| 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. |
|
81017 |
6382 |
16 Aug 2023-10 Oct 2023 |
|
|
Open |
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. |
| Start date has passed. Please register for the next start date. |
|
82221 |
6980 |
20 Sep 2023-14 Nov 2023 |
|
|
Open |
Online |
|
Faculty: Cole, Susan B. |
|
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. |
|
82849 |
7380 |
18 Oct 2023-12 Dec 2023 |
|
|
Closed |
Online |
|
Faculty: McCord, Gregory L |
|
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. |
|
82975 |
7381 |
18 Oct 2023-12 Dec 2023 |
|
|
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. |
|
83258 |
7382 |
18 Oct 2023-12 Dec 2023 |
|
|
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. |
|
85264 |
7725 |
16 Aug 2023-10 Oct 2023 |
Th |
6:30P-9:30P |
Open |
Arundel Mills (Hybrid) |
|
Faculty: Kostic, Linda C |
Bldg/Room: Arundel Mills 211 |
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. |
|
85275 |
4060 |
18 Oct 2023-12 Dec 2023 |
W |
6:30P-9:30P |
Open |
College Park (Hybrid) |
|
Faculty: Camilien, Mario |
Bldg/Room: Hornbake Library (Undergrad) 0103 |
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. |
|
81023 |
6380 |
16 Aug 2023-10 Oct 2023 |
|
|
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. |
|
81024 |
6381 |
16 Aug 2023-10 Oct 2023 |
|
|
Open |
Online |
|
Faculty: Thakur, Kutub U |
|
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. |
|
82222 |
6980 |
20 Sep 2023-14 Nov 2023 |
|
|
Open |
Online |
|
Faculty: Shah, Farhat I |
|
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. |
|
82851 |
7380 |
18 Oct 2023-12 Dec 2023 |
|
|
Closed |
Online |
|
Faculty: Brandenburg, Eric 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. |
|
83253 |
7381 |
18 Oct 2023-12 Dec 2023 |
|
|
Open |
Online |
|
Faculty: Thakur, Kutub U |
|
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. |
|
85276 |
7765 |
18 Oct 2023-12 Dec 2023 |
Th |
6:30P-9:30P |
Open |
Arundel Mills (Hybrid) |
|
Faculty: Barker, Helen G |
Bldg/Room: Arundel Mills 211 |
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. |
|
86839 |
6382 |
16 Aug 2023-10 Oct 2023 |
|
|
Open |
Online |
|
Faculty: Lippe, Adam D |
|
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. |
|
81025 |
6380 |
16 Aug 2023-10 Oct 2023 |
|
|
Open |
Online |
|
Faculty: Henderson, Jonathon R |
|
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. |
|
81026 |
6381 |
16 Aug 2023-10 Oct 2023 |
|
|
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. |
|
82223 |
6980 |
20 Sep 2023-14 Nov 2023 |
|
|
Open |
Online |
|
Faculty: Colon, Lilian 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. |
|
82852 |
7380 |
18 Oct 2023-12 Dec 2023 |
|
|
Closed |
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. |
|
83251 |
7381 |
18 Oct 2023-12 Dec 2023 |
|
|
Open |
Online |
|
Faculty: Wagner, Lily Yeung |
|
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. |
|
80764 |
6380 |
16 Aug 2023-10 Oct 2023 |
|
|
Open |
Online |
|
Faculty: Heben, Heather L. |
|
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. |
|
80765 |
6381 |
16 Aug 2023-10 Oct 2023 |
|
|
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. |
|
83248 |
7380 |
18 Oct 2023-12 Dec 2023 |
|
|
Closed |
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. |
|
83250 |
7381 |
18 Oct 2023-12 Dec 2023 |
|
|
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. |
|
85268 |
5425 |
16 Aug 2023-10 Oct 2023 |
Th |
6:30P-9:30P |
Open |
Laurel (Hybrid) |
|
Faculty: Onyegbula, Festus C |
Bldg/Room: Laurel College Center 400 |
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. |
|
80658 |
6380 |
16 Aug 2023-10 Oct 2023 |
|
|
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. |
| Start date has passed. Please register for the next start date. |
|
81399 |
6381 |
16 Aug 2023-10 Oct 2023 |
|
|
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. |
|
83246 |
7380 |
18 Oct 2023-12 Dec 2023 |
|
|
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. |
|
83247 |
7381 |
18 Oct 2023-12 Dec 2023 |
|
|
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. |
|
85281 |
5150 |
18 Oct 2023-12 Dec 2023 |
M |
6:30P-9:30P |
Open |
Shady Grove (Hybrid) |
|
Faculty: Uribe, Felix A |
Bldg/Room: Shady Grove Center, Bldg III 2230 |
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. |
|
80679 |
6380 |
16 Aug 2023-10 Oct 2023 |
|
|
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. |
| Start date has passed. Please register for the next start date. |
|
80804 |
6381 |
16 Aug 2023-10 Oct 2023 |
|
|
Open |
Online |
|
Faculty: Leerburger, Marian |
|
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. |
|
83811 |
7380 |
18 Oct 2023-12 Dec 2023 |
|
|
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. |
|
83812 |
7381 |
18 Oct 2023-12 Dec 2023 |
|
|
Closed |
Online |
|
Faculty: Boyles, Kyle D |
|
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. |
|
83813 |
7382 |
18 Oct 2023-12 Dec 2023 |
|
|
Closed |
Online |
|
Faculty: Van Beuge, Douglas C. |
|
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. |
