Curriculum

Curriculum

Required Courses (19 units)

Linear algebra concepts, Linear Transformations and Matrix Factorizations, Eigenvalues and Eigenvectors, Least Squares, error analysis, floating-point representations, roots of non-linear equations, systems of linear equations, interpolation, numerical integration.

Prerequisite(s): CS 2400 and MAT 1150
Component(s):
 Lecture
Grading Basis: Graded Only


CS 3110: Formal Languages and Automata (3)
Finite automata. Non-determinism. Regular expressions and languages. Context-free grammars and push down automata. Ambiguity. Closure properties. Normal forms. Context-free and non-context-free languages.
Prerequisite(s): 
CS 2400
Component(s): 
Lecture
Grading Basis: 
Graded Only
 
CS 3750 - Computers and Society (3)
Impact of computing technology on individuals and on society. Various current uses of computing devices, how these have evolved, and what the future might bring. Benefits and dangers of information technology. How the Internet and computing devices have fundamentally changed the way we work, play, and interact with others. Overview of computer and information technology (e.g., networking and communications, information management). Secure computing principles and practice. Consequent rise of new social and legal issues, making it essential for everyone to acquire a working understanding of the role of this technology in our daily lives.
Prerequisite(s): None
Component(s): Lecture
Grading Basis: Graded Only

Algorithms for fundamental problems. Efficiency analysis using asymptotic notation. Principal algorithm design techniques and their tradeoffs. NP-theory and approaches used to address intractability.

Prerequisite(s): CS 2400 and STA 2260
Component(s):
 Lecture
Grading Basis: Graded Only

Elements of the object model. Abstraction, encapsulation, modularity, hierarchy and polymorphism. UML Modeling. Object-oriented design principles. Design patterns. Implementation and programming of system design. Code generation. Overview of advanced file and database technology. Model integration with database. Introduction to embedded software. Object and portable data. Comprehensive examples using a case study approach.

Prerequisite(s): CS 2400
Component(s):
 Lecture
Grading Basis: Graded Only

Logic design and computer arithmetic. Logical properties of flip-flops and sequential machines.  Datapath and control unit design. Pipelining. Memory hierarchy and storage technology. Multiprocessing and alternative architectures.

Prerequisite(s): CS 2400 and CS 2640
Component(s):
 Lecture
Grading Basis: Graded Only

Overview of operating systems. Operating system structures. Process management. Concurrency and synchronization. Deadlock. Processor management. Operating system security. Scheduling and dispatch. Memory management. Virtual memory. Device management. File systems.

Prerequisite(s): CS 3650
Component(s):
 Lecture
Grading Basis: Graded Only

Models of the software development process and metrics. Software requirements and specifications. Methodologies, tools and environments. Human-computer interaction. Software architecture, design and implementation techniques. Project management. Cost estimation. Testing and validation. Secure software development life cycle and common software security issues. Automated build, deployment and continuous integration. Maintenance and evolution.

Prerequisite(s): CS 2400
Component(s):
 Lecture
Grading Basis: Graded Only

Transfer Credits

Students may transfer up to 6 credits of computer science courses towards their certificate upon obtaining the necessary approval from the Academic Advisor from the Department of Computer Science at College of Science.  The completed Computer Science course/s must have the equivalent or the same course content/title as the approved curriculum for the Academic Certificate Program.  For the 6 transfer credits, the required grade is C or better for the course/s. 
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