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Welcome to ACE-SPED UNN

by Collins Udanor -

PHILOSOPHY:

The academic programmes of the Africa Centre of Excellence for Sustainable Power and Energy

Development (ACE-SPED) are guided by the awareness that the major developmental

challenges in the Sub-Saharan Africa region are centered on non-existence or generally poor

access to electric power and energy supply to the citizenry. This poor level of energy equity,

energy security and environmental sustainability is a major threat to development. Auspiciously,

the natural resources that can be harnessed to resolve these challenges are readily available,

sometimes in abundant supply. However, the needed human capital and technology to harness

these resources are often deficient in quantity and quality. Hence the ACE-SPED programmes

are fashioned to bridge this human capital gap in the energy and power industry in sub-Saharan

Africa.

OBJECTIVES:

The general objectives of the programmes of ACE-SPED are therefore to carry-out impactful

educational and research aimed at tackling the power and energy delivery challenges in Sub-

Saharan Africa which includes:

1. Lack of access to reliable electric power supply,

2. Poor diffusion of renewable and alternative energy technologies,

3. Shortage of high-level skilled manpower to deploy and manage the power supply system.

Using student-centered, interactive and engaging educational curriculum cum robust Research &

Development themes with strong practice orientation, ACE-SPED intends to equip its graduates

to deliver great impact on sustainable power and energy development in the region. The

educational and research program are structured in such a manner that would produce welltrained

and focused young professionals equipped with the right skills to engage on diverse

power and energy projects to address the afore-mentioned challenges.

SCOPE:

The Masters of Engineering (M.Eng)/Masters of Science (M.Sc) and Doctor of Philosophy

(Ph.D) programmes of ACE-SPED are carefully structured to address the perennial shortage in

quality manpower for the power and energy industry in Sub-Saharan Africa. The core specialist

areas are Renewable and New Energy Systems, Power Engineering, Sustainable Energy

Materials Engineering, Industrial Electronics and Power Devices, Control and Instrumentation

and Energy Policy, Regulation and Management (M.Sc only). A Professional Diploma (PGD) in

Additive Manufacturing (3-D Printing) Technology is also in offer for university and polytechnic

graduates.



Available courses

LMS USER TRANING

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Business management courses are ideal for anyone wanting to get a better understanding of what it takes to succeed in the business world. As a distance learning qualification, a course such as the Higher Certificate in Business Management from Adapt  Business School gives you an overview of business management theory as well as practice.

This course is ideal for those who wish to pursue a career within business related fields, as well as those wanting to expand their skills within their current careers. It is also excellent for small business owners and entrepreneurs who wish to learn more about running a business from a financial, marketing and management point of view.

Key focus areas of this course are as following:

  • Learn how to apply the fundamental principles of business within a real-world working context;
  • Learn how to analyse and implement financial data for effective decision making;
  • Learn how to use financial management tools to obtain and manage resources;
  • Learn how to use communications and IT systems for better communication;
  • Learn how to recognise major success factors when running small businesses
  • Learn how understand the role of entrepreneurs and their role within small business;
  • Learn how to create and plan marketing strategies for optimal business growth.

MTI 719: Advanced Human Resource Management (3 Credit Hours)

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.

ACE 701: Advanced Methods of Engineering Design and Systems Analysis

(3 Credit Hours)

Advanced version of ACE 601

COURSE DESCRIPTION FOR PhD

ACE 701: Synopsis and Research Grant Writing (3 Credit Hours)

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 Page 13 of 14 research timelines, Budget preparation, manpower requirements and availability, research facilities, legal issues, etc.


ACE 601: Advanced Methods of Engineering Design and Analysis (3 Credit Hours)

Philosophy of Engineering Design: techniques and analysis, synthesis and evaluation; The creative process: Design in the Corporate Environment: engineering research, marketing, finance and other corporate functions – and comprehensive design. Development Engineering; postinitial design development of new products, value engineering; development testing vs experimental research; case studies. Integrated treatment of mathematical modeling and analysis of systems. Modeling linear and nonlinear systems and their performance under transient, periodic and random loads, time domain and transfer techniques for linear continuous and discrete time systems. Transfer function, integral equation representation, and  state model for selected control systems. State variable methods. State transition matrix for time- invariant and time varying continuous and discrete systems. Solving practical Engineering problems using MATLAB/SIMULINK, MAPLE, MATHEMATICA, etc). Adjoint Systems. Singularity functions and superposition integrals for linear systems. Distributed parameter system analysis.

Selected numerical analysis methods and applications. Theory of design, material consideration, optimization techniques, similitude, stability, design of experiments and evaluation of results.

PGC 601: Research Methodology and ICT in Engineering (3 Credit Hours)

Use of advanced analytical tools like MATLAB/SIMULINK, SCILAB/XCOS, etc. for solution of engineering problems and their applications (Application of these softwares 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.

