NATIONALLY RECOGNISED AND ACCREDITED FORENSIC SCIENCE COURSE Level Three (advanced), awarding 3 credits. DUAL ACCREDITATION: Awarding Body: Open College Network (OCN Credit4Learning) Awarding Body: CPD (21 CPD Points) A modular "hybrid" forensic science course - eLearning (online) theory and one full day classroom based practical training (Crime Scene Investigations). The practical day covers a wide range of CSI techniques with "hands-on" practical training. On completion awards an OCN Nationally Recognised and Accredited Certificate in Forensic Science. This course is additionally CPD Accredited and also awards 21 CPD points on completion. PART 1 - THEORY Complete this part of your course online (eLearning Course) in the comfort of your own home or workplace. Please allow approx. 6-8 hours to complete the elearning modules. You do not need to complete Part 1 in one single "sitting” and can log on/off as many times as you wish and when convenient to you. You must complete both parts 1 and 2 to successfully pass this course. PART 2 - CLASSROOM Attend your forensic science practical day in the classroom, covering a number of key CSI investigative processes and procedures. You will develop your crime scene investigator skills with "hands-on" training in a classroom environment at the training location you have selected. Please note that we will provide protective clothing (disposable aprons), goggles and gloves. As you will be participating in a range of forensic activities we would suggest you wear easy clothing, short-sleeved top and closed-toe shoes. You can complete Part 1 before or after comleting Part 2. DOWNLOAD A COURSE ITINERARY HERE Course Itinerary M01 - Overview and Historical Background: A look at definitions, historical perspective highlighting major forensic advancements covering since early times, the beginning of modern forensics including the advent of fingerprinting, toxicology and DNA, and how DNA solved the first case (a double murder). Understanding the services of Forensic Labs and the major disciplines. M02 - Observational Skills Crime Scene Investigation & Recording Examination of the crime scene, photography, videography, sketch recording principles, using a CAD package. M03 - Forensic Pathology Understanding the job role, working within hospitals, mortuaries, the pathological processes and manner of death. M04 - Forensic Anthropology How does forensic anthropology help forensic scientists? Using physical markers present on a skeleton to determine age, sex, stature, and race. Bone anatomy and stages of development from foetal to elderly individual. Differentiating male and female: skull, pelvis, femur and humerus. M05 - Forensic Entomology How entomologists determine time of death as well as advanced investigations involving abuse and neglect. The life cycle of the blowfly and environmental influences. Using insect gut DNA to help solve crimes. CS01 - Case Study - Forensic Entomology - The Jigsaw Murders M06 - Forensic Serology Understanding presumptive tests and confirmatory tests. Tests in detail - processes and methods with options for: Blood, Saliva, Semen, Urine. M07 - Using the Microscope Correct procedures for using the light microscope. A look at the electron microscope and scanning probe microscope and their applications in forensic science. Detailed process guide including mounting slides.
Java training course description A comprehensive introduction of the Java language and environment. It is important to note that the course will assume that the delegates are already familiar with the C language as this enables more advanced features of the Java language to be covered in the course. The course will also give an overview of areas related to programming in Java. What will you learn Describe the Java architecture. Write Java applets and applications. Debug Java programs. Examine existing code and determine its function. Use multimedia extensions, the awt, multithreading, exceptions within Java Java training course details Who will benefit: Those wishing to program in Java. Prerequisites: Complete C programming Duration 5 days Java training course contents Review of UNIX fundamentals What is Java? What Java is, history of Java, reasons for success. The Java Virtual Machine, Bytecodes, getting up and running with Java, Java resources. Simple Java applications. C features in Java Java data structures, Java flow control, differences from C, arrays, strings and packages. OO features in Java Java classes and objects, inheritance, overloading, packages. Differences from C++. Java applets Applications vs. applets, HTML, the applet tag, applet methods, life cycle, testing and debugging. Multimedia applets Images, sounds, fonts, colours and animation. Java products The JDK in detail, other development environments. Javabeans and JDBC overviews. Abstract Window Toolkit JFC and Swing versus AWT. Event handling (JDK 1.1), GUIs, panels, buttons, lists, scrollbars, text areas, frames⦠Exception handling and multithreading Handling exceptions. Starting, pausing, stopping threads, producers, consumers, monitoring. More standard classes Java file I/O, Streams, The system class. The networking model, java.net classes. Security and Java Types of attack, the security manager, craplets, securing the network. Integrating legacy code with Java
Intro to containers training course description This course looks at the technologies of containers and microservices. The course starts with a look at what containers are, moving onto working with containers. Networking containers and container orchestration is then studied. The course finishes with monitoring containers with Prometheus and other systems. Hands on sessions are used to reinforce the theory rather than teach specific products, although Docker and Kubernetes are used. What will you learn Use containers. Build containers. Orchestrate containers. Evaluate container technologies. Intro to containers training course details Who will benefit: Those wishing to work with containers. Prerequisites: Introduction to virtualization. Duration 2 days Intro to containers training course contents What are containers? Virtualization, VMs, What are containers? What are microservices? Machine containers, application containers. Benefits. Container runtime tools Docker, LXC, Windows containers. Architecture, components. Hands on Installing Docker client and server. Working with containers Docker workflow, Docker images, Docker containers, Dockerfile, Building, running, storing images. Creating containers. Starting, stopping and controlling containers. Public repositories, private registries. Hands on Exploring containers. Microservices What are microservices? Modular architecture, IPC. Hands on Persistence and containers. Networking containers Linking, no networking, host, bridge. The container Network Interface. Hands on Container networking Container orchestration engines Docker swarm: Nodes, services, tasks. Apache Mesos: Mesos master, agents, frameworks. Kubernetes: Kubectl, master node, worker nodes. Openstack: Architecture, containers in OpenStack. Amazon ECS: Architecture, how it works. Hands on Setup and access a Kubernetes cluster. Managing containers Monitoring, logging, collecting metrics, cluster monitoring tools: Heapster. Hands on Using Prometheus with Kubernetes.
This course covers import documentation and procedures, commercial considerations, the importance of your purchase order, calculating VAT and duty, and how to reduce import customs clearance delays.
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