Introduces fundamental concepts of computer science and computational thinking. Introduces the cryptographic Key Management Libraries and implementation of computer programs. Includes an introduction to program structure, data types, and object-oriented design.
Prerequisite: a minimum grade of 2. 0 in either TMATH 116, TMATH 120, TMATH 121, or MATH 120, a score of 154-163 on MPT-AS test, or a score of 2 on AP exam. Develops fundamental concepts and techniques for analysis, design, and implementation of computer programs using an object-oriented language. Includes recursive techniques and use of abstract data types. 0 in either TCSS 142 or CSE 142. Provides a practicum in program design and development. Programming practice on a medium-scale, object-oriented application, consolidating prior programming principles and expanding knowledge of application design.
Introduces definitions and tools for reasoning about discrete mathematical objects useful for computer professionals, including set theory, propositions and predicates, Boolean algebra, sequences, enumeration, algorithms, methods of proof, and relations. Covers advanced topics in discrete mathematics useful for computing professionals, including basic counting techniques, discrete probability, recurrence relations, graphs, trees, and models of computation such as finite state machines and Turing machines. 0 in TCSS 321 and either TMATH 110 or TMATH 390. Analyzes social, political, and ethical implications of computer and information technologies. Covers Western ethical theories, professional ethics, and diverse topics in computer ethics. Emphasizes writing and the construction of ethical arguments. Introduces C as a language for exploring low-level machine characteristics and interacting with operating system services.
Includes bit models for numeric data, pointers, arrays and structures, memory allocation, development of multiple file programs, libraries, system calls, and tools for compiling and linking. Covers data structures and classical algorithms with an emphasis on implementing them in high-level programming languages. Includes sequential and linked lists, binary trees, heaps, B-trees, hash tables, graphs, and algorithms for searching and sorting. Concentrates on developing implementations, understanding their performance, and estimating their potential effectiveness in applications. Develops competencies associated with problem-solving, algorithms, and computational models. Explores algorithms analysis and design, and computational complexity.
Includes efficient algorithms, models of computation, correctness, time and space complexity, NP-complete problems, and undecidable problems. Covers how to build quality software using standard development practices and representations. Includes writing and using requirements, designing and representing computational units, rigorous program testing, reviews and inspections, and working effectively in teams. Develops the hardware basis for computing systems, and the relationship between hardware and software. Covers number representations, digital logic, machine organization, instruction set architecture, assembly language, and translation of high-level languages into machine instructions. Covers the microarchitecture level of machine design and advanced architecture features for perform enhancement. Introduces fundamental programming language concepts common to all programming languages, including abstraction mechanisms, types, scoping, binding, control flow, subprograms, and concurrency.
Compares imperative and declarative models using multiple programming languages. Examines implementation strategies, memory model, and programming environments. Includes lectures and problem sessions in mathematics, programming, problem solving, and CSS applications. Develops student understanding of how compliers translate high level programming languages into assembly language. Includes specifying programming language syntax, building data structures, generating assembly code, and implementing a complier for a small high-level language. 0 in both TCSS 342 and TCSS 371. Examines the fundamental concepts of operating systems and how they function.
Includes process management, file systems, concurrency, inter-process communication, graphical interfaces, and security. Covers cryptographic methods including public and private key algorithms. Examines protocols that utilize such methods, such as secure email, digital signatures, authorization, e-voting, and electronic cash. Includes lab component for demonstration of security techniques such as firewalls, intrusion detection systems, and virtual private networks.
Introduction to the uses of intelligence theories, techniques, and tools. Foundational material includes search, knowledge representation, machine learning, and planning. Artificial intelligence techniques applied to practical problems in areas such as control systems, optimization, scheduling, and classification. Explores algorithmic design options for motion control, navigation, and obstacle avoidance in mobile autonomous robots. Introduces pertinent principles from artificial intelligence and embedded real-time systems.
Students construct robots from kits and program them to demonstrate sophisticated behaviors. Covers languages, finite automata, regular expressions, context-free grammars, and other automata such as pushdown store machines and Turing machines. Includes models of computation, computable and non-computable functions, non-determinism, space and time complexity, tractable and intractable functions, non-determinism, space and time. Fundamental concepts, system organization, and implementation of database systems. Explores application life cycle, user interfaces, data management, graphics libraries, memory management, localization, and web services.
