Information Studies Adv. Cert. - Curriculum

Information Studies Adv. Cert.

Information studies, advanced certificate, typical course sequence

Course Sem. Cr. Hrs.
First Year
MEDI-610
Scripting Fundamentals
This course is an introductory scripting course. Students will learn to design software solutions using the procedural approach, to implement software solutions using a contemporary programming language, and to test these software solutions. Topics include problem definitions, designing solutions, implementing solutions using a contemporary programming language, implementing a contemporary library/framework, and testing software solutions. Programming projects will be required. (This class is restricted to degree-seeking graduate students or those with permission from instructor.) Lec/Lab 3 (Spring).
3
CINT-634
Infrastructure Systems
This course will explain the underlying processes that surround networked systems. Students will learn the basics of computer connectivity, from low level devices through server farms and cloud computing. Virtualization is explained with attention toward practical applications and hands on experience. Students will be able to describe the functions of key hardware and software components within infrastructure systems. Lecture 1 (Fall).
3
CSEC-759
Topics in Computing Security
This course explores current topics in Computing Security. It is intended as a place holder course for faculty to experiment new course offerings in Computing Security undergraduate program. Course specific details change with respect to each specific focal area proposed by faculty. Lec/Lab 3 (Fall, Spring).
3
CINT-628
Introduction to Applied Informatics
Informatics is about systems that store, process, analyze, and communicate information. Information begins as data – and of particular interest today is the large data sets that are evolving in many fields. Data sets are acted upon by tools can be applied to a variety of problems across many fields. This course provides an overview of issues within informatics, and common solutions. Through hands-on examples, the course demonstrates a general problem-solving approach from problem identification, algorithm selection, data cleaning, and analysis. Lecture 1 (Spring, Summer).
3
Total Semester Credit Hours
12