Your undergraduate thesis topic is “Gaussian Process Prediction of Stock Price T

Your undergraduate thesis topic is “Gaussian Process Prediction of Stock Price Trends”.apply GPR to real dataset. Find some stock datasets from the web (such as UCI repository), and try to scratch to make predictions of the stock price (training then test). Prior knowledge about cross validation is recommended. Then analysis and make performance evaluations of your predictions. You may review some experimental performance terms such as root mean square error, mean absolute error etc. After you have done all, you can now collect all your work into your graduate thesis.

WHILE loops were fun last week. I still challenge any of you to find something y

WHILE loops were fun last week. I still challenge any of you to find something you do every day that you think is NOT inside of a while loop. I promise you everything we do we are doing it until a condition changes. This week, we are discussing FOR loops. FOR loops have some of the same components as a WHILE loop but are extremely useful when you know exactly how many times you need to do something.
What do you see as the primary reason to use a for loop? Does it have any limitations? How do you write one?

Create a list consisting of at least ten specific requirements for the network y

Create a list consisting of at least ten specific requirements for the network you are designing. Explain each requirement in terms of the needs of the business you have chosen to work with. Below is the network (scenario) that I chose to design: ******Star Smoothie in Summerville, South Carolina specializes in smoothies but also sells light breakfast and lunch items as well as coffee, tea, and soda. The owner noticed that many customers bring their computers to do work while enjoying a smoothie. He wants to support these customers by offering them wireless Internet access. A recent customer survey also indicated that many customers loved the smoothies but were frustrated by the time to wait in line and to wait for the smoothie to be made. One of the employees suggests that an order-ahead application would allow customers to choose and pay for a smoothie from their phones and then just stop in at the specified time to pick them up. The owner wants to integrate support for making and fulfilling such orders. Currently the only forms of communication the shop owners have are a telephone and a credit card machine for payments. The owner has asked you to design a network that will allow customer Internet access, will support the order-ahead idea, and will allow Employees to move inventory, finances, and other records to electronic systems.******** Just an FYI that examples of the specific requirements for the network (scenario) as mentioned above could include: Password-protected guest wireless access: The business wants to allow customers to access the Internet, but does not want general open access. This customer access should not give access to other network resources or computers and should not allow customers to access one another’s computers when logged on. Shared data storage with version control: Employees often collaborate on documents and other materials. Common, shared access is needed for these materials. Employees should know when someone else is working on the materials or when changes have been made to support collaboration without inadvertently losing work. Internet access: All computers on the company network need to be able to access the Internet through a shared modem.

Instructions The last chapter of your textbook investigates the search and adver

Instructions The last chapter of your textbook investigates the search and advertising functions of Google. For your final case study, you need to write a 2000-word essay about Google and the future of computing, going beyond what is discussed in the textbook. While Google is best known for their search and advertising features, they actually have a multi-billion dollar research and development department that works on technologies ranging from self-guided cars to renewable energy. Your task is to research Google and discover at least 2 technologies Google is currently developing, other than the search, advertising, and Gmail features that we are already familiar with (in addition to the self-guided car, which everyone will write about). You need to write at least 500 words (approximately 1 – 1 1/2 pages) each about 3 different Google technologies (one of which will be the self-guided car and 2 of which are your own choice), plus an introduction and conclusion, for a total of a 2000-word essay. Make sure you write in your own words, while also listing your references at the end of your essay (minimum of 6 references — 2 per technology). Your essay will automatically be checked for plagiarism by TurnItIn. There must be no more than 15% similarity to sources to receive credit for this assignment. For each technology, summarize the technology and discuss the impacts (both positive and negative) that the technology is likely to have on society. If there are any ethical issues or dilemmas related to the technology, be sure to discuss those, as well. Specific details about what to include in each section can be found in the attached template. Since this is an essay, make sure you write in full sentences and in complete paragraphs, and not in lists or phrases. Thank you! Please let me know if you have any questions! Here are some links to get you started in your research into Google — Google’s Self-Driving Cars (also called “Waymo”): https://waymo.com/ Google’s Sustainability (and Renewable Energy): https://sustainability.google/ Research at Google: http://research.google.com/ Google Products: http://www.google.com/intl/en/about/products/index.html

