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Quick Facts

Medium Of Instructions	Mode Of Learning	Mode Of Delivery
English	Self Study	Video and Text Based

Course Overview

The Algorithm programme offered by Princeton University has two parts, Part I and Part II. The programme covers critical knowledge about ‘algorithms and data structures while emphasizing on scientific performance analysis and applications of Java implementations. Every serious programmer needs to know this.

Algorithms, Part I includes elementary algorithms for data structures, sorting, and searching while Part II focuses on algorithms for graph- and string-processing. After the completion of the first part, candidates can enrol for the second part in Coursera.

The Algorithms, Part I programme is a 100 per cent free programme. Enrolment, access to content everything is provided for free. And also there will be no certification after completion of the programme.

Candidates who are looking for a way to learn algorithms, Java programming, data structures should enrol for this programme. Irrespective of the field, candidates can enrol in the Algorithms, Part I programme if they use computers to solve problems which are large.

Candidates who are programmers should also enrol for the Algorithms, Part I programme. By completing the programme they will be getting so many advantages in their career. The ones who have already finished the programme are now in better conditions.

The Highlights

100 percent online
Flexible schedule
Free to enrol
Approximately 54 hours to complete
Intermediate level

Programme Offerings

online learning
Quiz
videos

Courses and Certificate Fees

Certificate Availability
no

The Algorithms, Part I programme is a free programme offered by Princeton University. Candidates can enrol for free and get access to all lectures, videos, assignments and quizzes entirely for free.

Eligibility Criteria

Certification Qualifying Details

The Algorithms, Part I programme comes with no certificate. According to the policy, Princeton University no certificates or credentials are given after completion. Candidates can learn this programme for free.

What you will learn

Mathematical skill

After the completion of the Algorithms, Part I programme candidates will be acquiring knowledge in these:

Union−Find, Stacks and Queues, Elementary Sorts, Mergesort, Priority Queues, Elementary Symbol Tables, Geometric Applications of BSTs, Hash Tables, Analysis of Algorithms, Balanced Search Trees, Quicksort, Symbol Table Applications
The Algorithm programme is divided into 2 sections. After the completion of the first part, candidates will be ready for learning the next part.
In this part I, candidates will be learning elementary algorithms for data structures, sorting, and searching. So that critical knowledge about algorithms and data structures will be acquired by every candidate.
Candidates will gain skills like algorithms, data structures and Java programming.

Who it is for

Data ScientistJava Programmer

The Algorithms, Part I programme is made for anyone who uses a computer to solve problems. For this purpose, there is a need for strong algorithms. So this programme is suitable for candidates in any field.

Application Details

Applicants of the Algorithms, Part I programme have to follow the steps explained below.

Step 1: Visit the course page

Step 2: Click on the “Enroll for Free” button

Step 3: A new page will open. If you already have an account in Coursera, please log in with credentials. Otherwise, sign up with your Google/Facebook/Apple account.

Step 4: You will be redirected to the home page again. Now an automated window will open, click on continue.

You will be allowed to access all the contents for free.

The Syllabus

Course Introduction

Welcome to Algorithms Part 1
Lecture Slides

Union-Find

Quick Find
Quick Union
Union-Find Applications
Quick-Union Improvements
Dynamic Connectivity

Analysis of Algorithms

Memory
Theory of Algorithms
Mathematical Models
Order-of-Growth Classifications
Introduction
Observations

Stacks and Queues

Queues
Iterators
Generics
Resizing Arrays
Stacks
Stacks and Queues Applications

Elementary Sorts

Shellsort
Shuffling
Convex Hull
Selection Sort
Sorting Introduction
Insertion Sort

Mergesort

Sorting Complexity
Stability
Comparators
Mergesort
Bottom-up Mergesort

Quicksort

4 videos (Total 50 min)
1 reading
1 quiz

Priority Queues

Selection
Duplicate Keys
System Sorts
Quicksort

Elementary Symbol Tables

Binary Search Trees
Deletion in BST
Ordered Operations in BST
Ordered Operations
Elementary implementations
Symbol Table API

Balanced Search Trees

Red-Black BSTs
B-Trees
2-3 Search Trees

Geometric Applications of BSTs

Kd Trees
Line Segment Intersection
Range Search
Rectangle Intersection
Interval Search Trees

Hash Tables

Linear Probing
Separate Chaining
Hash Tables
Hash Table Context

Symbol Table Applications

Symbol Table Applications: Indexing Clients (optional)
Symbol Table Applications: Dictionary Clients (optional)
Symbol Table Applications: Sets (optional)
Symbol Table Applications: Sparse Vectors (optional)

Evaluation process

There is no certification after the course completion. However, there will be a final exam included with the assessments.

Instructors

Princeton University, Princeton Frequently Asked Questions (FAQ's)

1: Is there any fee for the programme?

There is no fee for this programme. All of this programme's features are available for free.

2: Will I be certified after the course completion?

As per Princeton University’s policy, certificates are not granted with this programme.

3: When will I start the learning process?

First candidates have to enrol. After that, all lectures, videos, assignments, etc. will be available for them. Candidates can start learning according to their schedule afterwards.

4: Which are the kind of assessments linked with the programme?

Weekly programming tasks, weekly exercises, questions from weekly interviews, and a final test are the assessments in this programme.

5: What are the prerequisites for this programme?

The Algorithms, Part I programme is suitable for anyone using a computer to solve large problems. There is a need that candidates should have a computer science background.25% of the students who take this programme at Princeton, include individuals with a major in engineering, biology, physics, chemistry, economics, and many other areas, not just computer science.

6: Which are the algorithms and data structures taught in this programme?

The Algorithms, Part I programme focuses on structures of elementary data, sorting, and searching. Topics include binary search, union-find, queues, stacks, bags, sort of option, type of insertion, shell sort, Graham check, mergesort, heapsort, 3-way quicksort, binary heaps, binary search trees, red-black trees, quicksort, hash tables, and KD-trees for separate-chaining and linear-probing.

7: Is it possible that a person without Java programming knowledge can enrol for this programme?

The university’s central thesis is that by implementing and evaluating them, algorithms are better understood. Essentially, their use of Java is expository, and they shy away from exotic language functionality, so they expect candidates will be able to adapt the code to their preferred language. Even though they need candidates to submit the programming assignments in Java, however.