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Vision, and Mission of DJSCE and Mechanical Engineering Department
Data Analytics (DJS22MEC5015 ) and Data Analytics Laboratory (DJS22MEL5015)
ISTE approved Oneeek STTP on “From Draft to Publication: Essential Steps in Research Article Writing.”Â
From January 06 to 10, 2025: STTP Schedule
Session 01: Fundamentals of Writing Research Articles: A Journey from Philosophical Approach to Practical Implementation
Session 02: Research Article Publications: Why, What, Where, and How?
Session 03: Journal Indexing and Quality Metrics
Session 04: Selection of Journal/ Conference/ Edited Book
Session 05: Literature review: An art
Session 06: Writing Review Paper: A Case Study
Session 07: Types of Articles
Session 08: How to Write a Manuscript/Paper?: A Mechanical Approach
Session 09: Ethical and Legal Considerations: Plagiarism, Copyright Permissions, and Referencing Tools
Session 10: Manuscript Submission and Evaluation Process: Key Insights
Session 11: Innovative Tools for Manuscript Writing
Session 12: How to Link Various Research Profiles?
Sample forms:
Electric Drives and Controls (EDC)
Unit 00: Course Introduction
Unit 01: Basics of Power Conversion: PPT + Study Material
Unit 02: Elements of Drives: PPT + Study Material
Unit 03: EV Motor Drive Topologies - I
Unit 04: EV Motor Drive Topologies - IIÂ
Unit 05: EV Motor Drive Topologies III
Unit 06: Selection/ Sizing of EV Motors: Study Material
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Experiment 01: Study of Device Characteristics, linear and switching operations: SCR, Triac, BJT, Mosfet and IGBT
Experiment 02: I/O Toggling to demonstrate on/off operation using ArduinoÂ
Experiment 03: Study of the Embedded System for timer and PWM generations
Experiment 04: MOSFET based step up and step down converter for low voltage EV loops
Experiment 05: Current/ Voltage Loop Control of DC MotorÂ
Experiment 06: Drive Schemes and Role of Control Signals in Induction MotorÂ
Experiment 07: Control of Induction Motor
Experiment 08: Drive Schemes and Role of Control Signals for BLDC MotorÂ
Experiment 09: Control of BLDC Motor
Business Analytics
Unit 00: Course Introduction
Unit 01: Introduction to Business Analytics - PPT + Study Material
Unit 02: Data Management and Descriptive Analytics - PPT + Study Material
Unit 03: Predictive Analytics and Statistical Modeling - PPT
Unit 04: Advanced Machine Learning and Prescriptive Analytics - Study Material
Unit 05: Applications of Business Analytics & Industry Trends - Study Material
Numerical and Statistical Techniques (NST)
NSM: Syllabus
Experiment 00: Introduction to MATLAB
Experiment 00: Flowchart and Algorithms
Experiment 01: Program on Correlation. / Program on Linear Regression
Experiment 02: Program on PDE: Crank-Nicolson Method
Experiment 03: Program on Binomial distribution
Experiment 04: Program on Poisson distribution
Experiment 05: Program on Continuous Probability Distributions - Normal distribution
Experiment 06: Program on Hypothesis Testing: Z-test
Experiment 07: Program on Hypothesis Testing: t-test
Experiment 08: Program on Hypothesis Testing I: Chi-Square test.
Data Analytics (DJS22MEC5015 ) and Data Analytics Laboratory (DJS22MEL5015)
Unit 02: Descriptive Statistics - PPT
Unit 05: Data Visualization using Python/R/Tableau / Power BI - Notes + PPT
Unit 06: Applications - Notes
Experiment 01: To study data science, data analytics, and AI-ML-DLÂ
Experiment 02: To Perform Descriptive Statistical Analysis Using Paperclip Failure Data
Experiment 03: To Select the Best-fit Probability Distribution for a given data set
Experiment 04: Data Visualization
Experiment 05: Hypothesis Testing
Mini-project: Assessment Rubric
Fundamentals of Electric Vehicles (FEV) (DJS22MEHN1C1)
FEV: Course Introduction
Unit 01: Introduction to Electric Vehicles: StudyMaterial + PPT
Unit 05: Power Unit: Batteries Technologies - Notes
Unit 06: Selection/ Sizing of Electric Motor - Notes
Design for Reliability
Lecture 01: Course Overview
Unit 01: Introduction and Basic Reliability Mathematics
Unit 02: Probability Distributions and Their Applications in Product Design
Unit 03: System Reliability and Warranty Analysis
Unit 04: Probabilistic Design for Reliability and Factor of Safety
Unit 05: Reliability Allocation
Unit 06: Reliability Testing
ETE: Practice Problems
Data Analytics for Mechanical Engineering
Lecture 01: Course Overview
Unit 01: Introduction
Unit 02: Descriptive Statistics
Unit 03: Data Visualization
Unit 04: Data Analytics Approaches
ETE: Practice Problems
Numerical Methods and Optimization
Internal Evaluation 2: Groups and Guidelines
Lecture 01: Course Overview
Lecture 02: Roots of Equation: An Overview
Lecture 03: Bisection Method
Lecture 04: Newton Raphson Method
Lecture 05: Gauss Elimination Method with Partial Pivoting
Lecture 06: Gauss-Seidel Method
Lecture 07: Thomas Algorithm for Tridiagonal Matrix
Lecture 08: Trapezoidal rule, Simpson's 1/3rd and 3/8th Rule
Lecture 09 to 14: Curve Fitting and Regression Analysis
Lecture 15 to 22: Solution of Differential Equations
Numerical Methods and Optimization: Lab
Assignment 00: Matlab Overview
Assignment 01: Flowchart and Algorithm Development - Examples
Assignment 02: Program on Roots of Equation
Assignment 03: Program on Simultaneous Equations
Assignment 04: Program on Numerical Integrations
Assignment 05: Program on Curve Fitting
Assignment 06: Program on Interpolation
Assignment 07: Program on Ordinary Differential Equations
LOCTITE Adhesive Technologies
Lecture 01: Course Overview
Unit 01: Basics of Adhesives
Unit 02: Threaded Assemblies
Unit 03: Gasketing and Bonding
Unit 04: Dispensing Equipment
Unit 05: Troubleshooting
ETE: Practice Problems
Quality and Reliability Engineering
Unit 2: Statistical Quality Control
Data Analytics: Lab
Experiment 0: Introduction to the course "Data Analytics Laboratory"
Experiment 1: "Reliability analysis of Deep Groove Ball Bearing"
Experiment 2: "Analysis of Data on Power Generated by Solar Photovoltaic System"
Experiment 3: "To determine mechanical properties from stress-strain data"
Experiment 4: "Analysis of Automobile Dataset"
Experiment 5: "3D Printer Data Analysis"
Experiment 6: "Predictive Maintenance"
Note - The study material attached herewith are shared only for study/ educational purpose. I do not use this material for any kind of monetary benefit.
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