Learning Outcomes

An Overview to Modelling and Analytics

Introduction to Supply Chain

Uncertainty and Risks in Supply Chain

Decisions and Performance Measures in Supply Chain

Introduction to Analytics in Supply Chain

Analytics Framework Based on SCOR Model

Design Options for Distribution Network

Lesson Summary

This module presents the basics of modelling and analytics in the supply network. You will learn about the flows of the supply chain, measures for analysing the performance of the supply chain and how big data analytics can be leveraged in managing the supply chain.

Linear Programming

Linear Point Method

Rating and Ranking Method

Clustering Method

MCDM Techniques

This module highlights the various analytics involved in the supplier selection process. You will learn about the need for mathematical modelling in selecting suppliers, various methods of selecting suppliers and the process of converting qualitative information into numeric market information.

Transportation Cost Modelling

Min-Max and Max-Min Model

Maximum Flow Model

Shortest Path and Minimal Spanning Tree Model

This module presents the modelling and analytics techniques involved in transportation. You will learn about the various techniques available for transportation modelling, how to minimize the maximum quantity on a high cost transportation route and how to determine the shortest route when there are networks of roads.

Decision Making for Warehouse Location

Break Even and Centre of Gravity Model

Ardalan Heuristic and Transportation Cost Model

Total Cost Model

Warehouse Layout

Warehouse Space Calculation

Storage Space Calculation

This module presents the modelling and analytics techniques involved in determining the locations and space requirements of warehouses. You will learn about the various conventional and modern ways for determining warehouse locations, the procedure for determining the overall size of the warehouse and the process of estimating the space requirement and storage patterns in a warehouse.

Performance of the Entire Supply Chain

Data Envelopment Analysis

This module presents the strategic performance measurements used for improving the efficiency of the warehouse. You will learn about the procedure for measuring the performance of the warehouse, various input and output operations in the warehouse and the role of DEA,CRS and VRS models in improving performance operations of a warehouse.

Concepts in Inventory Management

Simultaneous Production and Consumption Model

Lost Sales

Multiple Items Inventory Models

Constraint on Space and Number of Orders

This module presents the concept of inventory and inventory management in the context of supply chain. You will learn about the different terminologies used in inventory management and how inventory modelling helps in dealing with the constraints on space, planned shortages with backorders and lost sales.

First Course Assessment

Safety Stock and Reorder Level

Continuous Review System

Periodic Review System

This module presents the functions of various review systems in the context of inventory management. You will learn about the tracking procedure of  inventory and how to determine the fixed interval reorder point for reviewing the inventory.

Transport Systems in India and the World

Transport Costing

Public Transport Costing

Fixing Fare for Public Transportation System

Foreign Trade Logistics

This module presents an overview of the transportation systems in the context of Supply Chain Management. You will learn about the procedure for determining transportation costs using mathematical modelling, the use of formula and passenger–kilometre approaches to fix the costs of public transports and how logistics takes place between India and its neighbouring countries.

Analytical Hierarchy Processing (AHP) Method

Technique of Order Preference by Similarity to Ideal Solution (TOPSIS) Method

VIKOR Method

ISM Method

Forecasting Simple and Weighted Average Mean Square Error

Exponential Smoothing Method

Seasonality in Forecasting

Trend Regression

Holt's and Winters' Method

Multi Period Forecasting

This module presents the various multi-criteria decision making and forecasting methods. You will learn about the process of determining the best supplier or best product, based on multiple criteria and the procedure of forecasting when the model estimates demand and constant.

Information Distortions in Supply Chain

Coordination and Collaboration Modelling

Six Sigma Approach to Coordination

Measuring the Degree of Coordination

This module discusses the modelling coordination in Supply Chains. You will learn about the effects of information distortions in the Supply Chain and how Six Sigma and the Queuing Theory helps in developing robust coordination systems.

Risks and Supply Chain Disruptions

Modelling Risk Analytics

This module discusses the risk analytics in Supply Network Design. You will learn how risks disrupt the supply chain, the steps involved in assessing the risks and the need for mathematical modelling to estimate the riskiness of a supply chain.

