329 Algorithms courses

Voice over LTE training course description This course provides a basic understanding of the 3G LTE Air Interface, SAE, as well as Voice over LTE options and LTE Advanced features. Investigating the standards for the EPS , formulated by the 3GPP standards body, the course will set out to examine and explain the 4G environment from user equipment to border gateway and beyond. This course will ensure the delegate has a grasp of all aspects of the current global deployments, the next steps in upgrades and the promise of things to come. What will you learn Describe the complete EPC architecture. Explain the use of QoS within the air interface & core network. Explore the features of LTE advanced. Describe the various methods of supporting voice services with 3G LTE. Describe IMS structure and control entities. Explain an IMS session. Voice over LTE training course details Who will benefit: Any engineers who are assisting in the deployment of voice services within their LTE networks. Prerequisites: Intro to Data comms & networking Telecommunications Introduction Duration 3 days Voice over LTE training course contents 3GPP standards body Release 8 - Release 12, Supported and expected features. The EPC revisited EPC revisited 3G LTE & EPC Architecture, NB, MME, SGW, PDNGW, PCRF, Interworking capabilities, Protocol stack explored, NAS signalling, Default EPS bearer, Slot allocation algorithms, Scheduling algorithms, Quality of Service requirements, Dedicated EPS bearers. VoLTE deployment strategies Common networks everywhere, GSM/WCDMA view, CDMA view. VoLTE system architecture LTE radio, LTE Radio background, LTE radio architecture, Evolved packet core, EPC entities & functions, EPS mobility management, MS entities, Home subscriber server, Policy & charging rules function. VoLTE functionality Radio functionality, Bearers & schedulers, Mobility, Circuit switched fall back handover, Mobility from 2G/3G back to LTE, Power Saving Features, Positioning services, UE radio access capabilities for VoLTE users. EPC functionalities, LTE subscriber identification, PDN connectivity establishment, EPS dedicated bearer setup, IMS identification, IP multimedia identification module, Public user identity, Private user identity, Relationship between public & private identity, identification of users device, identification of network entities, identification of services, identification without ISIM. IMS service provisioning, Enforcement of allowed services, Service triggering information, Selection of the AS, AS behaviour, Service provisioning in action. VoLTE end-to-end & signalling VoLTE subscription & device configuration. EPS attach for CSFB/IMS VoIP & default bearer. IMS registration, Constructing the REGISTER request, From UE to P-CSCF, From P-CSCF to I-CSCF, From I-CSCF to S-CSCF, S-CSCF challenges the UE, UE's response to the challenge, Registration at the S-CSCF, The 200 OK response, Third-party registration to application servers, Subscription to registration event package, Re-registration & re-authentication, De-registration, Related standards. IMS VoIP session, Constructing the INVITE request, Routing, Media negotiation, Media resource reservation & policy control, Charging, Session release. Voice continuity, PS - PS intersystem handover, Single radio voice call continuity. IMS emergency session, PDN Connection setup for emergency session, Emergency registration, Emergency session. CS fallback for EPS call case, Architecture of CS fallback in EPS, Description of SGs interface, Idle mode signalling reduction, Idle mode vs active mode, CS fallback attachment, Mobile originating call using CSFB, Mobile terminating call using CSFB, Call unrelated CSFB procedures, Mobile terminating roaming retry & forwarding. VoLTE Messaging, Native IMS messages, SMS interworking, Multimedia messaging service. Unstructured supplementary services data simulation in IMS. IMS services VoLTE radio performance Coverage, Latency, Capacity. LTE advanced features Carrier aggregation, Coordinated mMulti-point Operation (CoMP), ICIC & eICIC, Relay node deployment & donor eNBs, Improved cell edge coverage, Reduced control plane latency, Heterogeneous networks, HeNB, security gateways, HeNB gateways.

This course will be mainly focusing on machine learning algorithms. Throughout this course, we are preparing our machine to make it ready for a prediction test.

Overview SEO help you define your most profitable focused audience and develop a bridge of communication that reach them directly, thereby positioning your product in the right and most efficient way. Using SEO skills targets increasing the number of visitors to a website and ensuring that the site appears high in ranking on the list of top page results returned by a search engine. SEO has become an increasingly sought-after skill for companies who want to keep track of their rankings in Google's organic search. To reach the customer nationally or internationally, SEO is the only way where we can reach a global market. It is very important to understand the techniques of SEO and how to use Digital Marketing in a more efficient way to reach every corner of the world.  This Specialized course will highlight the skills required to optimize website content for top SE Ranking. Through this course, you will learn the algorithms many search engines follow including Google Search. Specially designed with a lot of practical and live examples of advanced SEO techniques used by professionals you will gain a real-world skill to enhance your knowledge in Content Marketing, On-Off Page Optimization, followed by aligning SEO with overall business strategies. 

