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2025 Summer: May 7 - August 12

Course Class No. Section Start & End Date Day Time Status Location
CYOP 310 Reverse Engineering and Malware Analysis (3)
A lab-intensive study of reverse engineering and malware analysis techniques. The objective is to recognize, dissect, and remediate infections caused by malicious code and malware using modern tools and methodologies. Topics include malware analysis, reverse engineering, common malware patterns, assembly language, debuggers and obfuscation, and packing techniques.
Start date has passed. Please register for the next start date.
54665 6381 14 May 2025-08 Jul 2025 Open Online
Faculty: Syllabus Course Materials
CYOP 325 Detecting Software Vulnerabilities (3)
(Formerly SDEV 325.) Prerequisite: CYOP 300 or SDEV 300. An in-depth, practical application of techniques and tools for detecting and documenting software vulnerabilities and risks. The goal is to research, select, and use software to analyze code and isolate and prioritize application code and processes that could lead to failure or compromise data integrity or privacy. Topics include the top 25 software vulnerabilities, secure coding guidelines, static code analysis, and software assurance metrics. Students may receive credit for only one of the following courses: CYOP 325 or SDEV 325.
Start date has passed. Please register for the next start date.
53760 6380 14 May 2025-08 Jul 2025 Open Online
Faculty: Fair, Zachary Syllabus Course Materials
CYOP 325 Detecting Software Vulnerabilities (3)
(Formerly SDEV 325.) Prerequisite: CYOP 300 or SDEV 300. An in-depth, practical application of techniques and tools for detecting and documenting software vulnerabilities and risks. The goal is to research, select, and use software to analyze code and isolate and prioritize application code and processes that could lead to failure or compromise data integrity or privacy. Topics include the top 25 software vulnerabilities, secure coding guidelines, static code analysis, and software assurance metrics. Students may receive credit for only one of the following courses: CYOP 325 or SDEV 325.
53761 6980 11 Jun 2025-05 Aug 2025 Open Online
Faculty: Babcock, Mark A Syllabus Course Materials
CYOP 350 Database Security (3)
(Formerly SDEV 350.) Prerequisite: CMSC 320 or CYOP 200. A study of processes and techniques for securing databases. The objective is to design, build, and maintain databases to minimize risks and security attacks. Topics include privileges and roles, user accounts, encryption, authentication methods, and auditing. Students may receive credit for only one of the following courses: CYOP 350 or SDEV 350.
Start date has passed. Please register for the next start date.
53762 6380 14 May 2025-08 Jul 2025 Open Online
Faculty: Haseltine, Reginald Yagel Syllabus Course Materials
CYOP 350 Database Security (3)
(Formerly SDEV 350.) Prerequisite: CMSC 320 or CYOP 200. A study of processes and techniques for securing databases. The objective is to design, build, and maintain databases to minimize risks and security attacks. Topics include privileges and roles, user accounts, encryption, authentication methods, and auditing. Students may receive credit for only one of the following courses: CYOP 350 or SDEV 350.
53763 6980 11 Jun 2025-05 Aug 2025 Open Online
Faculty: Eyler, Carl W Syllabus Course Materials
CYOP 350 Database Security (3)
(Formerly SDEV 350.) Prerequisite: CMSC 320 or CYOP 200. A study of processes and techniques for securing databases. The objective is to design, build, and maintain databases to minimize risks and security attacks. Topics include privileges and roles, user accounts, encryption, authentication methods, and auditing. Students may receive credit for only one of the following courses: CYOP 350 or SDEV 350.
Start date has passed. Please register for the next start date.
54754 6381 14 May 2025-08 Jul 2025 Open Online
Faculty: Eyler, Carl W Syllabus Course Materials
CYOP 360 Secure Software Engineering (3)
(Formerly SDEV 360.) Prerequisite: CMSC 215 or CYOP 200. An in-depth study of the processes, standards, and regulations associated with secure software engineering. The objective is to plan, manage, document, and communicate all phases of a secure software development cycle. Topics include security requirements, secure software life cycle development, threat modeling, and Security Technical Implementation Guides (STIGs). Students may receive credit for only one of the following courses: CYOP 360 or SDEV 360.
53394 7650 11 Jun 2025-05 Aug 2025 M 6:30P-9:30P Open Dorsey Station (Hybrid)
Faculty: Syllabus Course Materials
Note: Dorsey Station: Classroom assignments are subject to change. Please view the electronic board in the hallway for your classroom assignment.
CYOP 360 Secure Software Engineering (3)
(Formerly SDEV 360.) Prerequisite: CMSC 215 or CYOP 200. An in-depth study of the processes, standards, and regulations associated with secure software engineering. The objective is to plan, manage, document, and communicate all phases of a secure software development cycle. Topics include security requirements, secure software life cycle development, threat modeling, and Security Technical Implementation Guides (STIGs). Students may receive credit for only one of the following courses: CYOP 360 or SDEV 360.
Start date has passed. Please register for the next start date.
53764 6380 14 May 2025-08 Jul 2025 Open Online
Faculty: Nebhnani, Puran C Syllabus Course Materials
CYOP 360 Secure Software Engineering (3)
(Formerly SDEV 360.) Prerequisite: CMSC 215 or CYOP 200. An in-depth study of the processes, standards, and regulations associated with secure software engineering. The objective is to plan, manage, document, and communicate all phases of a secure software development cycle. Topics include security requirements, secure software life cycle development, threat modeling, and Security Technical Implementation Guides (STIGs). Students may receive credit for only one of the following courses: CYOP 360 or SDEV 360.
53765 6980 11 Jun 2025-05 Aug 2025 Open Online
Faculty: Bellack, Ryan J Syllabus Course Materials
CYOP 400 Secure Programming in the Cloud (3)
(Formerly SDEV 400.) Prerequisite: CYOP 300 or SDEV 300. A hands-on study of programming secure applications in the cloud. The goal is to design and build applications in the cloud while implementing appropriate security policies. Topics include cloud computing models, risks and security challenges of programming in the cloud, and data security. Students may receive credit for only one of the following courses: CYOP 400 or SDEV 400.
Start date has passed. Please register for the next start date.
53768 6380 14 May 2025-08 Jul 2025 Open Online
Faculty: Poma, Craig A Syllabus Course Materials
CYOP 400 Secure Programming in the Cloud (3)
(Formerly SDEV 400.) Prerequisite: CYOP 300 or SDEV 300. A hands-on study of programming secure applications in the cloud. The goal is to design and build applications in the cloud while implementing appropriate security policies. Topics include cloud computing models, risks and security challenges of programming in the cloud, and data security. Students may receive credit for only one of the following courses: CYOP 400 or SDEV 400.
53771 6980 11 Jun 2025-05 Aug 2025 Open Online
Faculty: Donoho, Lucas M. Syllabus Course Materials
CYOP 425 Mitigating Software Vulnerabilities (3)
(Formerly SDEV 425.) Prerequisites: CYOP 325 (or SDEV 325) and CYOP 360 (or SDEV 360). An in-depth analysis and evaluation of the mitigation of software vulnerabilities. The aim is to detect and mitigate software vulnerabilities by evaluating code. Topics include language-specific software vulnerabilities, mitigation, and input validation. Students may receive credit for only one of the following courses: CYOP 425 or SDEV 425.
