About this Virtual Instructor Led Training (VILT) Hydrogen will play an increasingly critical role in the future of energy system as it moves forward to supplement and potentially replace fossil fuels in the long run. Offshore wind offers a clean and sustainable renewable resource for green hydrogen production. However, it can also be volatile and presents inherent risks that need to be managed. Even though offshore production of hydrogen has yet to achieve a high state of maturity, many current projects are already dealing with the conditions and effects of offshore production of hydrogen and are grappling with the technological requirements and necessary gas transportation with grid integration. This 2 half-day Virtual Instructor Lead Training (VILT) course will examine the technological options for on-site production of hydrogen by electrolysis (onshore or offshore directly at the platform) as well as the transport of hydrogen (pipeline or ship). This VILT course will also explore the economic considerations and the outlook on future market opportunities. There will be exercises for the participants to work on over the two half-days. This course is delivered in partnership with Fraunhofer IEE. Training Objectives By the end of this VILT course, participants will be able to: Understand the technological attributes and options for green hydrogen production based on electricity from offshore wind. Explore the associated economic analysis for offshore wind hydrogen production, including CAPEX, OPEX, LCOE and LCOH Identify the critical infrastructure and technical configuration required for offshore green hydrogen including transportation networks and grid connectivity Learn from recent findings from current Research & Development projects concerning the differences between onshore and offshore hydrogen production. Target Audience This VILT course is intended: Renewable energy developers and operators Offshore oil & gas operators Energy transport and marine operators Energy policy makers and regulators IPPs and power utilities Training Methods The VILT course will be delivered online in 2 half-day sessions comprising 4 hours per day, including time for lectures, discussion, quizzes and short classroom exercises. Course Duration: 2 half-day sessions, 4 hours per session (8 hours in total). Trainer Trainer 1: Your expert course leader is Director of Energy Process Technology Division at the Fraunhofer Institute for Energy Economics and Energy System Technology, IEE. The research activities of the division link the areas of energy conversion processes and control engineering. The application fields covered are renewable energy technologies, energy storage systems and power to gas with a strong focus on green hydrogen. From 2006 - 2007, he worked as a research analyst of the German Advisory Council on Global Change, WBGU, Berlin. He has extensive training experience from Bachelor and Master courses at different universities as well as in the context of international training activities - recently on hydrogen and PtX for partners in the MENA region and South America. He holds a University degree (Diploma) in Physics, University of Karlsruhe (KIT). Trainer 2: Your expert course leader is Deputy Head of Energy Storage Department at Fraunhofer IEE. Prior to this, he was the director of the Grid Integration Department at SMA Solar Technology AG, one of the world's largest manufacturers of PV power converters. Before joining SMA, he was manager of the Front Office System Planning at Amprion GmbH (formerly RWE TSO), one of the four German transmission system operators. He holds a Degree of Electrical Engineering from the University of Kassel, Germany. In 2003, he finished his Ph.D. (Dr.-Ing.) on the topic of wind power forecasting at the Institute of Solar Energy Supply Technology (now known as Fraunhofer IEE) in Kassel. In 2004, he started his career at RWE TSO with a main focus on wind power integration and congestion management. He is Chairman of the IEC SC 8A 'Grid Integration of Large-capacity Renewable Energy (RE) Generation' and has published several papers about grid integration of renewable energy source and forecasting systems on books, magazines, international conferences and workshops. Trainer 3: Your expert course leader is Deputy Director of the Energy Process Technology division and Head of the Renewable Gases and Bio Energy Department at Fraunhofer IEE. His work is mainly focused on the integration of renewable gases and bioenergy systems into the energy supply structures. He has been working in this field since more than 20 years. He is a university lecturer in national and international master courses. He is member of the scientific advisory council of the European Biogas Association, member of the steering committee of the Association for Technology and Structures in Agriculture, member of the International Advisory Committee (ISAC) of the European Biomass Conference and member of the scientific committees of national bioenergy conferences. He studied mechanical engineering at the University of Darmstadt, Germany. He received his Doctoral degree on the topic of aerothermodynamics of gas turbine combustion chambers. He started his career in renewable energies in 2001, with the topic of biogas fired micro gas turbines. Trainer 4: Your expert course leader has an M. Sc. and she joined Fraunhofer IEE in 2018. In the Division of Energy Process Technology, she is currently working as a Research Associate on various projects related to techno-economic analysis of international PtX projects and advises KfW Development Bank on PtX projects in North Africa. Her focus is on the calculation of electricity, hydrogen and derivative production costs (LCOE, LCOH, LCOA, etc) based on various methods of dynamic investment costing. She also supervises the development of models that simulate different PtX plant configurations to analyze the influence of different parameters on the cost of the final product, and to find the configuration that gives the lowest production