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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 certificate programme on Algorithmic Toolbox by Coursera is an intermediate level course that will cover basic ideas for problems arising in the practical applications of computational problems, algorithmic techniques, greedy algorithms, Sorting and searching, Dynamic programming, and divide and conquer. The course offers a lot of theory and understanding of the burning questions in programming. It helps candidates develop an understanding of how to solve the most commonly arising problem and how they can break it into pieces and solve them recursively, Further how they can sort data and how it can help in searching, when it is ok to proceed greedily and how genomic studies use dynamic programming.

The candidates will be given enough practice in solving the computational problems, implement the solutions efficiently, design new algorithms, and ensure the easy and smooth running of the programs. This course forms a part of specialisation in Data structures and algorithm specialisation, for candidates willing to learn more about the topic and further continue to take the specialization too.

For candidates and professionals willing to learn about the new challenges in programming and better equip themselves for staying relevant in the industry this course on Algorithmic Toolbox will offer a much better understanding of the subject and help them take the next step in their career.

The Highlights

Certificate on completion
Shareable with your resume, LinkedIn profile, and portfolio.
Flexible and 100% online
Intermediate level learning
Subtitles in multiple languages (Spanish And English)
40 hours of course content

Programme Offerings

Graded Programming Assignments
graded Quizzes with feedback
video lectures
peer feedback
practice quizzes

Courses and Certificate Fees

Certificate Availability	Certificate Providing Authority
yes	Coursera

The Algorithmic Toolbox Fees details:

Particulars	Amount
Course Fee, 1 Month	Rs. 6,486
Course Fee, 3 Month	Rs. 12,973
Course Fee, 6 Month	Rs. 19,459

Eligibility Criteria

Certification Qualifying Details

The certificate programme on Algorithmic Toolbox offers a certificate of completion to all the candidates who complete the course and submit all the graded assignments and quizzes and pass them satisfactorily.

What you will learn

Programming skillsKnowledge of Algorithms

By learning the Algorithmic Toolbox Course, candidates can expect to have an understanding of the following:

Solving complex algorithmic problems by breaking it into pieces and solving them recursively.
The use of algorithms and dynamic programming and its use in Genomic studies.
Developers and Professionals can learn how to solve computational problems and design new solutions in order for easy and efficient running.
Practical knowledge and experience along with and takeaways from all the various graded quizzes and programming assignments provided in the course of the programme duration.

Who it is for

Computer ProgrammerSoftware Engineer

The detailed Algorithmic Toolbox Course by Coursera is crafted for the following candidates:

Professionals and developers working with dynamic programming for various industry applications.
Developers working with software testing and debugging of programs. This course will help them understand the dynamics of computational programming and arising problems.
Programmers who want to learn how to break a complex problem into pieces and solve it recursively.

Admission Details

The Certificate programme on Algorithmic Toolbox On Coursera can be enrolled for in a few simple steps. Candidates can register for this course in a matter of minutes.

Step 1: Visit the programme detail page on the Coursera website and click on ‘Enroll.’

Step 2: For those who already have an existing account on Coursera can simply log in, for others they can create a new account with their mail id, Facebook account, or Google account in order to log in to Coursera.

Step 3: In the next step, candidates can either buy the course by enrolling and then paying the fees for the course. Or they can opt for the auditing of the course for free. Candidates however should take note that the auditing option does not provide a certificate, they can just learn and access the video content on the course page.

Step 4: Optionally, candidates can also choose to take a free 7-day trial for the Coursera plus plan, which is their paid version for an experience of the course.

Step 5: Those candidates who are buying the course will have to enter the details for payment and pay the course fee by any of the chosen payment modes available.

Step 6: After paying the course fee or enrolling for the free audit course, candidates can have the access to all the course videos and relevant materials for reading.

Step 7: Candidates can then access/ download the videos and course material at their own pace, or reset deadlines in case they lose the momentum in between.

Step 8: This course is a part of a specialisation called Data Structures and Algorithms Specialisation and candidates can also choose to take up the entire specialisation after completing The Algorithmic Toolbox course.

The Syllabus

Videos

Welcome!
Solving the Sum of Two Digits Programming Challenge (screen cast)
Solving the Maximum Pairwise Product Programming Challenge: Improving the Naive Solution, Testing, Debugging
Stress Test - Implementation
Stress Test - Find the Test and Debug
Stress Test - More Testing, Submit and Pass!