|
83814 |
7383 |
18 Oct 2023-12 Dec 2023 |
|
|
Open |
Online |
|
Faculty: Bell, Megan R |
|
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. |
|
81815 |
6380 |
16 Aug 2023-10 Oct 2023 |
|
|
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. |
|
81860 |
6381 |
16 Aug 2023-10 Oct 2023 |
|
|
Open |
Online |
|
Faculty: Katz, Gary 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. |
|
81939 |
6382 |
16 Aug 2023-10 Oct 2023 |
|
|
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. |
|
84169 |
7380 |
18 Oct 2023-12 Dec 2023 |
|
|
Open |
Online |
|
Faculty: Wrightson, Christopher 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. |
|
84215 |
7381 |
18 Oct 2023-12 Dec 2023 |
|
|
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. |
|
84242 |
7382 |
18 Oct 2023-12 Dec 2023 |
|
|
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. |
|
84276 |
7383 |
18 Oct 2023-12 Dec 2023 |
|
|
Open |
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. |
| Start date has passed. Please register for the next start date. |
|
86624 |
6383 |
16 Aug 2023-10 Oct 2023 |
|
|
Open |
Online |
|
Faculty: Ajayi, Rosiji O |
|
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. |
|
86827 |
6384 |
16 Aug 2023-10 Oct 2023 |
|
|
Open |
Online |
|
Faculty: Larson, Deanne 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. |
|
86991 |
6385 |
16 Aug 2023-10 Oct 2023 |
|
|
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. |
|
87172 |
7384 |
18 Oct 2023-12 Dec 2023 |
|
|
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. |
|
87308 |
7385 |
18 Oct 2023-12 Dec 2023 |
|
|
Open |
Online |
|
Faculty: Martin, Ulyana P |
|
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. |
|
87400 |
7386 |
18 Oct 2023-12 Dec 2023 |
|
|
Open |
Online |
|
Faculty: Mintz, Rhonda S |
|
Syllabus |
Course Materials
|
| DATA 230 |
Mathematics for Data Science (3) |
Prerequisites: STAT 200 and MATH 115 (or MATH 107 and MATH 108) or higher. A practical introduction to the mathematical principles applied within the context of data science. The aim is to understand the mathematical basis of data science and increase awareness of machine learning algorithm assumptions and limitations. Machine learning topics include linear regression, dimensionality reduction, and classification. Projects involve application of linear algebra, probability, vector calculus, and optimization to build data science solutions. |
|
85959 |
7380 |
18 Oct 2023-12 Dec 2023 |
|
|
Open |
Online |
|
Faculty: Goldberg, Katherine Leaming |
|
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. |
|
81816 |
6380 |
16 Aug 2023-10 Oct 2023 |
|
|
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. |
| Start date has passed. Please register for the next start date. |
|
81855 |
6381 |
16 Aug 2023-10 Oct 2023 |
|
|
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. |
|
84170 |
7380 |
18 Oct 2023-12 Dec 2023 |
|
|
Closed |
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. |
|
84216 |
7381 |
18 Oct 2023-12 Dec 2023 |
|
|
Open |
Online |
|
Faculty: Duan, Chaojie |
|
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. |
|
86868 |
6382 |
16 Aug 2023-10 Oct 2023 |
|
|
Open |
Online |
|
Faculty: Bolton, Jeremy |
|
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. |
|
86945 |
7382 |
18 Oct 2023-12 Dec 2023 |
|
|
Open |
Online |
|
Faculty: Gates, Ami M |
|
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. |
|
81822 |
6380 |
16 Aug 2023-10 Oct 2023 |
|
|
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. |
|
81823 |
6381 |
16 Aug 2023-10 Oct 2023 |
|
|
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. |
| Start date has passed. Please register for the next start date. |
|
82562 |
6980 |
20 Sep 2023-14 Nov 2023 |
|
|
Open |
Online |
|
Faculty: Perkins, David C |
|
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. |
|
84179 |
7380 |
18 Oct 2023-12 Dec 2023 |
|
|
Closed |
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. |
|
86640 |
7381 |
18 Oct 2023-12 Dec 2023 |
|
|
Open |
Online |
|
Faculty: Dean, Michael |
|
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. |
|
81839 |
6380 |
16 Aug 2023-10 Oct 2023 |
|
|
Closed |
Online |
|
Faculty: Goldberg, Katherine Leaming |
|
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. |
|
84171 |
7380 |
18 Oct 2023-12 Dec 2023 |
|
|
Closed |
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. |
| Start date has passed. Please register for the next start date. |
|
86611 |
6381 |
16 Aug 2023-10 Oct 2023 |
|
|
Open |
Online |
|
Faculty: Zeleke, Abebaw |
|
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. |
|
86833 |
7381 |
18 Oct 2023-12 Dec 2023 |
|
|
Open |
Online |
|
Faculty: Tran, Anh L |
|
Syllabus |
Course Materials
|
| DATA 430 |
Foundations of Machine Learning (3) |