MTI 717: Advanced Operations Management   (3 Credit Hours)                               

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).


MTI 715: Advanced Organizational Behaviour      (3 Credit Hours)        

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.


MTI 713: Advanced Statistics for Data Analysts (3 Credit Hours)                                                        

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.


MTI 711: Advanced Economics and Strategies of Technology Management   

           (3 Credit Hours)        

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.


MTI 637: Marketing of Technology and Innovation  (2 Credit Hours)

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.


MTI 635: Digital Business Management       (2 Credit Hours)

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.  

MTI 633: Entrepreneurship                                       (2 Credit Hours)

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, 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. Packaging up Opportunities: the business plan. Social Entrepreneurship: definition of social entrepreneurship, types of social entrepreneurship. Entrepreneurial Strategy. Entrepreneurial Finance: definition of entrepreneurial finance.


MTI 623: Statistics for Data Analysts                      (2 Credit Hours)

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.


MTI 621: Management of Information and Information Systems (2 Credit Hours)

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.


MTI 611: Organizational Behaviour                             (3 Credit Hours)

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.

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MTI 601: Methods of Business Design and Innovation          (3 Credit Hours)

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.

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MTI 629: Information Security for Managers   (2 Credit Hours)                                                              

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.

MTI 716: Advanced Cyber Security (3 Credit Hours)

Introduction 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.

MTI 644: Cyber Security (2 Credit Hours)

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.

MTI 616: Financial Analysis for Technology Managers (3 Credit Hours)

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.

MTI 613: Economics and Strategies of Technology Management (3 Credits Hours)

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.

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


MTI 627: Data Visualization for Business Intelligence (2 Credits Hours)

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.

ACE 714: Advanced Bioenergy Engineering (3 Credit Hours)

Biofuels from biomass conversion processes (solid: biochar; liquids: bioethanol and biodiesel;

gaseous: biogas and syngas). Types of reactors, chemical equilibrium and reaction kinetics.

Thermochemical conversion (pyrolysis, gasification, reforming, combustion). Biochemical

conversion (anaerobic digestion, fermentation). Oil extraction and esterification. Pretreatment

of biomass (pelleting; chipping; torrefaction, bio-drying, etc.). Management of solids / liquids /

gaseous biomass process waste. Heat and power generation from biomass boilers and stoves

(operation, sizing criteria); costs. Power generation from biofuels: engines (ICE), turbines (steam

or gas) and fuel cells. Case studies: gasification plant + ICE. Process modeling and simulation

with commercial softwares, such as ASPEN Plus or CHEMCAD etc. Methane combustion and

methane steam reforming.

ACE 614: Bioenergy Engineering (3 Credit Hours)

Principles and processing methods involved in bioenergy production. Characterization of the properties of biomass: proximate and ultimate analysis, calorific (heating) value, density, moisture content. Classification into Type 1: ligno-cellulosic, starchy, sugar, oilseeds; Type 2:

municipal residual waste, organic waste, sewage sludge, manure; Type 3: biofuels from biomass

conversion processes (solid: biochar; liquids: bioethanol and biodiesel; gaseous: biogas and syngas). Processes for biomass conversion. Introduction to thermochemical, biochemical, and mechanical processes. Types of reactors, chemical equilibrium and reaction kinetics.

Thermochemical conversion (pyrolysis, gasification, reforming, combustion). Biochemical conversion (anaerobic digestion, fermentation). Oil extraction and esterification. Pretreatment of biomass (pelleting; chipping; torrefaction, bio-drying, etc.). Management of solids / liquids /gaseous biomass process waste. Heat and power generation from biomass boilers and stoves.

ACE 653 – Instrumentation and Control in Power Plants

Classification of Instruments in Power Plant – Mechanical Instruments and Electrical

Instruments; Thermal Power Station, Combined/Cogen Plant; Power Plant operation – efficiency, reliability, accuracy, cost and safety; operating values and ranges of parameters –temperature, pressure, flow and levels; plant safety lifecycles and safety integrity levels; Power

Plant control system – integrating process control and substation automation; control types – model based coordinated control concept, adaptive control, gain-scheduling control

ACE 651 – Advanced Principles of Control Systems (3 Credit Hours)

Review of sensors (voltage, current, power, torque, frequency, temperature, flow rate, position

and pressure sensors). Review of Laplace Transforms for (representing process control systems

and solving ordinary differential equations). First Order System, Second Order System,

Integrating Systems and Dead Time in Controller Algorithms. Coordinate Transform (dqo axis

transform) of Multiphase Variables (such as voltage, current and flux) for dynamic and steady

state systems. Modeling and Simulation of Dynamic Systems. State Vector Modeling/Analysis

of Controlled Devices/Systems. Stability Analysis Methods of Linear and Nonlinear Control

Systems using the Continuous Time and Discrete Time Space Vector Control Concepts.

