The main objective of this Blog is to give basic knowledge and fundamentals about traditional and advanced Mechanical Engineering concepts. The courses are conducted through this website are Material Science, Manufacturing Technology, Mathematics in Manufacturing, Optimization techniques, Artificial Intelligence, Data Science and Machine learning concepts for Mechanical Engineering, Industrial collaborative works, Research Work - Experiment plan with science and engineering concepts
Showing posts with label Dr. B. Suresh Kumar. Show all posts
Showing posts with label Dr. B. Suresh Kumar. Show all posts
Course objective: Introduction to mathematical modeling and applied mathematics, more generally. The main objective will be to learn how to take phenomena arising in physics and statistical methods, Introduction to the Science of Mathematical Modeling;
1. Mathematical Modeling Procedure in Engineering
2. Dimensional Analysis - Rayleigh's Method
3. Dimensional Analysis - Buckingham pi theorem
Probability and statistics for Engineers
Course objective: Understand the different statistical methods to solve problems in the engineering field containing data analysis.
1. Data Science in Manufacturing Industries
2. Design of Experiment concept with factorial design for conducting project work
3. How do we calculate the experimental data with ANOVA Table
4. Data Normalization for reducing data variation errors
5. Linear Regression Model
6. Multiple Linear Regression Model
7. Experimental data analysis with Design of Experiment concept through Design Expert
Intelligent Optimization Techniques
Course objective: The course aims at building capabilities in the students for analyzing different situations in the industrial/ business scenario involving limited resources and finding the optimal solution within constraints by using advanced optimization tools
Provide knowledge of optimization techniques and approaches.
Formulate a real-world problem as a mathematical programming model.
Enable the students to apply mathematical, computational, and communication skills needed
for the practical utility of Operations Research.
Knowledge to solve networking problems.
Knowledge to solve various inventory problems.
Gain knowledge on solving different waiting line models.
Course: This course is designed to provide knowledge and training in using optimization techniques under limited resources for engineering and business problems. The course will consist of 5 units each consisting of 5 videos. Each lecture consists of specific concepts relevant to engineering problems in all domains. An attempt to made to cover the topic by use of PowerPoint presentations with case studies. The online class activities with quizzes and hands-on assignments for increasing the student's curiosity and desire to know more about the subject and various operation research concepts. Upon completion of this course, The students can able to use the optimization techniques for using engineering and Business problems Course Content: Week 1: Linear Programming Week 2: Transportation and Assignment Model Week 3: Network Analysis Week 4: Sequencing Problem and Assignment Model Week 5: Queuing Theory
Assessment: Students have to register and write the CIA Exam conducted by me at any of the exam halls of KRCT.
LINEAR PROGRAMMING
1. Linear Programming Problem
2. Graphical method
3. Maximization with Simplex method
4. Minimization with Simplex method
5. The Two-phase method in artificial variable technique -
6. Big M method
TRANSPORTATION AND ASSIGNMENT MODEL
7. Transportation model with Northwest Corner Method
8. Transportation model with Least Cost Method -
9. Transportation model with Vogals Approximation Method
10. Unbalanced Transportation Model -
11. Assignment model
12. Hungarian Algorithm in Assignment Model -
13. Optimality Test in Transportation Model
14. Degeneracy in Transportation model -
NETWORK ANALYSIS
15. Basics of Network Analysis
16. PERT and CPM in Project Management -
17. Early start and Early finish & Late start and Late finish schedule
Course objective: The course aims at building capabilities in the students for analyzing different situations in the industrial/ business scenario involving limited resources and finding the optimal solution within constraints by using advanced optimization tools