Prerequisite: DATA 300. A hands-on introduction to machine learning principles and methods that can be applied to solve practical problems. Topics include supervised and unsupervised learning, especially linear regression, logistic regression, decision tree, naïve Bayes, and clustering analysis. Focus is on using data from a wide range of domains, such as healthcare, finance, marketing, and government, to build predictive models for informed decision-making. Discussion also covers handling missing data, performing cross-validation to avoid overtraining, evaluating classifiers, and measuring precision. |
| Start date has passed. Please register for the next start date. |
|
81818 |
6380 |
16 Aug 2023-10 Oct 2023 |
|
|
Open |
Online |
|
Faculty: Chesney, Steve L |
|
Syllabus |
Course Materials
|
| DATA 430 |
Foundations of Machine Learning (3) |
Prerequisite: DATA 300. A hands-on introduction to machine learning principles and methods that can be applied to solve practical problems. Topics include supervised and unsupervised learning, especially linear regression, logistic regression, decision tree, naïve Bayes, and clustering analysis. Focus is on using data from a wide range of domains, such as healthcare, finance, marketing, and government, to build predictive models for informed decision-making. Discussion also covers handling missing data, performing cross-validation to avoid overtraining, evaluating classifiers, and measuring precision. |
|
84173 |
7380 |
18 Oct 2023-12 Dec 2023 |
|
|
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. |
| Start date has passed. Please register for the next start date. |
|
86722 |
6381 |
16 Aug 2023-10 Oct 2023 |
|
|
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. |
| Start date has passed. Please register for the next start date. |
|
81817 |
6380 |
16 Aug 2023-10 Oct 2023 |
|
|
Open |
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. |
|
84172 |
7380 |
18 Oct 2023-12 Dec 2023 |
|
|
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. |
|
84174 |
7380 |
18 Oct 2023-12 Dec 2023 |
|
|
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. |
| Start date has passed. Please register for the next start date. |
|
85593 |
6380 |
16 Aug 2023-10 Oct 2023 |
|
|
Open |
Online |
|
Faculty: Schultz, Christopher |
|
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. |
| Start date has passed. Please register for the next start date. |
|
85594 |
6380 |
16 Aug 2023-10 Oct 2023 |
|
|
Open |
Online |
|
Faculty: Saripalli, Venkata R |
|
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. |
|
85595 |
7380 |
18 Oct 2023-12 Dec 2023 |
|
|
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. |
|
85596 |
6380 |
16 Aug 2023-10 Oct 2023 |
|
|
Open |
Online |
|
Faculty: Dave, Linesh Ramesh |
|
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. |
|
85597 |
7380 |
18 Oct 2023-12 Dec 2023 |
|
|
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. |
|
85599 |
7380 |
18 Oct 2023-12 Dec 2023 |
|
|
Closed |
Online |
|
Faculty: Dave, Linesh Ramesh |
|
Syllabus |
Course Materials
|
| DATA 495 |
Data Science Capstone (3) |
Prerequisites: DATA 440, DATA 445, and DATA 450. A project-based, practical application of the knowledge, technical skills, and critical thinking skills acquired during previous study designed to showcase the student¿s data science expertise. Individually selected projects include all phases of machine learning life cycles and a peer-reviewed final report and presentation. Topics are selected from student-affiliated organizations or employers, special government/private agency requests, or other faculty-approved sources in a wide range of domains, such as healthcare, financial services, marketing, sciences, and government. |
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86660 |
7381 |
18 Oct 2023-12 Dec 2023 |
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Open |
Online |
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Faculty: Chesney, Steve L |
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Syllabus |
Course Materials
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| 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. |
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80823 |
6380 |
16 Aug 2023-10 Oct 2023 |
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Open |
Online |
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Faculty: Rafaj, Maria |
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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. |
|
80824 |
6381 |
16 Aug 2023-10 Oct 2023 |
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Open |
Online |
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Faculty: Rice, Richard E |
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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. |
|
80825 |
6382 |
16 Aug 2023-10 Oct 2023 |
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Open |
Online |
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Faculty: Mills, Geofrey T |
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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. |
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81670 |
6383 |
16 Aug 2023-10 Oct 2023 |
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Open |
Online |
