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2024 Fall: August 14 - December 10

Course Class No. Section Start & End Date Day Time Status Location
CSIA 350 Cybersecurity in Business and Industry (3)
(Designed to help prepare for the Program Management Institute Professional Business Analyst (PMI-PBA) certification exam.) Prerequisite: CSIA 310. A study of the application and integration of cybersecurity principles, frameworks, standards, and best practices to the management, governance, and policy development processes for businesses. The aim is to apply business analysis principles and methods to cybersecurity problems in business and industry. Discussion covers the organization, management, and governance of cybersecurity for enterprise IT in business settings; risk and risk management practices; and development and implementation of industry-wide cybersecurity initiatives and programs.
87281 7382 16 Oct 2024-10 Dec 2024 Open Online
Faculty: Leon Alsina, Kevin M Syllabus Course Materials
CSIA 360 Cybersecurity in Government Organizations (3)
Prerequisite: CSIA 350. A study of cybersecurity management and governance in the context of the missions, functions, and operations of federal, state, and municipal government agencies, departments, and programs. Discussion covers the policy life cycle and the mechanisms used by governments to formulate and implement laws, policies, regulations, and treaties to protect and defend government operations and society as a whole against cyber attacks and crimes, both foreign and domestic.
Start date has passed. Please register for the next start date.
81277 6380 14 Aug 2024-08 Oct 2024 Closed Online
Faculty: Wagner, Lily Yeung Syllabus Course Materials
CSIA 360 Cybersecurity in Government Organizations (3)
Prerequisite: CSIA 350. A study of cybersecurity management and governance in the context of the missions, functions, and operations of federal, state, and municipal government agencies, departments, and programs. Discussion covers the policy life cycle and the mechanisms used by governments to formulate and implement laws, policies, regulations, and treaties to protect and defend government operations and society as a whole against cyber attacks and crimes, both foreign and domestic.
Start date has passed. Please register for the next start date.
81278 6381 14 Aug 2024-08 Oct 2024 Closed Online
Faculty: Middleton, Kenice E Syllabus Course Materials
CSIA 360 Cybersecurity in Government Organizations (3)
Prerequisite: CSIA 350. A study of cybersecurity management and governance in the context of the missions, functions, and operations of federal, state, and municipal government agencies, departments, and programs. Discussion covers the policy life cycle and the mechanisms used by governments to formulate and implement laws, policies, regulations, and treaties to protect and defend government operations and society as a whole against cyber attacks and crimes, both foreign and domestic.
Start date has passed. Please register for the next start date.
82667 6980 18 Sep 2024-12 Nov 2024 Open Online
Faculty: Cooper, David C Syllabus Course Materials
CSIA 360 Cybersecurity in Government Organizations (3)
Prerequisite: CSIA 350. A study of cybersecurity management and governance in the context of the missions, functions, and operations of federal, state, and municipal government agencies, departments, and programs. Discussion covers the policy life cycle and the mechanisms used by governments to formulate and implement laws, policies, regulations, and treaties to protect and defend government operations and society as a whole against cyber attacks and crimes, both foreign and domestic.
83354 7380 16 Oct 2024-10 Dec 2024 Closed Online
Faculty: Myers, Kenneth Syllabus Course Materials
CSIA 360 Cybersecurity in Government Organizations (3)
Prerequisite: CSIA 350. A study of cybersecurity management and governance in the context of the missions, functions, and operations of federal, state, and municipal government agencies, departments, and programs. Discussion covers the policy life cycle and the mechanisms used by governments to formulate and implement laws, policies, regulations, and treaties to protect and defend government operations and society as a whole against cyber attacks and crimes, both foreign and domestic.
83716 7381 16 Oct 2024-10 Dec 2024 Open Online
Faculty: Shirazee, Mohammad F Syllabus Course Materials
CSIA 360 Cybersecurity in Government Organizations (3)
Prerequisite: CSIA 350. A study of cybersecurity management and governance in the context of the missions, functions, and operations of federal, state, and municipal government agencies, departments, and programs. Discussion covers the policy life cycle and the mechanisms used by governments to formulate and implement laws, policies, regulations, and treaties to protect and defend government operations and society as a whole against cyber attacks and crimes, both foreign and domestic.
