Use of advanced analytical tools like MATLAB/ SIMULINK, SCILAB/XCOS etc for solution of Management Technology and Innovation challenges and their applications (Applications of these soft wares depends on the various problems formulated in different departments). Information literacy, information sources (media, publishers, aggregators); validity of information, plagiarism and legal aspects. Information search-search engines, journal repositories, academic (social) networks, search strategies, personal contacts, tools for managing references. Integrating information literacy in research, cloud computing, audiovisual tools, e.g. PowerPoint presentations. Literature review; Reading and summarizing relevant articles, critical analysis and evaluation of research; identification of themes and comparators, writing review documents and identification of research (or knowledge) gaps. Scientific method and nature of evidence: Experimental methods and design methods (as may be applicable to individual departments and research areas), data collection and management of quantitative data. Human participants- expert reviews, focus groups, questionnaires and interviews. Project management
and report writing: project planning, report structure and style, general report writing techniques.

Business design and innovation; Definition, evolution and importance of business design and innovation. Methods of business design in real projects. Functions of a business designer in a project. Customer-centricity in the design of products and services.  commercialization of designs and innovation. Return on innovation. Customer desirability and business-model viability phases. Design research methods: ethnography, abductive reasoning, etc. Design of innovative ecosystems. Development of business and innovation models

A proposal report to be written and presented by the Masters degree student as a seminar to staff and students of ACE-SPED and other interested stakeholders.

Fundamental concepts of organisational behaviour. People management skills. Systems view of organizations. Contingency approach to management. Needs theories. Concept of perception and its implications for a manager. Reinforcement theory and its applications in management. Expectancy theory. Equity theory and its implications for behaviour in organizations. Approaches to motivation and their appropriate use. Conflict and methods for effective conflict management. Forces for change and the forces for stability in an organization. Relationship between job design, motivation, and performance. Effects of organizational structure on behaviour. Communication process in an organization. Learning theories. Nature of work-related stress and techniques for effective stress management.

Market structures and their impact on industry performance; pricing strategies of firms; Use of  game theory in interpreting firm behavior; capital budgeting and information imperfections in markets. Economic decision-making framework and their application to a wide range of managerial economic problems; concepts of elasticity and marginal revenue; identify costs that are relevant to decision making and distinguish between cost reductions due to scale, scope and learning effects. Asymmetric information and the application of the basic concepts of game theory to oligopolistic decision making.

History of management information systems (MIS). Types of information systems. Components of MIS. The role of MIS in business. A check-list for effectively applying MIS in business. Management information systems (MIS) as a computer-based technology. The hardware and software backbone of an organisation’s operations. The interlink between people, technology, and organisations. Maximization of investments in personnel, equipment and business processes through MIS. Role of MIS in decision-making, coordination, control, analysis and visualization of information in organizations. MIS in e-finance and e-business.

Descriptive statistics, basic inferential statistics, linear regression, and probability concepts and calculations. Statistical methods in data analysis. Common statistical and programming tools. Information collection and application in problem-solving processes.

Fundamentals of digital transformation and innovation strategy. Latest technologies: AI, software robotics, blockchain, A/VR/MR. Leading innovation and intrapreneurial initiatives. Platform economy and architectural configurations. Transforming strategic capabilities and scaling excellence. Leveraging teams for global innovation. Dealing with Disruption. Incumbents' Dilemma. Changing Competitive Imperatives. Platform-based Competition. Platform Wars: Winning from Behind. Winning Ecosystems. Business Model Innovation: Creating Winning Business

Derivation of intelligence from various data sources for decision making purposes. Improved decision-making process for senior management based on understanding data. Understanding the short and long-term goals of the organisation and how these impact the decision-making process. The strategic value of information, data management and business intelligence to organisational decision-making activities. Contextualisation of business problems to evaluate the requirements for information and data. Application of tools for data analysis, predictive analytics, and data visualisation to assist in the delivery of real-time actionable intelligence, generate insights and provide alternative solutions to an organisation’s complex problems. Evaluation of the technological, social, management and organisational issues affecting the application and /or implementation of business intelligence related activities and effective communication.

