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CMSC 2000: Introduction to Cybersecurity
3.00 Credits
Pennsylvania Western University
This course is a broad overview to the field of cybersecurity and serves as a foundation for understanding key concepts related to protecting information assets. Topics include common cyberattacks, cryptography, security protocols, attack mitigation mechanisms, and cyber wellness. Forms the basis for more advanced studies in cybersecurity.
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CMSC 2010: Operating Systems
3.00 Credits
Pennsylvania Western University
This course focuses on fundamental principles in modern operating systems including Windows, Unix/Linux and Mac OS. Students learn about the services provided by operating systems' software, memory management, process scheduling and communication, storage, input/output, and distributed systems. OS security and data protection and the interaction between computers will be also covered.
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CMSC 2040: Object Oriented Programming
3.00 Credits
Pennsylvania Western University
Object Oriented Programming- This course teaches object-oriented programming. Object-orientated programming offers a natural method for designing software systems that build on the concepts of data abstraction, information hiding and modularity. Students will design and implement solutions to problems using an object-oriented programming language.
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CMSC 2100: Log & Switch Theory
3.00 Credits
Pennsylvania Western University
This course provides the student with an in-depth study of the basis of digital computers. Number systems, arithmetic operations, codes, Boolean algebra, Boolean minimization techniques, state transition tables and state transition graphs are discussed. Extensive emphasis is placed on the analysis and synthesis of synchronous and asynchronous combinational networks which form digital computers.
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CMSC 2400: Computer and Networking
3.00 Credits
Pennsylvania Western University
This course covers concepts in the design and implementation of computer communication networks, their protocols, the applications, and advanced principles of computer networks. Security issues in communication networks will be also studied, including secure communication, authentication, firewalls and intrusion detection.
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CMSC 2450: Applied Cryptography
3.00 Credits
Pennsylvania Western University
An introduction to cryptography with the number theory portion tied in. The following topics will be covered: Modular Arithmetic, Classical Cryptography, Public Key Cryptography, Introduction to Complexity, and their corresponding implementations in an appropriate computer programming language.
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CMSC 2750: Project Management
3.00 Credits
Pennsylvania Western University
This course focuses on the management and change control for both general and IT-related projects. Technical and behavioral aspects of project management are applied within the context of an information systems development project.
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CMSC 3040: Data Structures
3.00 Credits
Pennsylvania Western University
The design, use and programming of data structures, such as stacks, queues, linked lists and binary trees, will be discussed. Sorting and searching methods are also discussed in this course. The analysis of algorithms will be considered as well as the applications of the various data structures.
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CMSC 3100: Assembly
3.00 Credits
Pennsylvania Western University
In this course students will study assembly language. In doing so, students will develop some concepts related to the architecture and operations of the computer. Programs will be written and implemented using the instructions in this assembly language. Constructs such as selection, looping and subprograms will be implemented.
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CMSC 3140: Analysis of Algorithms
3.00 Credits
Pennsylvania Western University
This course covers algorithm analysis theory and techniques. Students learn properties of both efficient and inefficient algorithms. The importance of analyzing algorithms before implementing them will be emphasized. This course will teach the skills necessary to determine the best algorithm for a given problem. We will investigate greedy, graph theoretic, divide and conquer, and distributed algorithms. We will cover both polynomial time algorithms and NP-completeness.
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