Brochure
Enquire- Introduction to Approximation Algorithms
Approximation Algorithms
BY
European Institute of Innovation and Technology
via Coursera
Join the Approximation Algorithms programme by Coursera to familiarise yourself with essential algorithmic techniques ...Read more
Intermediate
Online
3 Weeks
Free
Quick Facts
| particular | details | ||||
|---|---|---|---|---|---|
|
Medium of instructions
English
|
Mode of learning
Self study
|
Mode of Delivery
Video and Text Based
|
Learning efforts
4 Hours Per Week
|
Course overview
Traditional algorithmic tools are often inefficient for solving various real-world algorithmic problems. For example, many such problems are NP-hard; hence, these tools can’t solve them correctly. Thus, the Approximation Algorithms certification course will make you fluent with the critical algorithmic techniques and concepts that can deal with these challenges efficiently. You can employ such techniques instead of the optimal solution; you need an approximation close to this optimal solution.
Curated by EIT Digital, the Approximation Algorithms certification syllabus offers 100% online lessons and covers vital topics to make you an expert. These include PTAS, knapsack problems, vertex-cover problems, linear programming, load balancing, scheduling algorithms, and numerous other learnings. By covering these, you’ll become adept in finding the required approximations of a problem’s optimal solutions for solving it efficiently.
The Approximation Algorithms online course features a renowned instructor, Professor Dr Mark de Berg. It also provides self-directed deadlines to help you learn comfortably, along with English subtitles for the programme videos. Moreover, you can also purchase the training completion certificate to access the valuable accreditation and graded assessments.
The highlights
- Intermediate-level online training
- Flexible deadlines
- English subtitles for curriculum videos
- Practice quizzes
- Readings
- Graded assignments
- Shareable certificates (purchasable)
- EIT Digital’s offering
- Skilled instructor
- Free enrolment
- Requires approximately 14 hours for completion
Program offerings
- Online curriculum by eit digital
- English subtitles for learning videos
- Flexible deadlines
- Free admission
- Purchasable certification
- Shareable certificate
- Intermediate-level
- Completion in 14 hours
- Skilled educators.
Course and certificate fees
Type of course
Free
The fees structure for the course Approximation Algorithms is -
| Head | Amount in INR |
| Certificate fees | Rs. 2,435 |
certificate availability
Yes
certificate providing authority
Coursera
certificate fees
₹2,435
Eligibility criteria
To join the Approximation Algorithms certification course, you must have elementary experience with mathematics and algorithms. These are the concepts you should be familiar with - Ω-notation, Θ-notation, O-notation, analysing algorithms, basic calculus (solving recurrences, manipulating summations, operating logarithms, etc.), basic data structures (stacks, linked lists, heaps, queues), basic probability theory (probability distributions, events, expected values, random variables, etc.) and binary search trees (balanced).
To successfully understand the Approximation Algorithms programme, you must also know about basic sorting algorithms (e.g. InsertionSort, MergeSort, and QuickSort), and basic graph algorithms (DFS, BFS, shortest paths, topological sort), graph representations (adjacency matrix and adjacency lists), and graph terminology.
What you will learn
Knowledge of algorithms
Once you complete the Approximation Algorithms certification syllabus, you will have holistic knowledge in these areas: -
- Algorithmic concepts and techniques that efficiently deal with real-world algorithmic challenges
- Approximation algorithms
- Fundamentals of the load balancing problem
- Fundamentals of LP relaxation for designing approximation algorithms
- The various schemes for the polynomial-time approximation
The syllabus
Module 1: Introduction to Approximation algorithms
Video
Reading
- Course notes 1.1
Assignment
- Introduction
Module 2: The Load Balancing problem
Videos
- A greedy algorithm for load balancing
- Analysis of the greedy-algorithm
- The ordered scheduling algorithm
Reading
- Course notes 1.2
Assignment
- The load balancing problem
Programming Assignment
- Load balancing
Module 3: LP Relaxation
Videos
- The vertex-cover problem
- An approximation algorithm for vertex-cover
- A brief introduction to linear programming
- Weighted vertex-cover
- LP relaxation for weighted vertex-cover
- LP relaxation: Analyzing approximation ratio
Readings
- Course notes 3.1
- Course notes 3.2
Assignment
- LP Relaxation
Module 4: Polynomial-time approximation schemes
Videos
- Polynomial-time approximation schemes
- Knapsack Problem
- A dynamic-programming algorithm for knapsack
- A PTAS for knapsack
- Analysis of the PTAS for knapsack: approximation ratio
- Analysis of the PTAS for knapsack: running time
Readings
- Course notes 4.1
- Course notes 4.2
Assignment
- Polynomial-time approximation schemes
Programming Assignment
- PTAS for load balancing
Admission details
Step 1. To obtain admission in the Approximation Algorithms by Coursera, click on this link - https://www.coursera.org/learn/approximation-algorithms
Step 2. Use the ‘Login’ button on the course page to sign in if you’re a Coursera member. Use your registered mail ID and password or your Facebook/Google/Apple details to log in.
Step 3. If you’re new, select the ‘Enrol for Free’ option to register. An on-screen dropdown will appear. Fill in all the required credentials or enter your Facebook/Google account information to sign up.
Step 4. You’ll be enrolled on the programme for free. You can later pay for the certification, either during or after concluding the course, to access the graded assessments and certificate.
Filling the form
You can quickly register for Coursera’s Approximation Algorithms online course by merely creating your ID on the website. Enter your email address, password, and full name. Alternatively, you can use your social account id (Google, Apple, or Facebook) to sign up as well. There’s no compulsion for filling out an admission form.
Scholarship Details
Coursera offers scholarship for its Approximation Algorithms online course through financial aid. If you’re unable to pay the certification fees, you can avail of this aid by clicking on the ‘Financial aid’ link, situated beside the ‘Enrol for free’ tab on the curriculum portal. After this, an application will appear, which you must complete and submit. Coursera officials will connect with you about its approval within a stipulated duration.
How it helps
The Approximation Algorithms certification benefits include a free-to-audit curriculum, flexible deadlines that you can reset to learn conveniently, 100% online learning, English subtitles for all course lectures, and a trained educator. Moreover, you can purchase the curriculum certificate, which is shareable via LinkedIn/resume. It is also printable; hence, you can share it through other documents as a hard copy as well. This will significantly boost your employment chances as you seek recruitment in coveted enterprises.
Instructors
FAQs
Are German subtitles available?
No. This curriculum has English subtitles only.
Is this an advanced course?
No. The Approximation Algorithms training is an intermediate one.
How will I receive my certificate?
The certification will be available on your Accomplishments tab on Coursera upon programme completion if you purchase it.
Who is offering this programme?
EIT Digital provides the Approximation Algorithms online course via Coursera.
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