Start date has passed. Please register for the next start date.
53774 6380 14 May 2025-08 Jul 2025 Open Online
Faculty: Taylor, Matthew A Syllabus Course Materials
CYOP 425 Mitigating Software Vulnerabilities (3)
(Formerly SDEV 425.) Prerequisites: CYOP 325 (or SDEV 325) and CYOP 360 (or SDEV 360). An in-depth analysis and evaluation of the mitigation of software vulnerabilities. The aim is to detect and mitigate software vulnerabilities by evaluating code. Topics include language-specific software vulnerabilities, mitigation, and input validation. Students may receive credit for only one of the following courses: CYOP 425 or SDEV 425.
53777 6980 11 Jun 2025-05 Aug 2025 Open Online
Faculty: Khan, Muhammad A Syllabus Course Materials
CYOP 460 Software Security Testing (3)
(Formerly SDEV 460.) Prerequisite: SDEV 425. A hands-on study of exploits, attacks, and techniques used to penetrate application security defenses and strategies for mitigating such attacks. The objective is to apply appropriate methodologies for software penetration testing to identify application weaknesses and logic flaws and to test and create scripts for exploitation and discovery. Topics include web architecture, application infrastructure, reconnaissance, discovery, mapping, and exploitation. Students may receive credit for only one of the following courses: CYOP 460 or SDEV 460.
Start date has passed. Please register for the next start date.
53679 6380 14 May 2025-08 Jul 2025 Open Online
Faculty: Waithe, Errol S. Syllabus Course Materials
CYOP 460 Software Security Testing (3)
(Formerly SDEV 460.) Prerequisite: SDEV 425. A hands-on study of exploits, attacks, and techniques used to penetrate application security defenses and strategies for mitigating such attacks. The objective is to apply appropriate methodologies for software penetration testing to identify application weaknesses and logic flaws and to test and create scripts for exploitation and discovery. Topics include web architecture, application infrastructure, reconnaissance, discovery, mapping, and exploitation. Students may receive credit for only one of the following courses: CYOP 460 or SDEV 460.
53680 6980 11 Jun 2025-05 Aug 2025 Open Online
Faculty: Johnson, Kyle L Syllabus Course Materials
CYOP 495 Cyber Operations Capstone (3)
Prerequisite: 27 credits of Cyber Operations major coursework. A comprehensive project-driven study of cyber operations, network collection tactics, techniques, and procedures and reverse engineering and malware analysis with an emphasis on the proactive response to triggers or unusual activity. The objective is to use appropriate tools and techniques to monitor cyber operations. Topics include wireless and virtual networks, cryptography, network monitoring and intrusion analysis, threat hunting, and secure software engineering.
Start date has passed. Please register for the next start date.
53681 6380 14 May 2025-08 Jul 2025 Open Online
Faculty: Henry, Clayton Andrew Syllabus Course Materials
CYOP 495 Cyber Operations Capstone (3)
Prerequisite: 27 credits of Cyber Operations major coursework. A comprehensive project-driven study of cyber operations, network collection tactics, techniques, and procedures and reverse engineering and malware analysis with an emphasis on the proactive response to triggers or unusual activity. The objective is to use appropriate tools and techniques to monitor cyber operations. Topics include wireless and virtual networks, cryptography, network monitoring and intrusion analysis, threat hunting, and secure software engineering.
53682 6980 11 Jun 2025-05 Aug 2025 Open Online
Faculty: Klein, Jamy D Syllabus Course Materials
DATA 200 Data Literacy Foundations (3)
An introduction to data and data literacy for students of all majors to enhance their ability to understand and work in today's data-driven world. The aim is to collect, manage, evaluate and apply data in a critical manner and examine the role, significance, and implications of data, including ethical issues within a society, in organizations, or for individuals. Developing skills in data manipulation, analysis, and visualization, students will generate insights from data, build knowledge, and make decisions. Topics include the effective use of cloud-based data storage, collaboration and communication techniques.
Start date has passed. Please register for the next start date.
51605 6380 14 May 2025-08 Jul 2025 Open Online
Faculty: Kinzel, Beate Syllabus Course Materials
DATA 200 Data Literacy Foundations (3)
An introduction to data and data literacy for students of all majors to enhance their ability to understand and work in today's data-driven world. The aim is to collect, manage, evaluate and apply data in a critical manner and examine the role, significance, and implications of data, including ethical issues within a society, in organizations, or for individuals. Developing skills in data manipulation, analysis, and visualization, students will generate insights from data, build knowledge, and make decisions. Topics include the effective use of cloud-based data storage, collaboration and communication techniques.
Start date has passed. Please register for the next start date.
51690 6381 14 May 2025-08 Jul 2025 Open Online
Faculty: Green, Toni Syllabus Course Materials
DATA 200 Data Literacy Foundations (3)
An introduction to data and data literacy for students of all majors to enhance their ability to understand and work in today's data-driven world. The aim is to collect, manage, evaluate and apply data in a critical manner and examine the role, significance, and implications of data, including ethical issues within a society, in organizations, or for individuals. Developing skills in data manipulation, analysis, and visualization, students will generate insights from data, build knowledge, and make decisions. Topics include the effective use of cloud-based data storage, collaboration and communication techniques.
Start date has passed. Please register for the next start date.
51741 6382 14 May 2025-08 Jul 2025 Open Online
Faculty: Eltomy, Reham Syllabus Course Materials
DATA 200 Data Literacy Foundations (3)
An introduction to data and data literacy for students of all majors to enhance their ability to understand and work in today's data-driven world. The aim is to collect, manage, evaluate and apply data in a critical manner and examine the role, significance, and implications of data, including ethical issues within a society, in organizations, or for individuals. Developing skills in data manipulation, analysis, and visualization, students will generate insights from data, build knowledge, and make decisions. Topics include the effective use of cloud-based data storage, collaboration and communication techniques.
Start date has passed. Please register for the next start date.
51851 6383 14 May 2025-08 Jul 2025 Open Online
Faculty: Gathoni, Priscilla Syllabus Course Materials
DATA 200 Data Literacy Foundations (3)
An introduction to data and data literacy for students of all majors to enhance their ability to understand and work in today's data-driven world. The aim is to collect, manage, evaluate and apply data in a critical manner and examine the role, significance, and implications of data, including ethical issues within a society, in organizations, or for individuals. Developing skills in data manipulation, analysis, and visualization, students will generate insights from data, build knowledge, and make decisions. Topics include the effective use of cloud-based data storage, collaboration and communication techniques.
Start date has passed. Please register for the next start date.
52054 6384 14 May 2025-08 Jul 2025 Open Online
Faculty: Kamai, Moses M Syllabus Course Materials
DATA 200 Data Literacy Foundations (3)
An introduction to data and data literacy for students of all majors to enhance their ability to understand and work in today's data-driven world. The aim is to collect, manage, evaluate and apply data in a critical manner and examine the role, significance, and implications of data, including ethical issues within a society, in organizations, or for individuals. Developing skills in data manipulation, analysis, and visualization, students will generate insights from data, build knowledge, and make decisions. Topics include the effective use of cloud-based data storage, collaboration and communication techniques.
