PDX CS 350

• Universities
• PDX
• CS
• 350

Course Description

Raw: Techniques for the design and analysis of algorithms. Case studies of existing algorithms (sorting,

Stemmed: techniqu design analysi algorithm case studi exist algorithm sort search graph algorithm dynam progr

Inferred Topics

• 26   (0.747373) algorithm, analysi, design, complex, problem, includ, dynam, matrix, case, sort

  (0.756) KSU CIS 575 Introduction to Algorithm Analysis

  (0.747) PDX CS 350 Algorithms and Complexity

  (0.746) LSU CSC 7300 Algorithm Design and Analysis

  (0.714) KSU CIS 775 Analysis of Algorithms

  (0.657) PDX CS 584 Algorithm Design & Analysis

  (0.623) ACM EC 0 Algorithms

  (0.620) PDX CS 410 Top: Algorithm Design & Analysis

  (0.573) RPI CSCI 4020 Computer Algorithms

  (0.564) ACM EC 0 Algorithm Design and Analysis

  (0.563) GMU CS 583 Analysis of Algorithms

  (0.479) GMU CS 683 Parallel Algorithms

  (0.458) RPI CSCI 2300 Introduction to Algorithms

  (0.458) GMU CS 630 Advanced Algorithms

  (0.420) Stanford CS 161 Design and Analysis of Algorithms

  (0.371) RPI CSCI 6210 Design and Analysis of Algorithms

  (0.357) GMU AIT 677 Intelligence Analysis Methods

  (0.287) Utah CS 4150 Algorithms

  (0.260) KSU CIS 362 Introduction to Business Programming

  (0.238) PDX CS 580 Randomized Algorithms and Probabilistic Analysis

  (0.224) AU CSC 689 Topics in Computer Science

  (0.221) ACM EC 0 Introduction to Parallel Programming

  (0.212) GMU AIT 665 Managing Information Technology Programs in the Federal Sector

  (0.204) PDX CS 480 Randomized Algorithms and Probabilistic Analysis

  (0.198) Utah CS 7120 Information-Based Complexity

  (0.194) Stanford CS 323 Automated Reasoning: Theory and Applications

  (0.161) PDX CS 410 Top: Introduction to Computational Biology

No prerequisites registered.