Data Structure and Algorithms
UCERD Rawalpindi
Supercomputing Center
UCERD Murree
UCERD Gathering Intellectuals Fostering Innovations
Unal Center of Educaiton Research & Development
Unal Center of Educaiton Research & Development
Data structures and algorithms course describes fundamental concepts of computer science for efficient and effective problem solving in a variety of applications. Data structures are ways of organizing and storing data in a computer, such as arrays, linked lists, trees, and graphs, while algorithms are sets of instructions used to manipulate the data in these structures. The study of data structures and algorithms involves the design and analysis of methods for efficiently solving computational problems. It plays a critical role in the development of software, databases, and computer systems, and helps to determine the time and space complexity of solutions. Students will learn deep understanding of data structures and algorithms for software developers, computer scientists, and anyone working on large-scale computational problems.
Course Material
Codes
Codes
Dr. Tassadaq Hussain.
He is a permanent faculty member at, Riphah International University.
He did his Ph.D. from Barcelona-tech Spain, in collaboration with Barcelona Supercomputing Center and Microsoft Research Center.
He is a member of HiPEAC: European Network on High Performance and Embedded Architecture and Compilation, Barcelona Supercomputing Center and Microsoft ResearchCentre Spain.
Until January 2018, he had more than 14 years of industrial experience including, Barcelona Supercomputing Centre Spain, Infineon technology France, Microsoft Research Cambridge, PLDA Italia, IBM Zurich Switzerland, and REPSOL Spain. He has published more than 50 international publications and filed 5 patents.
Tassadaq's main research lines are Machine Learning, Parallel Programming, Heterogeneous Multi-core Architectures, Single board Computers, Embedded Computer Vision, Runtime Resource Aware Architectures, Software Defined Radio and Supercomputing for Artificial Intelligence and Scientific Computing.
www.tassadaq.ucerd.com
He is a permanent faculty member at, Riphah International University.
He did his Ph.D. from Barcelona-tech Spain, in collaboration with Barcelona Supercomputing Center and Microsoft Research Center.
He is a member of HiPEAC: European Network on High Performance and Embedded Architecture and Compilation, Barcelona Supercomputing Center and Microsoft ResearchCentre Spain.
Until January 2018, he had more than 14 years of industrial experience including, Barcelona Supercomputing Centre Spain, Infineon technology France, Microsoft Research Cambridge, PLDA Italia, IBM Zurich Switzerland, and REPSOL Spain. He has published more than 50 international publications and filed 5 patents.
Tassadaq's main research lines are Machine Learning, Parallel Programming, Heterogeneous Multi-core Architectures, Single board Computers, Embedded Computer Vision, Runtime Resource Aware Architectures, Software Defined Radio and Supercomputing for Artificial Intelligence and Scientific Computing.
www.tassadaq.ucerd.com