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IBM’s Quantum Computer Programming: Hands-On Workshop (Asynchronous)
Practical Quantum Programming
100% online course
https://quantgates.com/learn-quantum
This course offers a comprehensive introduction to quantum computing, starting from the basics and progressing to advanced algorithm design and implementation. No prior knowledge of quantum computing or quantum physics is required, though familiarity with matrix-vector multiplication is expected. The course will guide you through the mathematics of quantum computing, the creation of quantum gates and circuits, and the implementation of the Quantum Approximate Optimization Algorithm (QAOA) on IBM's quantum computers. With a focus on practical applications, this asynchronous course is suitable for beginners and experienced programmers alike. It is an course taught on Canvas, Asynchronous. Cost $24.00. A certificate is earned and awarded.
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Thankgsgiving Break Picnic! All students and faculty, Join Us! When: Saturday, November 30th |
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More Undergraduate and Graduate Student Opportunities
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This program is designed to provide a foundation for mathematical work and application of mathematics in scientific or technical fields and industry. It should normally take a full-time student two years to complete. Five concentrations are offered: pure mathematics, applied analysis, biostatistics, cryptology, and information security, and financial mathematics. Students can enter an accelearated joint-graduate program in mathematics and electrical engineering, leading to an M.S. degree in mathematics and a Ph.D. in electrical engineering. See graduate level advisors for details.
In addition to meeting the University graduate admission requirements (including a score of at least 155 on the quantitative reasoning section of the GRE), applicants must have a bachelor's degree in mathematics or coursework that includes the equivalent of Introduction to Advanced Mathematics, Modern Algebra, and Probability and Statistics 1, as well as computer competency. Applicants who do not meet all of the requirements will still be considered for conditional admission.
A Bachelor's degree in Mathematics (or equivalent coursework) with at least 3.0 GPA (or equivalent), three letters of recommendation documenting the applicant's prior work in mathematics focusing on preparation and suitability for success in graduate-level mathematics courses, a quantitative general GRE (revised) score of at least 155, and approval of the departmental graduate committee. In addition, it is recommended to include scores of the GRE subject test mathematics as part of the application package.
If your undergraduate major is not in Mathematics, see our Frequently Asked Questions page for a list of required prerequisite coursework.
Interested in the Master of Science in Teaching? Click here.
Click here for detailed application steps: application information.
To complete the M.S. degree in Mathematics, the candidate must complete at least 30 credits of graduate coursework and satisfy the following criteria in addition to University requirements:
To complete the M.S. degree in Mathematics, the candidate must complete at least 30 credit hours of graduate course work, and satisfy the following criteria in addition to University requirements:
1. Earn at least 24 credits in courses specified in a degree concentration, pre-approved by the graduate advisor in mathematics, at least 15 credits of all credits applied to the degree must be at the 6000-level.
2. If pre-approved by the department graduate committee, up to 12 credits of FAU coursework from outside of the Department of Mathematical Sciences may count toward the degree.
3. Complete one of the following three capstone options below.
For information about the PHD, MS, and AMST programs contact
Prof. Hongwei Long, Graduate Director, at mathgraduate@fau.edu
Department of Mathematics and Statistics
Florida Atlantic University
777 Glades RD
Boca Raton, FL 33431
For information about the Ph.D., MS, and AMST programs contact:
Prof. Hongwei Long, Graduate Director at mathgraduate@fau.edu
Department of Mathematical Sciences
Florida Atlantic University
777 Glades RD
Boca Raton, FL 33431
Capstone Options |
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Thesis - 6 credits |
MAT 6971 | 1-6 |
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Masters Thesis (may be taken over multiple terms) |
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Internship - 6 credits |
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Internship in Applied Mathematics |
MAT 6941 | 1-6 |
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Non-Thesis, Non Internship - 6 credits |
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Select 6 credits of graduate courses at the 6000 level approved by the department and complete M.S. exam |
Pure Mathematics - 24 credits |
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Common Core Course |
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Linear Algebra MAS 5145 3 cr |
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Additional Core Courses - 9 credits, select three of the following four courses |
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lntroductory Analysis 1 MAA 5228 3 cr |
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Introductory Analysis 2 MAA 5229 3 cr |