cost. She received her Bachelor's degree in Industrial Engineering at the HAWK in Göttingen and her Master's degree in renewable energy and energy efficiency at the University of Kassel. POST TRAINING COACHING SUPPORT (OPTIONAL) To further optimise your learning experience from our courses, we also offer individualized 'One to One' coaching support for 2 hours post training. We can help improve your competence in your chosen area of interest, based on your learning needs and available hours. This is a great opportunity to improve your capability and confidence in a particular area of expertise. It will be delivered over a secure video conference call by one of our senior trainers. They will work with you to create a tailor-made coaching program that will help you achieve your goals faster. Request for further information about post training coaching support and fees applicable for this. Accreditions And Affliations
Complete Python training course description Python is an agile, robust, expressive, fully objectoriented, extensible, and scalable programming language. It combines the power of compiled languages with the simplicity and rapid development of scripting languages. This course covers Python from the very basics of 'hello world!' through to object oriented programming and advanced topics such as multi threading. Hands on follows all the major sections in order to reinforce the theory. What will you learn Read Python programs. Write Python programs. Debug Python programs. Use Python's objects and memory model as well as its OOP features. Complete Python programming training course details Who will benefit: Anyone wishing to learn Python. Prerequisites: None. Duration 5 days Complete Python programming training course contents Welcome to Python: What is Python? Origins, features. Downloading and installing Python, Python manuals, comparing Python, other implementations. Getting started: Program output, the print statement, "hello world!", Program input, raw_input(), comments, operators, variables and assignment, numbers, strings, lists and tuples, dictionaries, indentation, if statement, while Loop, for loop. range(), list comprehensions. Files, open() and file() built-in functions. Errors and exceptions. Functions, Classes, Modules, useful functions. Python basics: Statements and syntax, variable assignment, identifiers, basic style guidelines, memory management, First Python programs, Related modules/developer tools. Python Objects: Other built-in types, Internal Types, Standard type operators, Standard type built-in functions, Categorizing standard types, Unsupported types. Numbers: Integers, Double precision floating point numbers, Complex numbers, Operators, Built-in and factory functions, Other numeric types. Sequences: strings, lists, and tuples: Sequences, Strings, Strings and operators, String-only operators, Built-in functions, String built-in methods, Special features of strings, Unicode, Summary of string highlights, Lists, Operators, Built-in functions, List type built-in methods, Special features of lists, Tuples, Tuple operators and built-in functions, Tuples special features, Copying Python objects and shallow and deep copies. Mapping and set types: Mapping Type: dictionaries and operators, Mapping type built-in and factory functions, Mapping type built-in methods, Dictionary keys, Set types, Set type operators, Built-in functions, Set type built-in methods. Conditionals and loops: If, else and elif statements, Conditional expressions, while, for, break, continue and pass statements, else statement . . . take two, Iterators and iter(), List comprehensions, Generator expressions. Files and input/output: File objects, File built-in functions [open() and file()], File built-in methods and attributes, Standard files, Command-line arguments, File system, File execution, Persistent storage modules. Errors and exceptions: What are exceptions? Detecting and handling exceptions, Context management, Exceptions as strings, Raising exceptions, Assertions, Standard exceptions, Creating Exceptions, Why exceptions, Exceptions and the sys module. Functions: Calling, creating and passing functions, formal arguments, variable-length arguments, functional programming, Variable scope, recursion, generators. Modules: Modules and files, Namespaces, Importing modules, Module import features, Module built-in functions, Packages, Other features of modules. Object-Oriented Programming (OOP): Classes, Class attributes, Instances, Instance attributes, Binding and method invocation, Static methods and class methods, Composition, Sub-classing and derivation, Inheritance, Built-in functions for classes, and other objects, Customizing classes with special methods, Privacy, Delegation, Advanced features of new-style classes (Python 2.2+), Related modules and documentation. Execution environment: Callable and code Objects, Executable object statements and built-in functions, Executing other programs. 'Restricted' and 'Terminating' execution, operating system interface. Regular expressions: Special symbols and characters, REs and Python, Regular expressions example. Network programming: Sockets: communication endpoints, Network programming in Python, SocketServer module, Twisted framework introduction. Internet client programming: What are internet clients? Transferring files, Network news, E-mail. Multithreaded Programming: Threads and processes Python, threads, and the global interpreter lock, The thread and threading Modules. GUI programming: Tkinter and Python programming, Tkinter Examples, Brief tour of other GUIs. Web programming: Web surfing with Python: creating simple web clients, Advanced Web clients, CGI: helping web servers process client data, Building CGI applications, Using Unicode with CGI, Advanced CGI, Web (HTTP) Servers. Database programming: Python database application programmer's interface (DB-API), ORMs. Miscellaneous Extending Python by writing extensions, Web Services, programming MS Office with Win32 COM, Python and Java programming with Jython.
