Course Schedules

This table provides the course number, what term it is offered with dates, length of course, registration deadline and instructor.
This is a 6-column table with the header/column titles in the first row.
CRN	Term	Dates	Length	Registration Deadline	Instructor
11326	Spring POT3	3/5-5/1	8 Weeks	3/11/2027	Ian Fang

Course Description:

A new approach to effectively analyzing, understanding, learning, and managing data is necessary for the data that originates from instruments, sensors, Internet transactions, emails, click streams, and/or all other digital sources. Analytics has drawn more attention and has emerged as some of the most important, cutting-edge fields in a variety of fields, from corporate intelligence to scientific research. This course will examine essential big data technologies, trends, infrastructure, and management challenges, enabling students to make prudent decisions when confronted with them. with extensive data sets In addition, students will gain practical experience developing for popular big data platforms using Python, Java, or Scala.

This table provides the course number, what term it is offered with dates, length of course, registration deadline and instructor.
This is a 6-column table with the header/column titles in the first row.
CRN	Term	Dates	Length	Registration Deadline	Instructor
11327	Spring POT2	1/11-3/2	8 Weeks	1/17/2027	Shusen Pu

Course Description:

This course is an introduction to deep learning, a branch of machine learning focusing on the development and application of neural networks. Applications of deep learning play a significant role in recent advances in technology, such as automated hearing and speech translation, automated driving, fraud detection, and various aspects of healthcare. This course covers a range of topics in deep learning, including biophysical background, mathematical preparation, basic neural networks, convolutional and recurrent network models, optimization methods, and applications to real-life problems. Through hands-on projects, students will learn how to implement deep learning algorithms and formulate their analysis into a report. In the final project, students will apply the techniques they learn in the course to real-world scenarios with a problem of their choice.

This table provides the course number, what term it is offered with dates, length of course, registration deadline and instructor.
This is a 6-column table with the header/column titles in the first row.
CRN	Term	Dates	Length	Registration Deadline	Instructor
11328	Spring POT2	1/11-3/2	8 Weeks	1/17/2027	Brian Jalaian

Course Description:

This course provides a broad introduction to modern machine learning, including supervised learning (multiple linear regression, logistic regression, and decision trees), unsupervised learning (clustering, dimensionality reduction, and anomaly detection), model evaluation (k-fold cross validation & performance evaluation metrics) and hyper-parameter tuning. The goal of course is for the students to master the key theoretical concepts and gain the practical know-how to quickly and powerfully apply machine learning to challenging real-world problems via hands-on projects.

This table provides the course number, what term it is offered with dates, length of course, registration deadline and instructor.
This is a 6-column table with the header/column titles in the first row.
CRN	Term	Dates	Length	Registration Deadline	Instructor
NA	NA	NA	8 Weeks	NA	NA

Course Description:

This course will introduce students to the generative AI models and explore best practices in using AI tools to produce the kinds of writing demanded by today's workplace, such as proposal writing, email writing, grant writing, internal communications, website text and others.

This table provides the course number, what term it is offered with dates, length of course, registration deadline and instructor.
This is a 6-column table with the header/column titles in the first row.
CRN	Term	Dates	Length	Registration Deadline	Instructor
12719	Spring POT1	1/11-5/1	16 Weeks	1/17/2027	Jenea Wood

Course Description:

This course is designed to provide students with the skills necessary to integrate the tools made available through artificial intelligence into the practice of graphic design. Students will learn to use AI tools to enhance creativity and efficiency. Offered concurrently with GRA 4146. Graduate students will be assigned additional work.

This table provides the course number, what term it is offered with dates, length of course, registration deadline and instructor.
This is a 6-column table with the header/column titles in the first row.
CRN	Term	Dates	Length	Registration Deadline	Instructor
NA	NA	NA	8 Weeks	NA	NA

Course Description:

This course instructs students in the use of artificial intelligence to produce professional and strategic communications in a variety of environments, such as social media, press releases, and websites. Offered concurrently with COM 4381. Graduate students will be assigned additional work.

This table provides the course number, what term it is offered with dates, length of course, registration deadline and instructor.
This is a 6-column table with the header/column titles in the first row.
CRN	Term	Dates	Length	Registration Deadline	Instructor
12851	Spring POT1	1/11-5/1	16 Weeks	1/17/2027	Julianna Costanzo
12853	Spring POT1	1/11-5/1	16 Weeks	1/17/2027	Julianna Costanzo

Course Description:

This course investigates the nature of artificial intelligence and the ethical questions raised by integrating artificial intelligence and big data into the social, political, and personal lives of today's citizens. Offered concurrently with PHI 4681. Graduate students will be assigned additional work.

This table provides the course number, what term it is offered with dates, length of course, registration deadline and instructor.
This is a 6-column table with the header/column titles in the first row.
CRN	Term	Dates	Length	Registration Deadline	Instructor
NA	NA	NA	12 Weeks	NA	NA

Course Description:

This course reviews fundamental principles of modern computer architectures, operating systems and computer networks and relates them to computer programming. The course covers topics such as the design of various components of operating systems and services they provide to users and application developers, network structures & devices, network protocol stacks, network performance metrics, network routing algorithms, and network traffic analysis. The role of security in systems and networks will also be covered. This course may require completion of graduate foundations courses in computer programming or the equivalent undergraduate coursework if a student has insufficient academic or professional experience in the discipline.