85273 5455 16 Oct 2024-10 Dec 2024 T 6:30P-9:30P Open Laurel (Hybrid)
Faculty: Olajuwon-Yakubu, Leslie Bldg/Room: Laurel College Center 504 Syllabus Course Materials
CSIA 413 Cybersecurity Policy, Plans, and Programs (3)
(Includes content designed to help in preparing for IAPP Certified Information Privacy Professional/US certification.) Prerequisite: CSIA 360. A study of the application of cybersecurity principles, frameworks, standards, and best practices to organization-level strategies, policies, programs, plans, procedures, and processes. The aim is to assist students in preparing to take an internationally recognized information privacy certification. Projects include writing security policies and plans, developing metrics and measures for information security programs, planning audits of compliance practices and processes, and developing organization-level security policies for enterprise IT governance. Discussion covers principles and best practices for protecting privacy and ensuring compliance with laws and regulations.
Start date has passed. Please register for the next start date.
81028 6380 14 Aug 2024-08 Oct 2024 Closed Online
Faculty: Manley, Rupert S Syllabus Course Materials
CSIA 413 Cybersecurity Policy, Plans, and Programs (3)
(Includes content designed to help in preparing for IAPP Certified Information Privacy Professional/US certification.) Prerequisite: CSIA 360. A study of the application of cybersecurity principles, frameworks, standards, and best practices to organization-level strategies, policies, programs, plans, procedures, and processes. The aim is to assist students in preparing to take an internationally recognized information privacy certification. Projects include writing security policies and plans, developing metrics and measures for information security programs, planning audits of compliance practices and processes, and developing organization-level security policies for enterprise IT governance. Discussion covers principles and best practices for protecting privacy and ensuring compliance with laws and regulations.
Start date has passed. Please register for the next start date.
81029 6381 14 Aug 2024-08 Oct 2024 Closed Online
Faculty: Shah, Farhat I Syllabus Course Materials
CSIA 413 Cybersecurity Policy, Plans, and Programs (3)
(Includes content designed to help in preparing for IAPP Certified Information Privacy Professional/US certification.) Prerequisite: CSIA 360. A study of the application of cybersecurity principles, frameworks, standards, and best practices to organization-level strategies, policies, programs, plans, procedures, and processes. The aim is to assist students in preparing to take an internationally recognized information privacy certification. Projects include writing security policies and plans, developing metrics and measures for information security programs, planning audits of compliance practices and processes, and developing organization-level security policies for enterprise IT governance. Discussion covers principles and best practices for protecting privacy and ensuring compliance with laws and regulations.
83713 7380 16 Oct 2024-10 Dec 2024 Closed Online
Faculty: Manley, Rupert S Syllabus Course Materials
CSIA 413 Cybersecurity Policy, Plans, and Programs (3)
(Includes content designed to help in preparing for IAPP Certified Information Privacy Professional/US certification.) Prerequisite: CSIA 360. A study of the application of cybersecurity principles, frameworks, standards, and best practices to organization-level strategies, policies, programs, plans, procedures, and processes. The aim is to assist students in preparing to take an internationally recognized information privacy certification. Projects include writing security policies and plans, developing metrics and measures for information security programs, planning audits of compliance practices and processes, and developing organization-level security policies for enterprise IT governance. Discussion covers principles and best practices for protecting privacy and ensuring compliance with laws and regulations.
83715 7381 16 Oct 2024-10 Dec 2024 Open Online
Faculty: Syllabus Course Materials
CSIA 413 Cybersecurity Policy, Plans, and Programs (3)
(Includes content designed to help in preparing for IAPP Certified Information Privacy Professional/US certification.) Prerequisite: CSIA 360. A study of the application of cybersecurity principles, frameworks, standards, and best practices to organization-level strategies, policies, programs, plans, procedures, and processes. The aim is to assist students in preparing to take an internationally recognized information privacy certification. Projects include writing security policies and plans, developing metrics and measures for information security programs, planning audits of compliance practices and processes, and developing organization-level security policies for enterprise IT governance. Discussion covers principles and best practices for protecting privacy and ensuring compliance with laws and regulations.