Readings

Ace Your Next Coding Interview
What background knowledge is necessary?
Optional Videos and Screencasts
Alternative testing guide in Python
Maximum Pairwise Product Programming Challenge
Congratulations!
Using PyCharm to solve programming challenges
Acknowledgements

Practice Exercise

Solving Programming Challenges

Videos

Asymptotic Notation
Why study Algorithms?
Big-O Notation
Coming Up
Naive Algorithm
Problem Overview
Efficient Algorithm
Efficient Algorithm
Problem Overview and Naive Algorithm
Computing Runtimes
Using Big-O
Course Overview

Readings

Resources
Resources
Resources
Interview Questions

Practice Exercise

Logarithms
Big-O
Growth rate

Readings

Examples
Local vs Global Optimum
Proving Correctness of Greedy Algorithms
Implementation
Money Change
Solution: Use the Largest Denomination First
Proving Correcting
Maximizing the Value of the Loot Problem
Solution: Take as Much of the Most Expensive Compound as You Can

Practice Exercise

Largest Concatenate
Money Change
Puzzle: Car Fueling
Puzzle: Balls in boxes
Puzzle: Activity Selection
Puzzle: Touch All Segments

Videos

Largest Number
Queue of Patients
Implementation and Analysis
Main Ingredients of Greedy Algorithms
Celebration Party Problem
Greedy Algorithm
Implementation and Analysis
Maximizing Loot
Implementation and Analysis
Review

Videos

Intro
Linear Search
Binary Search
Binary Search Runtime
Problem Overview and Naïve Solution
Naïve Divide and Conquer Algorithm
Faster Divide and Conquer Algorithm
What is the Master Theorem?
Proof of the Master Theorem
Problem Overview
Selection Sort
Merge Sort
Lower Bound for Comparison-Based Sorting
Non-Comparison Based Sorting Algorithms
Overview
Algorithm
Random Pivot
Running Time Analysis (optional)
Equal Elements
Final Remarks

Readings

Resources
Resources
Resources
Resources
Resources

Practice Exercise

Linear Search and Binary Search
Puzzle: 21 questions game
Puzzle: Two Adjacent Cells of Opposite Colors
Polynomial Multiplication
Master Theorem
Sorting
Quick Sort
Puzzle: Local Maximum

Videos

Change Problem
The Alignment Game
Computing Edit Distance
Reconstructing an Optimal Alignment

Readings

Resources
Resources
Additional Slides

Practice Exercises

Change Money
Puzzle: Number of Paths
Puzzle: Two Rocks Game
Puzzle: Three Rocks Game
Edit Distance
Puzzle: Primitive Calculator

Videos

Problem Overview
Knapsack with Repetitions
Knapsack without Repetitions
Final Remarks
Problem Overview
Subproblems
Algorithm
Reconstructing a Solution

Readings

Polynomial vs Pseudopolynomial
Resources

Practice Exercises

Knapsack
Maximum Value of an Arithmetic Expression

Instructors

UC San Diego Frequently Asked Questions (FAQ's)

1: What advantages do learning from Coursera offer?

Coursera offers trending topics with an expert-curated curriculum for courses that are well researched and created for solving current market challenges. The instructors of each course are specialists in subjects. Coursera courses are flexible and self-paced.

2: If a candidate has doubts about the course, what should they do?

Coursera offers a dedicated student forum where candidates attending the same course can discuss subject matter doubts or queries. Ask doubts 24x7 for quick peer-reviewed answers. Coursera offers email support too.

3: Does the course require in-campus attendance?

The Programme Algorithmic Toolbox by Coursera is a completely online programme. The course does not need any campus visits and students can attend it from the comfort of their homes.

4: What is the duration of the Algorithmic Toolbox course?

The course is self-paced and duration depends on the pace of each candidate. On average, the course takes 37 hours to complete. Including reading and video content.

5: When can candidates access course content?

Candidates get access to the course content after paying the course fee. Graded assignments are not unavailable for the ‘free audit’ option. Restricted content is available to plus candidates or those who have purchased the course.

6: Can I take up the entire specialisation?

Yes. After completing this course candidates can take up the entire specialisation course on Data Structures and Algorithms. Just enrol for the specialisation containing 6 courses here: https://www.coursera.org/specializations/data-structures-algorithms