Introduction to System Thinking and Scientific Management. Cultural, Organizational and Behavioural theories used for information security management in organization. Legal and Ethical Aspects of Information and Privacy Management. Overview of current information security management standards and practices. Basic Micro and Macro Theory of Information Security. Introduction to Risk, Threat and vulnerability Modeling. Information Security Management and Security Awareness education and training. Overview of Security Planning and Incident Management

Introduction to Entrepreneurship: definition of Entrepreneurship, types and classifications of Entrepreneurs, advantages and disadvantages of being an entrepreneur. Entrepreneurial attributes, traits, skills for success. Recognizing and exploiting opportunity: conducting internal and external analyses, determining the feasibility of the concept, selecting a marketing strategy. Entrepreneurial Business Types: overview of franchising and their advantages and disadvantages, overview of Buyouts & their advantages and disadvantages, overview of family businesses and their advantages and disadvantages. The Overall Business Plan: purpose of the
business plan, creating a business model canvas, components of the Business Plan, presentation of the Business Plan, matching the Business Plan to the needs of the Firm. The Marketing Plan: conducting a market analysis, understanding the target market, reaching the target market through Locale and Engagement.

Digital Strategy and Leadership: integrating strategy, digital transformation, business model innovation through the convergence of technology and business processes with human values; maintenance of digital ecosystem, restoration and protection of digital environment. Customer Experience Management: definition of customer experience management. Digital Technology and Innovation: chief information officer (CIO), agile frameworks, cyber security and risk management, IT investments, and vendor management. Digital Business Models: emerging business models in ICT age, strategic values of emerging technologies (cloud computing, social
media, big data, the internet of things etc), aligning technological opportunities with business strategy. Digital Business Applications: efficient and effective use of IT to conduct business, ethical and legal issues pertaining to business, communication through the utilization of audio and video applications, working with digital images and print media using cloud based design graphics (e.g., canva, easel.ly, piktochart, etc.). Business Analytics: definition of business analytics, types of business analytics and their applications.

Technology. Innovation Theory for marketing purposes, Innovation as a business process. Marketing strategies. Linking R & D and Marketing: setting up special committee to oversee product development, testing, research, and selling. Marketing plans. Pricing. Funding Your Products: sources of finances, approaching the investors, the business plan. Partnering and Outsourcing: partnership, rules for strategic alliances. Business Plans. The Sales World: selection, training and management of sales staff. Marketing Technology (Martech). Pragmatic Advertising. Marketing Automation Platforms: connecting brands with consumers and customers in a new and innovative ways. Online and Offline Tracking. Data Analysis: assessing outputs and results based on specific and available campaign tools. Celebrity Endorsement Model: identifying influential people to speak to various audiences on a smaller scale. Marketing
Automation: tracking of data to predict a user's likes, dislikes, interests and even buying habits.

Industrial Internship for a duration of two months is compulsory for MoTI students. The internship, which is expected to be undertaken in one of our Sectoral partner’s establishments/industries/firms could lead to a research project and will culminate in a seminar presentation at the end of the internship.

ACE students are required to carry out a research-based project in any of the thematic areas of ACE-SPED under the guidance of an academic staff appointed by the Centre. This will be captured in a standard Project Report to be examined orally by a Board of Internal and External Examiners as laid down in the guidelines of the School of Postgraduate Studies of the University

Operations Management Defined. Benefits of Effective Operations Management: product and service quality, productivity, customer satisfaction, reducing operation costs, maximizing production efficiency, competitive advantage. Roles and Responsibilities in Operations Management: chief operating officer (COO), operations manager. Ideal Skills of an Operations Manager: organizations ability, people skills, coordination of processes, technological innovation (Tech-Savvy). Planning Operations, Inventory and Quality Control: production planning, scheduling, supply chain management, forecasting, inventory management, service design and
quality control. Strategic versus Tactical Operations Decisions. Managing Productivity. Designing the System: product design, process design and facility design. Operations Management Enhancement using Software: I.T. background, cloud tools, sharing of workflow
charts, use of phones, artificial intelligence (AI).