Taxation

Tax Advantages

Transhipment

Flexibility

Total Cost

Echelons

This module presents the design and modelling of the Global Supply Chain. You will learn the process of designing Global Supply Chain by taking care of tax advantages. Discover how modelling the total cost of the supply chain helps in minimizing the cost  and how to design the entire supply chain right from the supplier base to the end customer.

Second Course Assessment

Advanced Diploma in Modelling and Analytics for Supply Chain Management-Course Assessment

In this free diploma in modelling and analytic, learn how Analytics can be applied to various domains of supply chain.

Advanced Diploma in Modelling and Analytics for Supply Chain Management

This free online diploma in modelling and analytics for supply management focuses on the nature and goal of supply networks and explains the impact of analytics-based supply chain decisions on the success of a firm. The course covers key metrics that track the performance of the Supply Network, identification of the key factors to be considered when designing a distribution network, and use of analytical techniques for developing a framework.

Overview of Information Technology in Workplace

Contributions of IT to the Workplace.

Information Technology and the Manager

The Challenge of Change

Six Major Trends and Implications for Management

This module discusses, what its meant by Information Technology. You will learn about how IT contributes to the workplace, major trends of IT and how IT can change your business.

What is Information?

Interpreting Information

Characteristics of Information

From Information to Knowledge

Decision Making

This module discusses information, you will learn about what information is, what influences peoples interpretation information, information's characteristics and how turn you information into knowledge.

First Assessment

You must score 80% or more to pass this assessment.

Frameworks for Information Technology

A Framework Based on IT

The Basics of Information Systems

This module discusses frameworks available to a business organisation, various applications IT adds to a business, and you will learn about different types of information systems.

Modern Organizations

Organizational Flexibility

Strategic Issues of Information Technology

This Module discusses, IT making your organisation more modern, informal and formal organisations, factors that influence structure and design of modern organisation. You will learn about variable in IT and the importance of IT in determining a corporate strategy.

Second Assessment

Management Control

Information and Control

Management Issues and Security Issues

This module discusses managerial control of a business organisation, tools for control to different levels of management, importance of auditing information system.

The Impact of Globalization on Business

International Business Strategies

Transnational Virtual Firms and IT

Managing Information Technology Internationally

In this module you will learn about the globalisation of a company, impacts it has, global business strategies, government requirements and problems of global organisations.

Third Assessment

Managerial Concerns

Programming Languages

The Operating System

Mobile Technologies

This module will teach you about the choice of software been important to a business, the difference between system and application software, programming languages and characteristics of a operating system.

File Elements

Database Management Systems (DBMS's)

Databases in System Design

This module will teach you about databases,  important aspects of their design, Functions of a database management system, and about SQL.

Fourth Assessment

The Design Task

A Systems Design Life Cycle

User-Oriented Design

Structured versus Object-Oriented Design

This module will teach you about building information systems, you will learn about stages of a software design task, systems life cycle, different types of design and Object-oriented design.

Systems Analysis

Survey and Feasibility Study

Identifying System Alternatives

Undertaking Systems Design

This module discusses the early stages of systems design and why they are the most crucial stages. you will learn about costs, benefits, problems, solutions in the early stage of designing a system.

Fifth Assessment

Diploma in Information Technology Management - Final assessment

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Diploma in Information Technology Management

This free online course in Information Technology management will introduce you to the core concepts and best practices of the trade. The course will also teach you how to implement and control IT in both small and large organisations. Given the importance of Information Technology management today, people with IT management skills make for highly valuable employees. This course will bring your IT management skills to the next level, for free.

Understanding Fundamental Concepts

Identifying and Mitigating Bias in AI Systems

Ethical Decision Making in AI Development

Foundations of Deontological Ethics

Virtue Ethics and Character Development

Introduction to Ethics and Moral Philosophy

Ethical Dilemmas and Decision-Making Frameworks

Applications of Ethical Theories in Modern Context

Bias and Fairness in Machine Learning

The Impact of AI

This module covers essential aspects of AI ethics, focusing on identifying and addressing bias in AI systems. Learn about key concepts such as Ethics, Deontological Ethics, and Consequentialist Approaches. Additionally, the module examines important frameworks for understanding various moral approaches and reasoning processes.