This table provides the course number, what term it is offered with dates, length of course, registration deadline and instructor.
This is a 6-column table with the header/column titles in the first row.
CRN	Term	Dates	Length	Registration Deadline	Instructor
11662	Spring POT3	3/5-5/1	8 Weeks	3/11/2027	Anthony Pinto

Course Description:

A course in the Accelerated Software Engineering Foundations Series in which students will gain a comprehensive understanding of principles/concepts of Java programming and how to apply those principles/concepts in conjunction with principles of software engineering to design and develop object- oriented software systems. Students taking this course should have an understanding of programming language fundamentals including variables, constants, selection, iteration, arrays, and functions or methods.

This table provides the course number, what term it is offered with dates, length of course, registration deadline and instructor.
This is a 6-column table with the header/column titles in the first row.
CRN	Term	Dates	Length	Registration Deadline	Instructor
10683	Spring POT1	1/11-3/2	8 Weeks	1/17/2027	Ezhil Selvam Kalaimannan

Course Description:

This course introduces students to topics in cybersecurity. It provides information related to threat models, vulnerability analysis, and security-policy formation and enforcement. In addition, the course covers information assurance controlling laws and guidelines as well as introduces students to broad topics in network and system security, Internet services, and digital forensics.

This table provides the course number, what term it is offered with dates, length of course, registration deadline and instructor.
This is a 6-column table with the header/column titles in the first row.
CRN	Term	Dates	Length	Registration Deadline	Instructor
NA	NA	NA	8 Weeks	NA	NA

Course Description:

This course covers the basic strategies and tools that prepare students to engage in proactive and aggressive cybersecurity activities, with an increased focus on computer, network and system security. Students will learn about protection strategies which are most effective when dealing with cyber attacks, especially in an age of increased reliance on distributed devices. This course may require completion of graduate foundational courses in computer science or undergraduate coursework in computer networks and operating systems if a student has insufficient academic or professional experience in the field.

This table provides the course number, what term it is offered with dates, length of course, registration deadline and instructor.
This is a 6-column table with the header/column titles in the first row.
CRN	Term	Dates	Length	Registration Deadline	Instructor
NA	Fall	NA	8 Weeks	NA	TBA

Course Description:

Examines the importance of building security into the design, implementation and testing phases of software development. Covers coding techniques that avoid known vulnerabilities and test strategies that can uncover previously unknown weaknesses. Includes discussion of security policies and design principles. Prior to taking this course students should have knowledge and skill in software development.

This table provides the course number, what term it is offered with dates, length of course, registration deadline and instructor.
This is a 6-column table with the header/column titles in the first row.
CRN	Term	Dates	Length	Registration Deadline	Instructor
10984	Spring POT2	1/11-3/2	8 Weeks	1/17/2027	Eric Ackerman

Course Description:

Database Security is designed to teach students how database systems are used, managed, and issues associated with protecting the associated data assets are resolved. This course will cover various methods to ensure information confidentiality, integrity, and availability on various data storage systems. This graduate course is an elective for graduate Cybersecurity and Information Technology programs.

This table provides the course number, what term it is offered with dates, length of course, registration deadline and instructor.
This is a 6-column table with the header/column titles in the first row.
CRN	Term	Dates	Length	Registration Deadline	Instructor
10556	Spring POT3	3/5-5/1	8 Weeks	3/11/2027	Ezhil Kalaimannan

Course Description:

This course will provide a solid foundation for performing a digital forensic examination; introduces tools and techniques required for conducting a forensic analysis on systems and data pertaining to evidences in civil, criminal or administrative cases. It introduces systematic problem-solving techniques and applies them to digital investigations. The techniques directly correlate to methods used to recover/restore data for various requirements, ranging from litigation to fraud-based investigations.

This table provides the course number, what term it is offered with dates, length of course, registration deadline and instructor.
This is a 6-column table with the header/column titles in the first row.
CRN	Term	Dates	Length	Registration Deadline	Instructor
12353	Spring POT1	1/11-5/1	16 Weeks	1/17/2027	John Coffey

Course Description:

Introduction to database systems and database management system architectures. Various database models are discussed with emphasis on the relational model and relational database design. Case applications using fourth-generation languages, such as SQL are included. This course requires completion of graduate foundations courses in computer programming or the equivalent undergraduate coursework.

This table provides the course number, what term it is offered with dates, length of course, registration deadline and instructor.
This is a 6-column table with the header/column titles in the first row.
CRN	Term	Dates	Length	Registration Deadline	Instructor
NA	NA	NA	8 Weeks	NA	NA

Course Description:

Data in the workplace is a course that guides students through an exploration of data including data integration, ethical considerations, identification of a problem of interest, interpretation of results, and written and oral presentations of findings. This 16-week asynchronous online course guides students through the applications of the fundamentals of statistics necessary for data description and analysis to enable data-driven decision-making in the context of the student’s discipline.

This table provides the course number, what term it is offered with dates, length of course, registration deadline and instructor.
This is a 6-column table with the header/column titles in the first row.
CRN	Term	Dates	Length	Registration Deadline	Instructor
11118	Spring POT2	1/11-3/2	8 Weeks	1/17/2027	Samantha Seals

Course Description:

Data in Society is a course that covers the essentials of data fluency and awareness from the perspective of the consumer of statistics. This 16-week asynchronous online course builds the fundamentals of statistics necessary for data description and analysis to enable data-driven decision-making in the context of the student’s discipline. Offered concurrently with STA 4012. Graduate students will be assigned additional work.

