Cse 539 asu

Cse 539 asu

The information provided on this site is protected by U. This information is provided exclusively for the personal and academic use of students, instructors and other university personnel.

Use of this information for any commercial purpose, or by any commercial entity, is expressly prohibited. This information may not, under any circumstances, be copied, modified, reused, or incorporated into any derivative works or compilations, without the prior written approval of Koofers, Inc. Classes Prof. Classes 51 - of CSE No Ratings.

GPA: 3. Theory of Formal Languages. Mobile Computing. Computing Ethics.

Cybersecurity Concentration

Digital Video Processing. Honors Directed Study. Embedded Systems Programming. Advanced Operating Systems. Applied Cryptography. Intro Natural Language Process. Systems Capstone Project I. Artificial Intelligence. Distributed Software Developmt. Introduction to Image Processing and Analysis. Information Assurance. Reading and Conference. Individualized Instruction. Social Media Mining. Embedded Microprocessor System. GPA: 2.

Multimedia and Web Databases. Computer Architecture II. Software Design. Theory of Computation. Computer Networks. Topic: Curricular Practical Training Internship.

cse 539 asu

Software Engineering Project I. Continuing Registration.News and World Report. Masters of Computer Science students at ASU have a unique opportunity for hands-on learning in one of the fasting-growing and highest-paid software specializations: blockchain engineering. A rich ecosystem of partners, including companies and government agencies, support research at the lab.

Dragan Boscovic, who heads the Blockchain Research Laboratory.

Get into Arizona State University - MS in US University Review

Additionally, all the work that the Lab is engaged in with our external partners continually trickles into course assignments. This enables us to expose students to applied problems that are relevant to the challenges and opportunities businesses are looking at today. It has between student members, hailing from a broad range of specializations. This kind of environment gives students the opportunity to explore the future of blockchain across a breadth of applications.

For students who want to become blockchain engineers, Dragan recommends including the following courses:. Interested in starting your own journey toward becoming a blockchain engineer? Share on Facebook Share. Share on Twitter Tweet. Share on LinkedIn Share.

Send email Mail. By detailing the architecture of the technology, this course ensures that learners will be well versed in blockchain fundamentals.

At the same time, it is designed to put learners on the leading edge by presenting the abstract nature of blockchain technology and emphasizing its broad applicability. Topics include the mathematical and cryptographic underpinnings of the technology, as well as mining, consensus protocols, networking, and decentralized governance.

More specifically, covers the following topics: core database concepts, distributed and parallel data systems, deploying and operating data systems in the cloud, NoSQL database systems, and big data tools.Final deadline approaching: April 19 Apply now. For a complete overview of the degree program, including admission, degree requirements, and courses please see the MCS Handbook.

View all course descriptions. To meet degree requirements, all online MCS students must take one foundations course, one systems course, one applications course, and any seven additional courses from the list below. Students must also submit a project portfolio. Master of Computer Science in Cybersecurity. The Cybersecurity concentration is designed to provide students the knowledge, skills and the advanced development capability in science and engineering for cybersecurity, including computer and network security, software security, data and information security, applied cryptography and computer forensics.

Students who pursue the Cybersecurity concentration will be required to take a certain number of their credit hours from a list of courses focused on or relating to cybersecurity. Learn more. Master of Computer Science in Big Data. The Big Data concentration is designed to provide students with the analytical expertise to generate insights from data and inform decision-making for organizations.

Through project-based learning, students will learn to build scalable systems for capturing, processing, and interpreting large and complex data sets. Students who pursue the Big Data concentration will be required to take a certain number of their credit hours from a list of courses focused on or relating to big data.

Ready to sample a course from the MCS program? The following course is open for anyone to enroll in and can provide a great head start if you apply and are admitted to the Master of Computer Science program:. Data in Database Big Data analytics tools are becoming increasingly critical in providing meaningful information and guiding better business decisions.

Big data technologies bring significant cost advantages when it comes to storing and managing large amounts of data. Understanding how to query a database to extract data enables better analysis of large, complex datasets. Knowledge of Indexing mechanisms makes possible high-speed, selective retrieval of large amounts of information.

Get Started. How long will it take to finish my degree? The school year is broken into five 7. How is tuition paid?Final deadline approaching: April 19 Apply now. For a complete overview of the degree program, including admission, degree requirements, and courses please see the MCS Handbook.

