|
|
Course Criteria
Add courses to your favorites to save, share, and find your best transfer school.
-
3.00 Credits
This course introduces mobile programming, tools and techniques used to develop software applications for mobile development and platforms. The course will examine topics such as user interface design, software services, security and accessibility. The course will emphasize hands-on development using a widely-used mobile platform.
Prerequisite:
CPSC130 AND CPSC131 AND CPSC141 AND CPSC230 AND CPSC250
-
3.00 Credits
This course is designed to teach students how to effectively design efficient web-based applications. This course covers XHTML, Cascading Style Sheets, JavaScript, DHTM, Language and Model, XML, ADO.NET, ASP.NET and PHP. The goal is to teach skills and languages to build platform independent code for Internet and Intranet-based applications. This is a programming intensive course.
Prerequisite:
CPSC130 AND CPSC131
-
4.00 Credits
This course is an introduction to operating systems concepts and design principles. Topics will include all the major areas of operating systems such as process control, memory management, file systems, input/output and security. Theory will be demonstrated by hands-on experience. Students will be required to complete operating system kernel projects where they will write and/or modify operating system code and demonstrate its impact on the performance of the system.
Prerequisite:
CPSC130 AND CPSC131 AND CPSC230 AND CPSC232 AND CPSC250 AND MATH220
-
3.00 Credits
In this course students will learn how to effectively design efficient, secure applications using the industry-strength Application Programming Interfaces from .NET and Java. This course covers fundamentals of Cryptography, .NET Symmetric Cryptography, .NET Asymmetric Cryptography, .NET Digital Signatures, XML Signatures, ASP.NET Security, Web Service Security, Java Cryptography Architecture (JCA), and Java Cryptography Extension (JCE). This is a programming intensive course.
Prerequisite:
CPSC130 AND CPSC131 AND CPSC230 AND CPSC250
-
4.00 Credits
This course provides students with an introduction to the field of cryptology. Students will study block and stream ciphers, symmetric and asymmetric ciphers, the strength and weaknesses of ciphers, encryption standards, public key cryptography, digital signatures, key management, hash functions, and message authentication codes. Students will be required to create working software based on cryptographic algorithms.
Prerequisite:
CPSC130 AND CPSC131 AND CPSC230 AND CPSC250 AND MATH140 AND MATH220
-
3.00 Credits
This course is designed to teach students the fundamentals in the field of Data Science. This course covers the basics of programming environment for data analysis, data manipulation (data index, selection, merge, join, aggregation, grouping), data cleaning, and data visualization (2-D plots, 3-D plots). This is a programming intensive course.
Prerequisite:
CPSC120 OR CPSC230 OR MATH318 AND MATH110 OR MATH311
-
3.00 Credits
This course is an introduction to computer graphics. Basic principles for design, use, understanding of graphic systems will be studied. Algorithms for creating and manipulating graphic displays and a standard programming language for their implementation will be presented. There will be programming practice. This course is usually offered in alternate years.
-
3.00 Credits
Search engine systems like Google and Yahoo! are essential tools for finding the most valuable and relevant information, given the explosion of digital information available today. This course studies the design, implementation, and evaluation of modern information retrieval systems, such as web search engines. Topics include: retrieval system design and implementation, text analysis techniques, retrieval models (e.g. Boolean, vector space, probabilistic, and learning-based methods), search evaluation, retrieval feedback, search log mining, and applications in web information management.
-
3.00 Credits
A study of symbolic processing and intelligent applications; major models, state-space, problem-subproblem, automated deduction will be applied to solve problems in heuristic programming and artificial intelligence. This course is usually offered in alternate years.
-
3.00 Credits
This course provides students with a broad introduction to machine learning, datamining, and statistical pattern recognition. Students will study data exploration, decision tree, K-nearest neighborhoods, linear regression, logistic regression, support vector machines, neural networks, ensemble learning, clustering, dimensionality reduction, and model evaluations. Students will be required to build predictive models based on machine algorithms. This course is usually offered in alternate years.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|