This table provides the course number, what term it is offered with dates, length of course, registration deadline and instructor.
This is a 6-column table with the header/column titles in the first row.
CRN	Term	Dates	Length	Registration Deadline	Instructor
12853	Spring POT1	1/11-5/1	16 Weeks	1/17/2027	Julianna Costanzo
12851	Spring POT1	1/11-5/1	16 Weeks	1/17/2027	Julianna Costanzo

Course Description:

This course investigates the nature of artificial intelligence and the ethical questions raised by integrating artificial intelligence and big data into the social, political, and personal lives of today's citizens. Offered concurrently with PHI 4681. Graduate students will be assigned additional work.

This table provides the course number, what term it is offered with dates, length of course, registration deadline and instructor.
This is a 6-column table with the header/column titles in the first row.
CRN	Term	Dates	Length	Registration Deadline	Instructor
11780	Spring POT2	1/11-3/2	8 Weeks	1/17/2027	Achraf Cohen
10980	Spring POT3	3/5-5/1	8 Weeks	3/11/2027	Achraf Cohen

Course Description:

Gain hands-on knowledge of tools for data science using R, Python, SQL, and Spark. The course provides introductions to several packages in R, particularly Tidyverse, libraries in Python such as NumPy and Pandas, SQL clauses and summary statistics, and Spark framework for distributed computing. You will also learn about RStudio, GitHub, and RMarkdown. To end this course, you will conduct a final project to work on real-world problems.

This table provides the course number, what term it is offered with dates, length of course, registration deadline and instructor.
This is a 6-column table with the header/column titles in the first row.
CRN	Term	Dates	Length	Registration Deadline	Instructor
10981	Fall POT2	1/11-3/2	8 Weeks	1/17/2027	Ann Aksut
10982	Fall POT3	3/5-5/1	8 Weeks	3/11/2027	Ann Aksut

Course Description:

Organizations can generate copious amounts of data. Extracting useful knowledge from data Warehouses to utilize in decision-making can provide a competitive advantage for an organization by identifying strengths and weaknesses. In this course, you will learn data warehouse organization, how to analyze data through analytical queries, and apply machine learning algorithms to build predictive models.

This table provides the course number, what term it is offered with dates, length of course, registration deadline and instructor.
This is a 6-column table with the header/column titles in the first row.
CRN	Term	Dates	Length	Registration Deadline	Instructor
11040	Spring POT2	1/11-3/2	8 Weeks	1/17/2027	Samantha Seals
11041	Spring POT3	3/5-5/1	8 Weeks	3/11/2027	Samantha Seals

Course Description:

This builds the fundamentals of statistics necessary for students to perform and interpret appropriate hypothesis tests using software based on the data and research questions at hand.

This table provides the course number, what term it is offered with dates, length of course, registration deadline and instructor.
This is a 6-column table with the header/column titles in the first row.
CRN	Term	Dates	Length	Registration Deadline	Instructor
11116	Spring POT2	1/11-3/2	8 Weeks	1/17/2027	Ranadeep Daw
11117	Spring POT3	3/5-5/1	8 Weeks	3/11/2027	Ranadeep Daw

Course Description:

Statistics for Data Science II is the second course in statistics for students in data science. This course covers the application of regression analysis techniques using software for statistical analysis. Broadly, students will learn how to construct statistical models and disseminate predictions and results to a wide audience. There will be a focus on choosing the appropriate modeling strategy for the data and research questions at hand

This table provides the course number, what term it is offered with dates, length of course, registration deadline and instructor.
This is a 6-column table with the header/column titles in the first row.
CRN	Term	Dates	Length	Registration Deadline	Instructor
NA	NA	NA	8 Weeks	NA	NA

Course Description:

This course provides an introduction to and hands- on exploration of the rapidly evolving fields of artificial intelligence (AI), machine learning (ML), deep learning and generative AI (GenAI). Learn how to harness these models, including large language models (LLMs), to understand complex requirements and deliver precise solutions. Through practical projects, the course will delve into using open-source software, enabling students to experience firsthand the exponential growth of AI and its impact on solving real-world problems. The course also addresses the ethical and societal implications of deploying generative AI technologies.

This table provides the course number, what term it is offered with dates, length of course, registration deadline and instructor.
This is a 6-column table with the header/column titles in the first row.
CRN	Term	Dates	Length	Registration Deadline	Instructor
12483	Spring POT3	3/5-5/1	8 Weeks	3/11/2027	Brian Jalaian

Course Description:

This course introduces the foundations of Large Language Models (LLMs) and how they power today’s most advanced AI applications. Students will explore how LLMs are structured, how they generate language, and how to interact with them effectively. Through hands-on labs using open-source models in cloud notebooks, you will gain practical experience in text generation, prompt design and building a simple chatbot/Q&A assistant. The course emphasizes both conceptual understanding and applied skills, preparing students to use and evaluate LLMs in real-world contexts.

