Marwa Banna
Assistant Professor of Mathematics
Affiliation: NYU Abu Dhabi
Education: BA Lebanese University; MA Université Paris-Est Marne-la-Vallée; PhD Université Paris-Est Marne-le-Vallée

Marwa Banna is a mathematician working on high-dimensional probability theory. This theory has gained lots of momentum in recent years as it provides new mathematical tools to analyze complex and high-dimensional data. Such tools are at the core of many advancements in data science, machine learning, and neural networks, wireless communication, image processing, finance, biology, etc.
Banna’s research lies, particularly in free probability theory, random matrix theory, and matrix concentration inequalities. She obtained her PhD from Université Paris-Est Marne-la-Vallée in September 2015. She was then a CNRS postdoctoral associate at Télécom ParisTech before joining the free probability group at Saarland University as a postdoctoral researcher.
Courses Taught
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2 credits
This course will provide the basic mathematical toolkit needed for students who do not wish to pursue calculus but still need to be exposed to the mathematical concepts and techniques that are required to study elementary statistics and mathematical models in the social sciences. Emphasis will be placed on the understanding of important concepts and on developing analytical skills rather than just on computational skills, the use of algorithms, and the manipulation of formulae.
Available for First-Year and Second Year Students who have taken the Math Placement Assessment and met the minimum requirements.
Previously taught: Fall 1 2020, Spring 1 2021, Fall 1 2021, Spring 1 2022, Fall 1 2022, Spring 1 2023, Fall 1 2023, Spring 1 2024, Fall 1 2024
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Spring 1 2025;
7 Weeks
R 15:35 - 16:50 Taught in Abu Dhabi -
Spring 1 2025;
7 Weeks
Dania Zantout - MW 14:10 - 15:25 Taught in Abu Dhabi -
Spring 1 2025;
7 Weeks
Dania Zantout - MW 17:00 - 18:15 Taught in Abu Dhabi -
Spring 1 2025;
7 Weeks
R 15:35 - 16:50 Taught in Abu Dhabi -
Spring 1 2025;
7 Weeks
F 09:25 - 10:40 Taught in Abu Dhabi -
Spring 1 2025;
7 Weeks
F 09:25 - 10:40 Taught in Abu Dhabi -
Spring 1 2025;
7 Weeks
Boualem Djehiche - MW 11:20 - 12:35 Taught in Abu Dhabi -
Spring 1 2025;
7 Weeks
Nizar Demni - MW 15:35 - 16:50 Taught in Abu Dhabi -
Spring 1 2025;
7 Weeks
F 10:50 - 12:05 Taught in Abu Dhabi -
Spring 1 2025;
7 Weeks
Boualem Djehiche - MW 12:45 - 14:00 Taught in Abu Dhabi -
Summer 2025;
4 Weeks
Dania Zantout - TR 10:00 - 11:30 Taught in Abu Dhabi -
Summer 2025;
4 Weeks
Dania Zantout - MWF 10:00 - 12:00 Taught in Abu Dhabi -
Fall 1 2025;
7 Weeks
Dania Zantout - MW 09:55 - 11:10 Taught in Abu Dhabi -
Fall 1 2025;
7 Weeks
Dania Zantout - MW 17:00 - 18:15 Taught in Abu Dhabi -
Fall 1 2025;
7 Weeks
Hira Faraz - T 08:30 - 09:45 Taught in Abu Dhabi -
Fall 1 2025;
7 Weeks
T 11:20 - 12:35 Taught in Abu Dhabi -
Fall 1 2025;
7 Weeks
W 15:35 - 16:50 Taught in Abu Dhabi -
Fall 1 2025;
7 Weeks
Dania Zantout - TR 12:45 - 14:00 Taught in Abu Dhabi
This course appears in...
- Core Curriculum > Quantitative Reasoning
- Majors > Mathematics > Courses for Non-Majors
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Spring 1 2025;
7 Weeks
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In many applications of mathematics, a response of some systems is nearly a linear function of the input. These linear systems, which arise in elasticity, in electrical engineering, and in economics for example, involve linear equations in many unknowns. The associated matrix algebra is a rich and beautiful field of mathematics. It is also central to the analysis of linear ordinary and partial differential equations. The material in this course places emphasis on theorems and proofs, and includes systems of linear equations, Gaussian elimination, matrices, determinants, Cramer's rule, vectors, vector spaces, basis and dimension, linear transformations, eigenvalues, eigenvectors, and quadratic forms.