of Optilandia.Optimisation problemYour task is to schedule LPG delivery so that

of Optilandia.Optimisation problemYour task is to schedule LPG delivery so that the overall cost of delivery is minimised, while making sure that:1.each lorry startsfrom its home depot andreturnsto any depot at the end of the journey,2.you deliver to all customerswho have less than 20% of gas in their tanks,3.you fill thetanks of these customersto at least 50% of their capacity.You are required to design and implement anoptimisation schemeto address the LPG delivery scheduling problem.The optimisation scheme should use any combination of methods covered in class (e.g. Genetic Algorithms, Ant Colony Optimisation) as well as methods you have found during your independentstudy or which you came up with yourself. Your implementation mustbe in Python. Youare allowed to use existing Python optimisation libraries or implementations if you need to, but you should aim to implement as much as possiblefrom scratch yourself.Youmust applyyour implementation to the LPG delivery scheduling problemand critically evaluate the results, commenting onstrengths and weaknessesof the approachyou have usedin terms of quality of the solution, running timE. inTable 1and Table 2.Solution formatThe file SaO_Optilandia_resub_example_solution.jsoncontains an example solution.A solutionfile contains a list of lorry journeys, where each journeyincludes the lorry identifierand a list of tuples consisting of locationidentifierand the amount of gas loaded to the tanker (positive number) or dropped off at a customer (negative number)at this location.Anexample journeyis given below:{‘lorry_id’: ‘125-0’, ‘loc’: [(125,4),(595,-0.099),(469,-0.37),(125,0)]}wherethe interpretation of locis as follows:(125,5)–load 4tonnes of LPG at location 125(depot)(595,-0.099) –go to next location (595–customer) and drop off 0.099tonnesof LPG(469,-0.37) –go to next location (469–customer) and drop off 0.37tonnes of LPG(125,0) –go back to depot (location 125)