This table provides the course number, what term it is offered with dates, length of course, registration deadline and instructor.
This is a 6-column table with the header/column titles in the first row.
CRN	Term	Dates	Length	Registration Deadline	Instructor
NA	NA	NA	8 Weeks	NA	NA

Course Description:

This 8-week course on AI models for data science explores various techniques from the perspective of an AI assistant. It highlights how AI models contribute to building a full data science pipeline, including exploratory data analysis, data preprocessing, model fitting and evaluation. The course also covers assessing prompting methods, interpreting AI outputs, and understanding AI’s limitations within the ever-changing landscape of data science.

This table provides the course number, what term it is offered with dates, length of course, registration deadline and instructor.
This is a 6-column table with the header/column titles in the first row.
CRN	Term	Dates	Length	Registration Deadline	Instructor
10446	Spring POT2	1/11-3/2	8 Weeks	1/17/2027	Amber Bloechle

Course Description:

This introductory course strives to provide a comprehensive understanding of Geographic Information Systems (GIS) by striking a balance between the "how-to" of GIS using ArcGIS Pro software and the "why" of Geographic Information Science. Through exploration and analysis of local, regional, and global problems, students will gain valuable insights into the world of geospatial science and technology. Explore the fundamental concepts of representing real-world geographic data in a digital format, setting the foundation for geospatial analysis. Construct spatial databases, including data modeling and data organization techniques, ensuring data integrity and efficiency. Learn the power of spatial database queries enabling the extraction of valuable insights. Gain proficiency in spatial analysis techniques, using GIS tools to answer complex spatial questions and solve real-world problems. Create visually compelling and informative maps and visualizations through the basic principles of cartographic design. Explore the wide-ranging applications of geospatial technology across various disciplines for both professional and research uses. The lecture component of the course provides students with the theoretical underpinnings of GIS, helping them grasp the core concepts and principles underlying geospatial technology. This course provides a dynamic and hands-on learning experience, equipping students with the knowledge and skills needed to excel in the field of GIS. Whether you are interested in environmental science, urban planning, or any other discipline that relies on spatial data, this course is your gateway to unlocking the potential of Geographic Information Systems. Offered concurrently with GIS 4043 where graduate students will be assigned additional work. Permission is required.

This table provides the course number, what term it is offered with dates, length of course, registration deadline and instructor.
This is a 6-column table with the header/column titles in the first row.
CRN	Term	Dates	Length	Registration Deadline	Instructor
10447	Spring POT2	1/11-3/2	8 Weeks	1/17/2027	Amber Bloechle

Course Description:

This hands-on lab course is designed to complement the theoretical foundations covered in the GIS lecture course. It provides students with a practical and immersive experience in Geographic Information Systems (GIS), emphasizing fundamental concepts and techniques. By the end of this course, students will have gained the knowledge and skills necessary to apply GIS effectively in various professional and academic settings as well as developed a strong foundation for GIS project development, execution, and presentation. Offered concurrently with GIS 4043L where graduate students will be assigned additional work. Permission is required.

This table provides the course number, what term it is offered with dates, length of course, registration deadline and instructor.
This is a 6-column table with the header/column titles in the first row.
CRN	Term	Dates	Length	Registration Deadline	Instructor
10480	Spring POT3	3/5-5/1	8 Weeks	3/11/2027	Tanya Gallagher

Course Description:

The course focuses on the fundamentals of cartography, spatial statistics, thematic mapping techniques, and web-based mapping. Students will gain an interdisciplinary understanding of cartographic representation and visualization with hands-on applications using cutting-edge GIS software to create purpose-tailored maps. Upon successful completion of this course, students will be able to interpret and appropriately communicate spatial data; will have developed a personalized cartographic style; will have created a professional GIS portfolio for current/potential employers; and most importantly will have developed a keen appreciation for maps and spatial awareness. Offered concurrently with GIS 4006 where graduate students will be assigned additional work.

This table provides the course number, what term it is offered with dates, length of course, registration deadline and instructor.
This is a 6-column table with the header/column titles in the first row.
CRN	Term	Dates	Length	Registration Deadline	Instructor
10481	Spring POT3	3/5-5/1	8 Weeks	3/11/2027	Tanya Gallagher

Course Description:

The course focuses on the fundamentals of cartography, spatial statistics, thematic mapping techniques, and web-based mapping. Students will gain an interdisciplinary understanding of cartographic representation and visualization with hands-on applications using cutting-edge GIS software to create purpose-tailored maps. Upon successful completion of this course, students will be able to interpret and appropriately communicate spatial data; will have developed a personalized cartographic style; will have created a professional GIS portfolio for current/potential employers; and most importantly will have developed a keen appreciation for maps and spatial awareness. Prior to enrollment, students should be competent with the Windows operating system including storage, copying and management of multiple data types, managing multiple windows and applications, and discipline to save work frequently; basic competence with ArcGIS Pro and Microsoft Excel is recommended. Offered concurrently with GIS 4006L where graduate students will be assigned additional work.

