All posts by : chebby

 Topics related to the final project: numpy, pandas, matplotlib. 

Discuss the following, supplying citations to support any information that you provide.  Do not include your opinion, only what you can support with a citation.  Address the following topics.

1. Describe operating system hardening
   1. Define it
   2. Why is it done?
   3. What steps are usually done in a Windows environment?
2. Describe system restoration methods and procedures
   1. Define it
   2. Why is it needed?
   3. What tools and approaches are recommended?
3. Describe network security controls
   1. Define it
   2. Why is it needed?
   3. What steps, tools, and policies are used to secure networks?
4. Describe incident response teams and the role of evidence
   1. What are incident response teams and why do they exist?
   2. How does evidence collection relate to incident response teams?
   3. Discuss evidence
      1. Describe why evidence is collected,
      2. How it should be collected
      3. What can happen if it is collected or handled in an inappropriate way

For all writing assignments ensure that you do the following:

• Write 1000 to 1500 words in APA format.
• Utilize at least five scholarly references. 
• Note that scholarly references do not include Wikipedia, .COM websites, blogs, or other non-peer reviewed sources. 
• Utilize Google Scholar and/or the university library. 
• Do not copy and paste bulleted lists.  Instead, read the material and in your words, describe the recommendation citing the source. 
• Review the rubric to see how you will be graded.
• Plagiarism will result in a zero for the assignment. 
• The second instance of plagiarism will result in your failure of this class.
• If you use a source, cite it.  If you do not, it is plagiarism.

Objective: Web scraping with Python

Due: December 7 (11:59pm). 10 pts will be deduced for each late day (24hr). No submission will be accepted after Dec 10 (11:59pm). Total grade for the project is 100.

Grading Procedures: All submission will be checked with a plagiarism software. Submission having more than 70% similarity to any other student submission and/or internet resources will share total points the assignment. For example, 4 submissions having more than 70% similarity will be graded as 100/4 = 25pts, assuming that the program is worth of 100 pts.

Description: The university maintains course schedules at http://appsprod.tamuc.edu/Schedule/Schedule.aspx for different semesters (spring, fall, winter, etc ). You will develop a Python program to dynamically complete certain tasks, such as list, find, sort, and save, in course listings from schedule portal. You will mainly use “request” and “BeautifulSoup” libraries (or similar, see exercise 12.1). The program will operate at different level: Semester and Department.  Your program will be a menu based application. Assume that you project file is myproject.py. Once you run, it will show last 5 semester (fall, spring, summer only, (not winter, may mini))

> python myproject.py
Choose a semester: 1) Sprint 2021   2)Fall 2020  3)Summer II  4)Summer I 5)Spring 2020 
Selection: 2

Here, your program will parse the data from website and show only last (most recent) 5 semesters. User will make selection, then, you will show departments for the selected semester (Fall 2020). Note that selected semester is visible before a “>” sign.

Fall 2020> Select a department:
1) Undeclared
2) Accounting and Finance
3) Art
4) Ag Science & Natural Resources
…
…
30) Social Work
31) Theatre
Q)Go back

Selection: 3

Fall 2020> Art > Select an option:
1) List courses by instruction name
2) List courses by capacity
3) List courses by enrollment size
4) List courses by course prefix
5) Save courses in a csv file
6) Search course by instruction name
7) Search courses by course prefix
Q)Go back
Selection: ??

Here, your program will parse the data from website and show all available department then list of tasks. Q (go back) option will take user to previous level. 

Course listing output should show the following fields. For instance for course listing for “Fall 2020> Computer Science & Info Sys> List the course by prefix ” should show

PrefixIDSecNameInstructorHoursSeatsEnroll.COSC130101WIntro to CompuLee, Kwang33510COSC143601EIntro to Comp Sci & ProgBrown, Thomas44036COSC143601LIntro to Comp Sci & ProgBrown, Thomas4036COSC143601WIntro to Comp Sci & ProgHu, Kaoning44543COSC143602EIntro to Comp Sci & ProgHu, Kaoning43532

as first 5 rows.

You will follow above headers and order (prefix (col. width 6), ID (5), Sec (5) ,Name (25), Inst (20), Hours (5), Seats (5), Enroll. (7) ) for other listing selections too. Data cell should be aligned with column header and left justified. A course name should not have a word more than 5 chars. For instance Algorithms should be abbreviated as “Algor”. The length of course name will not exceed 25 chars. In option 5, the above format should be used to save a listing to a file as .csv format. User will be able to provide a filename for csv file.

For this program you need to develop at least one class (chapter 10) with (possible) many methods.

  Administrative and Technical Recovery Plans . 

Explore the school library to identify some useful peer-reviewed, scholarly accepted articles for this assignment. Ensure your citations and references adhere to the school recommended APA format.

1. Discuss the gap for your problem to be addressed in your dissertation and continue to include new articles(4). 

2. Using the additional articles you have retrieved from the library, revise your topic submission clearly identifying the gap in the research that this topic addresses. 

Discuss activities that occur during the problem definition phase of the system development life cycle. 

Describe at least THREE ACTIVITIES that you consider most important and why.

test 

A researcher wanted to know if there was a significant difference in cyber security breaches between cities on two different continents.  What test should he conduct to determine if there is a significant difference in cyber security breaches between the continents?  Write up the results and determine what do the results mean? 

Here is the data set:

Asia

Europe

17

20

25

30

26

15

27

14

28

12

50

Welcome to your sixth week discussion.

The chart you select to represent your data will be influenced by many factors. Kirk (2016) has put each chart into the five main families below:

•             Categorical: Comparing categories and distributions of quantities values

•             Hierarchical: Charting part-to-whole relationships and hierarchies

•             Relational: Graphing relationships to explore correlations and connections

•             Temporal: Showing trends and activities over time

•             Spatial: Mapping spatial patterns through overlays and distortions

Select a chart type from the text and discuss what the chart is used for and why you selected it. (The author has included a lot of different chart types in our course book)

Please make sure you have an initial post (about 200 words) and a comment/post to one of your friends’ posts.