Start date has passed. Please register for the next start date.
86880 6382 14 Aug 2024-08 Oct 2024 Open Online
Faculty: Molina, Andrea A Syllabus Course Materials
CSIA 459 Evaluating Emerging Technologies (3)
Prerequisites: CMIT 320 and CSIA 350. A survey of emerging and leading technologies in the cybersecurity field. The aim is to research, evaluate, and recommend emerging technologies and determine secure implementation strategies for best-fit business solutions. Topics include evolutionary technology development and adoption in organizations.
Start date has passed. Please register for the next start date.
80938 6380 14 Aug 2024-08 Oct 2024 Open Online
Faculty: Mengistu, Zelalem W Syllabus Course Materials
CSIA 459 Evaluating Emerging Technologies (3)
Prerequisites: CMIT 320 and CSIA 350. A survey of emerging and leading technologies in the cybersecurity field. The aim is to research, evaluate, and recommend emerging technologies and determine secure implementation strategies for best-fit business solutions. Topics include evolutionary technology development and adoption in organizations.
Start date has passed. Please register for the next start date.
81612 6381 14 Aug 2024-08 Oct 2024 Open Online
Faculty: Lassetter, George C Syllabus Course Materials
CSIA 459 Evaluating Emerging Technologies (3)
Prerequisites: CMIT 320 and CSIA 350. A survey of emerging and leading technologies in the cybersecurity field. The aim is to research, evaluate, and recommend emerging technologies and determine secure implementation strategies for best-fit business solutions. Topics include evolutionary technology development and adoption in organizations.
83711 7380 16 Oct 2024-10 Dec 2024 Closed Online
Faculty: Lassetter, George C Syllabus Course Materials
CSIA 459 Evaluating Emerging Technologies (3)
Prerequisites: CMIT 320 and CSIA 350. A survey of emerging and leading technologies in the cybersecurity field. The aim is to research, evaluate, and recommend emerging technologies and determine secure implementation strategies for best-fit business solutions. Topics include evolutionary technology development and adoption in organizations.
83712 7381 16 Oct 2024-10 Dec 2024 Closed Online
Faculty: Holmes, Aisha E Syllabus Course Materials
CSIA 459 Evaluating Emerging Technologies (3)
Prerequisites: CMIT 320 and CSIA 350. A survey of emerging and leading technologies in the cybersecurity field. The aim is to research, evaluate, and recommend emerging technologies and determine secure implementation strategies for best-fit business solutions. Topics include evolutionary technology development and adoption in organizations.
87193 7382 16 Oct 2024-10 Dec 2024 Open Online
Faculty: Ridgeway, Holly E Syllabus Course Materials
CSIA 485 Cyber Management and Policy Capstone (3)
(Intended as a final, capstone course to be taken in a student's last 6 credits; includes content designed to help in preparing students for the EC-Council Certified Chief Information Security Officer [CCISO] and Information Security Manager [EISM] certifications.) Prerequisites: CMIT 320 and CSIA 413. A study of cybersecurity management and policy that integrates knowledge gained from previous coursework and experience. Focus is on developing security strategies, plans, policies, and processes for the protection of an organization's critical information and assets. The goal is to enhance professional skills in cybersecurity management and leadership. Topics also include the ethical integration of cybersecurity best practices and risk management throughout an enterprise.
Start date has passed. Please register for the next start date.