52845 6980 11 Jun 2025-05 Aug 2025 Open Online
Faculty: Kulkarni, Shankar A Syllabus Course Materials
DATA 200 Data Literacy Foundations (3)
An introduction to data and data literacy for students of all majors to enhance their ability to understand and work in today's data-driven world. The aim is to collect, manage, evaluate and apply data in a critical manner and examine the role, significance, and implications of data, including ethical issues within a society, in organizations, or for individuals. Developing skills in data manipulation, analysis, and visualization, students will generate insights from data, build knowledge, and make decisions. Topics include the effective use of cloud-based data storage, collaboration and communication techniques.
52964 6981 11 Jun 2025-05 Aug 2025 Closed Online
Faculty: Ezzati, Parinaz Syllabus Course Materials
DATA 200 Data Literacy Foundations (3)
An introduction to data and data literacy for students of all majors to enhance their ability to understand and work in today's data-driven world. The aim is to collect, manage, evaluate and apply data in a critical manner and examine the role, significance, and implications of data, including ethical issues within a society, in organizations, or for individuals. Developing skills in data manipulation, analysis, and visualization, students will generate insights from data, build knowledge, and make decisions. Topics include the effective use of cloud-based data storage, collaboration and communication techniques.
52995 6982 11 Jun 2025-05 Aug 2025 Closed Online
Faculty: Kinzel, Beate Syllabus Course Materials
DATA 200 Data Literacy Foundations (3)
An introduction to data and data literacy for students of all majors to enhance their ability to understand and work in today's data-driven world. The aim is to collect, manage, evaluate and apply data in a critical manner and examine the role, significance, and implications of data, including ethical issues within a society, in organizations, or for individuals. Developing skills in data manipulation, analysis, and visualization, students will generate insights from data, build knowledge, and make decisions. Topics include the effective use of cloud-based data storage, collaboration and communication techniques.
53182 6983 11 Jun 2025-05 Aug 2025 Open Online
Faculty: Crombie, George W Syllabus Course Materials
DATA 200 Data Literacy Foundations (3)
An introduction to data and data literacy for students of all majors to enhance their ability to understand and work in today's data-driven world. The aim is to collect, manage, evaluate and apply data in a critical manner and examine the role, significance, and implications of data, including ethical issues within a society, in organizations, or for individuals. Developing skills in data manipulation, analysis, and visualization, students will generate insights from data, build knowledge, and make decisions. Topics include the effective use of cloud-based data storage, collaboration and communication techniques.
53395 4020 14 May 2025-08 Jul 2025 W 6:30P-9:30P Open College Park (Hybrid)
Faculty: Jemberie, Chalachew T Bldg/Room: Susquehanna Hall 1117 Syllabus Course Materials
DATA 200 Data Literacy Foundations (3)
An introduction to data and data literacy for students of all majors to enhance their ability to understand and work in today's data-driven world. The aim is to collect, manage, evaluate and apply data in a critical manner and examine the role, significance, and implications of data, including ethical issues within a society, in organizations, or for individuals. Developing skills in data manipulation, analysis, and visualization, students will generate insights from data, build knowledge, and make decisions. Topics include the effective use of cloud-based data storage, collaboration and communication techniques.
Start date has passed. Please register for the next start date.
54776 6385 14 May 2025-08 Jul 2025 Open Online
Faculty: Mintz, Rhonda S Syllabus Course Materials
DATA 230 Mathematics for Data Science (3)
Prerequisites: STAT 200 and MATH 115 (or MATH 107 and MATH 108) or higher. A practical introduction to the mathematical principles applied within the context of data science. The aim is to understand the mathematical basis of data science and increase awareness of machine learning algorithm assumptions and limitations. Machine learning topics include linear regression, dimensionality reduction, and classification. Projects involve application of linear algebra, probability, vector calculus, and optimization to build data science solutions.
Start date has passed. Please register for the next start date.
51966 6380 14 May 2025-08 Jul 2025 Open Online
Faculty: Martin, Ulyana P Syllabus Course Materials
DATA 230 Mathematics for Data Science (3)
Prerequisites: STAT 200 and MATH 115 (or MATH 107 and MATH 108) or higher. A practical introduction to the mathematical principles applied within the context of data science. The aim is to understand the mathematical basis of data science and increase awareness of machine learning algorithm assumptions and limitations. Machine learning topics include linear regression, dimensionality reduction, and classification. Projects involve application of linear algebra, probability, vector calculus, and optimization to build data science solutions.
53105 6980 11 Jun 2025-05 Aug 2025 Open Online
Faculty: Holmes, Matthew R Syllabus Course Materials
DATA 230 Mathematics for Data Science (3)
Prerequisites: STAT 200 and MATH 115 (or MATH 107 and MATH 108) or higher. A practical introduction to the mathematical principles applied within the context of data science. The aim is to understand the mathematical basis of data science and increase awareness of machine learning algorithm assumptions and limitations. Machine learning topics include linear regression, dimensionality reduction, and classification. Projects involve application of linear algebra, probability, vector calculus, and optimization to build data science solutions.
Start date has passed. Please register for the next start date.
54403 6381 14 May 2025-08 Jul 2025 Open Online
Faculty: Moustafa, Rida E Syllabus Course Materials
DATA 300 Foundations of Data Science (3)
Prerequisite: STAT 200. An examination of the role of data science within business and society. The goal is to identify a problem, collect and analyze data, select the most appropriate analytical methodology based on the context of the business problem, build a model, and understand the feedback after model deployment. Emphasis is on the process of acquiring, cleaning, exploring, analyzing, and communicating data obtained from variety of sources. Assignments require working with data in programming languages such as Python, wrangling data programmatically and preparing data for analysis, using libraries like NumPy and Pandas.
Start date has passed. Please register for the next start date.
51606 6380 14 May 2025-08 Jul 2025 Open Online
Faculty: Elizes, Romerl Syllabus Course Materials
DATA 300 Foundations of Data Science (3)
Prerequisite: STAT 200. An examination of the role of data science within business and society. The goal is to identify a problem, collect and analyze data, select the most appropriate analytical methodology based on the context of the business problem, build a model, and understand the feedback after model deployment. Emphasis is on the process of acquiring, cleaning, exploring, analyzing, and communicating data obtained from variety of sources. Assignments require working with data in programming languages such as Python, wrangling data programmatically and preparing data for analysis, using libraries like NumPy and Pandas.
Start date has passed. Please register for the next start date.
51691 6381 14 May 2025-08 Jul 2025 Open Online
Faculty: Zimmer, Janet M Syllabus Course Materials
DATA 300 Foundations of Data Science (3)
Prerequisite: STAT 200. An examination of the role of data science within business and society. The goal is to identify a problem, collect and analyze data, select the most appropriate analytical methodology based on the context of the business problem, build a model, and understand the feedback after model deployment. Emphasis is on the process of acquiring, cleaning, exploring, analyzing, and communicating data obtained from variety of sources. Assignments require working with data in programming languages such as Python, wrangling data programmatically and preparing data for analysis, using libraries like NumPy and Pandas.
Start date has passed. Please register for the next start date.
52086 6382 14 May 2025-08 Jul 2025 Open Online
Faculty: Burkhardt, Michael H Syllabus Course Materials
DATA 300 Foundations of Data Science (3)
Prerequisite: STAT 200. An examination of the role of data science within business and society. The goal is to identify a problem, collect and analyze data, select the most appropriate analytical methodology based on the context of the business problem, build a model, and understand the feedback after model deployment. Emphasis is on the process of acquiring, cleaning, exploring, analyzing, and communicating data obtained from variety of sources. Assignments require working with data in programming languages such as Python, wrangling data programmatically and preparing data for analysis, using libraries like NumPy and Pandas.
