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2024 Spring: January 10 - May 7

Course Class No. Section Start & End Date Day Time Status Location
CSIA 310 Cybersecurity Processes and Technologies (3)
(Includes content designed to help in preparing for EC-Council Certified Incident Handler [ECIH] certification.) Prerequisites: IFSM 201 and WRTG 112 or equivalent. A study of the processes and technologies used to implement and manage enterprise IT security operations. The goal is to apply and integrate cybersecurity concepts and best practices with the principles of IT operations and management and to prepare for a government- and industry-recognized intermediate level cybersecurity certification (Certified Incident Handler). Topics include the essential management and operational activities (acquisition, deployment, and operations) required to secure IT technologies and business operations against a wide variety of threats and attacks.
Start date has passed. Please register for the next start date.
22441 6980 14 Feb 2024-09 Apr 2024 Open Online
Faculty: DeLeon, Joseph Z Syllabus Course Materials
CSIA 310 Cybersecurity Processes and Technologies (3)
(Includes content designed to help in preparing for EC-Council Certified Incident Handler [ECIH] certification.) Prerequisites: IFSM 201 and WRTG 112 or equivalent. A study of the processes and technologies used to implement and manage enterprise IT security operations. The goal is to apply and integrate cybersecurity concepts and best practices with the principles of IT operations and management and to prepare for a government- and industry-recognized intermediate level cybersecurity certification (Certified Incident Handler). Topics include the essential management and operational activities (acquisition, deployment, and operations) required to secure IT technologies and business operations against a wide variety of threats and attacks.
23064 7380 13 Mar 2024-07 May 2024 Closed Online
Faculty: Salmans, Brian R Syllabus Course Materials
CSIA 310 Cybersecurity Processes and Technologies (3)
(Includes content designed to help in preparing for EC-Council Certified Incident Handler [ECIH] certification.) Prerequisites: IFSM 201 and WRTG 112 or equivalent. A study of the processes and technologies used to implement and manage enterprise IT security operations. The goal is to apply and integrate cybersecurity concepts and best practices with the principles of IT operations and management and to prepare for a government- and industry-recognized intermediate level cybersecurity certification (Certified Incident Handler). Topics include the essential management and operational activities (acquisition, deployment, and operations) required to secure IT technologies and business operations against a wide variety of threats and attacks.
23763 7381 13 Mar 2024-07 May 2024 Closed Online
Faculty: Syllabus Course Materials
CSIA 310 Cybersecurity Processes and Technologies (3)
(Includes content designed to help in preparing for EC-Council Certified Incident Handler [ECIH] certification.) Prerequisites: IFSM 201 and WRTG 112 or equivalent. A study of the processes and technologies used to implement and manage enterprise IT security operations. The goal is to apply and integrate cybersecurity concepts and best practices with the principles of IT operations and management and to prepare for a government- and industry-recognized intermediate level cybersecurity certification (Certified Incident Handler). Topics include the essential management and operational activities (acquisition, deployment, and operations) required to secure IT technologies and business operations against a wide variety of threats and attacks.
23764 7382 13 Mar 2024-07 May 2024 Open Online
Faculty: Uribe, Felix A Syllabus Course Materials
CSIA 310 Cybersecurity Processes and Technologies (3)
(Includes content designed to help in preparing for EC-Council Certified Incident Handler [ECIH] certification.) Prerequisites: IFSM 201 and WRTG 112 or equivalent. A study of the processes and technologies used to implement and manage enterprise IT security operations. The goal is to apply and integrate cybersecurity concepts and best practices with the principles of IT operations and management and to prepare for a government- and industry-recognized intermediate level cybersecurity certification (Certified Incident Handler). Topics include the essential management and operational activities (acquisition, deployment, and operations) required to secure IT technologies and business operations against a wide variety of threats and attacks.