Endometriosis masterclass. Two day practical theory and hands on course on all aspects of endometriosis management. Expert faculty and live surgical cases.
Satellite communications training course description This course starts by recaping some of the essential satellite knowledge required and proceeds to explore the deeper aspects of satellite communications, including hardware, communications and error control coding. What will you learn Explain how satellite communications work. Explain how RF works Explain the architecture of satellite systems. Use spectrum analysers. Satellite communications training course details Who will benefit: Anyone working with satellite systems. Prerequisites: None. Duration 3 days Satellite communications training course contents Basic Principles of Satellite Communications GEO, MEO and LEO satellites. Launching and orbits. Frequency bands and polarisation. Satellite footprints. Multibeam coverage. Power spectra. Link budgets. Modulation and coding. Access technologies. Earth station components. Space segment components. Satellite system services. Satellite operators. Radio frequency propagation Electromagnetic waves principles and generation. Reception of the EM wave. Space wave, sky wave and surface wave theory. The isotropic radiator. Types of antennae and their basic properties. Polar diagrams. International frequency allocation. Spectrum management and utilisation. Radio wave propagation. Line of sight propagation. Propagation for satellite comms. Free space path loss. Path attenuation. Noise and Interference. Power and its measurement. Satellite antennae and other hardware Power flux density. Effective aperture. Horn antennae. Parabolic reflector. Offset feed. Cassegrain and Gregorian antennae. Antenna feed systems - Horn, TMC, OMJ and polarizer. Antenna steering and mount systems. Array antennae. LNA, LNB, LNC. Microwave tubes - TWT and Klystron. Polarizers. Earth and Space Segments and the link Earth station antennae. Transponders. Antennae sub systems. Power supplies. Link budgets. System noise. System losses. Interference. Satellite switching. Ground Communications Equipment Baseband signals. Analogue and Digital systems. Overview of modulation - AM, FM, PM. Digital Modulation. Frequency conversion -up and down conversion. Filters, mixers, local oscillators, IF amplifiers and group delay equalisers. Access methods - single and multiple access systems. Data networks. Television transmission - analogue and digital. Digital signal compression. MPEG processing. Satellite Navigation Longitude, latitude, altitude, GPS, How GPS works, timing, alternatives to GPS. Mobile satellite services Voice and Phones, BGAN, TV, GPS to program aerial, VSAT. Error Control Coding The need for coding. Linear block codes. Cyclic codes. Convolution codes. Interleaving and concatenated codes. Coding gain. Turbo codes. Test and measurement Theory and practice of Spectrum Analysers.