52965 6980 11 Jun 2025-05 Aug 2025 Closed Online
Faculty: Momtaz, Maliha Syllabus Course Materials
DATA 300 Foundations of Data Science (3)
Prerequisite: STAT 200. An examination of the role of data science within business and society. The goal is to identify a problem, collect and analyze data, select the most appropriate analytical methodology based on the context of the business problem, build a model, and understand the feedback after model deployment. Emphasis is on the process of acquiring, cleaning, exploring, analyzing, and communicating data obtained from variety of sources. Assignments require working with data in programming languages such as Python, wrangling data programmatically and preparing data for analysis, using libraries like NumPy and Pandas.
53024 6982 11 Jun 2025-05 Aug 2025 Open Online
Faculty: Wardeh, Mohammed A Syllabus Course Materials
DATA 300 Foundations of Data Science (3)
Prerequisite: STAT 200. An examination of the role of data science within business and society. The goal is to identify a problem, collect and analyze data, select the most appropriate analytical methodology based on the context of the business problem, build a model, and understand the feedback after model deployment. Emphasis is on the process of acquiring, cleaning, exploring, analyzing, and communicating data obtained from variety of sources. Assignments require working with data in programming languages such as Python, wrangling data programmatically and preparing data for analysis, using libraries like NumPy and Pandas.
53396 7620 14 May 2025-08 Jul 2025 W 6:30P-9:30P Open Dorsey Station (Hybrid)
Faculty: Eltomy, Reham Syllabus Course Materials
Note: Dorsey Station: Classroom assignments are subject to change. Please view the electronic board in the hallway for your classroom assignment.
DATA 320 Introduction to Data Analytics (3)
Formerly DATA 220. Prerequisite: STAT 200. A practical introduction to the methodology, practices, and requirements of data science to ensure that data is relevant and properly manipulated to solve problems and address a variety of real-world projects and business scenarios. Focus is on the application of foundational statistical concepts to describing datasets with summary statistics, simple data visualizations, statistical inference, and predictive analytics. The objective is to use data to draw conclusions about the underlying patterns that drive everyday problems through probability, hypothesis testing, and linear model building.
Start date has passed. Please register for the next start date.
51669 6380 14 May 2025-08 Jul 2025 Open Online
Faculty: Dean, Michael Syllabus Course Materials
DATA 320 Introduction to Data Analytics (3)
Formerly DATA 220. Prerequisite: STAT 200. A practical introduction to the methodology, practices, and requirements of data science to ensure that data is relevant and properly manipulated to solve problems and address a variety of real-world projects and business scenarios. Focus is on the application of foundational statistical concepts to describing datasets with summary statistics, simple data visualizations, statistical inference, and predictive analytics. The objective is to use data to draw conclusions about the underlying patterns that drive everyday problems through probability, hypothesis testing, and linear model building.
Start date has passed. Please register for the next start date.
51692 6381 14 May 2025-08 Jul 2025 Open Online
Faculty: Pearson, Christy Lynn Syllabus Course Materials
DATA 320 Introduction to Data Analytics (3)
Formerly DATA 220. Prerequisite: STAT 200. A practical introduction to the methodology, practices, and requirements of data science to ensure that data is relevant and properly manipulated to solve problems and address a variety of real-world projects and business scenarios. Focus is on the application of foundational statistical concepts to describing datasets with summary statistics, simple data visualizations, statistical inference, and predictive analytics. The objective is to use data to draw conclusions about the underlying patterns that drive everyday problems through probability, hypothesis testing, and linear model building.
52950 6980 11 Jun 2025-05 Aug 2025 Open Online
Faculty: Thomas, Sunela S Syllabus Course Materials
DATA 320 Introduction to Data Analytics (3)
Formerly DATA 220. Prerequisite: STAT 200. A practical introduction to the methodology, practices, and requirements of data science to ensure that data is relevant and properly manipulated to solve problems and address a variety of real-world projects and business scenarios. Focus is on the application of foundational statistical concepts to describing datasets with summary statistics, simple data visualizations, statistical inference, and predictive analytics. The objective is to use data to draw conclusions about the underlying patterns that drive everyday problems through probability, hypothesis testing, and linear model building.
53175 6981 11 Jun 2025-05 Aug 2025 Open Online
Faculty: Dean, Michael Syllabus Course Materials
DATA 320 Introduction to Data Analytics (3)
Formerly DATA 220. Prerequisite: STAT 200. A practical introduction to the methodology, practices, and requirements of data science to ensure that data is relevant and properly manipulated to solve problems and address a variety of real-world projects and business scenarios. Focus is on the application of foundational statistical concepts to describing datasets with summary statistics, simple data visualizations, statistical inference, and predictive analytics. The objective is to use data to draw conclusions about the underlying patterns that drive everyday problems through probability, hypothesis testing, and linear model building.
Start date has passed. Please register for the next start date.
54838 6382 14 May 2025-08 Jul 2025 Open Online
Faculty: Holmes, Matthew R Syllabus Course Materials
DATA 330 Business Intelligence and Data Management (3)
A hands-on, project-based introduction to databases, business intelligence, and data management. The aim is to design secure industry-standard databases and utilize business intelligence and data management techniques and technologies to support decision making. Topics include data and relational databases, SQL queries, business intelligence tools and overall alignment with business strategy. Students may receive credit for only one of the following courses: DATA 330 or IFSM 330.
Start date has passed. Please register for the next start date.
54036 6380 14 May 2025-08 Jul 2025 Open Online
Faculty: Mintz, Renae S Syllabus Course Materials
DATA 330 Business Intelligence and Data Management (3)
A hands-on, project-based introduction to databases, business intelligence, and data management. The aim is to design secure industry-standard databases and utilize business intelligence and data management techniques and technologies to support decision making. Topics include data and relational databases, SQL queries, business intelligence tools and overall alignment with business strategy. Students may receive credit for only one of the following courses: DATA 330 or IFSM 330.
Start date has passed. Please register for the next start date.
54037 6381 14 May 2025-08 Jul 2025 Open Online
Faculty: King, Brandon I Syllabus Course Materials
DATA 330 Business Intelligence and Data Management (3)
A hands-on, project-based introduction to databases, business intelligence, and data management. The aim is to design secure industry-standard databases and utilize business intelligence and data management techniques and technologies to support decision making. Topics include data and relational databases, SQL queries, business intelligence tools and overall alignment with business strategy. Students may receive credit for only one of the following courses: DATA 330 or IFSM 330.
Start date has passed. Please register for the next start date.
54038 6382 14 May 2025-08 Jul 2025 Open Online
Faculty: Tran, Anh L Syllabus Course Materials
DATA 330 Business Intelligence and Data Management (3)
A hands-on, project-based introduction to databases, business intelligence, and data management. The aim is to design secure industry-standard databases and utilize business intelligence and data management techniques and technologies to support decision making. Topics include data and relational databases, SQL queries, business intelligence tools and overall alignment with business strategy. Students may receive credit for only one of the following courses: DATA 330 or IFSM 330.
