Digital design final

Help me take my digital design final on November 18th 8am-10am PST
help me take my digital design final live with me from 8am-10am pacific standard time. The final will be 2 hours long. i will send all the questions at 8am and the tutor will send back each answer as they finish. all the study guide materials are posted below.

 

Don't use plagiarized sources. Get Your Custom Essay on
Digital design final
Just from $10/Page
Order Essay

ELEC 340 Exam 1 Study Guide – 2020
Exam Details:
• Exam 1 is scheduled for Friday, October 2, 2020.
• The exam is closed books and closed notes.
• Exam is 55 minutes
• You may use a calculator unless otherwise noted for the problem. (Cell Phones are NEVER
permissible as calculators.)
• You are permitted to bring one side of an 8.5 x 11 sheet of paper with hand-written notes in
your handwriting with no photocopying or photoreduction.
• All solutions must be by method either taught in class or in the text and all work must be
shown for full credit.
General:
• All topics from class and lab are fair game for the exam.
• Problems can be derived from any examples done in class, any homework problem, or any
example in the covered text as well as from pre-lab and lab material.
Chapters Covered
Chapter 1 (Number systems)
Chapter 2 (Complete chapter)
Chapter 6 (Karnaugh Maps)
Labs Covered: 1-5
Exam Topics:
Number Systems
• Be familiar with unsigned binary and two’s complement binary
• Be able to convert between binary and decimal and decimal and binary without a calculator.
• Be able to convert between binary, hexadecimal, and Octal
• Be able to negate numbers by taking the 2’s complement of a number
• Know what Ascii is.
• Have a general understanding of binary number systems
• Be able to ADD unsigned binary numbers (required to complete lab 5)
Combinational Logic (Chapter 2)
• Be able to represent any function as a Boolean equation, a schematic or a truth table and be
able to go from one representation to another.
• Know DeMorgan
• Know Duality
• Know both methods for complementing a function
• Be able to apply and use Boolean laws.
• Know MINTERMS and MAXTERMS
• Be able to do SOP, POS, NAND-NAND, and NOR-NOR design and be able to go from one to
another.
Optimization (Chapter 6)
• Algebraic minimization
• Karnaugh Maps – Function Minimization 2,3, and 4 variable SOP
Not in Text
• Static Hazards (Glitches) – Know what glitches are and how to identify and resolve using a K-map
• Be able to do a POS design using k-map.
Lab Materials:
• Understand how to use discreet components to implement a logic function (SOP, POS, etc.)
• Be able to answer questions about the use of Vivado (and sequence of events)
• Know how to setup and use testbeds.
• Be familiar with VHDL to the extent covered in all labs.
• Be able to describe a function in VHDL using combinational representation
• Know the different data types (std_logic, std_logic_vector)
• Know how to code instantiation of multiple components.

 

 

EFFAT UNIVERSITY

COLLEGE OF ENGINEERING

DEPARTMENT OF INFORMATION SYSTEMS

 

 

 

 