25737 7765 13 Mar 2024-07 May 2024 Th 6:30P-9:30P Open Arundel Mills (Hybrid)
Faculty: Onyegbula, Festus C Bldg/Room: Arundel Mills 212 Syllabus Course Materials
CSIA 310 Cybersecurity Processes and Technologies (3)
(Includes content designed to help in preparing for EC-Council Certified Incident Handler [ECIH] certification.) Prerequisites: IFSM 201 and WRTG 112 or equivalent. A study of the processes and technologies used to implement and manage enterprise IT security operations. The goal is to apply and integrate cybersecurity concepts and best practices with the principles of IT operations and management and to prepare for a government- and industry-recognized intermediate level cybersecurity certification (Certified Incident Handler). Topics include the essential management and operational activities (acquisition, deployment, and operations) required to secure IT technologies and business operations against a wide variety of threats and attacks.
25740 4060 13 Mar 2024-07 May 2024 W 6:30P-9:30P Open College Park (Hybrid)
Faculty: Bldg/Room: Tydings Hall 2106 Syllabus Course Materials
CSIA 310 Cybersecurity Processes and Technologies (3)
(Includes content designed to help in preparing for EC-Council Certified Incident Handler [ECIH] certification.) Prerequisites: IFSM 201 and WRTG 112 or equivalent. A study of the processes and technologies used to implement and manage enterprise IT security operations. The goal is to apply and integrate cybersecurity concepts and best practices with the principles of IT operations and management and to prepare for a government- and industry-recognized intermediate level cybersecurity certification (Certified Incident Handler). Topics include the essential management and operational activities (acquisition, deployment, and operations) required to secure IT technologies and business operations against a wide variety of threats and attacks.
Start date has passed. Please register for the next start date.
27206 6383 10 Jan 2024-05 Mar 2024 Open Online
Faculty: Simpson, Andrea E Syllabus Course Materials
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.
Start date has passed. Please register for the next start date.
21070 6380 10 Jan 2024-05 Mar 2024 Open Online
Faculty: Goren, Nedim S Syllabus Course Materials
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.
Start date has passed. Please register for the next start date.
21071 6381 10 Jan 2024-05 Mar 2024 Open Online
Faculty: Heben, Heather L. Syllabus Course Materials
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.
Start date has passed. Please register for the next start date.
21649 6382 10 Jan 2024-05 Mar 2024 Open Online
Faculty: McBorrough, William J Syllabus Course Materials
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.
Start date has passed. Please register for the next start date.
22442 6980 14 Feb 2024-09 Apr 2024 Open Online
Faculty: Jumper, Sharon D Syllabus Course Materials
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.
23067 7380 13 Mar 2024-07 May 2024 Closed Online
Faculty: Goren, Nedim S Syllabus Course Materials
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.
23762 7381 13 Mar 2024-07 May 2024 Open Online
Faculty: McCord, Gregory L 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.
21072 6380 10 Jan 2024-05 Mar 2024 Open 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.
21073 6381 10 Jan 2024-05 Mar 2024 Open Online
Faculty: Ringgold, Ronald S 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.
22805 6980 14 Feb 2024-09 Apr 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.
23068 7380 13 Mar 2024-07 May 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.
23761 7381 13 Mar 2024-07 May 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.
25686 7725 10 Jan 2024-05 Mar 2024 Th 6:30P-9:30P Open Arundel Mills (Hybrid)
Faculty: Kostic, Linda C Bldg/Room: Arundel Mills 212 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.
27207 6382 10 Jan 2024-05 Mar 2024 Open Online
Faculty: Holmes, Aisha E 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.
20804 6380 10 Jan 2024-05 Mar 2024 Open Online
Faculty: Butler, Laurence A 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.
20805 6381 10 Jan 2024-05 Mar 2024 Open 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.
23746 7380 13 Mar 2024-07 May 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.
23754 7381 13 Mar 2024-07 May 2024 Open Online
Faculty: Middleton, Kenice E 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.
25688 5115 10 Jan 2024-05 Mar 2024 T 6:30P-9:30P Open Shady Grove (Hybrid)
Faculty: Uribe, Felix A Bldg/Room: Shady Grove Center, Bldg II 3012 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.
25742 7765 13 Mar 2024-07 May 2024 Th 6:30P-9:30P Open Arundel Mills (Hybrid)
Faculty: Bldg/Room: Arundel Mills 211 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.
20700 6380 10 Jan 2024-05 Mar 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.