Examines human-centered design of interactive systems. Focuses on understanding user needs, brainstorming, sketching, choosing from among design alternatives, prototyping, usability testing, representing, communicating, and critiquing designs. 0 in either TCSS 305 or T INST 312. Introduces methods for supervised and unsupervised machine learning, such as decision trees, random forests, boosted decision trees, logistic regression, neural networks, deep learning, clustering, and association rule mining.
Prerequisite: TCSS 343, or permission from instructor. Includes relevant background material in linguistics, mathematics, probability theory, and computer science. Covers text similarly, part of speech tagging, parsing, semantics, question answering, sentiment analysis, and text summarization. Introduction to the main concepts in image synthesis, modeling, and animation.
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Topics include displays, drawing and rendering algorithms, geometric transformations, 2- and 3D viewing, objects representation, and computer animation. Analyzes system re-engineering, domain-specific languages, generative development, system design and service-oriented architecture. Also covers how to handle legacy systems, utilize model driven software development to automate code generation and understand low to high level architectures, by using software engineering methodologies, refactoring, UML, and the Eclipse framework. An examination of particular theory and practice in designing software embedded in electronic devices and controllers. Includes clocks, threads, multitasking, critical sections, monitors, scheduling, on chip and external device interfacing, communications, and fault tolerance. Introduces basic concepts and techniques used in the analysis of biological data, as well as applications of computational techniques in biological applications. Students will learn biology concepts and vocabulary.
The programming language R primarily will be used. No background in biology is required. Study and comparison of several programming languages in regards to data structures, operations, notation, and control. Examines programming paradigms, implementation strategies, programming environments, and programming style. 0 in both TCSS 342 and TCSS 333. Discusses the theoretical and practical issues surrounding computer security and data protection.
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Prerequisite: either T INST 312, which may be taken concurrently, or a minimum grade of 2. 0 in both TCSS 342 and TCSS 325. Covers basic concepts of cryptography, including authentication, public key cryptography, and digital signatures. Additionally, it covers modern definitions of security, implementation aspects of cryptographic schemes and their use in computer networks and the internet. 0 in TCSS 321 or TMATH 125 or TMATH 402. Covers electronic communication over noisy channels, and digital storage on various types of media.
0 in TMATH 308 or TCSS 321. Examines current topics and issues associated with computing and software systems. Development of large-scale software project in advanced imaging involving computational intelligence and artificial life applied to such fields as game development or virtual reality. Students work in interdisciplinary teams that integrate several computer science areas.
Advanced topics: game programming, artificial life, virtual humans, and computer animation. Project as delineated in a contract between student, faculty advisor, and community sponsor. Readings as specified in agreement with faculty. Design and implementation of a research study as specified in a contract with faculty. Examines foundational aspects of both enterprise and architectural thinking, including the application software to technology to solution architecture continuum, the role of EA in business and IT alignment, architectural styles and techniques for capturing and documenting architectures. Practices techniques for analyzing and reasoning about architectures. Examines advanced aspects of enterprise architecture practices and its application to guide and support business strategy.
An EA maturity framework and governance practices are developed through a case study on applying evolving technologies – cloud, mobile, social media, big data in the EA context to solve business problems. Provides an introduction to cloud computing and virtualization – enabling multiple instances of operating systems to be run on a single physical system. Covers computational models including finite automata, regular expressions, context-free grammars, pushdown automata, Turing machines, and techniques for analyzing them. Basic computability theory and undecidability, computational complexity theory, and NP-completeness. Prepares students for analysis and use of advanced algorithms. Examines math concepts on linear algebra and linear transformation, and subjects on singular value decomposition, Fourier transforms, Wavelet transforms, and other topics.