80958 6380 14 Aug 2024-08 Oct 2024 Closed Online
Faculty: White, Richard A Syllabus Course Materials
CSIA 485 Cyber Management and Policy Capstone (3)
(Intended as a final, capstone course to be taken in a student's last 6 credits; includes content designed to help in preparing students for the EC-Council Certified Chief Information Security Officer [CCISO] and Information Security Manager [EISM] certifications.) Prerequisites: CMIT 320 and CSIA 413. A study of cybersecurity management and policy that integrates knowledge gained from previous coursework and experience. Focus is on developing security strategies, plans, policies, and processes for the protection of an organization's critical information and assets. The goal is to enhance professional skills in cybersecurity management and leadership. Topics also include the ethical integration of cybersecurity best practices and risk management throughout an enterprise.
Start date has passed. Please register for the next start date.
81067 6381 14 Aug 2024-08 Oct 2024 Open Online
Faculty: Ridgeway, Holly E Syllabus Course Materials
CSIA 485 Cyber Management and Policy Capstone (3)
(Intended as a final, capstone course to be taken in a student's last 6 credits; includes content designed to help in preparing students for the EC-Council Certified Chief Information Security Officer [CCISO] and Information Security Manager [EISM] certifications.) Prerequisites: CMIT 320 and CSIA 413. A study of cybersecurity management and policy that integrates knowledge gained from previous coursework and experience. Focus is on developing security strategies, plans, policies, and processes for the protection of an organization's critical information and assets. The goal is to enhance professional skills in cybersecurity management and leadership. Topics also include the ethical integration of cybersecurity best practices and risk management throughout an enterprise.
84207 7380 16 Oct 2024-10 Dec 2024 Closed Online
Faculty: Bennett, Donna S Syllabus Course Materials
CSIA 485 Cyber Management and Policy Capstone (3)
(Intended as a final, capstone course to be taken in a student's last 6 credits; includes content designed to help in preparing students for the EC-Council Certified Chief Information Security Officer [CCISO] and Information Security Manager [EISM] certifications.) Prerequisites: CMIT 320 and CSIA 413. A study of cybersecurity management and policy that integrates knowledge gained from previous coursework and experience. Focus is on developing security strategies, plans, policies, and processes for the protection of an organization's critical information and assets. The goal is to enhance professional skills in cybersecurity management and leadership. Topics also include the ethical integration of cybersecurity best practices and risk management throughout an enterprise.
84208 7381 16 Oct 2024-10 Dec 2024 Open Online
Faculty: Pascarella, Joseph E Syllabus Course Materials
CSIA 485 Cyber Management and Policy Capstone (3)
(Intended as a final, capstone course to be taken in a student's last 6 credits; includes content designed to help in preparing students for the EC-Council Certified Chief Information Security Officer [CCISO] and Information Security Manager [EISM] certifications.) Prerequisites: CMIT 320 and CSIA 413. A study of cybersecurity management and policy that integrates knowledge gained from previous coursework and experience. Focus is on developing security strategies, plans, policies, and processes for the protection of an organization's critical information and assets. The goal is to enhance professional skills in cybersecurity management and leadership. Topics also include the ethical integration of cybersecurity best practices and risk management throughout an enterprise.
84209 7382 16 Oct 2024-10 Dec 2024 Closed Online
Faculty: Colon, Lilian M Syllabus Course Materials
CSIA 485 Cyber Management and Policy Capstone (3)
(Intended as a final, capstone course to be taken in a student's last 6 credits; includes content designed to help in preparing students for the EC-Council Certified Chief Information Security Officer [CCISO] and Information Security Manager [EISM] certifications.) Prerequisites: CMIT 320 and CSIA 413. A study of cybersecurity management and policy that integrates knowledge gained from previous coursework and experience. Focus is on developing security strategies, plans, policies, and processes for the protection of an organization's critical information and assets. The goal is to enhance professional skills in cybersecurity management and leadership. Topics also include the ethical integration of cybersecurity best practices and risk management throughout an enterprise.
84210 7383 16 Oct 2024-10 Dec 2024 Closed Online
Faculty: Salmans, Brian R Syllabus Course Materials
CSIA 485 Cyber Management and Policy Capstone (3)
(Intended as a final, capstone course to be taken in a student's last 6 credits; includes content designed to help in preparing students for the EC-Council Certified Chief Information Security Officer [CCISO] and Information Security Manager [EISM] certifications.) Prerequisites: CMIT 320 and CSIA 413. A study of cybersecurity management and policy that integrates knowledge gained from previous coursework and experience. Focus is on developing security strategies, plans, policies, and processes for the protection of an organization's critical information and assets. The goal is to enhance professional skills in cybersecurity management and leadership. Topics also include the ethical integration of cybersecurity best practices and risk management throughout an enterprise.