Understanding Data Privacy Basics

Data Anonymization and Masking Techniques

Ethical Considerations

Identifying Sources of Bias in Data

Evaluating the Impact of Bias

Introduction to Automation Technologies

Impact of Automation on Various Industries

Strategies for Workforce Adaptation

Philosophical Foundations of Ethical AI

Regulatory Frameworks and Policy Issues

In this module, we will cover the concept of data privacy, including the collection, storage, and protection of personal and sensitive information. We will also discuss important techniques for data anonymization and masking to safeguard individual identities while still allowing for valuable data analysis.

Understanding Legal Foundations for AI

Regulatory Approaches to AI Development

International Perspectives on AI Regulations

Key International AI Standards

Compliance and Risk Management in AI

Introduction to Social Justice and Equity in AI

Mitigating Algorithmic Bias and Discrimination

Case Studies and Future Directions in AI

This module discusses the legal principles that govern AI technologies, along with essential legal concepts that underpin AI development and deployment. It also explores how ethical considerations are integrated into AI-policy making, including strategies for mitigating algorithmic bias and discrimination.

Environmental Impacts of AI

Ethical Considerations in AI Development

Foundations of Ethical Leadership in AI

Privacy and Data Protection in AI Systems

Building a Culture of Ethical AI Practices

Establishing Core Ethical Principles

Creating and Implementing Ethical Policies

Understanding Ethical Principles

Frameworks for Ethical Decision Making

Evaluating and Refining Ethical Standards

In this module, learn how AI can drive economic growth and social change while also creating economic inequality. Explore strategies for implementing robust privacy measures in AI systems to build trust and compliance. We also explain essential techniques for assessing the effectiveness of ethical policies in AI deployment.

Course assessment

Discover key principles of ethics, critical theories and framework of AI development in this free online course.

Diploma in AI Ethics: Navigating the Moral Compass of Business AI

Learn the key concepts of data privacy as well as the profound effects of AI on individuals and communities in this course. The course covers a range of topics, including theories of moral reasoning in ethical decision-making, ethical considerations in AI integration, algorithmic bias, and more.  This course will teach you about the ethical framework of policies and standards for effective AI deployment. Start this course today.

Introduction to Data Management

Designing a Database

Database Management Systems

This module introduces the concept of data and databases. It consists of topics that cover the following concepts: Definitions of data, information and knowledge, hierarchical relationship and the DIKW pyramid, introduction to relational databases, designing databases, database normalization, an introduction to Structured Query Language(SQL), Database Management System (DBMS), big data and enterprise databases.

Data Warehouse

Data Mining

Knowledge Management

This module discusses data warehouses and data mining. It covers the following: Introduction to data warehouse, bottom-up and top-down approaches to data warehouse design, benefits of setting up a data warehouse, the process of data mining, business Intelligence and business analytics and organizational knowledge management and its role in decision making.

Data, Databases and Mining - Course assessment

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Data, Databases and Mining

This free online course explains the importance of data and knowledge to an organization. It describes the lifecycle of data in the wisdom hierarchy and how knowledge management can be used in business intelligence. By the end of the course, you will be able to describe the flow of data through the information ladder and its role in organizational growth. Start your learning journey on the uses of databases and data mining today!

Management Decision Making

Business Intelligence Systems, OLAP, and Group Support Systems

Artificial Intelligence

Learn about processes involved in decision making along with  some of the information tools designed to help decision makers, the function of Neural Networks and the four levels of expertise that can be applied to unstructured decisions.

Gathering and Storing Knowledge

Learn about the process known as Knowledge Management, what is meant by “groupware systems”, and the two reasons that knowledge is often slow to enter such systems.

Gain a better understanding of the benefits of business intelligence and knowledge management systems with this course.

Business Intelligence and Knowledge Management Systems

This free online business intelligence and knowledge management systems course will give you a better understanding of the information tools used to assist decision-makers. Business Intelligence is a set of theories and methodologies that handle large amounts of data and information to assist managers with decision-making. With this course, you will also learn the process known as decision-making including the three steps involved.