Luay Nakhleh received a BSc degree in Computer Science from the Technion (Israel) in 1996, a Master's degree in Computer Science from Texas A&M University in 1998, and a PhD degree in Computer Science from UT Austin in May 2004 (Advisor: Prof. Tandy Warnow). While at UT Austin, he received the Outstanding Doctoral Dissertation Award, the Bert Kay Dissertation Award, the Texas Excellence Teaching Award, and the Outstanding Teaching Assistant Award.
Luay joined the Computer Science department at Rice University as an Assistant Professor in July 2004, and was promoted to Associate Professor, with tenure, effective July 2010. While at Rice, he received the DOE CAREER award in 2006, the NSF CAREER award in 2009, the Phi Beta Kappa Teaching award in 2009, an Alfred P. Sloan Research Fellowship in 2010 (in the Molecular Biology category), and a John P. Simon Guggenheim Foundation Fellowship in 2012 (in the Organismic Biology and Ecology category).
Coursera
Dive into 'Principles of Computing (Part 1)' – an advanced course that builds upon your existing Python programming knowledge. This course will equip you with essential programming practices, critical thinking, and mathematical problem-solving skills crucial for larger scale computational projects.
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Dive into the world of Algorithmic Thinking with Part 1 of this foundational course offered by Coursera. Designed for those who want to simplify and optimize their approach to solving computational problems, this class will equip you with essential mathematical concepts and processes that underpin efficient algorithm design. Whether you're a beginner or looking to refine your skills, this course is an excellent starting point.
Coursera
Dive into Part 2 of 'Principles of Computing', a two-part course that builds upon basic concepts to introduce advanced topics in Computer Science. Learn through engaging content and practical projects using Python, gaining proficiency in problem-solving and efficient coding techniques.
Coursera
Dive deeper into the world of Algorithmic Thinking in Part 2 of this insightful online course offered by Coursera. Designed for those who have already grasped the basics, this advanced class will train you in the mathematical concepts and processes that experienced computer scientists use to solve complex computational problems efficiently. Elevate your problem-solving skills and learn how to build more effective algorithms.