87415 7384 16 Oct 2024-10 Dec 2024 Open Online
Faculty: Syllabus Course Materials
CYOP 200 Foundations of Cyberspace Operations (3)
A hands-on introduction to the principles of cyberspace operations that support defensive and offensive processes. The objective is to navigate, integrate, and use popular cybersecurity tools and functions in a safe environment to detect and reduce system threats and vulnerabilities. Topics include strategic and tactical planning and guidance, security objectives for information systems, cybersecurity frameworks, security design principles, vulnerabilities and exploits, network and application security techniques, and automated tools for testing and security assessment.
Start date has passed. Please register for the next start date.
86130 6380 14 Aug 2024-08 Oct 2024 Open Online
Faculty: Woodson, Kevin T Syllabus Course Materials
CYOP 200 Foundations of Cyberspace Operations (3)
A hands-on introduction to the principles of cyberspace operations that support defensive and offensive processes. The objective is to navigate, integrate, and use popular cybersecurity tools and functions in a safe environment to detect and reduce system threats and vulnerabilities. Topics include strategic and tactical planning and guidance, security objectives for information systems, cybersecurity frameworks, security design principles, vulnerabilities and exploits, network and application security techniques, and automated tools for testing and security assessment.
86131 7380 16 Oct 2024-10 Dec 2024 Closed Online
Faculty: Woodson, Kevin T Syllabus Course Materials
CYOP 200 Foundations of Cyberspace Operations (3)
A hands-on introduction to the principles of cyberspace operations that support defensive and offensive processes. The objective is to navigate, integrate, and use popular cybersecurity tools and functions in a safe environment to detect and reduce system threats and vulnerabilities. Topics include strategic and tactical planning and guidance, security objectives for information systems, cybersecurity frameworks, security design principles, vulnerabilities and exploits, network and application security techniques, and automated tools for testing and security assessment.
Start date has passed. Please register for the next start date.
86743 6381 14 Aug 2024-08 Oct 2024 Open Online
Faculty: Bradford, Corley S Syllabus Course Materials
CYOP 200 Foundations of Cyberspace Operations (3)
A hands-on introduction to the principles of cyberspace operations that support defensive and offensive processes. The objective is to navigate, integrate, and use popular cybersecurity tools and functions in a safe environment to detect and reduce system threats and vulnerabilities. Topics include strategic and tactical planning and guidance, security objectives for information systems, cybersecurity frameworks, security design principles, vulnerabilities and exploits, network and application security techniques, and automated tools for testing and security assessment.
Start date has passed. Please register for the next start date.
86919 6382 14 Aug 2024-08 Oct 2024 Open Online
Faculty: Mathur, Pratik Syllabus Course Materials
CYOP 200 Foundations of Cyberspace Operations (3)
A hands-on introduction to the principles of cyberspace operations that support defensive and offensive processes. The objective is to navigate, integrate, and use popular cybersecurity tools and functions in a safe environment to detect and reduce system threats and vulnerabilities. Topics include strategic and tactical planning and guidance, security objectives for information systems, cybersecurity frameworks, security design principles, vulnerabilities and exploits, network and application security techniques, and automated tools for testing and security assessment.
87078 7381 16 Oct 2024-10 Dec 2024 Closed Online
Faculty: Fuller, Jonathan Syllabus Course Materials
CYOP 200 Foundations of Cyberspace Operations (3)
A hands-on introduction to the principles of cyberspace operations that support defensive and offensive processes. The objective is to navigate, integrate, and use popular cybersecurity tools and functions in a safe environment to detect and reduce system threats and vulnerabilities. Topics include strategic and tactical planning and guidance, security objectives for information systems, cybersecurity frameworks, security design principles, vulnerabilities and exploits, network and application security techniques, and automated tools for testing and security assessment.