54039 6980 11 Jun 2025-05 Aug 2025 Open Online
Faculty: Mintz, Renae S Syllabus Course Materials
DATA 330 Business Intelligence and Data Management (3)
A hands-on, project-based introduction to databases, business intelligence, and data management. The aim is to design secure industry-standard databases and utilize business intelligence and data management techniques and technologies to support decision making. Topics include data and relational databases, SQL queries, business intelligence tools and overall alignment with business strategy. Students may receive credit for only one of the following courses: DATA 330 or IFSM 330.
54040 6981 11 Jun 2025-05 Aug 2025 Open Online
Faculty: Mintz, Rhonda S Syllabus Course Materials
DATA 330 Business Intelligence and Data Management (3)
A hands-on, project-based introduction to databases, business intelligence, and data management. The aim is to design secure industry-standard databases and utilize business intelligence and data management techniques and technologies to support decision making. Topics include data and relational databases, SQL queries, business intelligence tools and overall alignment with business strategy. Students may receive credit for only one of the following courses: DATA 330 or IFSM 330.
54041 6982 11 Jun 2025-05 Aug 2025 Open Online
Faculty: Clay, Christopher Syllabus Course Materials
DATA 330 Business Intelligence and Data Management (3)
A hands-on, project-based introduction to databases, business intelligence, and data management. The aim is to design secure industry-standard databases and utilize business intelligence and data management techniques and technologies to support decision making. Topics include data and relational databases, SQL queries, business intelligence tools and overall alignment with business strategy. Students may receive credit for only one of the following courses: DATA 330 or IFSM 330.
Start date has passed. Please register for the next start date.
54865 6383 14 May 2025-08 Jul 2025 Open Online
Faculty: Thomas, Sunela S Syllabus Course Materials
DATA 335 Data Visualization (3)
Prerequisite: DATA 320. An overview of the fundamentals of data visualization principles in the context of business and data science. Practical focus on data visualization of different data types including time series, multidimensional data, creating dynamic tables, heatmaps, infographs, and dashboards. Hands on projects will require exploring data visually at multiple levels to find insights to create a compelling story and incorporating visual design best practices to better communicate insights to the intended audience, such as business stakeholders. Projects are selected from a wide range of content areas such as retail, marketing, healthcare, government, basic sciences, and technology.
Start date has passed. Please register for the next start date.
51607 6380 14 May 2025-08 Jul 2025 Open Online
Faculty: Alvarado, Eric Syllabus Course Materials
DATA 335 Data Visualization (3)
Prerequisite: DATA 320. An overview of the fundamentals of data visualization principles in the context of business and data science. Practical focus on data visualization of different data types including time series, multidimensional data, creating dynamic tables, heatmaps, infographs, and dashboards. Hands on projects will require exploring data visually at multiple levels to find insights to create a compelling story and incorporating visual design best practices to better communicate insights to the intended audience, such as business stakeholders. Projects are selected from a wide range of content areas such as retail, marketing, healthcare, government, basic sciences, and technology.
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52016 6381 14 May 2025-08 Jul 2025 Open Online
Faculty: Kamal, Tariq Syllabus Course Materials
DATA 335 Data Visualization (3)
Prerequisite: DATA 320. An overview of the fundamentals of data visualization principles in the context of business and data science. Practical focus on data visualization of different data types including time series, multidimensional data, creating dynamic tables, heatmaps, infographs, and dashboards. Hands on projects will require exploring data visually at multiple levels to find insights to create a compelling story and incorporating visual design best practices to better communicate insights to the intended audience, such as business stakeholders. Projects are selected from a wide range of content areas such as retail, marketing, healthcare, government, basic sciences, and technology.
52966 6980 11 Jun 2025-05 Aug 2025 Open Online
Faculty: Pearson, Christy Lynn Syllabus Course Materials
DATA 430 Foundations of Machine Learning (3)
Prerequisite: DATA 300. A hands-on introduction to machine learning principles and methods that can be applied to solve practical problems. Topics include supervised and unsupervised learning, especially linear regression, logistic regression, decision tree, naïve Bayes, and clustering analysis. Focus is on using data from a wide range of domains, such as healthcare, finance, marketing, and government, to build predictive models for informed decision-making. Discussion also covers handling missing data, performing cross-validation to avoid overtraining, evaluating classifiers, and measuring precision.
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51608 6380 14 May 2025-08 Jul 2025 Closed Online
Faculty: Guevara, Yamil E Syllabus Course Materials
DATA 430 Foundations of Machine Learning (3)
Prerequisite: DATA 300. A hands-on introduction to machine learning principles and methods that can be applied to solve practical problems. Topics include supervised and unsupervised learning, especially linear regression, logistic regression, decision tree, naïve Bayes, and clustering analysis. Focus is on using data from a wide range of domains, such as healthcare, finance, marketing, and government, to build predictive models for informed decision-making. Discussion also covers handling missing data, performing cross-validation to avoid overtraining, evaluating classifiers, and measuring precision.
52967 6980 11 Jun 2025-05 Aug 2025 Open Online
Faculty: Chesney, Steve L Syllabus Course Materials
DATA 430 Foundations of Machine Learning (3)
Prerequisite: DATA 300. A hands-on introduction to machine learning principles and methods that can be applied to solve practical problems. Topics include supervised and unsupervised learning, especially linear regression, logistic regression, decision tree, naïve Bayes, and clustering analysis. Focus is on using data from a wide range of domains, such as healthcare, finance, marketing, and government, to build predictive models for informed decision-making. Discussion also covers handling missing data, performing cross-validation to avoid overtraining, evaluating classifiers, and measuring precision.
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54520 6381 14 May 2025-08 Jul 2025 Open Online
Faculty: George, Ajish D Syllabus Course Materials
DATA 440 Advanced Machine Learning (3)
Prerequisites: DATA 230 and DATA 430. A project-based study of advanced concepts and applications in machine learning (ML) such as neural networks, support vector machines (SVM), ensemble models, deep learning, and reinforced learning. Emphasis is on building predictive models for practical business and social problems, developing complex and explainable predictive models, assessing classifiers, and comparing their performance. All stages of the machine learning life cycles are developed, following industry best practices for selecting methods and tools to build ML models, including Auto ML.
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51667 6380 14 May 2025-08 Jul 2025 Open Online
Faculty: Cook, John A Syllabus Course Materials
DATA 440 Advanced Machine Learning (3)
Prerequisites: DATA 230 and DATA 430. A project-based study of advanced concepts and applications in machine learning (ML) such as neural networks, support vector machines (SVM), ensemble models, deep learning, and reinforced learning. Emphasis is on building predictive models for practical business and social problems, developing complex and explainable predictive models, assessing classifiers, and comparing their performance. All stages of the machine learning life cycles are developed, following industry best practices for selecting methods and tools to build ML models, including Auto ML.
52947 6980 11 Jun 2025-05 Aug 2025 Open Online
Faculty: Jemberie, Chalachew T Syllabus Course Materials
DATA 445 Advanced Data Science (3)
Prerequisites: DATA 335 and DATA 430. A project-based introduction to the concepts, approaches, techniques, and technologies for managing and analyzing large data sets in support of improved decision making. Activities include using technologies such as Spark, Hive, Pig, Kafka, Hadoop, HBase, Flume, Cassandra, cloud analytics, container architectures, and streaming real-time platforms. Discussion covers how to identify the kinds of analyses to use with big data and how to interpret the results.