Computer Science GCSE Syllabus The GCSE Computer Science Tutor Syllabus is designed to provide tutors in England with a comprehensive framework for teaching the GCSE Computer Science curriculum effectively. This syllabus aims to equip tutors with the necessary knowledge and skills to support students in their understanding and application of core computer science concepts.  Module 1: Introduction to Computer Science - Overview of computer science and its relevance in today's world - Understanding the components of a computer system - Introduction to algorithms and problem-solving techniques - Exploration of programming languages and their uses Module 2: Computer Hardware - Understanding the main components of a computer system, including CPU, memory, and storage devices - Exploring input and output devices and their functionalities - Understanding the role of operating systems and software in computer systems Module 3: Software Development - Introduction to programming concepts and languages (e.g., Python or Java) - Understanding variables, data types, and operators - Building algorithms and logical reasoning skills - Introduction to flowcharts and pseudocode - Implementation of simple programs and debugging techniques Module 4: Data Representation - Understanding binary, hexadecimal, and denary number systems - Representation of text, images, and sound using binary - Introduction to data compression and encryption techniques Module 5: Computer Networks - Understanding the basics of computer networks, including LAN, WAN, and the Internet - Introduction to network topologies, protocols, and security - Exploring the impact of digital communication on society Module 6: Cybersecurity and Ethical Issues - Understanding the importance of cybersecurity and data protection - Introduction to common threats and vulnerabilities - Exploring ethical issues related to computer science, such as privacy and intellectual property rights Module 7: Algorithms and Programming Techniques - Advanced programming concepts, including conditionals, loops, and functions - Introduction to sorting and searching algorithms - Exploring data structures, such as arrays and lists Module 8: System Architecture - Understanding the structure and function of a CPU - Introduction to memory hierarchy and cache - Exploring the Von Neumann architecture and its limitations Module 9: Computational Thinking and Problem Solving - Advanced problem-solving techniques using computational thinking - Introduction to algorithms for complex problems - Exploring algorithmic efficiency and optimization techniques Module 10: Exam Preparation and Revision - Reviewing key concepts covered throughout the syllabus - Practicing past exam questions and providing guidance on exam techniques - Supporting students with exam preparation strategies Please note that the duration and depth of each module can vary depending on the level of expertise required and the specific needs of the learners. Additionally, it's important to adapt the curriculum to the learners' proficiency levels, whether they are A Level/GCSE students or adult learners with different experience levels.

Course Overview: Basic Life Support and CPR Training (BLS/CPR) In emergency situations, knowing how to administer Basic Life Support (BLS) and Cardio-Pulmonary Resuscitation (CPR) can be the difference between life and death. This comprehensive course is designed to equip individuals with the essential skills and knowledge required to respond effectively in emergencies where immediate action is crucial. Through a series of modules, participants will learn the fundamentals of BLS and CPR, including airway and breathing management, as well as key cardiac arrest algorithms. Module 1: Introduction to Basic Life Support This module provides a foundational understanding of Basic Life Support (BLS) principles and techniques. Participants will learn the importance of early recognition of emergencies, the role of bystanders in initiating care, and the key components of the Chain of Survival. Topics covered include scene safety assessment, activating emergency medical services (EMS), and initial assessment of the victim's condition. Module 2: Cardiopulmonary Resuscitation (CPR) In this module, participants will learn the proper techniques for performing Cardio-Pulmonary Resuscitation (CPR) on adults, children, and infants. Instruction includes hands-on practice with chest compressions, rescue breathing, and the use of automated external defibrillators (AEDs). Emphasis is placed on achieving adequate compression depth, rate, and allowing for full chest recoil to optimize circulation. Module 3: Airway Management Module 3 focuses on the critical aspect of maintaining an open airway to ensure effective resuscitation efforts. Participants will learn various methods for establishing and maintaining a patent airway, including head-tilt chin-lift and jaw-thrust maneuvers. Additionally, instruction on the use of adjuncts such as oral and nasal airways will be provided. Module 4: Breathing Management Proper breathing management is essential for ensuring adequate oxygenation and ventilation during resuscitation efforts. This module covers techniques for providing rescue breaths to victims who are not breathing adequately, including mouth-to-mouth and mouth-to-mask ventilation. Participants will also learn how to recognize signs of airway obstruction and intervene accordingly. Module 5: Cardiac Arrest Algorithms Module 5 introduces participants to standardized algorithms for managing cardiac arrest situations. Through case scenarios and interactive learning activities, participants will become familiar with the step-by-step approach to assessing and treating cardiac arrest victims. Emphasis is placed on teamwork, effective communication, and the importance of rapid intervention in improving outcomes. Conclusion: Upon completion of this course, participants will possess the knowledge and confidence to respond effectively in emergency situations requiring Basic Life Support (BLS) and Cardio-Pulmonary Resuscitation (CPR). Whether in a healthcare setting or out in the community, these essential skills can make a life-saving difference. Course Curriculum Module 1_ Introduction to Basic Life Support. Introduction to Basic Life Support. 00:00 Module 2_ Cardiopulmonary Resuscitation (CPR). Cardiopulmonary Resuscitation (CPR). 00:00 Module 3_ Airway Management. Airway Management. 00:00 Module 4_ Breathing Management. Breathing Management. 00:00 Module 5_ Cardiac Arrest Algorithms. Cardiac Arrest Algorithms. 00:00

The goal of this course is to use Python machine learning to create algorithms that you can use in the real world. You'll start with the basics of machine learning. You'll learn how to create, train, and optimize models and use these models in real-world applications.

Master Data Science skills using Python and real time project and go from Beginner to Super Advance level

Bioinformatics is a rapidly growing field that combines biology and computer science to analyze biological data. This course will introduce you to the fundamental concepts and tools of bioinformatics, and you will learn how to apply them to solve real-world problems in biology and medicine.

3 QLS Endorsed Diploma | QLS Hard Copy Certificate Included | 10 CPD Courses | Lifetime Access | 24/7 Tutor Support

This interactive course will help you to gain a solid understanding of cryptography. With the help of engaging activities and examples, you'll be familiarized with different security certificates and become confident in deploying PKI on Windows Servers.