Tribal Justice Agencies

    IA200 Intermediate Analytic Techniques

    This course addresses key objectives focused on training intelligence analysts working at or towards the intermediate-level (practitioner and/or experienced analyst). This course expands upon core analytic fundamentals covered in NW3C's FIAT, ISIA, and IWAB offerings. The course begins with an in-depth case study to illustrate the complexities and challenges of a major case scenario for intelligence analysts. The course then examines key concepts related to analytic thinking, cognitive biases, structured analytic techniques, and effective time and project management. Finally, the course concludes with a section on addressing analytic uncertainty in intelligence writing. With guidance from experienced experts, students gain hands-on experience in the course with a complex practical case scenario that will challenge students on both days of the course.

    Key concepts covered in this course include:
    *Identifying cognitive biases
    *Structured analytic techniques
    *Project and time management
    *Conveying uncertainty in intelligence writing

    IA105 Intelligence Writing and Briefing

    This course covers basic intelligence writing and briefing principles as well as methods for effective and clear intelligence sharing. Topics covered include creative and critical thinking, critical reading skills, source evaluation, privacy and civil rights, intelligence writing style and structure, and generating and presenting intelligence briefings. With guidance from experienced experts, students gain hands-on experience by working through data sets based on real cases to produce intelligence products. Instructors and peers provide feedback on briefings and reports produced and presented in class.

    *Foundational skills. Creative thinking. Critical thinking. Critical reading.
    *Information sources. Identify sources of intelligence information. Evaluate sources for validity and reliability.
    *Analytical reports. Develop a structured and actionable analytical report based on a data set given in class.
    *Privacy considerations. Ensure protection of privacy and civil rights while producing intelligence products.
    *Briefings. Construct and deliver an intelligence briefing based on a data set given in class.

    FC200 Intermediate Level Spreadsheeting Skills: Assessing and Organizing Data

    This intermediate spreadsheeting course uses Microsoft Excel to assess and organize data in an electronic format. The class is designed for learners who have experience using Excel and who want to increase their spreadsheeting knowledge and skills. Topics include text functions, absolute referencing, date and time functions, flash fill, handling formula errors, VLOOKUP, dynamic arrays, and data validation. The course combines live demonstrations, instructor-led exercises, and independent student exercises.

    FC201 Financial Records Investigative Skills

    This course builds on the concepts introduced in FC101 (FIPS) and FC105 (FREA), introducing investigators and prosecutors to emerging issues in financial crime. Topics include money laundering, analyzing large financial data sets, conducting effective interviews, and managing large amounts of financial evidence. This course consists of a mix of lecture, discussion, and hands-on exercises. Students conduct a mock investigation that includes interviews, data analysis, and the examination of various documents.

    *Money laundering. Methods of laundering money. Tracing illegal funds. Emerging issues. FinCEN.
    *Spreadsheeting skills. Spreadsheet architecture. Formulas and calculations. Pivot tables.
    *Working with financial data. Benfords law analysis. Disentangling commingled funds.
    *Hands-on experience. Work a mock financial case as part of an investigative team.

    IA200 Intermediate Analytic Techniques

    This course addresses key objectives focused on training intelligence analysts working at or towards the intermediate-level (practitioner and/or experienced analyst). This course expands upon core analytic fundamentals covered in NW3C's FIAT, ISIA, and IWAB offerings. The course begins with an in-depth case study to illustrate the complexities and challenges of a major case scenario for intelligence analysts. The course then examines key concepts related to analytic thinking, cognitive biases, structured analytic techniques, and effective time and project management. Finally, the course concludes with a section on addressing analytic uncertainty in intelligence writing. With guidance from experienced experts, students gain hands-on experience in the course with a complex practical case scenario that will challenge students on both days of the course.

    Key concepts covered in this course include:
    *Identifying cognitive biases
    *Structured analytic techniques
    *Project and time management
    *Conveying uncertainty in intelligence writing

    DF101 Basic Digital Forensic Analysis: Windows Acquisition

    This course provides the fundamental knowledge and skills required to acquire forensic backup images of commonly encountered forms of digital evidence (Microsoft Windows based computers and external storage devices) in a forensically sound manner. Presentations and hands-on practical exercises cover topics on storage media and how data is stored, the forensic acquisition process, tool validation, hardware and software write blockers, forensic backup image formats, and multiple forensic acquisition methods. Students will use third party tools, both free and commercial, that are currently used by practitioners in the field.

    FC101 Financial Investigations Practical Skills

    This course provides hands-on investigative training at a basic level. Students develop the practical skills, insight, and knowledge necessary to manage a successful financial investigation from start to finish, including the acquisition and examination of financial records, interview skills, and case management and organization. Additional topics include forgery and embezzlement, financial exploitation of the elderly, working with spreadsheets, financial profiling, and state-specific statutes and legal issues.

    *Emerging issues. Current trends in various types of financial crimes. Recent cases and their implications.
    *Financial records. Learn to obtain and manage bank records, including basic spreadsheeting skills.
    *Working with data. Extract leads and draw conclusions from bank records and other financial data.
    *Hands-on experience. Work a mock financial case as part of an investigative team.

    DF100 Basic Digital Forensic Analysis: Seizure

    This course introduces the information and techniques law enforcement personnel need to safely and methodically collect and preserve digital evidence at a crime scene. Topics include recognizing potential sources of digital evidence; planning and executing a digital evidence-based seizure; and the preservation, packaging, documentation, and transfer of digital evidence.

    *Prepare. Prepare to respond to an incident or crime scene where digital evidence may be present.
    *Identify. Learn tow to identify relevant sources of digital evidence in an ever-evolving landscape.
    *Collect. Learn the proper methods of digital evidence collection.
    *Preserve. Build upon the three previous principles to ensure valid and legal preservation of digital evidence can occur.

    FC099 Basic Level Spreadsheeting Skills

    This one-day course provides foundational spreadsheeting knowledge and skills to enhance workplace productivity. The course covers basic navigation of Microsoft Excel by combining live demonstrations and hands-on exercises.

    Work with multiple worksheets within a workbook
    Hide, unhide, and protect worksheets
    Adjust rows and columns
    Use copy and paste options
    Find, select, and sort data

    IA300 Advanced Criminal Intelligence: Tradecraft and Analysis

    This three-day course is dedicated to studying the fundamentals of quantitative and qualitative data analysis and how to formulate arguments in support of criminal investigations and intelligence. Students will learn about data management techniques and a disciplined process to clean and standardize data in preparation for analysis. The course will also explore several common investigative objectives, including the discovery of associations between people and entities, the correlation between unlawful activity and suspects, behavioral affinities, and predictions. The course will introduce the Enterprise Theory of Crime and how to use network analysis to formulate conclusions about the structure of criminal organizations, their players and roles, the identification of facilitators, charting of financial arrangements, and connections to unlawful activity. The course enables the production of valuable, accurate, and efficient logical inferences produced by collecting data related to unlawful activity.

    Pages