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Faculty: Matthews, Warren T |
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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. |
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81761 |
6384 |
16 Aug 2023-10 Oct 2023 |
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Open |
Online |
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Faculty: Lindo, Osmond A |
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Syllabus |
Course Materials
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| 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. |
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81799 |
6385 |
16 Aug 2023-10 Oct 2023 |
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Open |
Online |
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Faculty: Ostrom, Douglas Roy |
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Syllabus |
Course Materials
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| 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. |
|
81931 |
6386 |
16 Aug 2023-10 Oct 2023 |
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Open |
Online |
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Faculty: Manzagol, Olivia N |
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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. |
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82192 |
6980 |
20 Sep 2023-14 Nov 2023 |
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Open |
Online |
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Faculty: Kim, Alisha Abbie |
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Syllabus |
Course Materials
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| 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. |
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82522 |
6981 |
20 Sep 2023-14 Nov 2023 |
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Open |
Online |
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Faculty: Rafaj, Maria |
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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. |
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82538 |
6982 |
20 Sep 2023-14 Nov 2023 |
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Open |
Online |
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Faculty: Rice, Richard E |
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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. |
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82620 |
6983 |
20 Sep 2023-14 Nov 2023 |
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Open |
Online |
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Faculty: Morrison, Wendy N |
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Syllabus |
Course Materials
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| ECON 103 |
Economics in the Information Age (3) |
A survey of basic concepts and principles in micro- and macroeconomics and how the economy has been affected by technology. The aim is to define and explain the key terms and concepts in economics and determine how technology has affected consumers, producers, and markets, as well as economic growth and policy. Topics include how innovation affects labor markets, the value of information, and the role of technological change in the economy. |
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82825 |
7380 |
18 Oct 2023-12 Dec 2023 |
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Open |
Online |
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Faculty: Morrison, Wendy N |
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Syllabus |
Course Materials
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| 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. |
|
83200 |
7381 |
18 Oct 2023-12 Dec 2023 |
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Closed |
Online |
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Faculty: Araiza, Claudia L |
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Syllabus |
Course Materials
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| 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. |
|
83201 |
7382 |
18 Oct 2023-12 Dec 2023 |
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Closed |
Online |
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Faculty: Johnson, Anita R |
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Syllabus |
Course Materials
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| ECON 103 |
Economics in the Information Age (3) |
A survey of basic concepts and principles in micro- and macroeconomics and how the economy has been affected by technology. The aim is to define and explain the key terms and concepts in economics and determine how technology has affected consumers, producers, and markets, as well as economic growth and policy. Topics include how innovation affects labor markets, the value of information, and the role of technological change in the economy. |