View all course descriptions. To meet degree requirements, all online MCS students must take one foundations course, one systems course, one applications course, and any seven additional courses from the list below. Students must also submit a project portfolio. Master of Computer Science in Cybersecurity.

The Cybersecurity concentration is designed to provide students the knowledge, skills and the advanced development capability in science and engineering for cybersecurity, including computer and network security, software security, data and information security, applied cryptography and computer forensics. Students who pursue the Cybersecurity concentration will be required to take a certain number of their credit hours from a list of courses focused on or relating to cybersecurity.

Learn more. Master of Computer Science in Big Data. The Big Data concentration is designed to provide students with the analytical expertise to generate insights from data and inform decision-making for organizations.

Through project-based learning, students will learn to build scalable systems for capturing, processing, and interpreting large and complex data sets. Students who pursue the Big Data concentration will be required to take a certain number of their credit hours from a list of courses focused on or relating to big data. Ready to sample a course from the MCS program? The following course is open for anyone to enroll in and can provide a great head start if you apply and are admitted to the Master of Computer Science program:.

Data in Database Big Data analytics tools are becoming increasingly critical in providing meaningful information and guiding better business decisions. Big data technologies bring significant cost advantages when it comes to storing and managing large amounts of data. Understanding how to query a database to extract data enables better analysis of large, complex datasets. Knowledge of Indexing mechanisms makes possible high-speed, selective retrieval of large amounts of information.

Get Started. How long will it take to finish my degree? The school year is broken into five 7. How is tuition paid? Are there payment plans? You will take 10 courses, or 30 credit hours, to complete the degree. Tuition is paid as each course is taken - you will only be billed for the courses you are enrolled in.

ASU offers a payment plan with the option to budget the payment of certain eligible university charges over several months within the semester. Tuition amounts shown are examples only - exact amounts may differ pending final established rates each year. This degree program takes anywhere from 18 - 36 months to complete, though most working students complete the degree in 2 years.

Courses follow an accelerated format. As such, expect to spend 15 — 20 hours per week on each course. The completion time is based on the number of courses enrolled in per semester.

You must complete 30 credit hours to achieve a masters degree. See the ASU academic calendar.Social and ethical responsibility.

Information Assurance Courses

Lecture, lab. Prerequisite: MAT General Studies: CS. Cross-listed with EEE Prerequisite: Computer Literacy. Non-majors only. General Studies : CS. World Wide Web browsing, searching, publishing, advanced Internet productivity tools. Problem solving by programming with a high-level language Java or another. Prerequisite : CSE Motorola-based assignments.

Cross-listed as EEE Intel-based assignments. Prerequisite: CSE Searching for graphs, hashing and external sorting. Memory organization with cache, virtual memory.

Parallel, machine dependent and declarative language features; type theory; specification, recognition, translation, run-time management.

cse 539 asu

An introduction to acquisition, compression, storage, retrieval, and presentation of data from different media such as images, text, voice, and alphanumeric. Data models and languages.

cse 539 asu

Relational database theory. Performance versus cost trade-offs. Instruction set design. Basic processor implementation and pipelining. Fundamental concepts of digital system design. Reliability and social, legal implications. Requires assembly language programming.

General Studies. Specific concentration on automatic inspection, numerical control, robotics, and integrated manufacturing systems. Prerequisites: CSES degree in computer science, B.

E degree in computer systems engineering, M. S degrees in computer science, and Ph. The IA courses being offered are listed below. Short training programs in Information Assurance and Security for practicing engineers have also been planned.

The requirements for Information Assurance concentrations can be found in the websites of specified degree programs. In addition, the M. In addition, the Ph. CSE Applied Cryptography Use of cryptography for secure protocols over networked systems, including signatures, certificates, timestamps, electrons, digital cash, and other multiparty coordination. CSE Information Assurance and Security Comprehensive understanding of information assurance and security problems with the solutions as well as hands-on experiences about applying these solutions.

CSE Software Security Theories and tools for software security, including secure design, threat analysis and modeling, security testing and coding. CSE Advanced Computer Network Security Comprehensive understanding of network security and corresponding solutions, including cryptography, access control, secure Web transactions, e-mail security, and viruses. The requirements for Information Assurance concentrations can be found in the websites of specified degree programs B.

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Blockchain ready: how Master’s students at ASU are preparing for the blockchain-powered future

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