what are they? If not, why not? Do you believe it would help to create additional attributes during normalization? If so, what are they? If not, justify why it's not needed. Please help me understand this.

Matlab  source link:https://drive.google.com/file/d/10gTOEg2U7_xnIU0uluW4cjdXcFMrhDkV/view?usp=sharing

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Patient Medication Form                                                                Patient Number:  P10034 Full name: Elbert McDonald                                                 Ward Number: Ward 11 Bed Number: B4                                                                   Ward Name: Orthopaedic   Drug Number Name Description Dosage Method of Admin Unit per Day Start Date Finish Date 10223 10334 10223 Morphine Tetracyclene Morphine Pain Killer Antibiotic Pain Killer 10mg/ml 0.5mg/ml 10mg/ml Oral IV Oral 50 10 10 24/03/04 24/03/04 25/04/05 24/04/05 17/04/04 02/05/06     Examine the Patient Medication Form above: Put the above form into a relation schema Identify the functional dependencies. Describe and illustrate the process of normalization to produce 3NF relations.         Question#2: Given the following Theatre Database form:    No.of seats:500                          Owner: J.Martin Year Founded: 1890 Owner’s…

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Patient Medication Form                                                                Patient Number:  P10034 Full name: Elbert McDonald                     Ward Number: Ward 11 Bed Number: B4                                        Ward Name: Orthopaedic   Drug Number Name Description Dosage Method of Admin Unit per Day Start Date Finish Date 10223 10334 10223 Morphine Tetracyclene Morphine Pain Killer Antibiotic Pain Killer 10mg/ml 0.5mg/ml 10mg/ml Oral IV Oral 50 10 10 24/03/04 24/03/04 25/04/05 24/04/05 17/04/04 02/05/06   Examine the Patient Medication Form above: Put the above form into a relation schema Identify the functional dependencies.

ID Student Number Surname Name Test 1 Test 2 Test 3 Test 4 Final mark PASS/FAIL 1 217545455 Johaness Wheeler 45% 34% 49% 21% 37 FAIL 2 217452154 David Albertina 45% 34% 49% 4% 33 FAIL 3 217454151 Waldo Gertze 75% 75% 63% 88% 75 PASS 4 217486414 Kalimbo Andreas 51% 56% 90% 90% 72 PASS 5 217454155 Hakweenda Junior 44% 28% 35% 14% 30 FAIL Answer  the following  questions using the table above  Use student 2017 table to create a query that will display Student Number, Surname, Name and Pass/Fail field for all the students whose final result is "PASS". Save the query as "Pass".     Use student 2017 to create a query that will display the student's surname and final mark field for all the students whose final mark is between 0 -  40. Save the query as "Fail"         Use student 2017 to create a query that will display the student number and surname for all the students whose surname consist of letter "O" in it. Save the query as "Surname".

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Program language: Python Prompt: Divide the dataset into different three classes (i.e., Iris Setosa, Iris Versicolour, Iris Virginica)  and create histograms for each feature. Include program syntax Data: http://archive.ics.uci.edu/ml/machine-learning-databases/iris/iris.data

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Table name: EMPLOYEE EMP_NUM EMP_LNAME 215 Smith 216 Romero 217 Randall 218 Aarden Table name: EMP_EDUC EMP_NUM EDU_CODE EE YEAR 2002 1991 1994 1989 2004 2002 1985 1992 2000 1990 2000 2005 1984 1995 215 84 215 HS 215 JC 216 B4 216 CDP 216 CNP 216 HS 217 HS 217 JC 218 B4 218 CDP 218 CNP 218 HS 218 M2 Table name: EDUCATION EDU_CODE EDU_DESCRIPTION 34 CDP CNP CPA DR HS JC M2 Bachelor's degree Certified data Processing Certified Network Professional Certified Public Accountant Earned Doctorate degree Highschool diploma Junior College degree Master's degree

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Table below shows the number of students enrolled in public university for the study field of Science, Mathematics & Computing by programme level and year. Programme Level Year Number of Students Diploma 2019 17373 Bachelor 2019 51640 Master 2019 6918 Doctorate 2019 6292 Diploma 2018 15987 Bachelor 2018 51128 Master 2018 7200 Doctorate 2018 6331 Diploma 2017 15236 Bachelor 2017 49970 Master 2017 6985 Doctorate 2017 648

INVOICES INVOICE LINE INVOICE NUM INVOICE DATE CUST ID 11/15/2021 INVOICE NUM ITEM ID QUANTITY 14216 QUOTED PRICE 14216 125 CA75 $37.99 14219 11/15/2021 227 14219 AD72 $79.99 14222 11/16/2021 294 14219 DT12 4. $39.99 14224 11/16/2021 182 14222 LD14 $47.99 14228 11/18/2021 435 14224 KH81 4. $18.99 14231 14233 14237 11/18/2021 11/18/2021 125 14228 FS42 $124.99 435 14228 PF19 1. $74.99 11/19/2021 616 14231 UF39 2. S189.99 14233 KH81 $19.99 QB92 WB49 LP73 14233 $109.95 14233 $74.95 14237 $54.95 ТЕМ ITEM ID DESCRIPTION ON HAND CATEGORY LOCATION PRICE Dog Feeding Station Fenthers Bird Cage (12x24x18) AD72 12 DOG B. $79.99 10 BRD B $79.99 CA75 Enclosed Cat Litter Station 15 CAT $39.99 Dog Toy Gift Set Fly Mask with FRars Folding Saddle Stand Aquarium (55 Gallon) DT12 27 DOG B $39.99 FM23 41 HOR $24.95 FS39 12 HOR $39.99 FS42 FSH A. $124.99 KHS1 LD14 Wild Bird Food (25 Ib) 24 BRD $19.99 Locking Small Dog Door 14 DOG $49.99 LP73 Lange Pot Carrier 23 DOG $59.99 Pump & Filter Kit Quilted Stable…

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