NUMERICAL ANALYSIS AND STATISTICAL TECHNIQUES
Numerical Analysis and Statistical Techniques is a subject in the third semester of mechanical and civil engineering. The subject is included with an objective to provide a sound foundation in the fundamentals of numerical and statistical methods necessary to formulate, solve and analyse engineering problems.
Numerical analysis is the science of creating, analyzing, and implementing algorithms for obtaining numerical solutions to problems involving continuous variables. Numerical Analysis and Statistical Techniques are generally used in mechanical simulations in vibrations, thermodynamics, heat flow calculations, kinematics and design. The nodal values of displacement, strains and stresses are found out using numerical analysis in structural analysis. In civil engineering, Numerical Analysis and Statistical Techniques are used to replicate the behavior of materials like concrete, water, soils, asphalt, etc. and the interaction of different structures with the surroundings and their response to various forces acting on them.
The syllabus includes the topics-
1) Maxima and Minima
2) Numerical Integration
Numerical Analysis and Statistical Techniques teaches students to find the Maxima and Minima of functions of two variables using different methods like Lagrange’s Method of Undetermined Multipliers, apply Simpson’s 1/3rd rule and Simpson’s 3/8th rule for the numerical approximation of definite integrals, etc. The subject teaches students to apply basic principles of Laplace Transform, Fourier series and Complex variables to the engineering problems. The concepts included in Numerical Analysis and Statistical Techniques are used while solving various problems in different subjects of later years. This makes Numerical Analysis and Statistical Techniques an important subject throughout the four engineering years and the foundation for solving day-to-day engineering problems.
v Study Material:
Students often refer to reference books in order to prepare for this subject. But completely understanding numerical and statistical concepts by just directly referring to a book is easier said than done. That is where online tutorials and video lectures come into the picture as it is comparatively easy for students to understand and study a subject in video format. You can watch and re-watch a video till you completely understand a topic! Ekeeda is the most trusted educational platform by students across the country when it comes to online engineering courses and tutorials for subjects of different engineering branches. The video course for Numerical Analysis and Statistical Techniques is designed to ensure that students understand the concepts and methods in order to confidently write their semester exams solve and problems on their own.
v Course Details:
Ekeeda offers Numerical Analysis and Statistical Techniques course for second-year students at just Rs. 1500/- with the entire syllabus of Numerical Analysis and Statistical Techniques. The course is especially designed to help students confront their fear of mathematical subjects.
The course contains:
ü Over 15+ lectures
ü 3 hours of video
Each chapter is divided into smaller sub-topics with solved sums and each video ranges from 3 mins to 25 mins in length so that it is convenient for students to understand them in a better manner. The videos are highly engaging and offer the best learning experience to students.
The online course and video lectures for Numerical Analysis and Statistical Techniques are easily available on Ekeeda.com for all students. We also have our free engineering mobile app with access to study material from the best professors. Ekeeda offers special combo packages for students on study material and courses for subjects of an entire semester. This is done with the objective to provide the students with a chance to improve their technical aptitude and prepare them for their engineering exams. We believe in making dedicated efforts to enhance the online engineering courses in India by means of our online videos and tutorials.