About this Virtual Instructor Led Training (VILT) This 5 half-day Virtual Instructor Led Training (VILT) course will assist energy professionals in the planning and operation of a power system from renewable energy sources. The VILT course will discuss key operating requirements for an integrated, reliable and stable power system. The unique characteristics of renewable energy are discussed from a local, consumer centric and system perspective, bringing to life the ever-changing paradigm in delivering energy to customers. The course will explore the technical challenges associated with interconnecting and integrating hundreds of gigawatts of solar power onto the electricity grid in a safe and reliable way. With references to international case studies, the VILT course will also demonstrate the state of the art methodologies used in forecasting solar power. The flexibility of the invertor-based resources will facilitate higher penetrations of photovoltaic, battery electricity storage systems and demand response while co-optimizing customer resources. The contribution of inverter-based generators that provides voltage support, frequency response and regulation (droop response), reactive power and power quality with a high level of accuracy and fast response will be addressed. Furthermore, this VILT course will also describe how microgrids' controllers can allow for a fully automated energy management. Distributed energy resources are analyzed in detail from a technical and financial aspect and will address the best known cost based methodologies such as project financing and cost recovery. Training Objectives Upon completion of this VILT course, participants will be able to: Learn about renewable energy resources, their applications and methods of analysis of renewable energy issues. Review the operational flexibility of renewable energy at grid level, distribution network and grid edge devices. Understand and analyze energy performance from main renewable energy systems. Get equipped on the insights into forecasting models for solar energy. Predict solar generation from weather forecasts using machine learning. Explore operational aspects of a complex power system with variability from both the supply & demand sides. Manage the impact of the design of a Power Purchase Agreement (PPA) on the power system operation. Target Audience Engineers, planners and operations professionals from the following organizations: Energy aggregators who would like to understand the system operations of renewable energy power plants Renewable energy power system operator Energy regulatory agencies who aim to derive strategies and plans based on the feedback obtained from the power system operations Course Level Basic or Foundation Training Methods The VILT course will be delivered online in 5 half-day sessions comprising 4 hours per day, including time for lectures, discussion, quizzes and short classroom exercises. Course Duration: 5 half-day sessions, 4 hours per session (20 hours in total). Trainer Your first expert course leader is a Utility Executive with extensive global experience in power system operation and planning, energy markets, enterprise risk and regulatory oversight. She consults on energy markets integrating renewable resources from planning to operation. She led complex projects in operations and conducted long term planning studies to support planning and operational reliability standards. Specializing in Smart Grids, Operational flexibilities, Renewable generation, Reliability, Financial Engineering, Energy Markets and Power System Integration, she was recently engaged by the Inter-American Development Bank/MHI in Guyana. She was the Operations Expert in the regulatory assessment in Oman. She is a registered member of the Professional Engineers of Ontario, Canada. She is also a contributing member to the IEEE Standards Association, WG Blockchain P2418.5. With over 25 years with Ontario Power Generation (Revenue $1.2 Billion CAD, I/S 16 GW), she served as Canadian representative in CIGRE, committee member in NSERC (Natural Sciences and Engineering Research Council of Canada), and Senior Member IEEE and Elsevier since the 90ties. Our key expert chaired international conferences, lectured on several continents, published a book on Reliability and Security of Nuclear Power Plants, contributed to IEEE and PMAPS and published in the Ontario Journal for Public Policy, Canada. She delivered seminars organized by the Power Engineering Society, IEEE plus seminars to power companies worldwide, including Oman, Thailand, Saudi Arabia, Malaysia, Indonesia, Portugal, South Africa, Japan, Romania, and Guyana. Your second expert course leader is the co-founder and Director of Research at Xesto Inc. Xesto is a spatial computing AI startup based in Toronto, Canada and it has been voted as Toronto's Best Tech Startup 2019 and was named one of the top 10 'Canadian AI Startups to Watch' as well as one of 6th International finalists for the VW Siemens Startup Challenge, resulting in a partnership. His latest app Xesto-Fit demonstrates how advanced AI and