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Course Criteria
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3.00 Credits
An introduction to computer architecture and assembly language programming. Relationship of the conventional machine level of a modern computer system with its other levels. Topics are chosen from addressing; machine instructions; I/O; subroutines; parameters; recursion; stacks; interrupts; number systems and arithmetic; and the physical, digital, and the microprogramming levels.
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3.00 Credits
A continuation of the material covered in CSCI 207. This course takes a deeper dive into JavaScript (JS), the most in-demand coding language, with an emphasis on developing single-page web applications using JS frameworks such as Angular and Ember.
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3.00 Credits
An introduction to data communications and computer networking. Topics include LAN technologies, packet switching networks, internetworking of heterogeneous network technologies, internetworking protocol suites (with emphasis on TCP/IP), the client/server paradigm, the BSD Socket interface, network security, and important network applications.
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3.00 Credits
An introduction to the logical and physical structures of computer database systems. Topics include data models, query languages, relational database design, and database constraints. Students will be required to complete a project involving database design and implementation.
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3.00 Credits
A survey of the principles and practices related to computer security em- phasizing the problems of security associated with computer networks. Topics include cryptography, privacy, authentication, access control and authorization, security policies, and legal and ethical issues. A significant component of the course is the investigation of attacks commonly used by computer criminals and strategies that can be used to thwart the attacks.
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3.00 Credits
Data mining is the process of automatically finding useful hidden patterns in data. The objective of data mining is to use discovered patterns to help explain current behaviors or to predict the future outcomes. The knowledge discovery process includes data selection, cleaning, coding, using different statistical and machine learning techniques, and visualization of the generated structures. This course will expose students to data mining concepts, techniques and software utilized in the overall process of discovering knowledge within data.
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3.00 Credits
Programming language concepts and constructs with emphasis on the runtime behavior of programs. Topics include imperative, functional and logic programming paradigms, language syntax and semantics, and global properties of programming languages including scope, parameter passing, storage alloca- tion, and the binding time of constituents.
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3.00 Credits
This course provides a solid foundation for object-oriented programming using the C++ programming language. It emphasizes the effective use of the advanced language features, presented in the context of modern software engineering themes of modularity, abstraction, information hiding, and reusability. Fundamental principles of object-oriented design and programming are stressed while covering the language details.
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3.00 Credits
A project-oriented course that introduces advanced Java technologies for building distributed enterprise and web applications. Topics include threads, networking, security, JDBC, servlets, and JavaServer Pages (JSP).
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3.00 Credits
It is required to have a written proposal accepted by the research advisor and the department head. This course offers a junior computer science student the opportunity to complete research in an area of current interest and importance in computer science in collaboration with a research advisor. A formal paper is required in this course. Although it is a 300-level course, this course is not approved as a departmental elective. It may be used to fulfill a general elective.
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