This table provides the course number, what term it is offered with dates, length of course, registration deadline and instructor.
This is a 6-column table with the header/column titles in the first row.
CRN	Term	Dates	Length	Registration Deadline	Instructor
10221	Spring POT2	1/11-5/1	16 Weeks	1/17/2027	Amber Bloechle

Course Description:

GIS Internship is a supervised application of Geographic Information Science (GIS) in business, government, non-profit, educational, or other related organizations. The course has two major goals; to monitor the progress of students in their selected internships and to prepare students for the GIS workforce. This is one of the last courses required in the Graduate GIS Certificate program. Students completing a traditional internship (130 hours in the workplace) are classified as Group 1. Internships may be conducted on-site, remotely, or a mixture of the two. Up to 22 hours of experience completed through the seminar portion of the course may be contributed to internship hours if needed. Students unable to secure an internship will be classified as Group 2 and complete specified ESRI Training online courses totaling 130 hours. This course is taught completely online. The Canvas course site is designed to monitor students as they progress in their GIS Internship and provides activities and mechanisms that aid GIS career development. Seminar assignments include readings focusing on specific industries and related resources, recorded industry spotlight interviews, class discussions, and assignments that prepare students for the workforce. At the end of the course, students complete a GIS portfolio showcasing skills, best works throughout the GIS Certificate program or GIS minor courses, and a vetted resume. Offered concurrently with GIS 4944 where graduate students will be assigned additional work. Permission is required.

This table provides the course number, what term it is offered with dates, length of course, registration deadline and instructor.
This is a 6-column table with the header/column titles in the first row.
CRN	Term	Dates	Length	Registration Deadline	Instructor
NA	NA	NA	8 Weeks	NA	TBA

Course Description:

This course provides students the opportunity to develop a professional portfolio of AI-supported work that demonstrates mastery of appropriate AI platforms and their applications to the student's chosen professional field. Students will develop their own large project or series of linked projects integrating AI technology as one of the tools. Offered concurrently with IDS 5765. Graduate students will be assigned additional work.

This table provides the course number, what term it is offered with dates, length of course, registration deadline and instructor.
This is a 6-column table with the header/column titles in the first row.
CRN	Term	Dates	Length	Registration Deadline	Instructor
12849	Spring POT1	1/11-5/1	16 Weeks	1/17/2027	Julianna Costanzo
12852	Spring POT1	1/11-5/1	16 Weeks	1/17/2027	Julianna Costanzo

Course Description:

This course investigates the nature of artificial intelligence and the ethical questions raised by integrating artificial intelligence and big data into the social, political, and personal lives of today's citizens. Offered concurrently with PHI 5687. Graduate students will be assigned additional work.

This table provides the course number, what term it is offered with dates, length of course, registration deadline and instructor.
This is a 6-column table with the header/column titles in the first row.
CRN	Term	Dates	Length	Registration Deadline	Instructor
12092	Spring POT1	1/11-5/1	16 Weeks	1/17/2027	Jenea Wood

Course Description:

This course is designed to provide students with the skills necessary to integrate the tools made available through artificial intelligence into the practice of graphic design. Students will learn to use AI tools to enhance creativity and efficiency. Offered concurrently with GRA 5148. Graduate students will be assigned additional work.

This table provides the course number, what term it is offered with dates, length of course, registration deadline and instructor.
This is a 6-column table with the header/column titles in the first row.
CRN	Term	Dates	Length	Registration Deadline	Instructor
NA	NA	NA	8 Weeks	NA	NA

Course Description:

This course instructs students in the use of artificial intelligence to produce professional communication for strategic communications in a variety of environments, such as social media, press releases, and websites. Offered concurrently with COM 5385. Graduate students will be assigned additional work.

This table provides the course number, what term it is offered with dates, length of course, registration deadline and instructor.
This is a 6-column table with the header/column titles in the first row.
CRN	Term	Dates	Length	Registration Deadline	Instructor
NA	NA	NA	8 Weeks	NA	NA

Course Description:

This course will introduce students to the generative AI models and explore best practices in using AI tools to produce the kinds of writing demanded by today's workplace, such as proposal writing, email writing, grant writing, internal communications, website text and others. Offered concurrently with ENC 5605. Graduate students will be assigned additional work.

This table provides the course number, what term it is offered with dates, length of course, registration deadline and instructor.
This is a 6-column table with the header/column titles in the first row.
CRN	Term	Dates	Length	Registration Deadline	Instructor
12920	Spring POT3	3/5-5/1	8 Weeks	3/11/2027	Elizabeth Rasnick

Course Description:

This course covers an introduction to and applications of Artificial Intelligence (AI). Topics include but are not limited to the history and evolution of AI, the technical AI applications in domains such as healthcare, supply chain, business, transportation, law enforcement, arts and creative works, and social well-being. The course discusses new AI trends and opportunities, including Generative AI, Large Language Models, such as ChatGPT, and prompt engineering for improved productivity. It also covers AI technology best practices, ethics, and risks. The course is intended for anyone interested in AI and its applications and benefits to improve daily activities, processes, and productivity. Offered concurrently with CAI 5931. Graduate students will be assigned additional work. Open to students from any major, no prior background in AI required.

This table provides the course number, what term it is offered with dates, length of course, registration deadline and instructor.
This is a 6-column table with the header/column titles in the first row.
CRN	Term	Dates	Length	Registration Deadline	Instructor
11492	Spring POT1	1/11-5/1	16 Weeks	1/17/2027	Tony Al-Abed

Course Description:

Security+ includes important foundational principles for securing a network and managing risk. Access control, identity management and cryptography are important components of the course. Mitigation and deterrent techniques are provided to prevent network attacks and expose potential vulnerabilities. Successful completion of the CompTIA Security+ exam meets the "Information Assurance (I.A.) technical and management certification requirement" outlined by the U.S. Department of Defense. Non-degree seeking students will be required to pass an online pre-test with a minimum score of 80% prior to enrollment.