machine learning is applied to the e-commerce industry, as a result of which Xesto has been recently featured in TechCrunch. He specializes in both applied and theoretical machine learning and has extensive experience in both industrial and academic research. He is specialized in Artificial Intelligence with multiple industrial applications. At Xesto, he leads projects that focus on applying cutting edge research at the intersection of spatial analysis, differential geometry, optimization of deep neural networks, and statistics to build scalable rigorous and real time performing systems that will change the way humans interact with technology. In addition, he is a Ph.D candidate in the Mathematics department at UofT, focusing on applied mathematics. His academic research interests are in applying advanced mathematical methods to the computational and statistical sciences. He earned a Bachelor's and MSc in Mathematics, both at the University of Toronto. Having presented at research seminars as well as instructing engineers on various levels, he has the ability to distill advanced theoretical concept to diverse audiences on all levels. In addition to research, our key expert is also an avid traveler and plays the violin. POST TRAINING COACHING SUPPORT (OPTIONAL) To further optimise your learning experience from our courses, we also offer individualized 'One to One' coaching support for 2 hours post training. We can help improve your competence in your chosen area of interest, based on your learning needs and available hours. This is a great opportunity to improve your capability and confidence in a particular area of expertise. It will be delivered over a secure video conference call by one of our senior trainers. They will work with you to create a tailor-made coaching program that will help you achieve your goals faster. Request for further information about post training coaching support and fees applicable for this. Accreditions And Affliations
LTE Architecture and Protocols course description This course provides a comprehensive tour of the LTE architecture along with services provided and the protocols used. What will you learn Describe the overall architecture of LTE. Explain the information flows through LTE. Describe the LTE security. Describe LTE mobility management. Recognise the next steps for LTE. LTE Architecture and Protocols course details Who will benefit: Anyone working with LTE. Prerequisites: Mobile communications demystified Duration 3 days LTE Architecture and Protocols course contents Introduction History, LTE key features. The 4G ITU process. The LTE 3GPP specifications. Specifications. System Architecture LTE hardware architecture. UE architecture and capabilities. E-UTRAN and eNB. EPC, MME functions, SGW, PGW and PCRF. System interfaces and protocol stacks. Example information flows. Dedicated and default bearers. EMM, ECM, RRC state diagrams. Radio transmission and reception OFDMA, SC-FDMA, MIMO antennas. Air interface protocol stack. Logical, transport and physical channels. Frame and slot structure, the resource grid. Resource element mapping of the physical channels and signals. Cell acquisition, data transmission and random access. MAC, RLC, PDCP protocols. LTE spectrum allocation. Power-on procedures Network and cell selection. RRC connection establishment. Attach procedure, including IP address allocation and default bearer activation. LTE detach procedure. Security in LTE networks LTE security features, identity confidentiality, ciphering and integrity protection. Architecture of network access security in LTE. Secure key hierarchy. Authentication and key agreement procedure. Security mode command procedure. Network domain security architecture. Security associations using IKE and IPSec. Mobility management RRC_IDLE, RRC_CONNECTED. Cell reselection, tracking area updates. Measurement reporting. X2 and S1 based handovers. Interoperation with UMTS, GSM and non-3GPP technologies such as cdma2000. QoS, policy control and charging QoS in LTE, EPS bearers, service data flows and packet flows. The architecture and signalling procedures for policy and charging control. Data transport using GPRS, differentiated services and MPLS. Offline and online charging in LTE. Delivery of voice and text messages over LTE Difficulties and solutions for Voice over LTE. Architecture and call setup procedures for circuit switched fallback. Architecture, protocols and call setup procedures in IP multimedia subsystem. Enhancements in release 9 LTE location services. Multimedia broadcast / multicast service and MBSFN. Cell selection, commercial mobile alert service. LTE Advanced and release 10 Impact of carrier aggregation on LTE air interface. Enhanced MIMO processing on uplink and downlink. Relaying. Release 11 and beyond. OAM and self organising networks Operation, administration, maintenance and provisioning for LTE. Self-configuration of base station parameters. Fractional frequency re-use, inter-cell interference co-ordination. Self-optimisation of base station procedures. Self-healing to detect and recover from faults.