Human Resource (HR). Human Resource Management (HRM). Operative Functions of HRM: recruitment and selection, job analysis and design, performance management, learning and development, compensation management, policies, employee welfare, succession planning, human resources information systems, HR data and analytics. Importance of HRM: recognizing and valuing individuals, people bring ideas, quality of work life, upskilling, facilitate continual worker adaptation, employee satisfaction, strategy management, training and development, conflict management, establishment of a healthy work culture, compliance with employment
laws.

The nature of technological change and innovation: Waves of change, Generations’ of innovation, Technology (research) push, Market (demand) pull, Third-generation innovation, Fourth-generation innovation, Fifth-generation innovation, Market driving innovation.
Innovation management: Early development, Evolution and change, Defining innovation management, Management or innovation management, Managing dynamics of change. Skeptical voices: Technological innovation and economic growth, Changing rhythms of economic growth, Innovation: a good thing. Recurring and contemporary themes: Degrees of innovation, Radical innovation, Incremental innovation, Disruptive innovation, Product and process innovation, Service innovation, Diffusion of innovations, Adopter categorisation and putting it all together

Strategy, innovation, and competitive dynamics of digital platforms in digital economies, principles of building digital platforms, strategic design and management of platform, Tactics for stimulating digital platform growth, New technology trends impacting digital platforms (e.g., distributed ledger systems), The challenges of platform organizations in ever-changing digital economies, Evaluate the potential for success of a digital platform, Develop a strategy to sell through or interact with someone else's digital platform

Cost function. Accounting statements, tax implications, types of costs, profit recognition, financial markets, investment decision tools. Net present value (NPV). Cash flow analysis; free cash flows, project financing, valuation of firms, risk-return, cost of capital, long-term financing, short-term financing, and equity financing for entrepreneurs. Discussion on mergers and acquisition activities, governance and ethics, and international aspects. Business cases from contemporary firms and readings relevant to technology management are used to illustrate the application of financial concepts.

Theories, practice and history behind global innovation management. Enterprise innovation management. Realisation of innovation management and its role in new and existing enterprise and finding unique value. Detailed understanding of the people components of innovation management. Complexity of strategically leading innovation management and developing a systemic innovation platform in a global context. Importance of open innovation and R&D. Importance of knowledge acquisition, exchange and absorption. The role of innovation management in clusters, regions and nations. Future trends around technology and innovation management.

Aspects of project planning and execution: project design, project life cycle, strategic analysis and quality management. Definition of project management; categorization of different types of projects and developing project management skills. Project planning from cradle to closure: feasibility study, time management, identifying and managing risks, estimating cost & budgeting, return on investment (ROI), determination of payback period and net present value (NPV); project implementation and monitoring; project management techniques and project termination and closure are covered. Introduction to Agile methodology. Respond to uncertainties and unpredictability of projects.

Introduction to Cyber Security, explanation of Cyber areas such as what cyber is, definitions of cyber war, espionage, crime, etc. Basic components of Cyber Security such as OSINT, Hacking and Criminal Hackers, Hacker Profiles and Forensics, Cyber Warfare, Espionage and Crime. How IT-Security has "morphed" into cyber security, effective protection mechanisms against common threats related with identity, review of latest researches into attacks, defences and reasons for various areas of cyber security, Discussion on common core concepts of cyber security.

