Join the Approximation Algorithms programme by Coursera to familiarise yourself with essential algorithmic techniques and concepts.
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 fees structure for the course Approximation Algorithms is -
Yes
Coursera
₹2,435
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.
Once you complete the Approximation Algorithms certification syllabus, you will have holistic knowledge in these areas: -
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.
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.
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.
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.
Dr Mark de Berg Professor EIT Digital
Other Bachelors, PGD in Engineering, Ph.D
No. This curriculum has English subtitles only.
No. The Approximation Algorithms training is an intermediate one.
The certification will be available on your Accomplishments tab on Coursera upon programme completion if you purchase it.
EIT Digital provides the Approximation Algorithms online course via Coursera.
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