LPIC-1 training course description This five day hands on course provides a comprehensive coverage of core Linux administration tasks. The course covers generic Linux and is available for any Linux distribution required. It closely follows the LPIC curriculum allowing delegates to achieve the relevant certification if required. What will you learn Administer & configure Linux systems. Maintain Linux by handling disk space and taking regular backups. Manage software packages. Perform basic troubleshooting. Maintain a secure Linux system. Describe the organisation and implementation of the filesystem. LPIC-1 training course details Who will benefit: System administrators. Network administrators. Prerequisites: Linux fundamentals (LPI 010) Duration 5 days LPIC-1 training course contents Part I Exam 101 Exploring Linux Command-Line Tools Using a Shell, Shell Configuration, Environment Variables, Getting Help, Streams, Redirection and Pipes, Processing Text Using Filters, Manipulating files, Regular Expressions, grep,sed. Managing Software Package Concepts, Comparison of package formats, RPM, rpm Commands, Yum, Debian Packages, dpkg, apt-cache, apt-get, dselect, aptitude, Converting Between Package Formats, Dependencies and Conflicts, Startup Script Problems, Shared Libraries, Library Management, Managing Processes, the Kernel: The First Process, Process Lists, Foreground & Background Processes, Process Priorities, Killing Processes. Configuring Hardware Configuring Firmware and Hardware, IRQs, I/O Addresses, DMA Addresses, Boot Disks, Coldplug and Hotplug Devices, Configuring Expansion Cards and PCI Cards, Kernel Modules, USB Devices, Linux USB Drivers, Configuring Hard Disks, Partitioning Systems, LVM, Common Layouts, Creating Partitions and Filesystems, Maintaining Filesystem Health, Tuning, Journals, Checking Filesystems, Monitoring Disk Use, Mounting and Unmounting Filesystems. Managing Files File Management Commands, File Naming and Wildcards, File Archiving, Links, Directory Commands, File Ownership and Group, File access control, Permissions, chmod, Defaults, File Attributes, Disk Quotas, Enabling and setting Quotas, Locating Files, The FHS. Booting Linux and Editing Files Installing Boot Loaders, GRUB Legacy, GRUB 2, Alternative Boot Loaders, the Boot Process, Boot Messages, Runlevels and the Initialization Process, Runlevel Functions, Runlevel Services, Alternative Boot Systems , Upstart, system. Part II Exam 102 265 Securing the X Window System Localization, Configuring Basic X Features, X Server Options, Methods of Configuring X, X Display Information, X Fonts, The X GUI Login System, XDMCP Server, Using X for Remote Access, Screen Display Settings, Setting Your Time Zone, Your Locale, Configuring Printing, Conceptualizing the Linux Printing Architecture, Understanding PostScript and Ghostscript, Running a Printing System, Configuring CUPS, Monitoring and Controlling the Print Queue. Administering the System Managing Users and Groups, Tuning User and System Environments, Using System Log Files, Understanding syslogd , Setting Logging Options, Manually Logging Data, Rotating Log Files, Reviewing Log File Contents, Maintaining the System Time, Linux Time Concepts, Manually Setting the Time, Using NTP, Running Jobs in the Future, Understanding the Role of cron, Creating System cron Jobs, Creating User cron Jobs, Using anacron, Using at. Configuring Basic Networking TCP/IP, Network Hardware, Network Addresses, Hostnames, Network Ports, Configuring Linux for a Local Network, Configuring with DHCP, Static IP Address, Configuring Routing, Using GUI Configuration Tools, ifup and ifdown, Diagnosing Network Connections, Testing Connectivity, Tracing a Route, Checking Network Status , Examining Network Traffic, Additional Tools. Writing Scripts, Configuring Email, and Using Databases The Shell Environment, Aliases, Shell Configuration Files, Writing Scripts, Commands, Variables, Conditional Expressions, Loops, Functions, Managing Email, Choosing Email Software, Securing Your Email Server, Managing Data with SQL, Picking a SQL Package, Understanding SQL Basics, Using MySQL Securing Your System Administering Network Security, Super Server Restrictions, Disabling Unused Servers, Administering Local Security, Securing Passwords, Limiting root Access, Setting Login, Process, SUID/SGID Files, Configuring SSH, Using GPG, Generating, Importing and Revoking Keys, Encrypting and Decrypting Data, Signing Messages and Verifying Signatures.