Introduction to People Analytics, and Performance Evaluation, Staffing: use of data in the analysis of key components of staffing cycle: hiring, internal mobility and career development, and attrition, Collaboration: basic principles behind using people analytics to improve
collaboration between employees inside an organization, Talent Management and Future Directions: how data may be used in talent assessment and development to maximize employee ability

Choice of broad research area with considerations of interdisciplinary topics, Identification of research/ knowledge gaps and research objectives. Role of technical reports in engineering projects. Fundamental principles of technical writing. Format of different types of reports, outlines, purpose and scope, technical discussion details, role of appendix, function of figures, equation editors, tables and illustration. Literature search, references (citing’s and listings). Nature of recommendations and conclusions. Guides for writing memoranda, business letters. Oral presentation of technical reports and thesis. Synopsis writing Developing long-term research plan, Identification of potential funding agencies and their requirements. Research objectives in relation to interests of the funding agencies. Estimating research timelines, Budget preparation, manpower requirements and availability, research facilities, legal issues, etc.

A proposal report to be written and presented by the PhD candidate as a seminar to staff and students of ACE-SPED and other interested stake-holders.

Market structures and their impact on industry performance; pricing strategies of firms; Use of game theory in interpreting firm behavior (Mini project on interpreting firm behavior); capital budgeting and information imperfections in markets. Demand Forecasting; demand forecasting techniques. Demand Functions; Linear Demand Function, Non-Linear Demand Function, Multi-Variate or Dynamic Demand Function. Economic decision-making framework and their application to a wide range of managerial economic problems; concepts of elasticity and marginal revenue; identify costs that are relevant to decision making and distinguish between cost reductions due to scale, scope and learning effects. Asymmetric information and the application of the basic concepts of game theory to oligopolistic decision making. Market Structure and Pricing Decisions; Price Determination Under Perfect Competition (a) Pricing in
Market Period (b) Pricing in the Short-Run (c) Pricing in the Long-Run; Price Determination Under Pure Monopoly (a) Monopoly Pricing and Output Decision in the Short-Run (b) Monopoly Pricing and Output Decision in the Long-Run.

Descriptive statistics, basic inferential statistics, correlation and regression, probability and probability distributions. Bayes' theorem and introduction to Bayesian statistics. Gaussian (normal) distribution and the lognormal distribution. Sampling distributions and tests of
significance. Analysis of variance. Statistical methods in data analysis. Common statistical and programming tools. Information collection and application in problem-solving processes.

Fundamental concepts of organisational behaviour. People management skills. Systems view of organizations. Contingency approach to management. Needs theories. Concept of perception and its implications for a manager. Reinforcement theory and its applications in management. Expectancy theory. Equity theory and its implications for behaviour in organizations. Approaches to motivation and their appropriate use. Conflict and methods for effective conflict management. Forces for change and the forces for stability in an organization. Relationship between job design, motivation, and performance. Effects of organizational structure on behaviour. Communication process in an organization. Learning theories. Nature of work-related stress and techniques for effective stress management.

Operations Management Defined. Benefits of Effective Operations Management: product and service quality, productivity, customer satisfaction, reducing operation costs, maximizing production efficiency, competitive advantage. Roles and Responsibilities in Operations Management: chief operating officer (COO), operations manager. Ideal Skills of an Operations Manager: organizations ability, people skills, coordination of processes, technological innovation (Tech-  Savvy) .Planning Operations, Inventory and Quality Control: production planning, scheduling, supply chain management, forecasting, inventory management, service design and

Human Resource (HR). Human Resource Management (HRM). Operative Functions of HRM: recruitment and selection, job analysis and design, performance management, learning and development, compensation management, policies, employee welfare, succession planning, human resources information systems, HR data and analytics. Importance of HRM: recognizing and valuing individuals, people bring ideas, quality of work life, upskilling, facilitate continual worker adaptation, employee satisfaction, strategy management, training and development, conflict management, establishment of a healthy work culture, compliance with employment
laws.

Industrial Internship for a duration of two month is compulsory for all PhD students. The internship, which is expected to be undertaken in one of our Sectoral partners could lead to a research project and will culminate in a seminar presentation at the end.

A thesis shall embody original scholarship and independent research which must make a distinct contribution to knowledge in an area of control and instrumental engineering. The thesis must be submitted in an approved format and defended in an oral examination.