Table of Contents

ABSTRACT.. 4

  1. INTRODUCTION/ BACKGROUND AND SIGNIFICANCE.. 5

1.1.         Introduction/background/overview/significance. 5

1.2.         Related research/Literature Review.. 5

1.3.         Motivation.. 5

1.4.         Referencing.. 5

  1. PROBLEM STATEMENT.. 6

2.1.         Overview.. 6

2.2.         Research Question/Hypothesis. 6

  1. AIMS AND OBJECTIVES. 7

3.1.         Aim.. 7

3.2.         Objectives. 7

  1. EXPECTED OUTCOMES/DELIVERABLES. 8
  2. STEPS TO BE TAKEN IN THE INVESTIGATION… 9

Phase 1: Starting the project. 9

Phase 2: Development of an analytical framework for efficient bank marketing.. 9

Phase 3: Development of the efficient classifier. 10

Phase 4: Verification and optimization of the model. 10

  1. RESEARCH DESIGN AND METHODS. 11

6.1.         Overview.. 11

6.2.         Population and Study Sample. 11

6.3.         Sample Size and Selection of Sample. 11

6.4.         Sources of Data. 11

6.5.         Collection of Data. 11

6.6.         Exposure Assessment. 11

6.7.         Data Management. 11

6.8.         Data Analysis Strategies. 11

6.9.         Research Design and Prototype. 11

6.10.      Clients/Stakeholders. 11

6.11.       Methods. 11

  1. RESULTS. 12
  2. DISCUSSION… 12
  3. CONCLUSION… 12
  4. ETHICS AND HUMAN SUBJECTS ISSUES. 12
  5. TIMEFRAMES/PROJECT PLAN/MILESTONES. 12

11.1.       Time Schedule (Ghantt Chart) 13

11.2.       Activity Sequencing.. 14

  1. STRENGTHS AND WEAKNESSES OF THE STUDY.. 15

12.1.      Strengths. 15

12.2.      Weaknesses. 15

  1. BUDGET.. 16

13.1.      Resource requirements. 16

13.2.      Budget/Funding.. 17

  1. REFERENCES. 18
  2. APPENDICES. 19

Appendix 1: Questionnaire. 19

Appendix 2: 20

 

 Related research/Literature Review

 

1.      STEPS TO BE TAKEN IN THE INVESTIGATION

This project focuses on design and development of an intelligent bank marketing system for a better bank marketing. The project will be carried out in four phases with significant milestone at the end of each phase. In the first phase, we will download and prepare the bank marketing data. Then we will search for information to have clear knowledge about the bank marketing problem and its solutions.

The second phase of the project would concentrate on an analytical framework to analyze the performance of different data mining algorithms that would be developed identifying the main components of the bank marketing.

The third phase would concentrate on the design and the implementation of efficient, reliable and robust data mining tool that achieves a better classification accuracy. Moreover, an ensemble of classifiers would be developed to increase classification performance of an efficient bank marketing.

The fourth and final phase would concentrate on preparing and submitting a conference paper. More details on the different phases are as follows:

Phase 1: Starting the project

First of all, we will download and prepare the bank marketing data for the implementation with WEKA data mining tool. Since the data is unbalanced we try to balance the by using SMOTE technique to have an efficient and accurate classification. Then we will check previous studies done on the same field to have clear knowledge about the bank marketing problem and its solutions and applied methods before.

Phase 2: Development of an analytical framework for efficient bank marketing

In this phase, efficient, intelligent and robust bank marketing system will be developed. The system will employ the bank marketing data with robust attribute selection. The extracted attributes will be employed by means of the Data mining techniques for intelligent and more efficient bank marketing environment. This platform will serve to design and develop application oriented bank marketing system. The downloaded data can be processed by employing a variety of feature extraction and attribute selection techniques. Then comparison of different feature extraction, attribute selection techniques, and data mining algorithms for bank marketing will be made. The employed feature extraction and attribute selection techniques should be robust and intelligent, so that a reliable bank marketing can be realized. The proposed platform will be used to understand and implement the intelligent system for a Bank Marketing. The finding of robust features and attributes of bank marketing data would be very meaningful for determining important insights into the effects of various parameters on the performance of bank marketing system to enlighten which feature extraction and attribute selection a is the most effective and less time consuming.

A classification problem is referred to as imbalanced when the instances in one or several classes, known as the majority classes, out number the instances of the other classes, called the minority classes. The synthetic minority over-sampling technique (SMOTE) (Chawla et al., 2002) is a well acknowledged over-sampling method. In the SMOTE, instead of mere data oriented duplicating, the positive classis over-sampled by creating synthetic instances in the feature space formed by the positive instances and their K-nearest neighbours.