87348 7382 16 Oct 2024-10 Dec 2024 Open Online
Faculty: Parsons, Matthew J Syllabus Course Materials
CYOP 300 Building Secure Python Applications (3)
(Formerly SDEV 300.) Prerequisite: CMSC 215 or CYOP 200. A hands-on study of best practices and strategies for building secure Python desktop and web applications. The objective is to design and build Python applications that are resistant to common security threats. Topics include syntax, data structures, style guides, data munging, web application frameworks, and the use of secure coding tools and processes to guard against application vulnerabilities. Students may receive credit for only one of the following courses: CYOP 300 or SDEV 300.
Start date has passed. Please register for the next start date.
81265 6380 14 Aug 2024-08 Oct 2024 Closed Online
Faculty: Parsons, Matthew J Syllabus Course Materials
CYOP 300 Building Secure Python Applications (3)
(Formerly SDEV 300.) Prerequisite: CMSC 215 or CYOP 200. A hands-on study of best practices and strategies for building secure Python desktop and web applications. The objective is to design and build Python applications that are resistant to common security threats. Topics include syntax, data structures, style guides, data munging, web application frameworks, and the use of secure coding tools and processes to guard against application vulnerabilities. Students may receive credit for only one of the following courses: CYOP 300 or SDEV 300.
Start date has passed. Please register for the next start date.
81482 6381 14 Aug 2024-08 Oct 2024 Open Online
Faculty: Babcock, Mark A Syllabus Course Materials
CYOP 300 Building Secure Python Applications (3)
(Formerly SDEV 300.) Prerequisite: CMSC 215 or CYOP 200. A hands-on study of best practices and strategies for building secure Python desktop and web applications. The objective is to design and build Python applications that are resistant to common security threats. Topics include syntax, data structures, style guides, data munging, web application frameworks, and the use of secure coding tools and processes to guard against application vulnerabilities. Students may receive credit for only one of the following courses: CYOP 300 or SDEV 300.
83516 7380 16 Oct 2024-10 Dec 2024 Closed Online
Faculty: Pike, Melissa A Syllabus Course Materials
CYOP 300 Building Secure Python Applications (3)
(Formerly SDEV 300.) Prerequisite: CMSC 215 or CYOP 200. A hands-on study of best practices and strategies for building secure Python desktop and web applications. The objective is to design and build Python applications that are resistant to common security threats. Topics include syntax, data structures, style guides, data munging, web application frameworks, and the use of secure coding tools and processes to guard against application vulnerabilities. Students may receive credit for only one of the following courses: CYOP 300 or SDEV 300.
83517 7381 16 Oct 2024-10 Dec 2024 Open Online
Faculty: Fair, Zachary Syllabus Course Materials
CYOP 300 Building Secure Python Applications (3)
(Formerly SDEV 300.) Prerequisite: CMSC 215 or CYOP 200. A hands-on study of best practices and strategies for building secure Python desktop and web applications. The objective is to design and build Python applications that are resistant to common security threats. Topics include syntax, data structures, style guides, data munging, web application frameworks, and the use of secure coding tools and processes to guard against application vulnerabilities. Students may receive credit for only one of the following courses: CYOP 300 or SDEV 300.
83518 7382 16 Oct 2024-10 Dec 2024 Open Online
Faculty: Boswell, Justin L. Syllabus Course Materials
CYOP 300 Building Secure Python Applications (3)
(Formerly SDEV 300.) Prerequisite: CMSC 215 or CYOP 200. A hands-on study of best practices and strategies for building secure Python desktop and web applications. The objective is to design and build Python applications that are resistant to common security threats. Topics include syntax, data structures, style guides, data munging, web application frameworks, and the use of secure coding tools and processes to guard against application vulnerabilities. Students may receive credit for only one of the following courses: CYOP 300 or SDEV 300.