A final progress report to be written and presented by the PhD candidate as a seminar to staff and students of ACE-SPED and other interested stake-holders. After successful revisions the PhD thesis shall be sent to a duly appointed External Examiner. Final examination of the thesis shall be by viva voce presentation

Cost function. Accounting statements, tax implications, types of costs, profit recognition, financial markets, investment decision tools. Net present value (NPV). Cash flow analysis; free cash flows, project financing, valuation of firms, risk-return, cost of capital, long-term financing, short-term financing, and equity financing for entrepreneurs. Discussion on mergers and acquisition activities, governance and ethics, and international aspects. Business cases from contemporary firms and readings relevant to technology management are used to illustrate the application of financial concepts.

The nature of technological change and innovation: Waves of change, Generations’ of innovation, Technology (research) push, Market (demand) pull, Third-generation innovation, Fourth-generation innovation, Fifth-generation innovation, Market driving innovation.
Innovation management: Early development, Evolution and change, Defining innovation management, Management or innovation management, Managing dynamics of change. Skeptical voices: Technological innovation and economic growth, Changing rhythms of economic growth, Innovation: a good thing. Recurring and contemporary themes: Degrees of innovation, Radical innovation, Incremental innovation, Disruptive innovation, Product and process innovation, Service innovation, Diffusion of innovations, Adopter categorisation and putting it all together.

Aspects of project planning and execution: project design, project life cycle, strategic analysis and quality management. Definition of project management; categorization of different types of projects and developing project management skills. Project planning from cradle to closure: feasibility study, time management, identifying and managing risks, estimating cost & budgeting, return on investment (ROI), determination of payback period and net present value (NPV); project implementation and monitoring; project management techniques and project termination and closure are covered. Introduction to Agile methodology. Respond to uncertainties and unpredictability of projects. project team formation & management, Managing multiparty contractual links, decision analysis, ICT in project management; web-based project management, e-Business & e-Construct, stakeholders’ management, supply chain management,
artificial intelligence (AI), Strategy and knowledge management. organisational structure and culture, decision making process, communication and negotiation, individual and group motivation, quality assurance and quality control, managing diversity and conflicts, critical path analysis.

troduction to Cyber security. Cyber security Attacks (Cyber Crimes) (email spoofing, Data Diddling, Denial of service attack, web jacking, logic bombs, cybersquatting, online auction fraud, middle man attack, computer hacking, phishing, cyber stalking, user tracking, software piracy, creating and distributing virus, spamming, cyber espionage, cross site scripting). Malware attacks. Cyber security defense techniques. Risk detection and Assessment. Information Security (INFOSEC). Information security protocols. Cryptography (Cryptographic techniques and algorithm: symmetric encryption, Public-key encryption, secure hash functions). Real time cyber attacks detection and mitigation. Cyber security innovations (State-of-the-art cyber security systems and tools). Privacy laws and data protection. System security threats and mitigation techniques (Computer systems security Software security, Server security, IoT security, Mobile device security, Bot security). Network security threats and mitigation techniques (Web security). Authentication techniques. Cyber Intelligent analysis. Cyber policy and strategy management. Application of Artificial Intelligence (AI) and Biometrics in cyber security models. Cyber ethics. Digital Forensics and data analysis for cybercrime.

Technology. Innovation Theory for marketing purposes, Innovation as a business process. Marketing strategies. Linking R & D and Marketing: setting up special committee to oversee product development, testing, research, and selling. Marketing plans. Pricing. Funding Your Products: sources of finances, approaching the investors, the business plan. Partnering and Out sourcing: partnership, rules for strategic alliances. Business Plans. The Sales World: selection, training and management of sales staff. Marketing Technology (Martech). Pragmatic Advertising. Marketing Automation Platforms: connecting brands with consumers and customers in a new and innovative ways. Online and Offline Tracking. Data Analysis: assessing outputs and results based on specific and available campaign tools. Celebrity Endorsement Model: identifying influential people to speak to various audiences on a smaller scale. Marketing