Courses
SW 676 SPEC INTEGRATED PRACTICE II:MSW CAPSTON 3.0 Credit(s)
This is the second of a two-semester specialized practice course. In this culminating course, students will apply key content in the Master of Social Work curricula to design and defend a MSW Capstone project. The MSW Capstone project is a comprehensive demonstration of specialized practice integrated across all levels of social work practice in alignment with the mission of the School of Social Work. Throughout this course students will demonstrate progress on their Capstone in accordance with defined benchmarks and a final product. Students will work collaboratively with their instructor, peers, and key stakeholders to reach the benchmarks, integrate learning, practice leadership skills, and demonstrate their ability to apply social work knowledge, values, skills and cognitive and affective processes. Pre-requisite= SW675 Prerequisite: TAKE SW-675
Offered: As Needed Contact Department
SW 680 SPECIALIZED PRACTICUM & SEMINAR II 3.0 Credit(s)
Second half of two-semester course where students participate in an approved, specialized, social work practice field placement with the focus on the development and application of skills and cognitive/affective process within specialized framework. Pre-requisite = SW678. Pre/co-requisite = SW676 Prerequisite: Take SW-678
Offered: As Needed Contact Department
CS 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 CS-504 or CS-505
Offered: Fall, Spring & Late Spring Sem All Years
CS 624 HANDS - ON NETWORK SECURITY 3.0 Credit(s)
Designed for IT graduate students, this course uses VMWare of Connectix Virtual PC to simulate different environments. It examines networking security topics, firewalls (using Linux), packet filters, NAT, PAT, socks and HTTP proxies, public key infrastructure (using Microsoft Certification Server), encryption algorithms, decrypting passwords, dictionary decryption, brute force decryption, certificate servers, vulnerability assessment, identifying security holes, forensics, tracing, log analysis, Layer 5 vulnerabilities (Services/Daemons and OS), identifying denial of service attack (simulation), identifying a virus/work attack (simulation), and packet monitoring (sniffing). Prerequisite: Take CS-621 or CS-560
Offered: As Needed Contact Department
BUAN 660 APPLIED STATS AND CAUSAL ML FOR BUSINESS BUSINESS 3.0 Credit(s)
Teaches causal ML/AI inference methods to determine whether one action actually causes another. Students use techniques like treatment-effect estimation, causal forests, and they apply software libraries (e.g., DoWhy, EconML) to real-world data. Prerequisite: Take BUAN-651
Offered: All Semesters All Years
BUAN 670 DATA MINING 3.0 Credit(s)
Data mining involves decision making by detecting patterns, and cluster analysis. This course introduces data mining techniques, real-world applications and its challenges. A number of well-defined data mining tasks such as classification, estimation, prediction, affinity grouping and clustering, and data visualization will be discussed. The course will provide students with a sound understanding of how to utilize data mining to enhance business productivity in a variety of business applications. Prerequisite: Take BUAN-660
Offered: All Semesters All Years
BUAN 680 PRICING AND REVENUE ANALYTICS 3.0 Credit(s)
Pricing and revenue analytics is a set of practices and tools that firms use to optimize product & service choices, pricing, and promotion strategies. Students will be able to identify and develop opportunities for revenue optimization in different business contexts including the retail, telecommunications, entertainment, financial services, health care, manufacturing, among others. Adoption of these modeling techniques in the on-line advertising, online retailing, and online markets will also be discussed. Prerequisite: Take BUAN-651
Offered: All Semesters All Years
BUAN 655 DATABASE MANAGEMENT 3.0 Credit(s)
To compete in a data-driven world, data analytic skills and database skills are key. Before data is analyzed, correct data first needs to be chosen and pulled from a database within your organization or your client's organization. While the term big data is influenced by the rise of unstructured data (no-SQL database), structured data (SQL/relational database) remains a large and important component because structured data is driven by business processes and workflows. This course mainly focuses on process-driven/structured data and a relational database. This course is not designed to develop database building skills. A large focus of this course is placed on an understanding of database schema (or how business data is collected in relation to other business data) and SQL coding techniques for selecting the right data for the purpose of further analysis.
Offered: Fall Semester All Years
BUAN 690 APPLIED ML/AI INTERNSHIP 3.0 Credit(s)
Students deliver end-to-end ML/AI solutions for for/non-profit businesses under faculty guidance. This aggregates all the skills learned during the program into real ML/AI solution for real businesses. Client-facing experience and storytelling skills are essential for analytics careers. By serving real clients, students build portfolios and networks that make them competitive for analytics consultant or business-intelligence roles.
Offered: Fall & Late Spring Semesters All Years
BUAN 651 INTRO TO DATA AND PROGRAMMING 3.0 Credit(s)
This course introduces fundamentals about data and the standards, technologies and methods for organizing, managing, curating, preserving, and using data. The course will teach students the use of software such as Python for data manipulation, analysis and visualization. The course also incorporates broader issues surrounding data, including technologies, behaviors, organizations, policies, and society. Special attention will be given to ethical issues surrounding data, social and historical perspectives on data with ethics and policies to help students develop a workable understanding of current ethical issues in data science. Finally, the ethical issues will be addressed that arises throughout the lifecycle of data - from collection to storage to analysis and application.
Offered: Fall & Spring Semesters All Years
BUAN 665 DATA VISUALIZATION 3.0 Credit(s)
Visualizations are graphical depictions of data that can improve comprehension, communication, and decision making. This course is an introduction to the principles and techniques for data visualization. In this course, students will learn visual representation methods and techniques that increase the understanding of complex data and models. Emphasis is placed on the identification of patterns, trends and differences from data sets across categories, space, and time. Prerequisite: Take BUAN-651
Offered: All Semesters All Years
BUAN 675 GLOBAL SUPPLY CHAIN ANALYTICS 3.0 Credit(s)
In this course, students learn the concepts and development of analytical model building as used in global supply chain decisions. Topics include forecasting and inventory management, sales and operations planning, transportation, logistics and fulfillment, purchasing and supply management, supply chain risk management, etc. in manufacturing, trade and service industries. Students learn to define the right data set, ask the right questions to drive supply chain efficiency and business value and use the right models and tools to develop data-driven decisions. Software packages such as Python will be utilized.
Offered: Spring & Late Spring Semesters All Years
BUAN 685 BUSINESS STRATEGY & ANALYSIS 3.0 Credit(s)
This course explores the strategic role of analytics and business intelligence in an organization. Students will learn to evaluate the strategic environment of an organization, use strategic models to formulate a strategy and the implementation of that strategy. The course will then emphasize the interplay between analytics and strategic considerations in an organization. Students will learn the practical application of analytics to formulate an organization's strategy and reversely the influence of the organization's strategy to nature of the analytics within the organization.
Offered: Fall, Spring & Late Spring Sem All Years
PS 605 APPLIED PRACTICUM 3.0 Credit(s)
Supervised fieldwork in an area related to the students professional interests and program content. Course requirements include a site supervisor and a faculty supervisor, and a fieldwork placement.
Offered: Modules Even Semesters All Years
HR 639 SELECTION AND RECRUITMENT 3.0 Credit(s)
This course focuses on the integral aspects of the selection, recruitment, and hiring process within an organization. In this course, we will take an in-depth examination of the practices and systems within the workplace that can impact selection, recruitment, and hiring processes. By the end of the course, students will be able to demonstrate and understanding of the different human resource staffing functions. Students will also be able to design and implement their own custom-made selection system.
Offered: Late Spring Semester All Years