Prerequisite: MATH-UH 1012 or relevant result in Math Proficiency Assessment
Previously taught: Summer 2016, Fall 2016, Spring 2017, Fall 2017, Spring 2018, Fall 2018, Spring 2019, Fall 2019, Spring 2020, Fall 2020, Spring 2021, Fall 2021, Spring 2022, Fall 2022, Spring 2023, Fall 2023, Spring 2024, Fall 2024
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Spring 2025;
14 Weeks
F 10:50 - 12:05 Taught in Abu Dhabi -
Spring 2025;
14 Weeks
F 15:45 - 17:00 Taught in Abu Dhabi -
Spring 2025;
14 Weeks
Nizar Demni - MW 09:55 - 11:10 Taught in Abu Dhabi -
Spring 2025;
14 Weeks
Arman Mimar - TR 11:20 - 12:35 Taught in Abu Dhabi -
Spring 2025;
14 Weeks
Mostafa Sabri - MW 12:45 - 14:00 Taught in Abu Dhabi -
Spring 2025;
14 Weeks
F 15:45 - 17:00 Taught in Abu Dhabi -
Fall 2025;
14 Weeks
Mostafa Sabri - TR 15:35 - 16:50 Taught in Abu Dhabi -
Fall 2025;
14 Weeks
Nizar Demni - MW 08:30 - 09:45 Taught in Abu Dhabi -
Fall 2025;
14 Weeks
Nizar Demni - MW 12:45 - 14:00 Taught in Abu Dhabi -
Fall 2025;
14 Weeks
F 14:20 - 15:35 Taught in Abu Dhabi -
Fall 2025;
14 Weeks
F 15:45 - 17:00 Taught in Abu Dhabi -
Fall 2025;
14 Weeks
F 08:00 - 09:15 Taught in Abu Dhabi -
Fall 2025;
14 Weeks
M 17:00 - 18:15 Taught in Abu Dhabi -
Fall 2025;
14 Weeks
T 17:00 - 18:15 Taught in Abu Dhabi -
Fall 2025;
14 Weeks
Arman Mimar - MW 12:45 - 14:00 Taught in Abu Dhabi -
Fall 2025;
14 Weeks
Mostafa Sabri - TR 11:20 - 12:35 Taught in Abu Dhabi
This course appears in...
- Core Curriculum > Quantitative Reasoning
- Majors > Civil Engineering > Required Math and Science Courses
- Majors > Computer Engineering
- Majors > Electrical Engineering > Required Math and Science Courses
- Majors > General Engineering
- Majors > Mathematics
- Majors > Physics
- Minors > Applied Mathematics
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Spring 2025;
14 Weeks
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Most real world phenomena include non-deterministic or non-deterministically predictable features. The course is designed to provide an introduction to the mathematical treatment of such aspects, acquainting the students with both probability and statistics. The course includes: mathematical definition of probability; combinatorics; finite, discrete and continuous probabilities of single and joint random variables; law of large numbers and normal approximation; sampling; estimation; testing of hypotheses; correlation and regression.
Prerequisite: MATH-UH 1020 or MATH-UH 1021
Previously taught: Spring 2017, Spring 2018, Fall 2018, Spring 2019, Fall 2019, Spring 2020, Fall 2020, Spring 2021, Fall 2021, Spring 2022, Fall 2022, Spring 2023, Fall 2023, Spring 2024, Fall 2024
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Spring 2025;
14 Weeks
F 09:25 - 10:40 Taught in Abu Dhabi -
Spring 2025;
14 Weeks
Federico Camia - MW 12:45 - 14:00 Taught in Abu Dhabi -
Spring 2025;
14 Weeks
F 15:45 - 17:00 Taught in Abu Dhabi -
Spring 2025;
14 Weeks
Marwa Banna - MW 08:30 - 09:45 Taught in Abu Dhabi -
Fall 2025;
14 Weeks
F 15:45 - 17:00 Taught in Abu Dhabi -
Fall 2025;
14 Weeks
Federico Camia - MW 12:45 - 14:00 Taught in Abu Dhabi -
Fall 2025;
14 Weeks
F 08:00 - 09:15 Taught in Abu Dhabi -
Fall 2025;
14 Weeks
Marwa Banna - TR 14:10 - 15:25 Taught in Abu Dhabi
This course appears in...
- Core Curriculum > Quantitative Reasoning
- Majors > Mathematics
- Majors > Physics
- Minors > Applied Mathematics
- Pre-Professional Courses > Premedical and Health Studies
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Spring 2025;
14 Weeks
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The course provides an introduction to rigorous probability theory using measure theory. The necessary notions of measure theory are introduced as needed, and the proofs of essential introductory results of measure theory and probability theory are presented in detail. The main topics of the course include the definition and construction of probability spaces and random variables, limit theorems, conditional expectations, martingales, Markov chains and stochastic processes.
Prerequisite: MATH-UH 2011Q and MATH-UH 2013
Previously taught: Fall 2018, Fall 2019, Spring 2022, Fall 2022, Fall 2023
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Fall 2025;
14 Weeks
Marwa Banna - MW 09:55 - 11:10 Taught in Abu Dhabi
This course appears in...
- Majors > Mathematics
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Fall 2025;
14 Weeks