 

In this step, feature extraction, attribute selection and data mining algorithms will be implemented as off-line. The feature extraction and attribute selection methods are in the set of data processing tools which extract features from the bank marketing data. Feature extraction and attribute selection are also one of the most important steps in data classification.  It is highly effective technique in selection of attributes and is frequently applied to complex, high dimensional, multivariate data. When the features are not appropriate for the given classification problem, obtained performances will be unsatisfactory. In this case, even the classification algorithm is optimally determined for the problem, because of the improper features/attributes; the algorithm cannot generate high performance. Therefore, it is mandatory to find and extract suitable features from the raw data to be able to obtain good classification results. Many feature extraction and attribute selection techniques will be applied. These are CFS Subset Evaluator, and Infogain Attribute Evaluator etc. will be applied.

Phase 3: Development of the efficient classifier

The marketing data data is of multi-dimensional nature. Therefore, it is difficult to find a robust feature extraction, attribute selection and data mining algorithm for Bank marketing. Data mining algorithms have ability to distinguish different type of data. In this phase the focus will be to make a comparison of different data mining algorithms in the field of Bank marketing. The outcome will be the analysis and choice of most appropriate sets of features extraction, attribute selection and data mining techniques, for the Bank marketing. After applying different feature extraction/attribute selection algorithms, the existing data mining algorithms (such as ANN, k-NN, SVM, decision tree algorithms, etc.) capable of dealing with network data will be applied, implemented and tested. For this purpose, various classification schemes for a particular data classification task will be developed. The aim of using data mining techniques is to make a better Bank marketing. Even though one of the algorithms would produce the best overall performance, ensemble classifier approach, where the idea is to consider more than one classification scheme can give better classification accuracy. Classifier ensembles are multiple classifier systems trained on different data or feature subsets, will be used to get better performance and accuracy.

Phase 4: Verification and optimization of the model

The fourth and final phase would concentrate on preparing and submitting a conference paper. Here, the performance metrics such as Area under ROC curve, F-measure, kappa statistic and total classification accuracy would be quantified with the help of WEKA software. Obtained results from experimentation would then be used to verify the accuracy, reliability and robustness of the developed models and would provide feedback for improvement and fine-tuning the models in phase 1, phase 2 and phase 3. The obtained results of the ensemble classifiers would be benchmarked with classical single classifiers. Moreover efficient, intelligent and robust methods will be achieved for bank marketing.

2.     RESEARCH DESIGN AND METHODS

2.1.             Overview

Use headings 2 and 3 as appropriate, and use these headings if appropriate.

 

2.2.            Population and Study Sample

 

2.3.            Sample Size and Selection of Sample

 

2.4.            Sources of Data

 

2.5.            Collection of Data

 

2.6.            Exposure Assessment

 

2.7.            Data Management

 

2.8.            Data Analysis Strategies

2.9.            Research Design and Prototype

  • Use case Diagrams
  • Database Diagrams
  • Relation Diagrams

 

2.10.     Clients/Stakeholders

 

3.     RESULTS

  • Give the tables and results of your research project one by one
  • Give the explanation on the results.

4.     DISCUSSION

  • Give discussion on the results of your research project
  • Give comments on the results.

5.     CONCLUSION

  • Conclude and summarize the results of your research project.

6.     ETHICS AND HUMAN SUBJECTS ISSUES

7.     TIMEFRAMES/PROJECT PLAN/MILESTONES

7.1.             Time Schedule (Ghantt Chart)

Change the activities and relate  it to the topic which is covid-19

Proposed steps schedule is planned like in the table.

