About this course: The primary topics in this part of the specialization are: data structures (heaps, balanced search trees, hash tables, bloom filters), graph primitives (applications of breadth-first and depth-first search, connectivity, shortest paths), and their applications (ranging from deduplication to social network analysis).
Who is this class for: Learners with at least a little bit of programming experience who want to learn the essentials of algorithms. In a University computer science curriculum, this course is typically taken in the third year.
Created by: Stanford University
Taught by: Tim Roughgarden, Professor
Computer Science
| Basic Info | Course 2 of 4 in the Algorithms Specialization |
| Level | Intermediate |
| Commitment | 4 weeks of study, 4-8 hours/week |
| Language | English |
| How To Pass | Pass all graded assignments to complete the course. |
| User Ratings |
Syllabus
WEEK 1
Week 1
Breadth-first and depth-first search; computing strong components; applications.
9 videos, 4 readings
- Reading: Week 1 Overview
- Reading: Overview, Resources, and Policies
- Reading: Lecture slides
- Video: Graph Search - Overview
- Video: Breadth-First Search (BFS): The Basics
- Video: BFS and Shortest Paths
- Video: BFS and Undirected Connectivity
- Video: Depth-First Search (DFS): The Basics
- Video: Topological Sort
- Video: Computing Strong Components: The Algorithm
- Video: Computing Strong Components: The Analysis
- Video: Structure of the Web [Optional]
- Reading: Optional Theory Problems (Week 1)
Graded: Problem Set #1
Graded: Programming Assignment #1
WEEK 2
Week 2
Dijkstra's shortest-path algorithm.
4 videos, 2 readings
- Reading: Week 2 Overview
- Video: Dijkstra's Shortest-Path Algorithm
- Video: Dijkstra's Algorithm: Examples
- Video: Correctness of Dijkstra's Algorithm
- Video: Dijkstra's Algorithm: Implementation and Running Time
- Reading: Optional Theory Problems (Week 2)
Graded: Problem Set #2
Graded: Programming Assignment #2
WEEK 3
Week 3
Heaps; balanced binary search trees.
9 videos, 1 reading
- Reading: Week 3 Overview
- Video: Data Structures: Overview
- Video: Heaps: Operations and Applications
- Video: Heaps: Implementation Details [Advanced - Optional]
- Video: Balanced Search Trees: Operations and Applications
- Video: Binary Search Tree Basics, Part I
- Video: Binary Search Tree Basics, Part II
- Video: Red-Black Trees
- Video: Rotations [Advanced - Optional]
- Video: Insertion in a Red-Black Tree [Advanced]
Graded: Problem Set #3
Graded: Programming Assignment #3
WEEK 4
Week 4
Hashing; bloom filters.
9 videos, 3 readings
- Reading: Week 4 Overview
- Video: Hash Tables: Operations and Applications
- Video: Hash Tables: Implementation Details, Part I
- Video: Hash Tables: Implementation Details, Part II
- Video: Pathological Data Sets and Universal Hashing Motivation
- Video: Universal Hashing: Definition and Example [Advanced - Optional]
- Video: Universal Hashing: Analysis of Chaining [Advanced - Optional]
- Video: Hash Table Performance with Open Addressing [Advanced - Optional]
- Video: Bloom Filters: The Basics
- Video: Bloom Filters: Heuristic Analysis
- Reading: Optional Theory Problems (Week 4)
- Reading: Info and FAQ for final exam
Graded: Problem Set #4
Graded: Programming Assignment #4
Graded: Final Exam
FAQs
How It Works
Coursework
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Creators
Stanford University
The Leland Stanford Junior University, commonly referred to as Stanford University or Stanford, is an American private research university located in Stanford, California on an 8,180-acre (3,310 ha) campus near Palo Alto, California, United States.
Pricing
| Audit | Purchase Course | |
|---|---|---|
| Access to course materials | Available | Available |
| Access to graded materials | Not available | Available |
| Receive a final grade | Not available | Available |
| Earn a shareable Course Certificate | Not available | Available |
Ratings and Reviews
wonderful
Good course! Well structured and informative lectures. The assignments can be challenging which I think is good!
Very useful course! Get deep understanding of some algorithms through the video and programming assignment. Also learn lots of idiom from Tim.
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YW
Very good course!!!!