This table provides the course number, what term it is offered with dates, length of course, registration deadline and instructor.
This is a 6-column table with the header/column titles in the first row.
CRN	Term	Dates	Length	Registration Deadline	Instructor
12152	Spring POT2	1/11-3/2	8 Weeks	1/17/2027	Hossain Shahriar

Course Description:

As Artificial Intelligence is being used in our daily activities, it is imperative to be aware of its capabilities and applications to address existing and emerging cybersecurity threats. This course will provide an introduction to Artificial Intelligence, cybersecurity threats, machine learning, and how AI applications are developed using real world datasets to address cybersecurity related problems. Topics will include, but are not limited to, supervised and unsupervised machine learning techniques, and application of AI in solving cybersecurity related problems such as anomaly, spam email and malware detection. The course will be using hands-on practices using an environment such as Google Colab, where learners will be practicing how machine learning applications are developed and tested. Learners will be able to evaluate performance of AI applications using various metrics. The course will cover data preprocessing, AI risks and misuses, mitigation, and best practices.

This table provides the course number, what term it is offered with dates, length of course, registration deadline and instructor.
This is a 6-column table with the header/column titles in the first row.
CRN	Term	Dates	Length	Registration Deadline	Instructor
NA	NA	NA	8 Weeks	NA	NA

Course Description:

Data in the workplace is a course that guides students through an exploration of data including data integration, ethical considerations, identification of a problem of interest, interpretation of results, and written and oral presentations of findings. This asynchronous online course guides students through the applications of the fundamentals of statistics necessary for data description and analysis to enable data-driven decision-making in the context of the student’s discipline. This course does not count for mathematics credit for mathematics majors.

This table provides the course number, what term it is offered with dates, length of course, registration deadline and instructor.
This is a 6-column table with the header/column titles in the first row.
CRN	Term	Dates	Length	Registration Deadline	Instructor
11336	Spring POT2	1/11-3/2	8 Weeks	1/17/2027	Samantha Seals

Course Description:

Data in Society is a course that covers the essentials of data fluency and awareness from the perspective of the consumer of statistics. This asynchronous online course builds the fundamentals of statistics necessary for data description and analysis to enable data-driven decision-making in the context of the student’s discipline. This course does not count for mathematics credit for mathematics majors. Offered concurrently with STA 5015. Graduate students will be assigned additional work.

This table provides the course number, what term it is offered with dates, length of course, registration deadline and instructor.
This is a 6-column table with the header/column titles in the first row.
CRN	Term	Dates	Length	Registration Deadline	Instructor
12849	Spring POT1	1/11-5/1	16 Weeks	1/17/2027	Julianna Costanzo
12852	Spring POT1	1/11-5/1	16 Weeks	1/17/2027	Julianna Costanzo

Course Description:

This course investigates the nature of artificial intelligence and the ethical questions raised by integrating artificial intelligence and big data into the social, political, and personal lives of today's citizens. Offered concurrently with PHI 5687. Graduate students will be assigned additional work.

This table provides the course number, what term it is offered with dates, length of course, registration deadline and instructor.
This is a 6-column table with the header/column titles in the first row.
CRN	Term	Dates	Length	Registration Deadline	Instructor
11023	Spring POT2	1/11-3/2	8 Weeks	1/17/2027	Achraf Cohen
11486	Spring POT3	3/5-5/1	8 Weeks	3/11/2027	Achraf Cohen

Course Description:

Throughout the course, there will be hands-on exercises with computing resources. The course will include introductions to several packages in R, particularly Tidyverse, libraries in Python such as Pandas/NumPy/Statsmodels, SQL clauses and summary statistics, and Spark framework for distributed computing.

This table provides the course number, what term it is offered with dates, length of course, registration deadline and instructor.
This is a 6-column table with the header/column titles in the first row.
CRN	Term	Dates	Length	Registration Deadline	Instructor
11487	Spring POT2	1/11-3/2	8 Weeks	1/17/2027	Ann Aksut
11779	Spring POT3	3/5-5/1	8 Weeks	3/11/2027	Ann Aksut

Course Description:

Organizations can generate copious amounts of data. Extracting useful knowledge from data Warehouses to utilize in decision-making can provide a competitive advantage for an organization by identifying strengths and weaknesses. In this course, you will learn data warehouse organization, how to analyze data through analytical queries, and apply machine learning algorithms to build predictive models.

This table provides the course number, what term it is offered with dates, length of course, registration deadline and instructor.
This is a 6-column table with the header/column titles in the first row.
CRN	Term	Dates	Length	Registration Deadline	Instructor
11038	Spring POT2	1/11-3/2	8 Weeks	1/17/2027	Samantha Seals
11039	Spring POT3	3/5-5/1	8 Weeks	3/11/2027	Samantha Seals

Course Description:

This builds the fundamentals of statistics necessary for students to perform and interpret appropriate hypothesis tests using software based on the data and research questions at hand.

This table provides the course number, what term it is offered with dates, length of course, registration deadline and instructor.
This is a 6-column table with the header/column titles in the first row.
CRN	Term	Dates	Length	Registration Deadline	Instructor
11050	Fall POT2	1/11-3/2	8 Weeks	1/17/2027	Ranadeep Daw
11082	Fall POT3	3/5-5/1	8 Weeks	3/11/2027	Ranadeep Daw

Course Description:

Statistics for Data Science II is a second course in statistics for students in data science. This course covers the application of regression analysis techniques using softwares for statistical analysis. Broadly, students will learn how to construct statistical models and disseminate results to a wide audience. There will be a focus on choosing the appropriate modeling strategy for the data and research questions at hand.

