Medium Of Instructions | Mode Of Learning | Mode Of Delivery |
---|---|---|
English | Self Study | Video and Text Based |
Optimization technology is used in many industries to make problem-solving easier. The Discrete Optimization course by Coursera focuses on solving complex problems using optimization algorithms and concepts, including local search, constraint programming, and mixed-integer programming. The course gives an introduction to the fundamental concepts of discrete optimization and its uses in the real world.
The Coursera Discrete Optimization course explores concepts like mixed-integer programming, constraint programming and local search, starting from their foundations to their uses and application for solving practical problems, which includes scheduling, resource allocation, vehicle routing and supply-chain optimization.
Furthermore, the Coursera Discrete Optimization course is an online, self-paced learning course offered by the University of Melbourne to help students understand the process of solving complex problems through discrete optimization. Coursera also offers a shareable electronic certificate at the end of the course, which can be printed and used along with the student’s resume, and also shared on professional platforms such as LinkedIn.
Fees Informations | Certificate Availability | Certificate Providing Authority |
---|---|---|
INR 2435 | yes | Coursera |
Students can join the course for free but will have to pay for the full specialization, resources, and the course completion certificate at the end.
Discrete Optimization Fees Structure
Course Name | Fees in INR (Per Month) |
Discrete Optimization | Rs. 2,435 |
As the Coursera Discrete Optimization course is an intermediate level course, students must have good programming skills along with knowledge of linear algebra and some algorithms. Knowledge of computer languages such as Python is also important.
After completing the Coursera Discrete Optimization online course, you will learn about:
To apply to the Discrete Optimization online course by Coursera, you should follow these steps:
To join the Coursera Discrete Optimization course, use your email id and password to sign up on the website using your Email ID and password and then you will be eligible for joining the course.
Students must have good programming knowledge and experience as well as a basic knowledge of the computer language Python for this course. This is an intermediate level course so students must have this knowledge in order to grasp the concepts well.
In audit mode, students can only read and view the course material. If you wish to get a certificate along with other resources like graded assignments and access to whole course content, then you must get the specialized version or certificate experience.
Students are regularly given assignments that test their knowledge of everything they learn in the course and allows them to use their skills to solve practical problems. These assignments are an important part of the course and challenge the students on an intellectual level.
To get the shareable E-certificate, students must finish the complete course and then the electronic certificate will be added to your accomplishments page. First applicants have to download and later it can be printed and attached with Resume/CV or shared virtually on online platforms such as your LinkedIn account.
The Coursera Discrete Optimization course is 100% online for the convenience of the students and lecturers are pre-recorded by the trainers in the form of videos. Quizzes and assignments are given to students to provide hands-on experience, and extra readings are given to enhance knowledge.
Yes, Coursera provides financial aid for this course which can be availed by students who cannot afford the fee. You just have to click on the financial aid option and complete an application to be eligible.