ACE 652 Logic Control Circuits in Power Engineering (3 Credit Hours)

Digital logic families, linear integrated circuit components, small signal discrete components and

their main specifications. Common transducers, Microprocessor programmed logic. Design of

firing/gating logic circuits for controlled rectifiers, inverters, choppers and cyclo-converters.

Design of voltage, current, power and frequency regulation circuits for motor drives and power

supplies. Microprocessor-based logic control methods.

ACE 642 Power Electronics Converters and Systems (3 Credit Hours)

Design, analysis and control of switch-mode power supply topologies namely:

i. DC to DC Converters

ii. AC to DC Converters

iii. DC to AC Converters

Case study applications in computers, communications gadgets, sensor/metering gadgets,

medical devices, energy saving lighting systems/displays, electric vehicles, electric power

storage systems, power system controllers etc. Efficiency optimization of switch mode power

supply.

ACE 641 Power Semiconductor Devices (3 Credit Hours)

Review of structures, characteristics, modelling, safe operating requirement and protection of

silicon/silicon-carbide/gallium-nitride based power semiconductor devices namely:

i. Power Diodes.

ii. Power Transistors (Bipolar Junction Transistors (BJTs), Fields Effect Transistors (FETs),

Metal Oxide Semiconductor Field Effect Transistors (MOSFETs), Insulated Gate

Bipolar Transistors (IGBTs)).

iii. Thyristors (Silicon controlled Rectifiers (SCRs), Gate Turn off Thyristors (GTOs), Triacs

and MOS controlled Thyristors (MCTs)).

Power semiconductor device integration and fabrication techniques to achieve high breakdown

voltages, high current carrying capability, low on resistance, fast switching speed and high

reliability.

ACE 666: Development of Renewable Energy Systems (Grid & Non Grid)

(3 Credit Hours)

Overview of regulatory, legal and contractual aspects of renewable projects. It also provides understanding of the economics of renewable energy projects, finance market conditions, project calculations scenarios, input parameters, comparative calculations and finance schemes.

Financing is an important aspect of the course as initial investment is often the main barrier for renewable energy systems. The course will help students understand the important non-technical aspects for the successful implementation of RE projects, providing information on how to successfully implement RES in areas with no grid connection. Regarding social aspects, it gives measures to ensure public acceptance, which is important to guarantee useful application of renewable energy and proper O&M.

ACE 663: Introduction to Energy Policy and Analysis (3 Credit Hours)

General nature of policy, policy goals, policy tools, characteristics and policy instruments, effective policy making, policy design cycle, energy policy drivers and analysis, socio-economic aspects of energy policy, policy and lobbying (political dimension), overview of methods of policy analysis applied to the field of energy policy in the sub-region. Students would be enabled to design meaningful policy options and to analyse specific context in which policy decisions are made, role playing. Examples of energy policy documents in Nigeria and across Africa.

ACE 721 Advanced Thermodynamics III (3 Credit Hours)

Equilibrium. First law. Second law. State principle, Zeroth law. Criteria for equilibrium.

Temperature, Entropy and Exergy Analysis, Exergetic (Second law) efficiency, Chemical Exergy. Maxwell Relations. Open systems. Phase rule. Systems of one and two components.

Idealized and real gases, mixtures, and solutions. Equations of state. Thermodynamic potentials.

Heats of formation. Chemical Reactions. Chemical equilibrium and combustion in complex reacting systems. Frozen states in gas dissociation. Real gas dynamic applications. Emission of pollutants.

Statistical thermodynamics: Systems and ensembles. Third law. Kinetic theory. Maxwell’s transfer equation. Thermodynamics equilibrium and viscous, heat conducting gases. Boltzmann statistics, quantum statistics. Dilute gas properties.

ACE 625 Power System Analysis I (3 Credit Hours)

Power Flow Problems – numerical methods for solution of AC and DC models of the power system. Analysis of faulted power system - balanced and unbalanced faults. Symmetrical components, sequence impedances of power system components – transmission lines, series and shunt faults, simultaneous faults. Power System Stability – Analysis of steady state stability of simple and complex power system.

ACE 621 Advanced Thermodynamics I (3 Credit Hours)

Equilibrium. First law. Second law. State principle, Zeroth law. Criteria for equilibrium.

Temperature, Entropy and Exergy Analysis, Exergetic (Second law) efficiency, Chemical

Exergy. Maxwell Relations. Open systems. Phase rule. Systems of one and two components.

Idealized and real gases, mixtures, and solutions. Equations of state. Thermodynamic potentials.

Heats of formation. Chemical Reactions. Chemical equilibrium and combustion in complex

reacting systems. Frozen states in gas dissociation. Real gas dynamic applications. Emission of

pollutants.


Courses