Start date has passed. Please register for the next start date.
20937 6381 10 Jan 2024-05 Mar 2024 Open Online
Faculty: Chun, Samuel 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.
24121 7380 13 Mar 2024-07 May 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.
24122 7381 13 Mar 2024-07 May 2024 Closed Online
Faculty: Chun, Samuel 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.
24555 7382 13 Mar 2024-07 May 2024 Open Online
Faculty: 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.
20720 6380 10 Jan 2024-05 Mar 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.
20843 6381 10 Jan 2024-05 Mar 2024 Open 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.
23742 7380 13 Mar 2024-07 May 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.
23743 7381 13 Mar 2024-07 May 2024 Closed 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.
23744 7382 13 Mar 2024-07 May 2024 Open 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.
25744 5150 13 Mar 2024-07 May 2024 M 6:30P-9:30P Open Shady Grove (Hybrid)
Faculty: Camilien, Mario Bldg/Room: Shady Grove Center, Bldg II 3052 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.
27239 6382 10 Jan 2024-05 Mar 2024 Open Online
Faculty: Bell, Megan R Syllabus Course Materials
CSIA 486A Workplace Learning in Cybersecurity (3)
Prerequisites: 9 credits in the discipline and prior program approval (requirements detailed online at www.umgc.edu/wkpl). The integration of discipline-specific knowledge with new experiences in the work environment. Tasks include completing a series of academic assignments that parallel work experiences.
Start date has passed. Please register for the next start date.
26785 6980 10 Jan 2024-07 May 2024 Open Online
Faculty: Thakur, Kutub U Syllabus Course Materials
CSIA 486A Workplace Learning in Cybersecurity (3)
Prerequisites: 9 credits in the discipline and prior program approval (requirements detailed online at www.umgc.edu/wkpl). The integration of discipline-specific knowledge with new experiences in the work environment. Tasks include completing a series of academic assignments that parallel work experiences.
Start date has passed. Please register for the next start date.
26785 6980 10 Jan 2024-07 May 2024 Open Online
Faculty: DeGrazia, Bruce C 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.
21940 6380 10 Jan 2024-05 Mar 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.
Start date has passed. Please register for the next start date.
22064 6381 10 Jan 2024-05 Mar 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.
22080 6382 10 Jan 2024-05 Mar 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.
22105 6383 10 Jan 2024-05 Mar 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.
Start date has passed. Please register for the next start date.
22210 6384 10 Jan 2024-05 Mar 2024 Open 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.
Start date has passed. Please register for the next start date.
22782 6980 14 Feb 2024-09 Apr 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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22814 6981 14 Feb 2024-09 Apr 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.
24343 7380 13 Mar 2024-07 May 2024 Closed Online
Faculty: Chulis, Kimberly 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.
24499 7381 13 Mar 2024-07 May 2024 Closed 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.
24546 7382 13 Mar 2024-07 May 2024 Closed Online
Faculty: Menta, Prasanna K 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.
24609 7383 13 Mar 2024-07 May 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.
Start date has passed. Please register for the next start date.
27141 6385 10 Jan 2024-05 Mar 2024 Open 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.
Start date has passed. Please register for the next start date.
27312 6386 10 Jan 2024-05 Mar 2024 Open Online
Faculty: Dogan, Tuncay 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.
27513 6982 14 Feb 2024-09 Apr 2024 Open Online
Faculty: Chulis, Kimberly 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.
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25849 6380 10 Jan 2024-05 Mar 2024 Open Online
Faculty: Goldberg, Katherine Leaming 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.
25850 7380 13 Mar 2024-07 May 2024 Closed Online
Faculty: Huang, Steward H 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.
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27019 6381 10 Jan 2024-05 Mar 2024 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.
27422 7381 13 Mar 2024-07 May 2024 Open Online
Faculty: Martin, Ulyana P 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.
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22041 6380 10 Jan 2024-05 Mar 2024 Open Online
Faculty: Zeleke, Abebaw 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.
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22073 6381 10 Jan 2024-05 Mar 2024 Open Online
Faculty: Genao, Domingo 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.
24344 7380 13 Mar 2024-07 May 2024 Closed 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.
