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  1. Past Offerings. Spring 2023 (Prof. Andrew McGregor) Fall 2022 In Person (Prof. Cameron Musco) Fall 2022 Online (Prof. Andrew McGregor) Spring 2022 (Prof. Andrew McGregor) Fall 2021 In Person (Prof. Cameron Musco) Fall 2021 Online (Prof. Andrew McGregor) Spring 2021 (Prof. Andrew McGregor) Fall 2020 (Prof. Cameron Musco)

    • Fall 2019 (Prof. Cameron Musco)

      Course Description: With the advent of social networks,...

    • S22

      Lecture Topic Reading and Background 1 Course overview....

    • S21

      Date Topic Reading and Background 2 Feb Course overview....

    • F21

      Lecture Topic Reading and Background 1 (11/2) Course...

    • F22

      Lecture Topic Reading and Background 1 Course overview....

  2. Course Description: With the advent of social networks, ubiquitous sensors, and large-scale computational science, data scientists must deal with data that is massive in size, arrives at blinding speeds, and often must be processed within interactive or quasi-interactive time frames.

  3. Course Description: With the advent of social networks, ubiquitous sensors, and large-scale computational science, data scientists must deal with data that is massive in size, arrives at blinding speeds, and often must be processed within interactive or quasi-interactive time frames.

  4. Computing and Data Science. This new school will provide an even greater depth of resources to our top-5 ranked computer science program and a planned new building, made possible through a generous $50 million gift from Illinois alumnus Thomas M. Siebel.

  5. The CS51412 and CS51414 are functionally pin−compatible with the LT1376. Features. •V2Architecture Provides Ultrafast Transient Response, Improved Regulation and Simplified Design. •2.0% Error Amp Reference Voltage Tolerance. •Switch Frequency Decrease of 4:1 in Short Circuit Conditions Reduces Short Circuit Power Dissipation.

    • 399KB
    • 22
  6. Explores sorting and selection algorithms including divide-and-conquer, quicksort/quick select, merge sort, binary search trees, memorization, heaps and heapsort, priority queues, hashing, hashed heaps; asymptotic complexity analysis including the Master equation, tree method, amortization; Dynamic Programming on sequences, graphs, trees, and in...

  7. CS 514: Advanced Algorithms II (Sublinear Algorithms) -- Spring 2020. Overview. With the emergence of massive datasets across different application domains, there is a rapidly growing interest in solving various problems over immense amounts of data.

  1. Searches related to CS514

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