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    CY 622 NETWORK SECURITY I   3.0 Credit(s)
    This laboratory-based course will focus on network defense concepts, tools and techniques. Topics such as defense in depth, network attacks, network hardening, firewalls, DMZ, VPN, proxy server, honeypots, secure network design, Data Loss Prevention, network forensics, and intrusion detection, prevention and response will be studied. This course will also cover network administration, network operations, and network security policies as they relate to network defense. Prerequisite: Take CS-504 CS-505
    Offered: All Semesters All Years

    CY 628 SECURITY MANAGEMENT   3.0 Credit(s)
    This course addresses complex issues in measuring and managing security within an organization and plans to improve the security posture. Topics include security leadership and management, security life-cycle management, information assurance standards and compliance, security governance, policy & information security program development, incident response and risk management, cybersecurity ethics, and privacy policies, laws and regulations. Prerequisite: Take CY-626
    Offered: All Semesters All Years

    CY 625 CRYPTOGRAPHY   3.0 Credit(s)
    This course covers theoretical and practical aspects of modern applied computer cryptography. Topics include block and stream ciphers; hash functions, data authentication, and digital signatures. Special emphasis is given to public-key cryptosystems. The course includes use of various encryption methods in different programming systems. Prerequisite: Take CY-622
    Offered: All Semesters All Years

    CY 636 SECURE PROGRAMMING TECHNIQUES   3.0 Credit(s)
    It all starts with programmers: every computer system today runs some type of software in its core, and as a result is ground zero for all security concerns. Using Microsoft's proven Secure Development Lifecycle as a model, this course will provide an introduction on how to set up a secure development environment, go over best practice models, and secure programming techniques in Java or .NET frameworks, as well as common web application languages such as client-side JavaScript and SQL database programming. Prerequisite: Take CY-626
    Offered: Fall & Late Spring Semesters All Years

    CY 629 ETHICAL HACKING   3.0 Credit(s)
    This course introduces students to the security threat of computer hacking and system vulnerabilities and exploits. The course will introduce techniques and hacking skills that black-hat hackers use to compromise systems. The class will teach students how to perform white-hat hacker and ethical hacking techniques to safeguard a computer network. Prerequisite: Take CY-622
    Offered: Fall & Late Spring Semesters All Years

    CY 639 VULNERABILITY MANAGEMENT   3.0 Credit(s)
    This course will provide lectures on vulnerability and compliance management for multiple systems and perform hands-on experience with Tenable Nessus (one of the industry-leading vulnerability and compliance scanning tools). It will provide students with a working knowledge and understanding of vulnerability and compliance management, and expose students to new system and application vulnerabilities that are identified on a daily basis and demonstrates the techniques for managing them. The purpose of this course is to teach students how to identify vulnerabilities, plan to remediate them, and track to make sure they do not return. Prerequisite: Take CY-626
    Offered: Spring & Late Spring Semesters All Years

    HR 618 HR AND SOCIETY   3.0 Credit(s)
    This course explores the intersection of human resource management (HRM) and society, examining how HRM practices are shaped by and influence societal trends and forces. Students will gain a comprehensive understanding of the role of HR in interacting with various stakeholders such as employees, customers, institutions, and the entire society while addressing contemporary social issues such as diversity, equity, and inclusion (DEi), employee and labor relations, technological advancement, workforce demographics, organizational ethics, and corporate social responsibility (CSR) or ESG.
    Offered: Late Spring Semester All Years

    BUAN 681 FOUNDATIONS OF FINTECH   3.0 Credit(s)
    The objective of the course is to learn about FinTech - the technologies that are disrupting traditional financial services - and how it is changing areas such as mobile payments, trading, lending, capital markets, and asset management. The course will survey emerging issues in FinTech, enabling students to understand key transformations happening in the financial services industry and the trends that will impact the industry in the future.
    Offered: All Semesters All Years

    BUAN 683 AI AND FINTECH IN FINANCIAL MARKETS   3.0 Credit(s)
    Course Title - Artificial Intelligence and Financial Technology in Financial Markets. We will cover a variety of applications of AI and Fintech in the financial markets, including streamlining credit and loan transactions, automating and personalizing financial services, predictive analysis for investment and risk management, fraud detection and regulatory compliance, as well as direct and cost-effective fundraising. Students will create their own crowdfunding projects through ICOs and NFTs.
    Offered: All Semesters All Years

    BUAN 684 MACHINE LEARNING IN FINANCE   3.0 Credit(s)
    This course is focused on the subsequent financial use cases: Risk management, credit scoring, fraud detection, unstructured big data insights (NLP), consumer sentiment, social finance and product evaluation. In addition to supervised (e.g., classification and prediction) and unsupervised (e.g., clustering) machine learning, students will gain knowledge of causal machine learning and apply it to solve problems associated with the aforementioned use cases.
    Offered: All Semesters All Years

    BUAN 682 DIGITAL CURRENCIES: BLOCKCHAIN & CRYPTO   3.0 Credit(s)
    Course Title - Digital Currencies: Blockchain and Cryptocurrency We will cover the mainstream blockchain-based digital currencies (e.g., Bitcoin, Ethereum, and Uniswap), stable coins (e.g., MakerDAO, USDT, etc.), as well as Non Fungible Tokens (NFT). We will also discuss the Central Bank Digital Currency (CBDC) and its interdependency with blockchain technology. We will focus on the financial aspects of digital currencies, including valuation, trading, liquidity, investment, collection, and regulation. Students will create their own digital currencies.
    Offered: All Semesters All Years

    CS 649 STATISTICS FOR DATA SCIENCE   3.0 Credit(s)
    This course provides the necessary skills to successfully navigate through the Data Science track. Topics include: data sampling, tendency and distribution of data, hypothesis testing, variations, regression and probability

    BU 691 AI CAPSTONE   3.0 Credit(s)
    This course equips students with the ability to use AI and ML principles and algorithms, which they have learned in previous semesters, to solve a business challenge or problem of their choice. The chosen topic or problem must be approved by the instructor. This course specifically equips students with the requisite technical expertise and tools, including no code or low code solutions, to effectively address a business challenge in a data-driven way.
    Offered: All Semesters All Years

    BU 690 INTRODUCTION TO AI   3.0 Credit(s)
    This course covers the essential elements and model areas of Artificial Intelligence and the application of AI in business.
    Offered: All Semesters All Years

    BU 692 IMPACT OF AI ON INNOVATION   3.0 Credit(s)
    The impact of AI on innovation is not just in its technological advancements but also in its ability to reshape industries, economies, and societal norms, underscoring the importance of navigating its development and application responsibly. AI is contributing to the creation of entirely new categories of products and services, such as autonomous vehicles, smart home devices, and personalized content recommendations, enhancing consumer experiences and creating new markets. However, the integration of AI into innovation processes also presents challenges, including ethical considerations, the potential for job displacement, and the need for regulatory frameworks. As AI becomes increasingly sophisticated, ensuring that innovation remains human-centered and benefits society as a whole is crucial.
    Offered: All Semesters All Years

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