Applied Intelligence ...............................................Bachelor of Science

APPLIED INTELLIGENCE

BENJAMIN BAUGHMAN, Ph.D., Program Director FACULTY: Associate Professor: Musa Tuzuner, Ph.D.

Mission Statement

The mission of the Applied Intelligence Program at Gannon University is to prepare students to develop innovative ways to frame complex real-world problems and apply analytical methods and technologies to help decision makers gain and sustain competitive advantages in both public and private industries.

Vision

The Applied Intelligence at Gannon University aspires to: • Empower students to acquire, evaluate and generate knowledge • Engage in cutting edge research and analytical techniques • Monitor environmental changes and threats • Hone professional written and verbal communication • Promote ethics in the application of knowledge and problem-solving experience • Produce graduates who will be leaders in the intelligence field

Overview

The Bachelor of Science in Applied Intelligence provides students with the intelligence skillset needed to support decision-making processes, develop strategic policies, and comply in an regulatory environment within a relevant industry to avoid strategic, operational, and tactical failures throughout private and public sectors. This multidisciplinary program joins applied intelligence with programs across the university to develop students into specialized analysts. Applied Intelligence provides the knowledge, skills and applied experience needed for intelligence specialist and analyst roles across various sectors including as health, education, finance, defense, military, intelligence, security, trade, cyber, banking, gaming and law enforcement. Depending on career path, students can choose a secondary major or minor that best fits their interest. Options for secondary programs can include: accounting, business administration, computer information systems, criminal justice, cybersecurity, finance, global languages and culture, healthcare management, history, legal studies, political science, psychology, public health, public service and global affairs or risk management. Students are not limited to these secondary programs, they are mere suggestions based on current employment trends. Students must maintain a minimum GPA 3.0 throughout the Applied Intelligence coursework to earn the bachelor of science degree. To achieve a minor, students must complete 16 credits and have a 2.0 in Applied Intelligence coursework.

Applied Intelligence Program Outcomes:

Upon completion of the program, Applied Intelligence students will: • Identify and assess risks—threats, vulnerabilities, and consequences. • Build and develop policy and procedures to comply with expectations of laws and regulatory environment in a relevant industry to avoid strategic, operational, and tactical failures that produces detrimental consequences. • Apply ethical behavior in public and private domains to address moral problems of intelligence. • Demonstrate global perspective and best applied international practices. • Develop practical and critical problem-solving skills align with public and private standards. • Demonstrate technological competency to conduct effective operation and analysis function. • Demonstrate investigative, collection and research abilities.

• Create analytical models to monitor environmental changes and risks. • Analyze relevant analytical methods and techniques to understand the complex nature of the issues. • Apply intelligence analytical experience to support decision-making process to have an effective decision to keep competitive advantages. • Demonstrate advanced writing and professional communication competencies for conveying the facts and judgments to stakeholders.

COURSE DESCRIPTIONS

INTEL 101: Introduction to Applied Intelligence

This introductory course surveys the interdisciplinary field of intelligence studies. It provides the student with a knowledge and understanding of the meaning intelligence, how intelligence systems and its components work, how intelligence reduce the uncertainties of policymakers in a democratic policymaking process, and how they are supervised and controlled. It explores intelligence process (aka intelligence cycle), its limitations from theoretical perspectives, the intelligence community’s roles and responsibilities, intelligence activities, intelligence oversight and ethics, types of intelligence methods, tools and techniques, and common intelligence types in The overarching goal of this course is to familiarize students with the discipline of intelligence in national security, law enforcement, business and private sector, and its various functions, processes, and dilemmas sufficient to allow for the study of more specialized intelligence topics and for application of specialized analytic methods and techniques over the course of their academic and professional careers. 3 credits, Fall

INTEL 190-199: Special Topics in Introductory-Level Applied Intelligence

Prerequisites vary with particular course being offered 1-3 credits

INTEL 201: Intelligence Techniques and Methods

Intelligence analysis requires a variety of skills and knowledge. To meet the basic needs of the analyst, this course will emphasize research, collation of that research, analytic methods, and critical thinking throughout as the student prepares a report on an assigned termlong analytic task. The course takes students step-by-step through the intelligence analysis process to reach the end analytic product. These methods are used by analysts in the United States Intelligence Community, as well as other disciplines using intelligence, including law enforcement and business. The goal of this course is for students to use hands-on experience to learn – singly and in groups – how to develop conceptual models, follow advanced internet research techniques, collate what they find, use multiple Structured Analytic Techniques (SAT) to foster critical thinking while minimizing cognitive biases, develop analytic judgments, and then communicate those judgments to a decision-maker. Students will develop online research and analysis skills applicable to the intelligence analysis field and transferable to multiple other fields. 3 credits, Spring

INTEL 202: Intelligence Writing, Presenting and Communication

A key element to performing intelligence analysis is to communicate the results of analysis to those who make the decisions clearly, concisely and accurately. This course will give students the basic concepts of effective communications to decision-makers. Principles of writing in a clear and concise manner will provide the fundamentals of the course. Students will also learn the importance of format and style. Briefing is also an important communication form used to convey intelligence to decision-makers. Students will learn the fundamentals of oral briefing and use of PowerPoint. The class will make use of repeated assignments focused on the key intelligence product forms in order to drive home the principles of effective communication. Students will do all this as they respond to an intelligence tasking given at the beginning of the term. All their products will provide intelligence on that tasking. Prerequisite: INTEL 101 and INTEL 201 4 credits, Fall