UNIX system administration training course description This five day hands on course provides a comprehensive coverage of core UNIX administration tasks. The course covers generic UNIX and is available for any UNIX distribution required. What will you learn Administer & configure UNIX systems. Maintain UNIX by handling disk space and taking regular backups. Manage software packages. Perform basic troubleshooting. Maintain a secure UNIX system. Describe the organisation and implementation of the filesystem. UNIX system administration training course details Who will benefit: System administrators Network administrators. Prerequisites: UNIX fundamentals. Duration 5 days UNIX system administration training course contents Part 1 Exploring UNIX command-line tools Using a shell, shell configuration, environment variables, getting help, streams, redirection and pipes, processing text using filters, manipulating files, regular expressions, grep, sed. Managing software Package concepts, comparison of package formats, RPM, rpm commands, yum, dpkg, apt-cache, apt-get, dselect, aptitude, converting between package formats, dependencies and conflicts, startup script problems, shared libraries, library management, managing processes, the kernel: the first process, process lists, foreground & background processes, process priorities, killing processes. Configuring hardware Configuring firmware and hardware, RQs, I/O addresses, DMA addresses, Boot disks, coldplug and hotplug devices, configuring expansion cards and PCI cards, kernel modules, USB devices, UNIX USB crivers, configuring hard disks, partitioning systems, LVM, common layouts, creating partitions and filesystems, maintaining filesystem health, tuning, journals, checking filesystems, monitoring disk use, mounting and unmounting filesystems. Managing files File management commands, file naming and wildcards, file archiving, links, directory commands, file ownership and group, file access control, permissions, chmod, defaults, file attributes, disk quotas, enabling and setting quotas, locating files, the FHS. Booting UNIX and editing files Installing boot loaders, GRUB legacy, GRUB 2, alternative boot loaders, the boot process, boot messages, runlevels and the initialization process, runlevel functions, runlevel services, alternative boot systems, upstart, system. Part 2 Configuring the X window system Localization, configuring basic X features, X server options, methods of configuring X, X display information, X fonts, the X GUI login system, XDMCP server, using X for remote access, screen display settings, setting your time zone, your locale, configuring printing, conceptualizing the UNIX printing architecture, understanding PostScript and ghostscript, running a printing system, configuring CUPS, monitoring and controlling the print queue. Administering the system Managing users and groups, tuning user and system environments, using system log files, understanding syslogd, setting logging options, manually logging data, rotating l;og files, reviewing log file contents, maintaining the system time, UNIX time concepts, manually setting the time, using NTP, running jobs in the future, understanding the role of cron, creating system cron jobs, creating user cron jobs, using anacron, using at. Configuring basic networking TCP/IP, network hardware, network addresses, hostnames, network ports, configuring UNIX for a local network, configuring with DHCP, static IP address, configuring routing, using GUI configuration tools, ifup and ifdown, diagnosing network connections, testing connectivity, tracing a route, checking network status , examining network traffic, additional tools. Writing scripts, configuring email, and using databases The shell environment, aliases, shell configuration files, writing scripts, commands, variables, conditional expressions, loops, functions, managing email, choosing email software, securing your email server, managing data with SQL, picking a SQL package, understanding SQL basics, using MySQL. Securing your system Administering network security, super server restrictions, disabling unused servers, administering local security, securing passwords, limiting root access, setting login, process, SUID/SGID files, configuring SSH, using GPG, generating, importing and revoking keys, encrypting and decrypting data, signing messages and verifying signatures.
Overview Effective decision-making requires the adoption of decision approaches that fit the complexities of these situations and the efficient management of decision-making processes. It also requires the ability to think strategically in highly interactive markets and acute insights into the psychology behind people's behaviour. Objectives Develop critical thinking skills, sharpening your intuition in the face of risk and uncertainty Learn ways to discover, manage, mitigate and avoid decision-making traps Learn to leverage the power of 'nudges' - a light-touch way to influence human behaviour and improve decision-making Boost your ability to build high-performing teams by understanding what conditions enable teams to make better decisions than individuals Become a more strategic leader and decision-maker by understanding the long-term impact your decisions can have on your organisation
Overview With the major responsibility of managing finances, managers have also responsibilities to write and control budgets. They face a number of decisions that need planning and forecasting, especially preparing budgets. Using examples and exercises from the gas and oil industry, this course is designed to break down all sorts of financial restrictions in an informative yet engaging style. It will provide the necessary skills to develop efficient strategic planning, forecasting and budgeting processes. The main aim of the training is to enable the participants to understand the framework that builds strategies for annual budgets targeting efficient management and organisational performance. Our course will explain financial terms and budgeting tools in such a way that a financial professional or even a non-financial profession will be able to understand and relate to in their working environment. It will include a lot of examples, a budgeting format and case studies.