This table provides the course number, what term it is offered with dates, length of course, registration deadline and instructor.
This is a 6-column table with the header/column titles in the first row.
CRN	Term	Dates	Length	Registration Deadline	Instructor
11488	Spring POT1	1/11-5/1	16 Weeks	1/17/2027	Maher Amer

Course Description:

Systematic methodology aimed at process improvement and waste elimination to achieve customer satisfaction and increase profits. Define-measure-analyze-improve-control (DMAIC) is used to understand and control project processes. Green Belt Six Sigma training and certification to facilitate supporting Black Belt Six Sigma project leads.

This table provides the course number, what term it is offered with dates, length of course, registration deadline and instructor.
This is a 6-column table with the header/column titles in the first row.
CRN	Term	Dates	Length	Registration Deadline	Instructor
11212	Spring POT1	1/11-5/1	16 Weeks	1/17/2027	Richard Hand
	Non-credit	Open Enrollment			Richard Hand

Course Description:

Covers the topics necessary to pass the Certified Solidworks Professional Exam.

This table provides the course number, what term it is offered with dates, length of course, registration deadline and instructor.
This is a 6-column table with the header/column titles in the first row.
CRN	Term	Dates	Length	Registration Deadline	Instructor
11213	Spring POT1	1/11-5/1	16 Weeks	1/17/2027	Michael Reynolds

Course Description:

Review of all areas of the Fundamentals of Engineering - Mechanical Exam. This course will prepare students to pass the exam.

CRN	Term	Dates	Length	Registration Deadline	Instructor
10947	Spring POT1	1/11 - 5/1	16 Weeks	1/17/2027	Jeffrey McGuirk

Course Description:

This course is designed to help prepare ECE senior students to take the FE exam, which is the first step in becoming a professional engineer. Course content will include review of relevant math, science, engineering economy, and ethics topics as well as fundamental concepts from the ECE engineering program including from such areas as circuits, electronics, controls, communications, electromagnetics, etc.

CRN	Term	Dates	Length	Registration Deadline	Instructor
11776	Spring POT1	1/11-5/1	16 Weeks	1/17/2027	Amy Diekmann

Course Description:

This course introduces the graphic principles and practices in engineering. This course includes the development of the basic drafting skills needed to produce civil and other engineering plans and graphical presentations. The elements of descriptive geometry are addressed. A major component of the course is an introduction to the fundamentals of computer-aided drafting and design (CADD).

This table provides the course number, what term it is offered with dates, length of course, registration deadline and instructor.
This is a 6-column table with the header/column titles in the first row.
CRN	Term	Dates	Length	Registration Deadline	Instructor
10352	Spring POT2	1/11-3/2	8 Weeks	1/17/2027	Amber Bloechle

Course Description:

This introductory course strives to provide a comprehensive understanding of Geographic Information Systems (GIS) by striking a balance between the "how-to" of GIS using ArcGIS Pro software and the "why" of Geographic Information Science. Through exploration and analysis of local, regional, and global problems, students will gain valuable insights into the world of geospatial science and technology. Explore the fundamental concepts of representing real-world geographic data in a digital format, setting the foundation for geospatial analysis. Construct spatial databases, including data modeling and data organization techniques, ensuring data integrity and efficiency. Learn the power of spatial database queries enabling the extraction of valuable insights. Gain proficiency in spatial analysis techniques, using GIS tools to answer complex spatial questions and solve real-world problems. Create visually compelling and informative maps and visualizations through the basic principles of cartographic design. Explore the wide-ranging applications of geospatial technology across various disciplines for both professional and research uses. The lecture component of the course provides students with the theoretical underpinnings of GIS, helping them grasp the core concepts and principles underlying geospatial technology. This course provides a dynamic and hands-on learning experience, equipping students with the knowledge and skills needed to excel in the field of GIS. Whether you are interested in environmental science, urban planning, or any other discipline that relies on spatial data, this course is your gateway to unlocking the potential of Geographic Information Systems. Offered concurrently with GIS 5050 where graduate students will be assigned additional work. Permission is required. Credit cannot be received for both GIS 4043 and GEO 4151.

This table provides the course number, what term it is offered with dates, length of course, registration deadline and instructor.
This is a 6-column table with the header/column titles in the first row.
CRN	Term	Dates	Length	Registration Deadline	Instructor
10353	Spring POT2	1/11-3/2	8 Weeks	1/17/2027	Amber Bloechle

Course Description:

This introductory course strives to provide a comprehensive understanding of Geographic Information Systems (GIS) by striking a balance between the "how-to" of GIS using ArcGIS Pro software and the "why" of Geographic Information Science. Through exploration and analysis of local, regional, and global problems, students will gain valuable insights into the world of geospatial science and technology. Explore the fundamental concepts of representing real-world geographic data in a digital format, setting the foundation for geospatial analysis. Construct spatial databases, including data modeling and data organization techniques, ensuring data integrity and efficiency. Learn the power of spatial database queries enabling the extraction of valuable insights. Gain proficiency in spatial analysis techniques, using GIS tools to answer complex spatial questions and solve real-world problems. Create visually compelling and informative maps and visualizations through the basic principles of cartographic design. Explore the wide-ranging applications of geospatial technology across various disciplines for both professional and research uses. The lecture component of the course provides students with the theoretical underpinnings of GIS, helping them grasp the core concepts and principles underlying geospatial technology. This course provides a dynamic and hands-on learning experience, equipping students with the knowledge and skills needed to excel in the field of GIS. Whether you are interested in environmental science, urban planning, or any other discipline that relies on spatial data, this course is your gateway to unlocking the potential of Geographic Information Systems. Offered concurrently with GIS 5050 where graduate students will be assigned additional work. Permission is required. Credit cannot be received for both GIS 4043 and GEO 4151.

This table provides the course number, what term it is offered with dates, length of course, registration deadline and instructor.
This is a 6-column table with the header/column titles in the first row.
CRN	Term	Dates	Length	Registration Deadline	Instructor
10388	Spring POT3	3/5-5/1	8 Weeks	3/11/2027	Tanya Gallagher

Course Description:

This introductory course strives to provide a comprehensive understanding of Geographic Information Systems (GIS) by striking a balance between the "how-to" of GIS using ArcGIS Pro software and the "why" of Geographic Information Science. Through exploration and analysis of local, regional, and global problems, students will gain valuable insights into the world of geospatial science and technology. Explore the fundamental concepts of representing real-world geographic data in a digital format, setting the foundation for geospatial analysis. Construct spatial databases, including data modeling and data organization techniques, ensuring data integrity and efficiency. Learn the power of spatial database queries enabling the extraction of valuable insights. Gain proficiency in spatial analysis techniques, using GIS tools to answer complex spatial questions and solve real-world problems. Create visually compelling and informative maps and visualizations through the basic principles of cartographic design. Explore the wide-ranging applications of geospatial technology across various disciplines for both professional and research uses. The lecture component of the course provides students with the theoretical underpinnings of GIS, helping them grasp the core concepts and principles underlying geospatial technology. This course provides a dynamic and hands-on learning experience, equipping students with the knowledge and skills needed to excel in the field of GIS. Whether you are interested in environmental science, urban planning, or any other discipline that relies on spatial data, this course is your gateway to unlocking the potential of Geographic Information Systems. Offered concurrently with GIS 5050 where graduate students will be assigned additional work. Permission is required. Credit cannot be received for both GIS 4043 and GEO 4151.

This table provides the course number, what term it is offered with dates, length of course, registration deadline and instructor.
This is a 6-column table with the header/column titles in the first row.
CRN	Term	Dates	Length	Registration Deadline	Instructor
10389	Spring POT3	3/5-5/1	8 Weeks	3/11/2027	Tanya Gallagher

Course Description:

This hands-on lab course is designed to complement the theoretical foundations covered in the GIS lecture course. It provides students with a practical and immersive experience in Geographic Information Systems (GIS), emphasizing fundamental concepts and techniques. By the end of this course, students will have gained the knowledge and skills necessary to apply GIS effectively in various professional and academic settings as well as developed a strong foundation for GIS project development, execution, and presentation. Equipment fees will be assessed. Offered concurrently with GIS 5050L where graduate students will be assigned additional work. Permission is required.

This table provides the course number, what term it is offered with dates, length of course, registration deadline and instructor.
This is a 6-column table with the header/column titles in the first row.
CRN	Term	Dates	Length	Registration Deadline	Instructor
12789	Spring POT2	1/11-5/1	16 Weeks	1/17/2027	Amber Bloechle

Course Description:

GIS Internship is a supervised application of Geographic Information Science (GIS) in business, government, non-profit, educational, or other related organizations. The course has two major goals; to monitor the progress of students in their selected internships and to prepare students for the GIS workforce. This is one of the last courses required in the GIS Certificate and GIS Minor. Students completing a traditional internship (130 hours in the workplace) are classified as Group 1. Internships may be conducted on-site, remotely, or a mixture of the two. Up to 22 hours of experience completed through the seminar portion of the course may be contributed to internship hours if needed. Students unable to secure an internship will be classified as Group 2 and complete specified ESRI Training online courses totaling 130 hours. This course is taught completely online. The Canvas course site is designed to monitor students as they progress in their GIS Internship and provides activities and mechanisms that aid GIS career development. Seminar assignments include readings focusing on specific industries and related resources, recorded industry spotlight interviews, class discussions, and assignments that prepare students for the workforce. At the end of the course, students complete a GIS portfolio showcasing skills, best works throughout the GIS Certificate program or GIS minor courses, and a vetted resume. Offered concurrently with GIS 5945 where graduate students will be assigned additional work. Permission is required.

Graduate

Advanced Data Science Graduate Certificate

AI in the Workplace Graduate Certificate

Cybersecurity Graduate Certificate

Data in the Workplace Graduate Certificate

Data Science Graduate Certificate

Essentials of AI and Generative AI Online Graduate Certificate

GIS Graduate Certificate

Undergraduate

AI in the Workplace Undergraduate Certificate

Cyber Technologies Undergraduate Certificate

Data in the Workplace Undergraduate Certificate

Data Science Undergraduate Certificate

Engineering Professional Undergraduate Certificate

GIS Undergraduate Certificate