Students apply these math concepts and implement numerical solutions to problems in areas including pattern recognition, information retrieval, web search, image processing, cryptography, and machine learning. Examines a variety of techniques to perform data analytics and their extensions to big data infrastructure. Students will be able to identify mathematical foundations of data analytics, data analyses algorithms and tools. Introduces big data infrastructure, distributed computational paradigm, and distributed data analytics algorithms. 0 in TCSS 343 and TCSS 445 or equivalent. IR, and evaluation of IR systems. Explores learning and predictive modeling methods for data analysis, such as decision trees, instance based earning, Baysian learning, neural networks, ensemble methods, and support vector machines.
Surveys fundamental concepts of learning theory. Investigates a service-oriented computing paradigm for use with the Internet, web services. Includes comparisons of distributed computing paradigms, enterprise application integration, service oriented architecture, web services concepts, web services technologies, service coordination protocols, service compositions, and service applications. Analyzes the internals of a database system and the principles of building a database engine, including buffer management, query execution and optimization, and transaction management.
Provides hands-on experience on the internals of one of the commercial database management systems as a case study. 0 in TCS 343 or equivalent. In addition to signals and systems, linear transforms and analysis, state machines and how to build models of hybrid systems, the course also introduces basics of embedded systems and the computation models of systems, including both software components and physical dynamics. Examines physical design and logical design of Internet of Things, functional blocks and architecture, protocols and communication models, enabling technologies, application domains specific to Internet of Things, smart objects, development tools, system management, cloud services, security and data analytics. Prerequisite: TCSS 558, or permission from instructor. Recommended: PHYS 122 and PHYS 123 or Electromagnetics Basics. Reviews the current state of network control efforts for CPS.
Studies recent development of control algorithms for CPS. Focuses on approaches to deliver fully distributed control over wireless sensor networks from control theoretic perspective. Prerequisite: TCSS 569, or permission from the instructor. Covers simple ciphers, block and stream ciphers, attacks, public-key ciphers, electronic signature, cryptographic algorithms, and real-world examples. Covers advanced topics of cryptographic protocols, including formal definitions of security, composability, zero knowledge proofs, commitment schemes, oblivious transfer, secure two-party computations and secure multi-play computations. 0 in TCSS 540, TCSS 543 or TCSS 581.
Covers fundamentals of Shor’s attack against conventional cryptography and notions of quantum-resistant cryptosystems. Includes the main lattice-based schemes for encryption, signatures, and homomorphic encryption, as well as code-based encryption, hash-based, and multivariate digital signatures. Additionally, highlights research problems and deployment issues of the technique. Covers applications of computational techniques in various biological applications, including sequence analysis, systems biology, personalized medicine, and drug discovery.
Focuses on machine learning methods in mining big data sources in biology. Examines current graduate-level topics and issues associated with computing and software systems. Discusses recent developments in bioinformatics, focusing on machine learning methods and integration of big biology data. Consists of reading papers, surveying the latest methods, and tools developed for high dimensional data. Discusses recent developments in data science, focusing on applications and advances in data management and mining for data from a variety of domains. Consists of reading papers, surveying the latest tools, and techniques of data science.
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Consists of reading papers and surveying the latest tools and techniques of GIS. Consists of reading papers and surveying the latest tools and techniques in cybersecurity. Discusses recent developments in the modeling analysis, security, and control of cyber-physical systems. Surveys the canonical literature pertinent to a master’s degree in CSS. Readings in research and applied computing are assigned to provide a grounding in Masters level work. Weekly discussions of topics taken from the readings. Provides an opportunity to demonstrate comprehensive knowledge in CSS.
Completes a research project led by a CSS graduate faculty advisor. Develops a significant design and implementation project led by a CSS faculty graduate advisor. How to configure the services that must be able to receive incoming connections from unknown clients or services. This guidance outlines how to configure the services that must be able to receive incoming connections from unknown clients or services. At the time of writing, the current version of TLS is version 1.
2, which includes security improvements over version 1. TLS is a protocol that provides this security. Selecting protocol versions, cryptographic algorithms and parameters There are many configuration options that affect the security of a service and communications with it. Unfortunately, selecting the most secure configuration may mean some users are unable to connect to your service. For this reason, you may need to find a balance between security and those users that it’s essential the service can reach. Old’ profile is risky and should be avoided, as it would mean supporting the insecure SSL protocol. In these situations we recommend you use one of the preferred TLS configurations given below.