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83967 |
7383 |
18 Oct 2023-12 Dec 2023 |
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Closed |
Online |
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Faculty: Slate, James W |
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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. |
|
84092 |
7384 |
18 Oct 2023-12 Dec 2023 |
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Closed |
Online |
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Faculty: Brodie, Allison E |
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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. |
|
84128 |
7385 |
18 Oct 2023-12 Dec 2023 |
|
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Closed |
Online |
|
Faculty: Ifediora, John O |
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Syllabus |
Course Materials
|
| ECON 103 |
Economics in the Information Age (3) |
A survey of basic concepts and principles in micro- and macroeconomics and how the economy has been affected by technology. The aim is to define and explain the key terms and concepts in economics and determine how technology has affected consumers, producers, and markets, as well as economic growth and policy. Topics include how innovation affects labor markets, the value of information, and the role of technological change in the economy. |
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84308 |
7386 |
18 Oct 2023-12 Dec 2023 |
|
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Open |
Online |
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Faculty: Lien, Irene SuYi |
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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. |
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86926 |
6387 |
16 Aug 2023-10 Oct 2023 |
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Open |
Online |
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Faculty: Nickey, Robert S |
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Syllabus |
Course Materials
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| ECON 201 |
Principles of Macroeconomics (3) |
An introductory study of the macroeconomy. The objective is to apply select macroeconomic theories to real-world situations. Discussion covers economic growth, technological innovation, unemployment, inflation, and the roles of monetary policy and fiscal policy in determining macroeconomic performance. Students may receive credit for only one of the following courses: ECON 201 or ECON 205. |
| Start date has passed. Please register for the next start date. |
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80392 |
6385 |
16 Aug 2023-10 Oct 2023 |
|
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Closed |
Online |
|
Faculty: Araiza, Claudia L |
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Syllabus |
Course Materials
|
| ECON 201 |
Principles of Macroeconomics (3) |
An introductory study of the macroeconomy. The objective is to apply select macroeconomic theories to real-world situations. Discussion covers economic growth, technological innovation, unemployment, inflation, and the roles of monetary policy and fiscal policy in determining macroeconomic performance. Students may receive credit for only one of the following courses: ECON 201 or ECON 205. |
| Start date has passed. Please register for the next start date. |
|
80476 |
6380 |
16 Aug 2023-10 Oct 2023 |
|
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Closed |
Online |
|
Faculty: Kim, Hong J |
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Syllabus |
Course Materials
|
| ECON 201 |
Principles of Macroeconomics (3) |
An introductory study of the macroeconomy. The objective is to apply select macroeconomic theories to real-world situations. Discussion covers economic growth, technological innovation, unemployment, inflation, and the roles of monetary policy and fiscal policy in determining macroeconomic performance. Students may receive credit for only one of the following courses: ECON 201 or ECON 205. |
| Start date has passed. Please register for the next start date. |
|
80482 |
6381 |
16 Aug 2023-10 Oct 2023 |
|
|
Closed |
Online |
|
Faculty: Lee, Eugene Y |
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Syllabus |
Course Materials
|
| ECON 201 |
Principles of Macroeconomics (3) |
An introductory study of the macroeconomy. The objective is to apply select macroeconomic theories to real-world situations. Discussion covers economic growth, technological innovation, unemployment, inflation, and the roles of monetary policy and fiscal policy in determining macroeconomic performance. Students may receive credit for only one of the following courses: ECON 201 or ECON 205. |
| Start date has passed. Please register for the next start date. |
|
80495 |
6382 |
16 Aug 2023-10 Oct 2023 |
|
|
Closed |
Online |
|
Faculty: Amatya, Ramesh N |
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Syllabus |
Course Materials
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