Welcome to Forethought India One-on-One Courses. Our program is designed to provide students with the skills and knowledge necessary to excel in their chosen profession. Our instructor for this course is Research Scientist Nitish Kumar Gupta at IISc Bangalore
The course "Differential Equations: Modern Methods for Complex Systems" delves into the intricate world of differential equations and their contemporary applications in analyzing complex systems. Spanning across a series of lectures, this course introduces students to the fundamental concepts of differential equations, starting from first-order equations, progressing to higher orders, and exploring systems of equations. It covers both homogeneous and non-homogeneous equations, alongside comprehensive discussions on Laplace and Fourier transforms. Moving into more advanced terrain, the course ventures into partial differential equations (PDEs), elucidating their classifications, solutions, and diverse applications in physics, biology, economics, and environmental studies. Moreover, it navigates through methods such as finite differences and finite elements for solving PDEs, discussing stability, chaos, and dynamical systems analysis. The course culminates by exploring cutting-edge applications, future trends, and advanced topics in the realm of differential equations, equipping students with a profound understanding of modern methodologies applicable to intricate and dynamic systems.
At the end of the program, students will receive a certificate & performance letter by the eductor indicating that they have completed the program and acquired the necessary skills and knowledge to excel in their chosen profession.
Differential Equations: Modern Methods for Complex Systems, by Nitish Gupta
Nitish Gupta is an accomplished educator and seasoned professional in the field of Computer Science. With a Master of Technology (MTech) in Computer Science from the prestigious Indian Institute of Science (IISc), where he specialized in areas such as Machine Learning, Deep Learning, Natural Language Processing, and more, Nitish possesses a strong foundation in both theoretical knowledge and practical applications.
Prior to his current role, Nitish completed his Bachelor of Technology in Computer Science from Chandigarh College of Engineering & Technology, Panjab University. During his academic journey, he demonstrated consistent academic excellence, evident from his remarkable academic performances and active engagement in various extracurricular activities.
Having a passion for knowledge sharing and education, Nitish transitioned into the role of an educator after gaining valuable industry experience as an Applied Scientist at Amazon. In his current role, working with the Alexa ASR team, Nitish leverages his expertise in Python, Speech Recognition, TensorFlow, Machine Learning, and Deep Learning to enhance user experiences with Alexa.