Information Systems

Information systems denote systems and procedures used to create, manage, manipulate, distribute and disseminate information within an organization setting (Matlin, 1979). A thin line exists between Information systems and information technology in terms of their adoption.

However, the former employs information theory, social science, information technology as core

fundamental concepts with a career pathway geared towards various fields such as computer security, communications, Actuarial analyst, Business Analyst etc.

Inference

Computer Science is a discipline which explores the adoption of mathematical concepts to comprehend how computers work. It’s primarily concerned with software development hence knowledge in programming languages like Python, C##, Java etc. forms the core of the discipline. The field emphasize the usage of algorithms to instruct computer system to perform tasks leading to the solution of problems. Thus, the discipline gives details about the architecture and design of computer systems. On the other hand, Information Technology is dedicated to utilizing already existing technology to solve business and organizational-related problems.

Topics like database system, operating systems, system security are the fundamental concepts that underpins information technology. However, Information systems corresponds to all the procedures, systems and users employed in the creation, storage, manipulation of information within an organizational setting.

Taking into consideration the underlying principles that govern the three fields, brings to light a technological semblance among them. Thus, Computer Science, Information Technology and Information Systems requires computer systems to co-exist.

The understanding of computer science concepts is vital for a successful career in information systems since it addresses the underlying principles of how computers react the way they do. Also, an alternate dimension given to once career in information systems is linked to the understanding that computer science develops efficient ways to solve computer-related problems. Therefore, an insight into computer science concepts gives a fundamental perspective to information systems hence enhances effective problem solving.

Doctor of Information Technology is one challenging degree to achieve in the academic sphere, therefore, ignoring all forms of distractions is a priority in order to maintain focus on my studies. Owing to this, I have set up an event calendar with reminders to help keep track of very important events to effectively manage unforeseen contingencies. Also, a daily three-hour after work study policy is positively shaping my balance between school and work, thus, additionally helping me focus on my studies. Ultimately, two things that keep me focus is my passion for information technology and the final doctorate award.

Taking into consideration the enlisted core technological courses like principles of programming, operating system and network architecture, data modeling and database design, enterprise systems architecture etc., I am convinced an insight into programming languages like Python, R, C##, C++, C, FORTRAN etc. needs to be ascertained since I am versed in computer others like SQL, VBA and Hadoop which are more inclined to database management systems. Also, further studies into networking needs to be effected if a successful and smooth completion of the DIT program is to be attained.

References

• Denning, P. J., Tedre, M. & Yongpradit, P. (2017). Misconceptions about Computer Science. Communications of the ACM, 60(3), 31-33. doi: 10.1145/3041047 Brookshear, J. G., & Brylow, D. (2015). Computer science: an overview. (12th ed.).
• Matlin, G. (1979). What is the value of investment in information systems? MIS Quarterly, 3(3), 5-34. Retrieved from http://www.waldenlibrary.org/