10 College Project Topics on Computer Science

10 College Project Topics on Computer Science If you need   some information on computer science for your college project, consider these 10 fun facts below: There is a persistent problem with staffing and retaining IT employees and, although there have been studies that have looked at IT workers’ job motivation and attitudes toward their jobs, there has been little literature on key attributes of IT personnel which differs from other occupations. By understanding the key personality traits among IT workers and how these traits differentiated them from other professions, the results can inform a wide variety of organizational processes such as assessing IT candidates for job and organizational fit, recruitment, selection, placement, identifying training needs, career planning, counseling, and ongoing management. Today, the modern customer is changing not only how to look for products and services, but how they use them. Transformation over the last few years alone has resulted in an increase of customers focusing on geographically based searches for those companies nearest their location by way of geographical tags on their smartphones and wireless connections. Customers are turning to tablets and smartphones when shopping in lieu of physical spaces. Customers are demanding faster responses to inquiries and internet based options. Long gone are the days where companies can survive without a website, but now the continually changing customer has continually changing needs which require all businesses to focus more on internet-based service. Companies are turning with higher frequency to digital methods of marketing, advertising, and data mining. Data mining is used to collect customer information. Multiple companies utilize the collection of customer data to make predictions based on whether the customer is worth maintaining for the long term and how much money the customer will bring to the company on a regular basis. This type of data mining also stretches to include predictive measurements for behavior, especially with the focus on the target company and the pregnancy prediction analysis which they implemented (Berry Linoff, 1991; Han, Kamber, Pei, 2011; Laudon Lauden, 2010, p. 245). Directly in tandem with the data mining is the field of behavioral science, something which is used to determine the success rates of the various data mining related strategies. For example, behavioral studies determined that target customers did not appreciate the predictive pregnancy analyses, and they did not appreciate the pregnancy or baby related coupons which were sent to them. But when they assumed this was random and that their personal information has not been spy on they were much more willing to accept the coupons and to use them (Han, Kamber, Pei, 2011). It is by way of SAS statistical modeling software that companies are gathering the customer information especially information related to local trends, geographic location, habitual purchases, as well as personal details such as the number of children, marital status, and more.  Understanding habitual purchases by customers is also beneficial for all of the companies listed in the case study. It allows each of the organizations to determine which habitual purchases were made on a regular basis and which items individuals enjoyed. The items which are made on the eventual bases are things which do not relate directly to impulse purchases and as such having coupons or advertisements while shopping are not nearly as beneficial and investment (Berry Linoff, 1991; Han, Kamber, Pei, 2011; Laudon Lauden, 2010, p. 245). That being said the software can provide information specific to gift purchases or other impulse related by so that marketing efforts can be better coordinated and target ed to individual customers. This software also provides information as to which customers may require additional benefits such as bonus gift from the company in order to sustain that membership. These efforts of other companies to target their traditional marketing effort on this customers which will provide them with the most profitable lifetime memberships ((Berry Linoff, 1991; Han, Kamber, Pei, 2011; Laudon Lauden, 2010, p. 245). Information maintained by companies such as patient or customer data are typically maintained on cloud networks, so as to afford access to all necessary employees or customers/patients no matter where they are located (Berry Linoff, 1991; Han, Kamber, Pei, 2011; Laudon Lauden, 2010, p. 245). With so many companies turning to cloud computing and maintaining long term data, cyber security remains a serious concern, particularly as it relates to things such as data breaches. Regardless of where attacks originate, Internet users are at risk of victimization by professional hackers no matter where they live. This results in a significant loss of valuable information and identity information. By raising public awareness large-scale organizations can take the necessary steps to protect their users and their data while using the Internet. Increasing investment within IT professionals on staff can also help to offset the impact that the hacking economy is having. Some companies utilize inventory management online by tracking the quantity of every item which is maintained and triggering orders for out of stock items when the quantities drop below predetermined amount. The systems are often connected to point of sale systems which ensure that every time an item is sold one is removed from the turtle inventory count. This provides a closed information loop from every department. But in order for these systems to communicate with one another IT professionals must remain intact. Managing information systems must be done for data management. Today companies continue to maintain digital versions of all documents on a storage device or service. Once these documents are digitized they are instantly available to anyone in the company no matter where they are located. This means companies can store and maintain significant amounts of historical data available to all employees. But in order for this information to be the only protected from security threats but operational such the employees can access it from any location, IT staff must be on hand to immediately rectify any problems which arise and maintain optimal functionality at all times. Many progressive companies will use a management information system to track all of their sales data, their productivity levels, and every principle. This information can be used to track all profitability overtime, to maximize return on investment, and to identify areas which need improvement. Through such software managers contract sales on a regular basis which allows them to react immediately to lower than expected numbers by increasing productivity among employees or decreasing the cost of individual products. These management information systems have to be overseen by professional IT employees. Companies that use customer relationship management systems to capture customer data must also rely upon continually functioning interactions between customers, administration, and each of the technological systems. This is best done with the assistance of professional IT employees. In conclusion we hope these facts will give a boost towards confidently writing your assignment. Along with it come our 20 topics for computer science school project along with our writing guide that will hold your hand through the process. References: Berry, M. J., Linoff, G. (1997).  Data mining techniques: for marketing, sales, and customer  support. John Wiley Sons, Inc. Borgohain, S. B. (2010).  Key Factors and Challenges for Retention of Employees in a Public Sector Enterprise: A Case Study in Power Grid Corporation of India Limited: Masters Thesis  (Doctoral dissertation, SB Borgohain). Han, J., Kamber, M., Pei, J. (2011).  Data mining: concepts and techniques: concepts and  techniques. Elsevier. Laudon, K. C., Laudon, J. (2013-03-06). Managing Information Systems: Managing the  Digital Firm (13th Edition) (Page 245). Pearson HE, Inc.. Kindle Edition. Aarseth, W., Rolstadà ¥s, A., Andersen, B. (2013). Managing organizational challenges in  global projects.  International Journal of Managing Projects in Business,  7(1), 103-132. Lea Yu and Xuyan Fang, â€Å"100 Million Usernames, Passwords Leaked† (Caixin Online: December 29, 2011): http://english.caixin.com/2011-12-29/100344138.html. Lewis, A., Sequeira, A. H. (2012). Effectiveness of Employee Retention Strategies in  Industry. Traits of Information Technology Professionals. Computer and Information Science, 7(3). doi:10.5539/cis.v7n3p38 Lumley, E. J., Coetzee, M., Tladinyane, R., Ferreira, N. (2011). Exploring the job satisfaction  and organisational commitment of employees in the information technology environment.  Southern African Business Review,  15(1), 100-118. Lounsbury, J. W., Sundstrom, E., Levy, J. J., Gibson, L. W. (2014). Distinctive Personality