About this Course
Cyber-physical systems (CPS for short) combine digital and analog devices, interfaces, networks, computer systems, and the like, with the natural and man-made physical world. The inherent interconnected and heterogeneous combination of behaviours in these systems makes their analysis and design an exciting and challenging task. CPS: Modelling and Simulation provides you with an introduction to modelling and simulation of cyber-physical systems. The main focus is on models of physical process, finite state machines, computation, converters between physical and cyber variables, and digital networks. .

Syllabus:
Week 1: Basic Modelling Concepts: Discrete-time and Continuous-Time Systems
Week 2: Modelling Cyber Components: Finite State Machines, Computations, Algorithms and a First CPS Model
Week 3: Modelling Interfaces for Cyber-Physical Systems: Conversion, Networks, and Complete CPS Models
Week 4: Trajectories in CPS and Simulations: Time Domains, Executions, and Complete CPS Models

Note: People successfully completing the course and passing the exam are entitled to a “Certificate”

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About this Course
Machine learning in Industry 4.0 uses interdisciplinary techniques such as statistics, linear algebra, optimization, and computer science to create automated systems that can sift through large volumes of data at high speed to make predictions or decisions without human intervention. Machine learning as a field is now incredibly pervasive, with applications spanning from business intelligence to homeland security, from analyzing biochemical interactions to structural monitoring of aging bridges, and from emissions to astrophysics, etc. This class will familiarize students with a broad cross-section of models and algorithms for machine learning, and prepare students for research or industry application of machine learning techniques in Industry 4.0. .

Syllabus:
Week 1: Foundations for ML: ML Techniques overview, Data Imputation, Anomaly Detection, Feature Extraction, Data visualization.
Week 2: Modelling: Linear Regression, Logistic regression, Lasso & Ridge Regression, Principal Component analysis.
Week 3: Classification:
Naïve Bayes Classifier: • Introduction, Conditional Probability, Bayes Rule, Naïve Bayes- Example, Laplace correction, Benefits
K-Nearest Neighbors: Introduction, Features, Calculation using Euclidean distance, Aspects to consider while designing K-Nearest Neighbour
Support Vector Machines: • Introduction, Features, Hard Margins, Soft Margins, Non –Linear SVM, SM Hyperparameters, Multiclass SVM.
Week 4: Classification
Decision Trees: • ID3, CART
Ensembles methods: Bagging & boosting, Random forest, Gradient Boosting Machines and XGBoost

Note: People successfully completing the course and passing the exam are entitled to a “Certificate”

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About this Course
Management Accounting course will teach you the fundamentals and importance of accounting function and accounting information. Some of the salient topics that would be covered include the following:
• Familiarize students with financial statements and principles underlying them
• Acquaint them in brief with accounting mechanics, process and system with emphasis on sound concepts, policies and their managerial implications
• Foundation for developing skills in interpreting financial statements of companies
• Awareness on cost accounting data and information emphasizing on the application and decision –making parameters

Syllabus
Week 1: Understanding & Interpreting Financial Statements
Week 2: Accounting Mechanics, Process and System
Week 3: Accounting Policies, Creative accounting, Fund and Cash Flow Techniques
Week4: Cost and Management Accounting – Unit costing, Budgetary Controls, Cost Volume Profit Analysis

Note: People successfully completing the course and passing the exam are entitled to a “Certificate”

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About this Course
As IoT is a new revolution of the internet that is rapidly gathering momentum with the advancement of sensors, mobile devices, networking & cloud technologies. IoT refers to physical & virtual objects that have unique identities and are connected to the internet to facilitate various applications (energy, logistics, industrial control, retail, agricultural and many other domains). This Course comprises 3 main parts; first, covers the building blocks of IoT & their characteristics. Second part introduces programming aspects of IoT with a view towards rapid prototyping of complex IoT applications and part three talks about advanced topics on IoT like data analytics, tools and case studies.

Syllabus
Week 1: Introduction to IoT, Domain Specifics of IoTs
Week 2: IoT & M2M, IoT Platforms & Design Methodology
Week 3: IoT Systems , IoT Physical Devices (Raspberry pi) & Endpoints
Week 4: IoT Physical Servers & Cloud Offerings, Case Studies

Note: People successfully completing the course and passing the exam are entitled to a “Certificate”

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About this Course
Life as a CNC programmer can be an exciting and rewarding path for those who love to create and have an eye for detail. This is a growing field filled with opportunities for those trained to work on complex CNC machines.
Computer Numerical Control (CNC) refers to a process of controlling an automated machine or tool using a programmable computer. Since its introduction in late 1950s, CNC has gained widespread acceptances among manufacturers and undergone major technology revolution in the early 2000s; today, CNC is adopted worldwide by manufacturers in a variety of industries such as Aerospace, Automotive & Racing, Nuclear, Defence, Medical, Machinery, Power Generation and many more.
CNC Machining combine elements of mechanical design, technical drawings, mathematics, and computer programming know-how in a clean, professional environment.
In today’s industry environment, there is a serious shortage of experience and trained individuals who could fully operate a CNC machine. If you are looking for a career shift into technical trades, then becoming a trained CNC personnel can be a major opportunity for you!
During this course, we will cover topics on foundations to become a CNC Programmer.

Syllabus
Week 1: Manufacturing & its types. Explanation of CNC programming cycle. Machining Types - Machines parts Vs Extrusions Vs Sheet metal
Week 2: Types of Raw Materials, Soft metals Vs Hard metals. Standard Fixtures. Types of Cutting tools. CNC Machines & its Controllers. G Codes and M codes
Week 3: CNC programming of simple part & its complete Process
Week 4: Case studies

Note: People successfully completing the course and passing the exam are entitled to a “Certificate”

Register