84296 7383 16 Oct 2024-10 Dec 2024 Open Online
Faculty: Webb, Alla Syllabus Course Materials
CYOP 300 Building Secure Python Applications (3)
(Formerly SDEV 300.) Prerequisite: CMSC 215 or CYOP 200. A hands-on study of best practices and strategies for building secure Python desktop and web applications. The objective is to design and build Python applications that are resistant to common security threats. Topics include syntax, data structures, style guides, data munging, web application frameworks, and the use of secure coding tools and processes to guard against application vulnerabilities. Students may receive credit for only one of the following courses: CYOP 300 or SDEV 300.
85290 7750 16 Oct 2024-10 Dec 2024 M 6:30P-9:30P Open Arundel Mills (Hybrid)
Faculty: Mathur, Pratik Bldg/Room: Arundel Mills 109 Syllabus Course Materials
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.
86128 6380 14 Aug 2024-08 Oct 2024 Open Online
Faculty: Smith, Benjamin M Syllabus Course Materials
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.
86129 7380 16 Oct 2024-10 Dec 2024 Closed Online
Faculty: Smith, Benjamin M Syllabus Course Materials
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.
87203 7381 16 Oct 2024-10 Dec 2024 Open Online
Faculty: Aus, Alex D 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.
81266 6380 14 Aug 2024-08 Oct 2024 Open Online
Faculty: Donoho, Lucas M. 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.
83521 7380 16 Oct 2024-10 Dec 2024 Open Online
Faculty: Donoho, Lucas M. 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.
85291 7665 16 Oct 2024-10 Dec 2024 Th 6:30P-9:30P Open Dorsey Station (Hybrid)
Faculty: Royal, Brandon R 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 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.
81274 6380 14 Aug 2024-08 Oct 2024 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.
83523 7380 16 Oct 2024-10 Dec 2024 Open Online
Faculty: De Los Santos, Ivan 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.
84534 7381 16 Oct 2024-10 Dec 2024 Open Online
Faculty: Braun, Nathan L 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.
Start date has passed. Please register for the next start date.
81462 6380 14 Aug 2024-08 Oct 2024 Open Online
Faculty: Johnson, Kyle L 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.
83524 7380 16 Oct 2024-10 Dec 2024 Open Online
Faculty: Khan, Muhammad 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.
Start date has passed. Please register for the next start date.
81909 6380 14 Aug 2024-08 Oct 2024 Open Online
Faculty: Taylor, Matthew 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.
83526 7380 16 Oct 2024-10 Dec 2024 Open Online
Faculty: Waithe, Errol S. 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.
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81549 6380 14 Aug 2024-08 Oct 2024 Open Online
Faculty: Boswell, Justin L. 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.
84507 7380 16 Oct 2024-10 Dec 2024 Open Online
Faculty: Eyler, Carl W 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.
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81998 6380 14 Aug 2024-08 Oct 2024 Open Online
Faculty: Nebhnani, Puran C 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.
84384 7380 16 Oct 2024-10 Dec 2024 Open Online
Faculty: Brown, Matthew 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.
86127 7380 16 Oct 2024-10 Dec 2024 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.
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81989 6380 14 Aug 2024-08 Oct 2024 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.
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82030 6381 14 Aug 2024-08 Oct 2024 Open Online
Faculty: Trajkovski, Goran 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.
82081 6382 14 Aug 2024-08 Oct 2024 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.
82240 6383 14 Aug 2024-08 Oct 2024 Open 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.
Start date has passed. Please register for the next start date.
82357 6384 14 Aug 2024-08 Oct 2024 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.
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82466 6385 14 Aug 2024-08 Oct 2024 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.
84493 7380 16 Oct 2024-10 Dec 2024 Closed Online
Faculty: Zimmer, Janet 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.
84529 7381 16 Oct 2024-10 Dec 2024 Closed Online
Faculty: Moustafa, Rida E 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.
84545 7382 16 Oct 2024-10 Dec 2024 Closed Online
Faculty: Thomas, Sunela S 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.
84557 7383 16 Oct 2024-10 Dec 2024 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.
