|
|
|
|
|
|
|
|
|
|
Course Criteria
Add courses to your favorites to save, share, and find your best transfer school.
-
3.00 Credits
This course is an in-depth study of advanced software engineering principles including project management, team building, team organization, cost estimation, scheduling, description and evaluation of software architecture design, object-oriented design methodologies, and refactoring. Practical aspects of software are discussed including testing, maintenance, safety, security, quality assurance, and reliability. Lec 3, Cr 3.
Prerequisite:
Prerequisite: COSC 4346 with "C" or better.
-
3.00 Credits
This course covers classical and modern computer architectures. Techniques such as microprogramming and counter-decoder methods will be included. Other topics that will be studied include parallel computing architectures, their performance and programming. Lec 3, Lab 1, Cr 3.
Prerequisite:
Prerequisite: COSC 3325 with "C" or better.
-
3.00 Credits
This course discusses the theoretical and practical foundations of Artificial Intelligence. Principles of reasoning, perception, deduction, planning, learning, knowledge representation and problem resolution are some of the areas covered. Lec 3, Lab 1, Cr 3.
Prerequisite:
Prerequisite: COSC 3345 with "C" or better.
-
3.00 Credits
This course covers the theoretical and practical principles of modern Expert Systems construction. Lec 3, Lab 1, Cr 3.
Prerequisite:
Prerequisite: COSC 4350 with "C" or better.
-
3.00 Credits
The topics include root finding, interpolation and numerical differentiation, polynomial interpolation, estimating derivates, numerical integration, systems of linear equations, approximation by spline functions, and smoothing of data. This course satisfies the computer science course requirements toward a major in mathematics. Lec 3, Lab 1, Cr 3.
Prerequisite:
Prerequisite: COSC 1337 and MATH 2414 with "C" or better.
-
3.00 Credits
This course introduces elements in formal language theory and computability theory. Theoretical foundations of computer science will be covered. Lec 3, Lab 1, Cr 3.
Prerequisite:
Prerequisite: COSC 3345 with "C" or better or consent of instructor.
-
3.00 Credits
This course introduces basic concepts, results and techniques in computational complexity theory, and provides a deeper insight of the power of computing using the Turing-machine model. Lec 3, Lab 1, Cr 3.
Prerequisite:
Prerequisite: COSC 4361 with "C" or better.
-
3.00 Credits
A special topic will be covered in this course at the senior level. Different sections may cover different topics in a semester. Under special topics, courses related to new developments in the area of computer science will be offered. Lec 3, Cr 3.
-
3.00 Credits
This course will provide an introduction to the rapidly evolving field of Bioinformatics with the overarching goal of understanding how Computer Science plays an integral part both in application and algorithmic aspects. Lec 3, Lab 1, Cr 3.
Prerequisite:
Prerequisite: COSC 4342 or consent of instructor.
-
3.00 Credits
An introduction to the physical and computational principles of medical imaging systems. Topics covered include fundamentals of x-ray radiography, x-ray computed tomography, ultrasound imaging and magnetic resonance imaging. Current techniques for visualization, segmentation, and analysis of medical image data will also be discussed. Lec 3, Lab 1, Cr 3.
Prerequisite:
Prerequisite: COSC 2336 or consent of instructor.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Privacy Statement
|
Terms of Use
|
Institutional Membership Information
|
About AcademyOne
Copyright 2006 - 2025 AcademyOne, Inc.
|
|
|