INTEL 203: Geospatial Methods and Analysis

This introductory level course teaches students how to interact and utilize ArcGIS Pro to collect and analyze data to effectively produce geospatial intelligence products. A diverse sampling of industries, scenarios, and workflows are highlighted both in the textbook and in the lectures. As such, the course provides a broad range of core geospatial concepts and functions relevant across most disciplines. After cursory skillsets are learned, an emphasis is placed on selecting suitable tools for the examination of spatial and imagery data encountered in the various intelligence disciplines. Prerequisite: INTEL 101 and INTEL 201 3 credits, Spring

INTEL 290-299: Special Topics in Emerging Skills in Applied Intelligence

Prerequisites vary with particular course being offered 1-3 credits

INTEL 301: Competitive Intelligence

This course introduces students to competitive intelligence (CI) practices and procedures and teaches them who uses CI, how, and for what purposes. CI is not industrial espionage; it is a legal profession governed by a code of ethics; its practitioners operate in full compliance with applicable U.S. laws. Lessons in this course will entail researching advanced models and techniques of competitive intelligence and applying a series of these methodologies to a termlong project of company within a designated industry. The goal is to provide students with an understanding of what competitive intelligence is and how it is performed. Students will be exposed to a set of resources and methodologies for conducting competitive intelligence. This knowledge base will enable the student to collect relevant information, employ appropriate analytic techniques, perform analysis, and effectively provide insights to assist corporate decision makers in making informed decisions. Prerequisite: INTEL 101 and INTEL 201 3 credits, Fall

INTEL 302: Law Enforcement Intelligence

This course provides an overview of analytical methodologies and terminology as it relates to law enforcement intelligence. Students will be introduced to tactical crime analysis approaches through the study of both serial criminal behavior and unlinked criminal activity. Furthermore, students will utilize several software applications in order to successfully complete this course (Microsoft Word, Microsoft Excel, and ArcGIS Pro). Prerequisite: INTEL 101, INTEL 201 and INTEL 203 3 credits, Fall

INTEL 303: National Security Intelligence

After the Cold War, the nature of the conflicts has been changed. The new complexities and challenges to the national security has resulted in significant structural changes in the US national security establishment. This course would provide the student with the foundational knowledge and understanding of the national security establishment and its components and their role in national security policymaking. The primary objective of this course is to familiarize students with some of the major issues of national security and intelligence issues, gain the skills of analyzing causes and consequences of these issues, identifying the policy gap, analyzing political, social, and economic pros and cons of alternative policy options, make recommendations to decision makers, and writing an influential policy brief. Ultimately, this course aims to help students develop critical-thinking and problem-solving skills for their intelligence professional career. Prerequisite: INTEL 101 and INTEL 201 3 credits, Spring

INTEL 340-349: Special Topics in Emerging Fields in Applied Intelligence

Prerequisites vary with particular course being offered 1-3 credits

INTEL 351: Risk Assessment

This course introduces students to the science and related tradecraft of risk assessment. Students will be led through various approaches to risk assessment and shown effective approaches to steps within the process. Furthermore, students will be provided with resources that will aid in their understanding of the various risk assessment tools along with being provided several techniques that can be used to aid in analyzing conceptual designs,

procedures, and operational risks. Students will be expected to apply new concepts to several case studies and real-life examples throughout the course. Additionally, students will be exposed to available probabilistic risk assessment software such as SAPPHIRE and RAVEN. Prerequisite: INTEL 101 and INTEL 201 3 credits, Spring

INTEL 352: Strategic Intelligence

This course is intended to develop a student’s practical and critical problem-solving skills which are necessary to provide cogent strategic intelligence products that align with public and/or private standards. In sum, strategic intelligence and related methodologies tend to deal with long-range multi-faceted issues. Analysts in positions ranging from international to domestic roles will be asked to provide client focused products to aid in reducing the levels of uncertainty for decision makers. With this in mind, students will develop core critical thinking and analytic skills necessary for conducting research, generating hypotheses, evaluating sources of information, and providing strategic intelligence products. Prerequisite: INTEL 101, INTEL 201 and INTEL 202 3 credits, Fall

INTEL 390-399: Special Topics in Advanced/Integrated Skills in Applied Intelligence

Prerequisites vary with particular course being offered 1-3 credits

INTEL 490: Intelligence Career and Portfolio Development

This Applied Intelligence program focuses on providing students with the knowledge and skills necessary to become an effective intelligence analyst. Acquiring that knowledge and those skills is essential to this career choice. Getting employment in this field will need more than the knowledge and skills; it will also require finding and securing a job in a large and complex field. Students taking this course will learn how to search for jobs, how to write an effective résumé, how to write a cover letter, how to present themselves to best effect in the multiple forms of job interview used in today’s world, how to produce a portfolio that best exemplifies a student’s intelligence related work in and out of the classroom, and how to communicate and deal with others in the professional workplace. Ethical situations for an intelligence professional will also be discussed. Prerequisite: INTEL 101, INTEL 201 and INTEL 202 2 credits, Spring

Applied Intelligence Bachelor of Science Curriculum

(Numerals in front of courses indicate credits) FRESHMAN Fall Fall Semester 3 Intro to Applied Intel/INTEL 101 3 Foundational Theology/THEO 101 3 Foundational English/ENGL 101 3 Specialization Course 3 Elective 0 Gannon 101/FRSH 101 15 Spring 3 Intel Tech. and Methods/INTEL 201 3 Integrative Communication 3 Foundational Philosophy/PHIL 101 3 Specialization Course 3 Elective 15

SOPHOMORE Fall 4 Write, Present and Comm/INTEL 202 3 Integrative English 3 Integrative Theology 3 Specialization Course 3 Elective 16 Spring 3 GIS Methods and Analysis/INTEL 203 3 Integrative History 3 Quantitative Methods 3 Specialization Course 3 Elective 15