The learning experience combines video lectures, interactive exercises, practical assignments, and AI-guided discussions. You'll work on authentic problems that simulate real-world engineering and computational challenges, receiving immediate feedback to reinforce your understanding.

The Specialization covers complex numbers, matrices, calculus, differential equations, probability, statistics, linear algebra, vector spaces, eigenvalue problems, discrete structures, proof techniques, set theory, relations, graph theory, logic, and program verification.

This specialisation is designed to be accessible to both beginners and those looking to strengthen their existing mathematical skills. Basic familiarity with high school-level mathematics would be beneficial but is not strictly required. The courses are structured to gradually build complexity, making it suitable for learners at different stages of their quantitative journey.

The Specialization consists of five courses, each requiring approximately 4-6 weeks to complete at a pace of 5-7 hours per week. The entire Specialization can be completed in approximately 5-7 months, though timing may vary based on individual learning pace.

Yes, taking the courses in the specified order will enhance your learning experience:

Basic Engineering Mathematics: This introductory course lays the foundation by covering fundamental mathematical concepts essential for engineering.

Probability and Statistics: Builds on the basics to introduce you to probabilistic methods and statistical analysis.

Discrete Mathematics for Computer Science and Engineering: Focuses on mathematical structures that are fundamentally discrete rather than continuous.

Linear Algebra for Machine Learning & AI: Develops your understanding of linear systems and matrix operations, crucial for many engineering and AI applications.

Logic for Computer Science: Covers logical reasoning and approaches, which are pivotal in computer science and algorithm development.

Following this order ensures a structured progression from foundational concepts to more advanced topics.

This course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device.

If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.

Yes! To get started, click the course card that interests you and enroll. You can enroll and complete the course to earn a shareable certificate. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. Visit your learner dashboard to track your progress.

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

No, you cannot take this course for free. When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. If you cannot afford the fee, you can apply for financial aid.