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51978 6380 14 May 2025-08 Jul 2025 Open Online
Faculty: Dave, Linesh Ramesh Syllabus Course Materials
DATA 445 Advanced Data Science (3)
Prerequisites: DATA 335 and DATA 430. A project-based introduction to the concepts, approaches, techniques, and technologies for managing and analyzing large data sets in support of improved decision making. Activities include using technologies such as Spark, Hive, Pig, Kafka, Hadoop, HBase, Flume, Cassandra, cloud analytics, container architectures, and streaming real-time platforms. Discussion covers how to identify the kinds of analyses to use with big data and how to interpret the results.
52948 6980 11 Jun 2025-05 Aug 2025 Open Online
Faculty: Bean, Brandon Syllabus Course Materials
DATA 450 Data Ethics (3)
Prerequisite: DATA 430. A study of ethics within the context of data science, machine learning, and artificial intelligence. Emphasis is on examining data and model bias; building explainable, fair, trustable, and accurate predictive modeling systems; and reporting responsible results. Topics include the technology implications of human-centered machine learning and artificial intelligence on decision making in organizations and government and the broader impact on society, including multinational and global effects.
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51668 6380 14 May 2025-08 Jul 2025 Open Online
Faculty: Duan, Chaojie Syllabus Course Materials
DATA 450 Data Ethics (3)
Prerequisite: DATA 430. A study of ethics within the context of data science, machine learning, and artificial intelligence. Emphasis is on examining data and model bias; building explainable, fair, trustable, and accurate predictive modeling systems; and reporting responsible results. Topics include the technology implications of human-centered machine learning and artificial intelligence on decision making in organizations and government and the broader impact on society, including multinational and global effects.
52949 6980 11 Jun 2025-05 Aug 2025 Open Online
Faculty: Menon Gopalakrishna, Prahlad Syllabus Course Materials
DATA 460 Artificial Intelligence Solutions (3)
(Designed to help prepare for the AWS Certified Machine Learning or Microsoft Designing and Implementing an Azure AI Solution exam.) Prerequisite: DATA 430. A hands-on, project-based study of artificial intelligence and machine learning solutions to complex problems. Topics include natural language processing, computer vision, and speech recognition.
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51689 6380 14 May 2025-08 Jul 2025 Open Online
Faculty: Skog, Jeremy Owen Syllabus Course Materials
DATA 460 Artificial Intelligence Solutions (3)
(Designed to help prepare for the AWS Certified Machine Learning or Microsoft Designing and Implementing an Azure AI Solution exam.) Prerequisite: DATA 430. A hands-on, project-based study of artificial intelligence and machine learning solutions to complex problems. Topics include natural language processing, computer vision, and speech recognition.
52962 6980 11 Jun 2025-05 Aug 2025 Open Online
Faculty: Bolton, Jeremy Syllabus Course Materials
DATA 495 Data Science Capstone (3)
Prerequisites: DATA 440, DATA 445, and DATA 450. A project based, practical application of the knowledge, technical skills, and critical thinking skills acquired during previous study designed to showcase the student's data science expertise. individually selected projects include all phases of machine learning life cycles and a peer-reviewed final report and presentation. Topics are selected from student-affiliated organizations or employers, special government/private agency requests, or other faculty-approved sources in a wide range of domains, such as healthcare, financial services, marketing, sciences, and government.
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51987 6380 14 May 2025-08 Jul 2025 Open Online
Faculty: Chesney, Steve L Syllabus Course Materials
DATA 495 Data Science Capstone (3)
Prerequisites: DATA 440, DATA 445, and DATA 450. A project based, practical application of the knowledge, technical skills, and critical thinking skills acquired during previous study designed to showcase the student's data science expertise. individually selected projects include all phases of machine learning life cycles and a peer-reviewed final report and presentation. Topics are selected from student-affiliated organizations or employers, special government/private agency requests, or other faculty-approved sources in a wide range of domains, such as healthcare, financial services, marketing, sciences, and government.
52963 6980 11 Jun 2025-05 Aug 2025 Open Online
Faculty: Rai, Paritosh Syllabus Course Materials
ECON 103 Economics in the Information Age (3)
A survey of basic concepts and principles in micro- and macroeconomics and how the economy has been affected by technology. The aim is to define and explain the key terms and concepts in economics and determine how technology has affected consumers, producers, and markets, as well as economic growth and policy. Topics include how innovation affects labor markets, the value of information, and the role of technological change in the economy.
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50961 6380 14 May 2025-08 Jul 2025 Open Online
Faculty: Baqai, Haroon R Syllabus Course Materials
ECON 103 Economics in the Information Age (3)
A survey of basic concepts and principles in micro- and macroeconomics and how the economy has been affected by technology. The aim is to define and explain the key terms and concepts in economics and determine how technology has affected consumers, producers, and markets, as well as economic growth and policy. Topics include how innovation affects labor markets, the value of information, and the role of technological change in the economy.
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50962 6381 14 May 2025-08 Jul 2025 Open Online
Faculty: Bashir, Muhammad Syllabus Course Materials
ECON 103 Economics in the Information Age (3)
A survey of basic concepts and principles in micro- and macroeconomics and how the economy has been affected by technology. The aim is to define and explain the key terms and concepts in economics and determine how technology has affected consumers, producers, and markets, as well as economic growth and policy. Topics include how innovation affects labor markets, the value of information, and the role of technological change in the economy.
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51284 6382 14 May 2025-08 Jul 2025 Open Online
Faculty: Greenfield, Stuart J Syllabus Course Materials
ECON 103 Economics in the Information Age (3)
A survey of basic concepts and principles in micro- and macroeconomics and how the economy has been affected by technology. The aim is to define and explain the key terms and concepts in economics and determine how technology has affected consumers, producers, and markets, as well as economic growth and policy. Topics include how innovation affects labor markets, the value of information, and the role of technological change in the economy.
Start date has passed. Please register for the next start date.
51580 6383 14 May 2025-08 Jul 2025 Open Online
Faculty: Light, Joel Norman Syllabus Course Materials
ECON 103 Economics in the Information Age (3)
A survey of basic concepts and principles in micro- and macroeconomics and how the economy has been affected by technology. The aim is to define and explain the key terms and concepts in economics and determine how technology has affected consumers, producers, and markets, as well as economic growth and policy. Topics include how innovation affects labor markets, the value of information, and the role of technological change in the economy.
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51645 6384 14 May 2025-08 Jul 2025 Open Online
Faculty: Osinubi, Tokunbo S Syllabus Course Materials
ECON 103 Economics in the Information Age (3)
A survey of basic concepts and principles in micro- and macroeconomics and how the economy has been affected by technology. The aim is to define and explain the key terms and concepts in economics and determine how technology has affected consumers, producers, and markets, as well as economic growth and policy. Topics include how innovation affects labor markets, the value of information, and the role of technological change in the economy.
Start date has passed. Please register for the next start date.
51817 6385 14 May 2025-08 Jul 2025 Open Online
Faculty: Slate, James W Syllabus Course Materials
ECON 103 Economics in the Information Age (3)
A survey of basic concepts and principles in micro- and macroeconomics and how the economy has been affected by technology. The aim is to define and explain the key terms and concepts in economics and determine how technology has affected consumers, producers, and markets, as well as economic growth and policy. Topics include how innovation affects labor markets, the value of information, and the role of technological change in the economy.