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Introductory Abstract Algebra 1 MAS 5311 3 cr |
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Introductory Abstract Algebra 2 MAS 5312 3 cr |
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At least four elective courses - 12 credits |
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Select 12 credits at the 5000 or 6000 level from the Mathematical Sciences Department. A minimum of 9 credits must be taken at the 6000 level. |
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Applied Analysis - 24 credits |
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Common Core Course |
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Linear Algebra MAS 5145 3 cr |
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Additional three core courses - 9 credits |
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| Introductory Analysis 1 |
MAA 5228 |
| Computational Mathematics |
MAD 6403 -OR- |
| Numerical Analysis |
MAD 6704 |
| Ordinary Differential Equations |
MAP 6336 -OR- |
| Partial Differential Equations |
MAP 6345 |
| At least four additional courses, 12 credits | |
| Introduction to Data Science |
CAP 5768 |
| Multivariable Analysis |
MAA 5105 |
| Introductory Analysis 2 |
MAA 5229 |
| Real Analysis |
MAA 6306 |
| Complex Analysis 1 |
MAA 6406 |
| Introduction to Functional Analysis |
MAA 6506 |
| Computational Mathematics |
MAD 6403 |
| Numerical Analysis |
MAD 6407 |
| Introduction to Dynamical Systems and Chaos 1 |
MAP 6211 |
| Ordinary Differential Equations |
MAP 6336 |
| Partial Differential Equations |
MAP 6345 |
| General Topology 1 |
MTG 6316 |
| Regression Analysis |
STA 6236 |
| Mathematical Statistics |
STA 6326 |
| Mathematical Probability |
STA 6444 |
| Applied Time Series Analysis |
STA 6857 |
Biostatistics - 24 credits |
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Common Core Course |
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Linear Algebra |
MAS 5145 3 cr |
Additional three core courses - 9 credits |
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| Biostatistics |
STA 5195 |
| Mathematical Statistics |
STA 6326 |
| Mathematical Probability |
STA 6444 |
| At least five elective courses, 15 credits | |
| Introduction to Data Science |
CAP 5768 |
| Data Mining and Machine Learning |
CAP 6673 |
| Multivariable Analysis |
MAA 5105 |
| Numerical Analysis |
MAD 6407 |
| Statistical Computing |
STA 6106 |
| Survival Analysis |
STA 6177 |
| Biostatistics - Longitudinal Data Analysis |
STA 6197 |
| Applied Statistical Methods |
STA 6207 |
| Regression Analysis |
STA 6236 |
| Topics in Probability and Statistics (Stochastic Calculus) |
STA 6446 |
| Applied Time Series |
STA 6857 |
Cryptology Track - 24 credits |
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Common Core Course |
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Linear Algebra |
MASA 5145 3 cr |
Additional three core courses - 9 credits |
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| Introduction to Cryptology and Information Security | MAD 5474 |
| Crypto Analysis | MAD 6478 |
| Coding Theory | MAD 6607 |
| Select three courses (9 credits) | |
| Introductory Abstract Algebra 1 | MAS 5311 |
| Introductory Abstract Algebra 2 | MAS 5312 |
| Introductory Analysis 1 | MAA 5228 |
| Introductory Analysis 2 | MAA 5229 |
| Mathematical Probability | STA 6444 |
| Mathematical Statistics | STA 6326 |
| At Least one Elective Course | |
| Algebraic Curves | MAS 6315 |
| Cryptography | MAD 6477 |
| Algebraic Number Theory | MAS 6215 |
| Mathematical Probability | STA 6444 |
| Mathematical Statistics | STA 6326 |
| Randomized Algorithms | COT 6446 |
| Analysis of Algorithm | COT 6405 |
| Secret Sharing Protocols | COT 6427 |
| Computer Networks | CNT 5008 |
| Information Theory | EEL 6532 |
| Computer Data Security | CIS 6370 |
| Special Topics | MAT 6933 |
| Computational Mathematics | MAD 6403 |
| Commutative Algebra | MAS 6333 |
| Topics in Algebra | MAS 6396 |
| Enumerative Combinatorics | MAD 6206 |
| Graph Theory | MAD 6307 |
| Distributed Systems Security | CIS 6375 |
| Cyber Security: Measurement and Data Analysis | CTS 6319 |
Financial Mathematics - 24 credits |
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Common Core Coourse |
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Linear Algebra |
MAS 5145 3 cr |
Additional six core courses - 18 credits |
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| Introductory Analysis 1 | MAA 5228 |
| Mathematical Statistics | STA 6326 |
| Mathematical Probability | STA 6444 |
| Applied Time Series Analysis | STA 6857 |
| Financial Mathematics 1 | STA 6907 |
| Topics in Probability and Statistics (Stochastic Calculus) | STA 6446 |
At Least One Elective course |
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| Regression Analysis | STA 6236 |
| Directed Independent Study | STA 6907 |
| Financial Management | FIN 6406 |
| Financial Markets | FIN 6236 |
| Portfolio Theory | FIN 6525 |
| Applied Statistical Methods | STA 6207 |
| Topics in Probability and Statistics | STA 6446 |
| Statistical Computing | STA 6106 |
| Introductory Analysis 2 | MAA 5229 |
| Multivariable Analysis | MAA 5105 |
| Machine Learning and Data Mining | CAP 6673 |
* As with all degree programs, the authoritative source for the degree requirements is the University Catalog that was in effect for the academic year in which the student entered the University. The information on this page does not supersede the Catalog.
