Revised General Course Catalog
GEIT 1411: Computer Science I (3,1,4) The course is an introduction to programming and to the use of algorithms in designing programs. A software engineering approach to developing computer programs is stressed and object-oriented concepts are introduced. The course examines standard control structures, approaches to modularization, and the use of primitive and structured data types. Prerequisite: None.
GEIT 1412: Computer Science II (3,1,4) This course is a continuation and extension to GEIT 1411 Computer Science I. It introduces the student to a systematic study of basic data structures such as queues, stacks and binary trees including searching and sorting algorithms and their associated computational costs. A software engineering approach to developing computer programs is stressed and object-oriented concepts are emphasized. Reusability of code, effective software development methodologies and good programming practices are significant components of the course. Prerequisites: GEIT 1411: Computer Science I. Students also are expected to have successfully completed the first mathematics course in their degree program.
GEIT 2421: Data Structures (3,1,4) Data structures is the systematic study of some advanced data structures, including list, stack, queue, dictionary, and graph. Sorting and hashing algorithms and their associated computational costs are discussed. Algorithm analysis techniques are also investigated to provide a metric to measure the performance of an algorithm in question. Prerequisites: GEIT 1412: Computer Science II, MATH 1313: Statistical Methods, MATH 2332: Differential Equations
GEIT 2291: Professional Ethics (2,0,2) This course is designed to educate students on the impact ethical issues have on the use of information technology in the modern business world. It examines the ethical codes of the professional societies and the philosophical bases of ethical decision-making. Students acquire the foundation that helps them make appropriate decisions when faced with ethical dilemmas ethics and professional conduct in the workplace. Prerequisite: None.
GEIT 2331: Mathematical Reasoning & Algorithmic Thinking (3,0,3) This course is about the study of objects that have discrete as opposed to continuous values including the foundations of logic, algorithms and their complexity, mathematical reasoning, relations, graphs, trees and combinatorics. Prerequisite: MATH 1423: Calculus II
GEIT 3311: Computer Organization (3,0,3) This course examines the functional components of computer systems. Topics discussed include processors, memory types and hierarchies, buses, I/O, interrupts, etc. with emphasis on how they affect program execution, parameter passing and inter-program communications between programs written in diverse languages. Prerequisite: GEIT 1411 - Computer Science I
GEIT 3341: Database I (3,0,3) The objective of this course is to give students an understanding of key issues related to database design and implementation to support the automation of key business processes in organizations. The course is designed so as to cover topics that are relevant from a database design and implementation perspective; particularly one that involves the provision of online access to data resources to a variety of physically distributed organizational users. It includes a mix of lectures (some of which are conducted in the laboratory) and discussions on contemporary articles from industry publications. Prerequisites: GEIT 1411: Computer Science I, GEIT 1412: Computer Science II.
GEIT 3351: Software Engineering I (3,0,3) The course is designed to provide an introduction to the theory and practice of software development and maintenance. The focus is on the full software development life cycle, including coverage of tools, techniques, principles, and guidelines for software requirements, specification, design and implementation. Particular emphasis is placed on the principles and methods used to develop and validate software requirements. Students are guided toward a better understanding of the various tasks and specialties that contribute to the development of a software product. Prerequisites: GEIT 1411: Computer Science I, GEIT 1412: Computer Science II.
GEIT 4361: Practical Training (3,0,3) This course provides opportunities for students to apply the academic concepts, skills and techniques learned in their coursework to a professional work-oriented setting. The course offers the potential for a one-semester internship with a regional employer or a directed study course providing practical learning experiences that benefit the community. Prerequisites: Senior year standing and the consent of the instructor.
ASSE 4311: Learning Outcome Assessment III (3,0,3) This is the capstone course required of all students pursuing an undergraduate degree program within the College of Information Technology. The objective of this course is to bring together in an applied manner the knowledge and skills obtained by the students throughout their undergraduate program. The course is designed so as to cover topics that are relevant from an integrated IT systems design and implementation perspective. The term “integrated IT systems design and implementation” refers to complex collaborative efforts that bring together knowledge skills in the related areas of computer science, computer engineering, and information technology (as covered by the three undergraduate programs offered by the College of Information Technology). The course is very applied. One of its main components is a team project focusing on integrated IT systems design and implementation. The course also includes a mix of speakers’ presentations, project work, and discussions on contemporary articles from industry publications. Prerequisites: GEIT 1411: Computer Science I, GEIT 1412: Computer Science II, GEIT 1311: Computer Organization I, GEIT2291: Professional Ethics, GEIT 3341: Database Design, GEIT 3351: Software Engineering I, GEIT 4351: Software Engineering II.