Certificate Authorities will issue certifcates for your domain. Choosing a Certificate Authority TLS uses X. 509v3 certificates to cryptographically validate identities presented by one or both of the communicating parties. If the connecting party is able to validate that the certificate presented to it is issued by a CA it trusts, then secure communications should be established. Further good advice on what to look for in a CA is set out in section 1. Requesting a certificate In order to have an X. CA to be signed, thus keeping your private key secret.
There are several parameters you can choose for your private key and signing request. These scans will identify most common issues and configuration problems. They should not be seen as a replacement for skilled penetration testing of your services, but if you have already used tools such as these to help identify and mitigate common issues, then penetration testers will have more time to spend ensuring there are not more subtle or unique flaws in your service. Note that whilst it is possible for others to test the ability for you to receive email securely, it is not possible for others to test the ability of your services to send email securely without your cooperation. You have to send an email to a testing service, such as that offered by checktls. Foundation Profile for TLS Depending on equipment and infrastructure support, deploying Combination 1 of the Suite B profile for TLS may not be achievable.
It is also available on Linux. A major shortcoming of PuTTY is that it does not have integrated file transfers in the client itself. Instead, file transfers have to be done via the command line. This is too complicated for most users. Tectia SSH has had them since 2000. It can be used with Linux OpenSSH. Supports both 32-bit and 64-bit Windows.
An MSI installer has been available since 2016. Both SSH2 and SSH1 protocols are supported. Note that use of SSH1 is not recommended for security reasons. Practically all devices support SSH2 these days.
File transfers only using a separate command-line programs. No scripting support, but can be used together with WinSCP. It has good terminal emulation, good configurability, and good support for different cryptographic algorithms. The PuTTY terminal is pretty good and handles terminal emulation well. However, command-line tools called PSFTP and PSCP are provided. These can be used for file transfers.
However, most non-technical users are not willing to use a command line. Tectia SSH, for example, has offered fully integrated file transfer capability since 2000. Having two software packages, switching between them to do operations, and managing profiles and logins for both is extra trouble. WinSCP can now import PuTTY profiles, but separate login is still required for each. The keys are stored in . The PuTTYgen tool can be used for generating new keys and converting between . It is common for hackers and malware to collect SSH keys when penetrating an organization.
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This happened, for example, in the infamous Sony breach. Recently, Wikileaks obtained CIA hacking tools designed to steal SSH keys and their passphrases. Managing SSH keys properly is important. Universal SSH Key Manager a popular SSH key management solution and the only one at the time of this writing that supports . It still supports the telnet protocol. However, very few devices use telnet these days.
Its use is not recommended for security reasons. Telnet sends all user names and passwords in the clear. It is very easy to listen to network traffic and steal user names and passwords from telnet traffic. By mid-1990s, such password sniffing attacks had become the largest security problem on the Internet. That was the very problem SSH was designed to solve. Compromised routers, switches, or ARP proofing attacks can also be used to inject arbitrary commands into telnet sessions. There is a separate version of the software, called PuTTYtel, for countries that do not allow any use of encryption.
However, SSH is now used in all countries, officially or unofficially. Most systems can no longer be managed without encryption. Even the most oppressive countries need to secure their systems somehow. There cannot be cybersecurity in a networked environment without encryption.
PuTTY also supports connecting to serial ports and raw sockets. These can sometimes be useful for debugging purposes and for working with some legacy devices. For example, in kernel development access via a serial port is still sometimes the best way to debug a panic that causes an immediate reboot, as it provides a way to see the boot messages. 66 and earlier are known to contain security vulnerabilities. Upgrading to the latest version is recommended. This a potential stack overflow and remote code execution vulnerability. It could also be exploited by man-in-the-middle attacks.
Integer overflow in terminal escape sequence handling. This is a memory corruption and possible remote code execution vulnerability. It involves sending an escape sequence to the terminal. For example, a compromised switch could inject the attack into a session. A trojaned version has been circulating.