Start date has passed. Please register for the next start date.
52062 6386 14 May 2025-08 Jul 2025 Open Online
Faculty: Islam, Muhammad F Syllabus Course Materials
ECON 103 Economics in the Information Age (3)
A survey of basic concepts and principles in micro- and macroeconomics and how the economy has been affected by technology. The aim is to define and explain the key terms and concepts in economics and determine how technology has affected consumers, producers, and markets, as well as economic growth and policy. Topics include how innovation affects labor markets, the value of information, and the role of technological change in the economy.
52261 6980 11 Jun 2025-05 Aug 2025 Closed Online
Faculty: Almoguera, Pedro A Syllabus Course Materials
ECON 103 Economics in the Information Age (3)
A survey of basic concepts and principles in micro- and macroeconomics and how the economy has been affected by technology. The aim is to define and explain the key terms and concepts in economics and determine how technology has affected consumers, producers, and markets, as well as economic growth and policy. Topics include how innovation affects labor markets, the value of information, and the role of technological change in the economy.
52474 6981 11 Jun 2025-05 Aug 2025 Closed Online
Faculty: Campos, Johnny R Syllabus Course Materials
ECON 103 Economics in the Information Age (3)
A survey of basic concepts and principles in micro- and macroeconomics and how the economy has been affected by technology. The aim is to define and explain the key terms and concepts in economics and determine how technology has affected consumers, producers, and markets, as well as economic growth and policy. Topics include how innovation affects labor markets, the value of information, and the role of technological change in the economy.
52819 6982 11 Jun 2025-05 Aug 2025 Closed Online
Faculty: DiSalvo, Alisa C Syllabus Course Materials
ECON 103 Economics in the Information Age (3)
A survey of basic concepts and principles in micro- and macroeconomics and how the economy has been affected by technology. The aim is to define and explain the key terms and concepts in economics and determine how technology has affected consumers, producers, and markets, as well as economic growth and policy. Topics include how innovation affects labor markets, the value of information, and the role of technological change in the economy.
52876 6983 11 Jun 2025-05 Aug 2025 Closed Online
Faculty: Kim, Alisha Abbie Syllabus Course Materials
ECON 103 Economics in the Information Age (3)
A survey of basic concepts and principles in micro- and macroeconomics and how the economy has been affected by technology. The aim is to define and explain the key terms and concepts in economics and determine how technology has affected consumers, producers, and markets, as well as economic growth and policy. Topics include how innovation affects labor markets, the value of information, and the role of technological change in the economy.
52914 6984 11 Jun 2025-05 Aug 2025 Closed Online
Faculty: Rice, Richard E Syllabus Course Materials
ECON 103 Economics in the Information Age (3)
A survey of basic concepts and principles in micro- and macroeconomics and how the economy has been affected by technology. The aim is to define and explain the key terms and concepts in economics and determine how technology has affected consumers, producers, and markets, as well as economic growth and policy. Topics include how innovation affects labor markets, the value of information, and the role of technological change in the economy.
Start date has passed. Please register for the next start date.
54712 6387 14 May 2025-08 Jul 2025 Open Online
Faculty: Lewis, James Syllabus Course Materials
ECON 103 Economics in the Information Age (3)
A survey of basic concepts and principles in micro- and macroeconomics and how the economy has been affected by technology. The aim is to define and explain the key terms and concepts in economics and determine how technology has affected consumers, producers, and markets, as well as economic growth and policy. Topics include how innovation affects labor markets, the value of information, and the role of technological change in the economy.
Start date has passed. Please register for the next start date.
54816 6388 14 May 2025-08 Jul 2025 Open Online
Faculty: Morrison, Wendy N Syllabus Course Materials
ECON 103 Economics in the Information Age (3)
A survey of basic concepts and principles in micro- and macroeconomics and how the economy has been affected by technology. The aim is to define and explain the key terms and concepts in economics and determine how technology has affected consumers, producers, and markets, as well as economic growth and policy. Topics include how innovation affects labor markets, the value of information, and the role of technological change in the economy.
54999 6985 11 Jun 2025-05 Aug 2025 Open Online
Faculty: Syllabus Course Materials
ECON 201 Principles of Macroeconomics (3)
An introductory study of the macroeconomy. The objective is to apply select macroeconomic theories to real-world situations. Discussion covers economic growth, technological innovation, unemployment, inflation, and the roles of monetary policy and fiscal policy in determining macroeconomic performance. Students may receive credit for only one of the following courses: ECON 201 or ECON 205.
Start date has passed. Please register for the next start date.
50591 6385 14 May 2025-08 Jul 2025 Open Online
Faculty: Lee, Eugene Y Syllabus Course Materials
ECON 201 Principles of Macroeconomics (3)
An introductory study of the macroeconomy. The objective is to apply select macroeconomic theories to real-world situations. Discussion covers economic growth, technological innovation, unemployment, inflation, and the roles of monetary policy and fiscal policy in determining macroeconomic performance. Students may receive credit for only one of the following courses: ECON 201 or ECON 205.
Start date has passed. Please register for the next start date.
50674 6380 14 May 2025-08 Jul 2025 Open Online
Faculty: Ferreira Campos, Reinner Syllabus Course Materials
ECON 201 Principles of Macroeconomics (3)
An introductory study of the macroeconomy. The objective is to apply select macroeconomic theories to real-world situations. Discussion covers economic growth, technological innovation, unemployment, inflation, and the roles of monetary policy and fiscal policy in determining macroeconomic performance. Students may receive credit for only one of the following courses: ECON 201 or ECON 205.
Start date has passed. Please register for the next start date.
50680 6381 14 May 2025-08 Jul 2025 Open Online
Faculty: Arriaga, Ashley S Syllabus Course Materials
ECON 201 Principles of Macroeconomics (3)
An introductory study of the macroeconomy. The objective is to apply select macroeconomic theories to real-world situations. Discussion covers economic growth, technological innovation, unemployment, inflation, and the roles of monetary policy and fiscal policy in determining macroeconomic performance. Students may receive credit for only one of the following courses: ECON 201 or ECON 205.
Start date has passed. Please register for the next start date.
50692 6382 14 May 2025-08 Jul 2025 Open Online
Faculty: Corcoran, Katherine Moran Syllabus Course Materials
ECON 201 Principles of Macroeconomics (3)
An introductory study of the macroeconomy. The objective is to apply select macroeconomic theories to real-world situations. Discussion covers economic growth, technological innovation, unemployment, inflation, and the roles of monetary policy and fiscal policy in determining macroeconomic performance. Students may receive credit for only one of the following courses: ECON 201 or ECON 205.
Start date has passed. Please register for the next start date.
50706 6383 14 May 2025-08 Jul 2025 Open Online
Faculty: Gobin, Nitish Syllabus Course Materials
ECON 201 Principles of Macroeconomics (3)
An introductory study of the macroeconomy. The objective is to apply select macroeconomic theories to real-world situations. Discussion covers economic growth, technological innovation, unemployment, inflation, and the roles of monetary policy and fiscal policy in determining macroeconomic performance. Students may receive credit for only one of the following courses: ECON 201 or ECON 205.
