Competitive Programmer's Core Skills

  • 4.6
Approx. 32 hours to complete

Course Summary

This course focuses on core skills for competitive programming, including algorithms and data structures, dynamic programming, graph algorithms, and string algorithms.

Key Learning Points

  • Learn how to approach and solve competitive programming problems
  • Develop skills in algorithmic thinking and problem-solving
  • Master techniques for dynamic programming, graph algorithms, and string algorithms

Job Positions & Salaries of people who have taken this course might have

    • USA: $85,000
    • India: ₹6,50,000
    • Spain: €35,000
    • USA: $85,000
    • India: ₹6,50,000
    • Spain: €35,000

    • USA: $110,000
    • India: ₹8,50,000
    • Spain: €45,000
    • USA: $85,000
    • India: ₹6,50,000
    • Spain: €35,000

    • USA: $110,000
    • India: ₹8,50,000
    • Spain: €45,000

    • USA: $120,000
    • India: ₹10,00,000
    • Spain: €55,000

Related Topics for further study


Learning Outcomes

  • Develop proficiency in competitive programming
  • Master key algorithms and data structures
  • Improve problem-solving skills

Prerequisites or good to have knowledge before taking this course

  • Basic programming knowledge
  • Familiarity with data structures

Course Difficulty Level

Intermediate

Course Format

  • Online, self-paced
  • Interactive quizzes and assignments

Similar Courses

  • Algorithms and Data Structures
  • Data Structures and Algorithms Specialization

Related Education Paths


Notable People in This Field

  • Competitive programming expert

Related Books

Description

During the course, you’ll learn everything needed to participate in real competitions — that’s the main goal. Along the way you’ll also gain useful skills for which competitive programmers are so highly valued by employers: ability to write efficient, reliable, and compact code, manage your time well when it’s limited, apply basic algorithmic ideas to real problems, etc.

Outline

  • Programming Competitions
  • Introduction and Course Structure
  • Specifics of Programming Competitions
  • Problem Example
  • Steps in Solving a Problem
  • Soft Skills
  • Competitions Review
  • Testing, Sample Tests, Min/Max Tests
  • Custom Cases and Testing Workflow
  • Stress-testing
  • Welcome!
  • Solution to Problem 1-4: Straight Flush
  • Inventing Tests
  • CORRECTNESS FIRST
  • Managing Dependencies
  • What is Readability?
  • Intuitive "Proofs" are wrong
  • Defining solution set
  • Recursive backtracking
  • Worst cases
  • Big-O notation
  • From theory to practice
  • How to make a solution faster
  • Solution to Problem 2-4: Expression Evaluation
  • Time complexity
  • COMMON STRUGGLES
  • Integer Types and Overflow
  • Dealing with Overflow
  • Non-integers
  • Fixed Point Numbers and Errors
  • Floating Point Numbers
  • Where and How to Use Doubles
  • More on Floating Point
  • Debugging Small Programs
  • Simplifying Code
  • Double-checking
  • Upsolving
  • Solution to Problem 3-4: Binary Knapsack
  • Numbers
  • Upsolving
  • COMMON STRUGGLES 2
  • Warmup
  • Proving Correctness
  • Activity Selection
  • Maximum Scalar Product
  • Greedy Ordering
  • Segment Tree Structure
  • Summing a Segment
  • Modifying an Element
  • Basic Data Structures
  • Advanced Data Structures and I/O
  • C++
  • Java
  • Python
  • Comparing Languages
  • Solution to Problem 4-4: Maximal Sum Suba
  • Segment Tree
  • Dynamic Programming
  • Warm-up
  • Subproblems and recurrence relation
  • Reconstructing a Solution
  • Subproblems Revisited
  • Algorithm
  • Reconstructing a Solution
  • Final Remarks
  • Code: Computing Fibonacci Numbers
  • Code: Dynamic Programming Solution
  • Code: Reconstructing a Solution
  • Code: Optimized Brute Force Solution
  • Code: Editing Distance
  • Solution to Problem 5-4: Make It Sorted
  • Longest Increasing Subsequence
  • Between Polynomial and Exponential
  • Dynamic Programming 2
  • Knapsack with Repetitions
  • Knapsack without Repetitions
  • Final Remarks
  • Chain Matrix Multiplication
  • Summary
  • Code: Knapsack with Repetitions
  • Code: Knapsack without Repetitions
  • Code: Chain Matrix Multiplication
  • Solution to Problem 6-4: Maximal Sum Square
  • Maximum Value of an Arithmetic Expression

Summary of User Reviews

Discover the essential skills to excel in competitive programming with this comprehensive Coursera course. Students praise the course for its challenging yet rewarding content, providing a solid foundation for those looking to improve their programming abilities. One key aspect that many users appreciate is the hands-on approach of the course, allowing them to apply what they've learned in real-world scenarios.

Pros from User Reviews

  • Hands-on approach to learning
  • Challenging and rewarding content
  • Comprehensive coverage of essential skills
  • Great for improving programming abilities
  • Expert instructors with industry experience

Cons from User Reviews

  • Course may be too difficult for beginners
  • Some users have reported technical issues with the platform
  • Limited interaction with instructors
  • No certificate of completion for free version
  • Some users feel that the course could be more engaging
English
Available now
Approx. 32 hours to complete
Alexander S. Kulikov, Alexander Logunov , Kirill Simonov, Aliaksei Tolstsikau
Saint Petersburg State University
Coursera

Instructor

Alexander S. Kulikov

  • 4.6 Raiting
Share
Saved Course list
Cancel
Get Course Update
Computer Courses