24495 7381 13 Mar 2024-07 May 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.
24532 7382 13 Mar 2024-07 May 2024 Open Online
Faculty: Shpaner, Leonid 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.
27099 6382 10 Jan 2024-05 Mar 2024 Open Online
Faculty: Cook, John A 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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22031 6380 10 Jan 2024-05 Mar 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.
22032 6381 10 Jan 2024-05 Mar 2024 Open Online
Faculty: Britto, Joseph Solomon 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.
22806 6980 14 Feb 2024-09 Apr 2024 Open Online
Faculty: Trajkovski, Goran 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.
24464 7380 13 Mar 2024-07 May 2024 Closed Online
Faculty: Heuermann, Lewis Edward 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.
24509 7381 13 Mar 2024-07 May 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.
27569 7382 13 Mar 2024-07 May 2024 Open Online
Faculty: 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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22040 6380 10 Jan 2024-05 Mar 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.
24345 7380 13 Mar 2024-07 May 2024 Closed Online
Faculty: Tran, Anh L 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.
24508 7381 13 Mar 2024-07 May 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.
26812 6381 10 Jan 2024-05 Mar 2024 Open Online
Faculty: Goldberg, Katherine Leaming 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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22039 6380 10 Jan 2024-05 Mar 2024 Open 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.
24346 7380 13 Mar 2024-07 May 2024 Open Online
Faculty: Chakraborty, Sounak 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.
27097 7381 13 Mar 2024-07 May 2024 Open Online
Faculty: Jemberie, Chalachew T 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.
27221 6381 10 Jan 2024-05 Mar 2024 Open Online
Faculty: Chakraborty, Sounak 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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22024 6380 10 Jan 2024-05 Mar 2024 Closed Online
Faculty: Rai, Paritosh 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.
24458 7380 13 Mar 2024-07 May 2024 Open Online
Faculty: Cook, John A 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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22025 6380 10 Jan 2024-05 Mar 2024 Open Online
Faculty: Schultz, Christopher 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.
24459 7380 13 Mar 2024-07 May 2024 Open Online
Faculty: Burkhardt, Michael H 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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22026 6380 10 Jan 2024-05 Mar 2024 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.
24460 7380 13 Mar 2024-07 May 2024 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.
Start date has passed. Please register for the next start date.
25851 6380 10 Jan 2024-05 Mar 2024 Open Online
Faculty: Bolton, Jeremy 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.
25852 7380 13 Mar 2024-07 May 2024 Open Online
Faculty: Jha, Manoj K 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.
27363 7381 13 Mar 2024-07 May 2024 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.
Start date has passed. Please register for the next start date.
25853 6380 10 Jan 2024-05 Mar 2024 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.
25854 7380 13 Mar 2024-07 May 2024 Open Online
Faculty: Rai, Paritosh 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.
26844 7381 13 Mar 2024-07 May 2024 Open Online
Faculty: Chesney, Steve L 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.
20863 6380 10 Jan 2024-05 Mar 2024 Open 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.
20864 6381 10 Jan 2024-05 Mar 2024 Open Online
Faculty: Fishel, Dianne 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.
Start date has passed. Please register for the next start date.
20865 6382 10 Jan 2024-05 Mar 2024 Open Online
Faculty: Carroll, Richard K 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.
21758 6383 10 Jan 2024-05 Mar 2024 Open Online
Faculty: Wasihun, Tizita 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.
Start date has passed. Please register for the next start date.
21888 6384 10 Jan 2024-05 Mar 2024 Open Online
Faculty: Ostrom, Douglas Roy 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.
21974 6385 10 Jan 2024-05 Mar 2024 Open 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.
Start date has passed. Please register for the next start date.
22010 6386 10 Jan 2024-05 Mar 2024 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.
22202 6387 10 Jan 2024-05 Mar 2024 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.
Start date has passed. Please register for the next start date.
22416 6980 14 Feb 2024-09 Apr 2024 Open Online
Faculty: Burfisher, Mary 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.
22723 6981 14 Feb 2024-09 Apr 2024 Open Online
Faculty: Almoguera, Pedro A Syllabus Course Materials
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