Start date has passed. Please register for the next start date.
50718 6384 14 May 2025-08 Jul 2025 Open Online
Faculty: Golub, Alexander A Syllabus Course Materials
ECON 201 Principles of Macroeconomics (3)
An introductory study of the macroeconomy. The objective is to apply select macroeconomic theories to real-world situations. Discussion covers economic growth, technological innovation, unemployment, inflation, and the roles of monetary policy and fiscal policy in determining macroeconomic performance. Students may receive credit for only one of the following courses: ECON 201 or ECON 205.
Start date has passed. Please register for the next start date.
51015 6386 14 May 2025-08 Jul 2025 Open Online
Faculty: Leiva, David Edgardo Syllabus Course Materials
ECON 201 Principles of Macroeconomics (3)
An introductory study of the macroeconomy. The objective is to apply select macroeconomic theories to real-world situations. Discussion covers economic growth, technological innovation, unemployment, inflation, and the roles of monetary policy and fiscal policy in determining macroeconomic performance. Students may receive credit for only one of the following courses: ECON 201 or ECON 205.
Start date has passed. Please register for the next start date.
51246 6387 14 May 2025-08 Jul 2025 Open Online
Faculty: Perry, Johnnie J Syllabus Course Materials
ECON 201 Principles of Macroeconomics (3)
An introductory study of the macroeconomy. The objective is to apply select macroeconomic theories to real-world situations. Discussion covers economic growth, technological innovation, unemployment, inflation, and the roles of monetary policy and fiscal policy in determining macroeconomic performance. Students may receive credit for only one of the following courses: ECON 201 or ECON 205.
Start date has passed. Please register for the next start date.
51302 6388 14 May 2025-08 Jul 2025 Open Online
Faculty: Scheller, Thomas G Syllabus Course Materials
ECON 201 Principles of Macroeconomics (3)
An introductory study of the macroeconomy. The objective is to apply select macroeconomic theories to real-world situations. Discussion covers economic growth, technological innovation, unemployment, inflation, and the roles of monetary policy and fiscal policy in determining macroeconomic performance. Students may receive credit for only one of the following courses: ECON 201 or ECON 205.
Start date has passed. Please register for the next start date.
51789 6389 14 May 2025-08 Jul 2025 Open Online
Faculty: Smith, Bryan K Syllabus Course Materials
ECON 201 Principles of Macroeconomics (3)
An introductory study of the macroeconomy. The objective is to apply select macroeconomic theories to real-world situations. Discussion covers economic growth, technological innovation, unemployment, inflation, and the roles of monetary policy and fiscal policy in determining macroeconomic performance. Students may receive credit for only one of the following courses: ECON 201 or ECON 205.
Start date has passed. Please register for the next start date.
51818 6390 14 May 2025-08 Jul 2025 Open Online
Faculty: George, David P Syllabus Course Materials
ECON 201 Principles of Macroeconomics (3)
An introductory study of the macroeconomy. The objective is to apply select macroeconomic theories to real-world situations. Discussion covers economic growth, technological innovation, unemployment, inflation, and the roles of monetary policy and fiscal policy in determining macroeconomic performance. Students may receive credit for only one of the following courses: ECON 201 or ECON 205.
Start date has passed. Please register for the next start date.
51870 6391 14 May 2025-08 Jul 2025 Open Online
Faculty: Rafaj, Maria Syllabus Course Materials
ECON 201 Principles of Macroeconomics (3)
An introductory study of the macroeconomy. The objective is to apply select macroeconomic theories to real-world situations. Discussion covers economic growth, technological innovation, unemployment, inflation, and the roles of monetary policy and fiscal policy in determining macroeconomic performance. Students may receive credit for only one of the following courses: ECON 201 or ECON 205.
52154 6980 11 Jun 2025-05 Aug 2025 Closed Online
Faculty: Amatya, Ramesh N Syllabus Course Materials
ECON 201 Principles of Macroeconomics (3)
An introductory study of the macroeconomy. The objective is to apply select macroeconomic theories to real-world situations. Discussion covers economic growth, technological innovation, unemployment, inflation, and the roles of monetary policy and fiscal policy in determining macroeconomic performance. Students may receive credit for only one of the following courses: ECON 201 or ECON 205.
52155 6981 11 Jun 2025-05 Aug 2025 Closed Online
Faculty: Bradley, Philip H Syllabus Course Materials
ECON 201 Principles of Macroeconomics (3)
An introductory study of the macroeconomy. The objective is to apply select macroeconomic theories to real-world situations. Discussion covers economic growth, technological innovation, unemployment, inflation, and the roles of monetary policy and fiscal policy in determining macroeconomic performance. Students may receive credit for only one of the following courses: ECON 201 or ECON 205.
52274 6982 11 Jun 2025-05 Aug 2025 Closed Online
Faculty: Lindo, Osmond A Syllabus Course Materials
ECON 201 Principles of Macroeconomics (3)
An introductory study of the macroeconomy. The objective is to apply select macroeconomic theories to real-world situations. Discussion covers economic growth, technological innovation, unemployment, inflation, and the roles of monetary policy and fiscal policy in determining macroeconomic performance. Students may receive credit for only one of the following courses: ECON 201 or ECON 205.
52367 6983 11 Jun 2025-05 Aug 2025 Closed Online
Faculty: Manzagol, Olivia N Syllabus Course Materials
ECON 201 Principles of Macroeconomics (3)
An introductory study of the macroeconomy. The objective is to apply select macroeconomic theories to real-world situations. Discussion covers economic growth, technological innovation, unemployment, inflation, and the roles of monetary policy and fiscal policy in determining macroeconomic performance. Students may receive credit for only one of the following courses: ECON 201 or ECON 205.
52475 6984 11 Jun 2025-05 Aug 2025 Closed Online
Faculty: Poore, Bethany M Syllabus Course Materials
ECON 201 Principles of Macroeconomics (3)
An introductory study of the macroeconomy. The objective is to apply select macroeconomic theories to real-world situations. Discussion covers economic growth, technological innovation, unemployment, inflation, and the roles of monetary policy and fiscal policy in determining macroeconomic performance. Students may receive credit for only one of the following courses: ECON 201 or ECON 205.
52476 6985 11 Jun 2025-05 Aug 2025 Closed Online
Faculty: Yildirim, Sinan Syllabus Course Materials
ECON 201 Principles of Macroeconomics (3)
An introductory study of the macroeconomy. The objective is to apply select macroeconomic theories to real-world situations. Discussion covers economic growth, technological innovation, unemployment, inflation, and the roles of monetary policy and fiscal policy in determining macroeconomic performance. Students may receive credit for only one of the following courses: ECON 201 or ECON 205.
52901 6986 11 Jun 2025-05 Aug 2025 Closed Online
Faculty: Bowser, Judith Syllabus Course Materials
ECON 201 Principles of Macroeconomics (3)
An introductory study of the macroeconomy. The objective is to apply select macroeconomic theories to real-world situations. Discussion covers economic growth, technological innovation, unemployment, inflation, and the roles of monetary policy and fiscal policy in determining macroeconomic performance. Students may receive credit for only one of the following courses: ECON 201 or ECON 205.
53030 6988 11 Jun 2025-05 Aug 2025 Closed Online
Faculty: Brodie, Allison E Syllabus Course Materials
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