Assignment and Discussion

Discussion:
This week we focus on the knowledge management cycle noted in Figure 5.3 in the Information Technology and Organizational Learning text. Note the various aspects of knowledge management, continuous innovation, and competitive advantage and how they integrate with one another.
Need 125 words and Textbook is attached.

Assignment:  
Chapter 4 – Review the section on Linear Development in Learning Approaches. Discuss how learning changes over time impact organizational culture. What is the impact of this cultural change on the success of IT projects? (Information Technology and Organizational Learning) 

Chapter 5 – Review the Roles of Line Management and Social Network and Information Technology sections. Note the various roles in the organization and note the similarities and differences within each role. Also, note how innovation technology management shapes how we communicate amongst coworkers within an organization. (Information Technology and Organizational Learning)

The above submission should be two pages in length (one page for each chapter) and adhere to APA formatting standards.

Exercise 6:
How are you doing on keeping your own information secure? Review the steps listed in the chapter and comment on how well you are doing.  (Information Systems for Business and Beyond Text – Refer to Chapter 6) 

Data Gathering Instrument

 

Data Gathering Instrument

Task: Create one (1) instrument that could be used to gather data for your mock dissertation topic. (cyber secuirty)
The instrument should be designed to be exactly how it would be deployed to collect data. Since instrumentation usually goes through several steps of field testing, for purposes of this assignment you can submit a deployment-ready draft of your instrument without field testing it. Be sure the instrument collects data appropriately to measure your research question.  If your study will not use an instrument to collect data because your data is archival and already exists, you will discuss your process for data retrieval. 

Assignment

 When submitting work, be sure to include an APA cover page and include at least two APA formatted references (and APA in-text citations) to support the work this week.
All work must be original (not copied from any source). 

Systems Solutions Planning

Create a media-rich, 14- to 18-slide Microsoft® PowerPoint® tutorial for Karen. Use this week’s reading and activities for information systems planning to complete your assignment. Your tutorial should:

Include a title page.

Explain the concept of information systems planning.

Compare at least two development planning methods.

Clarify why each planning method is appropriate for new system implementation.

Select a methodology for designing the information system.

Explain the reason for the selected methodology.

Address the option to acquire (instead of build in-house) information systems.

Identify and discuss the tools that might be used in the acquisition of a new information system.

SOFTWARE TESTING RESEARCH

TOPIC: Regression Test Case Prioritization using Genetic Algorithm

  identify at least 1 relevant research paper (from http://dl.acm.org/ OR http://ieeexplore.ieee.org/Xplore/home.jsp OR Other online sources )

 summarize the selected papers, and describe “why and how” this paper is relevant to the topic – this description must be coherent. only 1 page of summary and description is enough.

Project Assignment:Part 2: Research Questions and Study Variables with 3 Pages

 

Using the study selected in Project Part 1, you will continue to develop your research proposal that supports an extension of the published study. For this assignment, you will be writing a short summary of the components of the study being proposed (3 -4 pages) which identifies the following:

  • The constructs the proposed study will investigate and why they were selected
  • The potential variables that represent the constructs being investigated
  • A conceptual model which depicts the relationships between and among the potential variables
  • A research question or proposition that would guide the study which asks:
    • how things are related, OR
    • how things are different
  • A research or null hypothesis that is related to the research question or proposition.

Data visualization

MAKE SURE NO PLAGARISM 

R is a language and environment for statistical computing and graphics. It is a GNU project which is similar to the S language and environment which was developed at Bell Laboratories (formerly AT&T, now Lucent Technologies) by John Chambers and colleagues. R can be considered as a different implementation of S. There are some important differences, but much code written for S runs unaltered under R.

Why are statistical programming languages important to data scientists? What are some advantages and disadvantages the R programming language has over the other main statistical programming languages (i.e. Python, SAS, SQL)?

Reply Post

You must do the following:

1) Create a new thread to write your initial response to the discussion prompt.

2) Select AT LEAST 2 other students’ threads and post substantive comments on those threads. Your comments should extend the conversation started with the thread and explain why you agreed or disagreed with their evaluation of the different statistical programming languages. 

3) Provide a thoughtful research-based response and include references to support your thoughts

4) Exclude attachments and cover page in your submission. Type your response in the message box. When responding to your peer, address your peer by name. 

5) ALL original posts ( two to three paragraphs supported by resources) and comments must be substantive. (I’m looking for about a paragraph – not just “I agree.”)6) Paraphrase text from resources used and cite. If quoting text, use double-quotes and cite.