Background In this assignment you will address a real-world problem of delivery

Background In this assignment you will address a real-world problem of delivery planning for the LPG (Liquefied Petroleum Gas) distributor. In areas where mains gas for heating purposes is not available, LPG is the closest alternative. It has the lowest carbon emissions per kWh out of fossil fuels available in the rural areas, does not pose any ground or water pollution hazards and can be used for both heating and cooking. LPG distribution companies source the fuel from major oil refineries and deliver it to the bulk customers by a fleet of tanker lorries like the one in Figure 1. Figure 1. Tanker lorry. You have been employed by SaO Gas Resub Ltd as a data scientist. You are to produce a delivery schedule for the fleet of 10 tanker lorries operating from 4 depots in the country of Optilandia (which surprisingly use £ as their currency), minimising the overall cost of delivery for the distributor under certain constraints. SaO Gas Resub Ltd operates three types of tankers as shown in Table 1. Medium 11 1.60 0.90 Table 1. Tanker lorries operated by SaO Gas Resub Ltd. As an example, a large tanker can be loaded with up to 24 tonnes of LPG at one of the depots (you can assume that depots never run out of gas). It costs the distributor £2.20 per mile to use the large tanker (even if it is empty) plus £0.45 per mile for every tonne of LPG the tanker carries. June 2019 v1 Faculty of Science and Technology – Department of Computing & Informatics Unit Title: Search and Optimisation Resubmission Assessment Title: Algorithm Design for an Optimisation Problem Unit Level: 7 Credit Value of Unit: 20 Marker(s): Kevin Wilson, Iftekhar Mahmud Towhid, Marcin Budka Assessment Number: 1 of 1 Date Issued: Submission Due Date: 16/04/2021 Time: 12.30pm Quality Assessor: Prof. Hamid Bouchachia Submission Location: Jupyter Notebook (Brightspace) Solution file (Brightspace) Video Presentation (Brightspace) Feedback method: Brightspace This is individual assignment which carries 100% of the final unit mark Tanker type Capacity [tonnes] Cost per mile [£] Cost per mile per tonne [£] Small 4 1.00 1.40 Large 24 2.20 0.45 Page 1 of 5 June 2019 v1 For example, a large tanker with 10 tonnes of LPG travelling 20 miles costs: 20 [miles] x (2.20 [£] + 10 [tonnes] x 0.45 [£]) = 134 [£]. However, after dropping 2 tonnes of LPG at a customer, the next 20 miles travelled will cost less as the lorry is now lighter: 20 [miles] x (2.20 [£] + 8 [tonnes] x 0.45 [£]) = 116 [£]. SaO Gas Resub Ltd operates from four depots as shown in Table 2. The road network of Optilandia has been depicted in Figure 2, with the red dots denoting locations of the four depots, and the green dots denoting locations of SaO Gas Resub customers. 2 #125 1 2 0 4 #372 1 1 0 Depot Location ID Small tankers Medium tankers Large tankers 1 #522 2 0 1 3 #117 1 1 0 Optimisation problem Table 2. SaO Gas Resub depots. Figure 2. Road network of Optilandia. Your task is to schedule LPG delivery so that the overall cost of delivery is minimised, while making sure that: 1. each lorry starts from its home depot and returns to any depot at the end of the journey, 2. you deliver to all customers who have less than 20% of gas in their tanks, 3. you fill the tanks of these customers to at least 50% of their capacity. You are required to design and implement an optimisation scheme to address the LPG delivery scheduling problem. The optimisation scheme should use any combination of methods covered in class (e.g. Genetic Algorithms, Ant Colony Optimisation) as well as methods you have found during your independent study or which you came up with yourself. Your implementation must be in Python. You are allowed to use existing Python optimisation libraries or implementations if you need to, but you should aim to implement as much as possible from scratch yourself. You must apply your implementation to the LPG delivery scheduling problem and critically evaluate the results, commenting on strengths and weaknesses of the approach you have used in terms of quality of the solution, running time etc. Dataset The dataset for this assignment can be downloaded from here, and consists of three files: 1. SaO_Optilandia_resub_locations.csv 2. SaO_Optilandia_resub_links.csv 3. SaO_Optilandia_resub_depot_lorries.json Page 2 of 5 The SaO_Optilandia_resub_locations.csv file contains the following columns: id – Location ID x,y – coordinates of a location; Optilandia lives on a flat version of Earth, so the Euclidean distance between two locations is what you should use (no need to use Haversine for example); the Euclidean distance is expressed in miles is_depot – True if a location is one of the four depots is_customer – True if a location is one of the customers capacity – capacity of the tank in tonnes (only for locations where is_customer ==True) level – current gas level in the tank in tonnes (only for locations where is_customer ==True) The SaO_Optilandia_resub_links.csv file contains the following columns: id1,id2 – Location IDs connected by a road segment The SaO_Optilandia_resub_depot_lorries.json file contains information about the types and capacities of tanker lorries in each depot as given in Table 1 and Table 2. Solution format The file SaO_Optilandia_resub_example_solution.json contains an example solution. A solution file contains a list of lorry journeys, where each journey includes the lorry identifier and a list of tuples consisting of location identifier and the amount of gas loaded to the tanker (positive number) or dropped off at a customer (negative number) at this location. An example journey is given below: { ‘lorry_id’: ‘125-0’, ‘loc’: [(125,4),(595,-0.099),(469,-0.37),(125,0)] } where the interpretation of loc is as follows: (125,5) – load 4 tonnes of LPG at location 125 (depot) (595,-0.099) – go to next location (595 – customer) and drop off 0.099 tonnes of LPG (469,-0.37) – go to next location (469 – customer) and drop off 0.37 tonnes of LPG (125,0) – go back to depot (location 125