84773 7384 16 Oct 2024-10 Dec 2024 Closed 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.
84796 7385 16 Oct 2024-10 Dec 2024 Closed Online
Faculty: Mintz, Rhonda S 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.
84844 7386 16 Oct 2024-10 Dec 2024 Closed 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.
85341 4025 14 Aug 2024-08 Oct 2024 Th 6:30P-9:30P Open College Park (Hybrid)
Faculty: Britto, Joseph Solomon Bldg/Room: Hornbake Library (Undergrad) 1112 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.
87062 6386 14 Aug 2024-08 Oct 2024 Open Online
Faculty: Mintz, Renae S 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.
87443 7387 16 Oct 2024-10 Dec 2024 Open Online
Faculty: Kamai, Moses M 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.
84694 7380 16 Oct 2024-10 Dec 2024 Open Online
Faculty: Ezzati, Parinaz 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.
86125 6380 14 Aug 2024-08 Oct 2024 Open Online
Faculty: Moustafa, Rida E 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.
86630 6381 14 Aug 2024-08 Oct 2024 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.
86943 7381 16 Oct 2024-10 Dec 2024 Open Online
Faculty: Holmes, Matthew R 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.
81990 6380 14 Aug 2024-08 Oct 2024 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.
82025 6381 14 Aug 2024-08 Oct 2024 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.
Start date has passed. Please register for the next start date.
82380 6382 14 Aug 2024-08 Oct 2024 Open Online
Faculty: Holbert, Brian J 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.
84494 7380 16 Oct 2024-10 Dec 2024 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.
84530 7381 16 Oct 2024-10 Dec 2024 Closed 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.
84723 7382 16 Oct 2024-10 Dec 2024 Open Online
Faculty: Zeleke, Abebaw 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.
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81996 6380 14 Aug 2024-08 Oct 2024 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.
81997 6381 14 Aug 2024-08 Oct 2024 Open Online
Faculty: Tran, Anh L 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.
82972 6980 18 Sep 2024-12 Nov 2024 Open Online
Faculty: King, Brandon I 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.
84503 7380 16 Oct 2024-10 Dec 2024 Open Online
Faculty: Chulis, Kimberly 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.
84703 7381 16 Oct 2024-10 Dec 2024 Closed 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.
86942 6382 14 Aug 2024-08 Oct 2024 Open Online
Faculty: King, Brandon I 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.
87215 7382 16 Oct 2024-10 Dec 2024 Open Online
Faculty: Alkaabi, Mahfood H 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.
86030 6380 14 Aug 2024-08 Oct 2024 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.
Start date has passed. Please register for the next start date.
86031 6381 14 Aug 2024-08 Oct 2024 Open Online
Faculty: Thomas, Sunela 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.
86034 5425 14 Aug 2024-08 Oct 2024 Th 6:30P-9:30P Open Laurel (Hybrid)
Faculty: Bryant, Richoun Denise Bldg/Room: Laurel College Center 504 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.
86035 7380 16 Oct 2024-10 Dec 2024 Closed 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.
86036 7381 16 Oct 2024-10 Dec 2024 Closed 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.
86037 7382 16 Oct 2024-10 Dec 2024 Closed Online
Faculty: Heuermann, Lewis Edward 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.
86038 7383 16 Oct 2024-10 Dec 2024 Open Online
Faculty: Britto, Joseph Solomon 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.
82009 6380 14 Aug 2024-08 Oct 2024 Open Online
Faculty: Wrightson, Christopher M 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.
82236 6381 14 Aug 2024-08 Oct 2024 Open Online
Faculty: Heuermann, Lewis Edward 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.
84495 7380 16 Oct 2024-10 Dec 2024 Closed Online
Faculty: Ajayi, Rosiji O 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.
84717 7381 16 Oct 2024-10 Dec 2024 Open Online
Faculty: Wrightson, Christopher M 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.
Start date has passed. Please register for the next start date.
81992 6380 14 Aug 2024-08 Oct 2024 Open Online
Faculty: Guevara, Yamil E Syllabus Course Materials
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