 

Activity Months
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36
ANN Stock Market Prediction                                                                        
Literature Survey                                                                        
Literature Search                                                                        
Literature Review                                                                        
Completed Literature Review                                                                        
Get Stock Market Data                                                                        
Develop ANN                                                                        
Investigate and Evaluate ANN                                                                        
Design ANN                                                                        
Develop and Test ANN                                                                        
Evaluation                                                                        
Train ANN                                                                        
Use Stock Market Models                                                                        
Analysis                                                                        
Review Statistical Tests                                                                        
Analyse and Evaluate                                                                        
Complete Report                                                                        
Project Completed                                                                        

 

7.2.            Activity Sequencing

Activity-on-the-node diagram represents the tasks you are performing in your project as nodes connected by arrows (Dawson, 2005)

 

8.     STRENGTHS AND WEAKNESSES OF THE STUDY

8.1.          Strengths

8.2.          Weaknesses

 

9.             REFERENCES

 

 

 

 

 

 

 

 

 

10. APPENDICES

Appendix 1: Questionnaire

 

 

Appendix 2:

 

Check the related slides and Rubric for the project report details

 

 

 

Get professional assignment help cheaply

Are you busy and do not have time to handle your assignment? Are you scared that your paper will not make the grade? Do you have responsibilities that may hinder you from turning in your assignment on time? Are you tired and can barely handle your assignment? Are your grades inconsistent?

Whichever your reason may is, it is valid! You can get professional academic help from our service at affordable rates. We have a team of professional academic writers who can handle all your assignments.

Our essay writers are graduates with diplomas, bachelor, masters, Ph.D., and doctorate degrees in various subjects. The minimum requirement to be an essay writer with our essay writing service is to have a college diploma. When assigning your order, we match the paper subject with the area of specialization of the writer.

Why choose our academic writing service?

  • Plagiarism free papers
  • Timely delivery
  • Any deadline
  • Skilled, Experienced Native English Writers
  • Subject-relevant academic writer
  • Adherence to paper instructions
  • Ability to tackle bulk assignments
  • Reasonable prices
  • 24/7 Customer Support
  • Get superb grades consistently

 

 

 

 

 

 

Order a unique copy of this paper
(550 words)

Approximate price: $22

Basic features
  • Free title page and bibliography
  • Unlimited revisions
  • Plagiarism-free guarantee
  • Money-back guarantee
  • 24/7 support
On-demand options
  • Writer’s samples
  • Part-by-part delivery
  • Overnight delivery
  • Copies of used sources
  • Expert Proofreading
Paper format
  • 275 words per page
  • 12 pt Arial/Times New Roman
  • Double line spacing
  • Any citation style (APA, MLA, Chicago/Turabian, Harvard)

Our guarantees

We value our customers and so we ensure that what we do is 100% original..
With us you are guaranteed of quality work done by our qualified experts.Your information and everything that you do with us is kept completely confidential.

Money-back guarantee

You have to be 100% sure of the quality of your product to give a money-back guarantee. This describes us perfectly. Make sure that this guarantee is totally transparent.

Read more

Zero-plagiarism guarantee

The Product ordered is guaranteed to be original. Orders are checked by the most advanced anti-plagiarism software in the market to assure that the Product is 100% original. The Company has a zero tolerance policy for plagiarism.

Read more

Free-revision policy

The Free Revision policy is a courtesy service that the Company provides to help ensure Customer’s total satisfaction with the completed Order. To receive free revision the Company requires that the Customer provide the request within fourteen (14) days from the first completion date and within a period of thirty (30) days for dissertations.

Read more

Privacy policy

The Company is committed to protect the privacy of the Customer and it will never resell or share any of Customer’s personal information, including credit card data, with any third party. All the online transactions are processed through the secure and reliable online payment systems.

Read more

Fair-cooperation guarantee

By placing an order with us, you agree to the service we provide. We will endear to do all that it takes to deliver a comprehensive paper as per your requirements. We also count on your cooperation to ensure that we deliver on this mandate.

Read more

Calculate the price of your order

550 words
We'll send you the first draft for approval by September 11, 2018 at 10:52 AM
Total price:
$26
The price is based on these factors:
Academic level
Number of pages
Urgency
Open chat
1
You can contact our live agent via WhatsApp! Via +1 817 953 0426

Feel free to ask questions, clarifications, or discounts available when placing an order.

Order your essay today and save 20% with the discount code VICTORY