The comupter programs must be written using Matlab/Octave/Python, and you must h

The comupter programs must be written using Matlab/Octave/Python, and you must have a copy of your code in addition to the program output. Please put your code on a separate page. 1. A progressive golf course has added a twist to its offerings: a carnival-type game in which the golfer has to hit a ball through an opening that’s a good distance away. The catch is that a door immediately starts to close over the opening as soon as the ball is struck. Assume that the golfer can start the ball off at v = 40 m/s. The height of the opening is initially L2, and the golfer is a distance L4 from the wall. The door begins to close the opening (moving from bottom to top) at the instant he strikes the ball and moves at a speed vB. What you want to know is what launch angles ? will allow the ball to pass through the part of the opening that isn’t yet covered. L1 =14m,L2 =25m,L3 =2m,L4 =100m,andvB =6m/s. Do parts a-d by hand and show your calculations. Use the equation editor to submit your work. (a) Construct a coordinate system with its origin at the golfer’s feet. (b) Calculate how long it takes for the ball to reach the wall. (c) Calculate the height of the ball when it reaches the wall. (d) Calculate the height of the door when the ball reaches the wall. (e) Write a computer program that plots the distance between the ball and the top of the door, the height of the ball, and the height of the door as a function of ?. From this plot, you should be able to determine the range of launch angles for which the ball will arrive at the wall below the top of the opening (A) and above the door (B). Also, plot the trajectories of the ball (Height (y) vs. Distance (x)) for the maximum and minimum launch angles in the range. (f) Modify the computer program in part e to take into account air resistance and redo the plots. Assume the drag force is: Fd = 0.5?CdAv2. Where ? = 1.2 kg/m3, Cd = 0.25, A = 1.45 × 10-3 m2. Use the fourth-order Runge- Kutta algorithm to solve the differential equation (SF = mx ¨). Hint: the differential equation should be written in terms of position. (g) Write a paragraph describing what the effect of air-resistance is on the launch angles needed and the trajectories of the golf ball.

Develop a program that performs the following functions: 1. (5 Points) Requests

Develop a program that performs the following functions: 1. (5 Points) Requests the user to provide a name of a dataset (i.e., .csv file) to import. 2. (10 Points) Once the dataset is imported, the programs verifies a successful import by: a. Displaying a statement (e.g., “The dataset was successfully imported!”) b. Displaying the first five rows and last five rows in the dataset (i.e., in addition to the the column names and index numbers) 3. (50 Points) Next, the program generates a data quality report for all of the continuous features in the dataset. Comment: If there are no continuous features, the program will provide a message (e.g., “The dataset does not contain any continuous features”). 4. (10 Points) Then, the program identifies which continuous features have outliers (e.g., “The following features contain outliers: … ” ) using the “second approach” method outlined on page 69 within MLfPDA. 5. (50 Points) Next, the program generates a data quality report for the categorical features in the dataset. Comment: If there are no categorical features, the program will provide a message (e.g., “The dataset does not contain any categorical features”). 6. (15 Points) Lastly, the program will export the two data quality reports to two separate .csv files in the working directory. Use descriptive names for the files. Additional Criteria: (10 Points) Make sure your code is readable and include good comments throughout.

QUESTION 1 1. Before evaluating the risk assessment, there are performance steps

QUESTION 1 1. Before evaluating the risk assessment, there are performance steps that help guide the project manager to identify the threats and vulnerabilities targeting a specific system. One of those steps involves determining the impact of a risk. Why is this step so important in this process? Provide an example if it will help in the explanation. Your response must be at least 200 words in length. QUESTION 2 1. According to the unit readings, there are two methods to measure risk assessments. Summarize the two different risk assessment measures, and explain which one would provide a dollar amount figure for calculating assets. Why would this measurement be easier? Your response must be at least 200 words in length. QUESTION 3 1. We know that a threat causes assets potential danger, and the organization must identify these threats. What are two primary methods that an organization can use to identify threats? Explain one of those threat methods. Your response must be at least 200 words in length.

This is a coding project to build the simple game Pacman. I have attached two sc

This is a coding project to build the simple game Pacman. I have attached two screenshots of the source code provided to me. Please make sure to use the source code as it is important for the project. I have also attached a handout with the project specification. Here is also a Youtube video of the demo for what the finished project should look like. Thank you, please let me know if you have any questions. Your help is greatly appreciated. https://www.youtube.com/watch?v=cOzrpKSot5I