Quick Search
- Accounting
- Acquisition and Contract Mgmt
- Bioinformatics
- Biotechnology Studies
- Biosecurity and Biodefense
- Biotechnology Management
- Biotech Regulatory Affairs
- Cyber Comm & Leadership
- Doctoral Stds in Comm College
- Cloud Computing Systems
- Criminal Justice Management
- Cybersecurity Mgmt and Policy
- Cyber Operations
- Cybersecurity Technology
- Cybersecurity
- Data Analytics
- Doctor of Business Admin
- Database Systems Technology
- Decisive Comm & Leadership
- DE Policy and Management
- Distance Education Technology
- DE in Teaching and Training
- Digital Forensics & Cyber Inv
- Doctoral Stds in Comm College
- Education: Instructional Tec
- Education Teacher Preparation
- Emergency Management
- Environmental Management
- Financial Management
- Global Health Management
- Health Care Administration
- Health Informatics Admin
- Human Resource Mgmt and Devpm
- Homeland Security Management
- Informatics
- Information Assurance
- Intelligence Management
- Education: Instructional Tech
- Information Systems & Service
- Information Technology
- Learning Design & Technology
- Business Administration
- Management
- Marketing
- MS in Acct Financial Mgmt
- Strategic Communications
- Nonprofit Management
- Distance Education
- Project Management
- Software Engineering
- Systems Engineering
- Transformational Leadership
- Univ College Special Topics
2024 Spring: January 10 - June 25
Course | Class No. | Section | Start & End Date | Day | Time | Status | Location |
---|
2024 Spring: January 10 - June 25
Course | Class No. | Section | Start & End Date | Day | Time | Status | Location |
---|---|---|---|---|---|---|---|
CST 630 | Advanced Cyber Exploitation and Mitigation Methodologies (6) | ||||||
Prerequisite: CST 620. Practice intrusion detection and prevention, exploitation, and mitigation in cyberspace. Employ technological solutions that identify, resolve, prevent, and mitigate cyber attacks Utilize network security techniques, monitoring, auditing, intrusion detection and prevention, and ethical penetration testing. Use state-of-the-art tools and technologies in a lab-intensive environment that provide hands-on, real-world experience. |
|||||||
Start date has passed. Please register for the next start date. | |||||||
27726 | 9045 | 10 Apr 2024-25 Jun 2024 | Open | Online | |||
Faculty: Bunnell, Patricia D | Syllabus | Course Materials | |||||
CST 640 | Digital Forensics Technology and Practices (6) | ||||||
Prerequisite: CST 630. Gain proficiency with the tools and technologies commonly used in forensic examinations, and utilize best practices. Explore procedures for securing and validating evidence, including digital media and physical memory, as well as for recovering artifacts and analyzing, reporting, and presenting results in both criminal and civil situations. Gain experience with mobile forensic analysis. Students may receive credit for only one of the following courses: CST 640 or DFC 620. |
|||||||
Start date has passed. Please register for the next start date. | |||||||
20249 | 9040 | 10 Apr 2024-25 Jun 2024 | Closed | Online | |||
Faculty: Ball, Michael G | Syllabus | Course Materials | |||||
CST 640 | Digital Forensics Technology and Practices (6) | ||||||
Prerequisite: CST 630. Gain proficiency with the tools and technologies commonly used in forensic examinations, and utilize best practices. Explore procedures for securing and validating evidence, including digital media and physical memory, as well as for recovering artifacts and analyzing, reporting, and presenting results in both criminal and civil situations. Gain experience with mobile forensic analysis. Students may receive credit for only one of the following courses: CST 640 or DFC 620. |
|||||||
Start date has passed. Please register for the next start date. | |||||||
20311 | 9041 | 10 Apr 2024-25 Jun 2024 | Closed | Online | |||
Faculty: Rosales, Josue R | Syllabus | Course Materials | |||||
CST 640 | Digital Forensics Technology and Practices (6) | ||||||
Prerequisite: CST 630. Gain proficiency with the tools and technologies commonly used in forensic examinations, and utilize best practices. Explore procedures for securing and validating evidence, including digital media and physical memory, as well as for recovering artifacts and analyzing, reporting, and presenting results in both criminal and civil situations. Gain experience with mobile forensic analysis. Students may receive credit for only one of the following courses: CST 640 or DFC 620. |
|||||||
Start date has passed. Please register for the next start date. | |||||||
20312 | 9042 | 10 Apr 2024-25 Jun 2024 | Closed | Online | |||
Faculty: Holcomb, James E | Syllabus | Course Materials | |||||
CST 640 | Digital Forensics Technology and Practices (6) | ||||||
Prerequisite: CST 630. Gain proficiency with the tools and technologies commonly used in forensic examinations, and utilize best practices. Explore procedures for securing and validating evidence, including digital media and physical memory, as well as for recovering artifacts and analyzing, reporting, and presenting results in both criminal and civil situations. Gain experience with mobile forensic analysis. Students may receive credit for only one of the following courses: CST 640 or DFC 620. |
|||||||
Start date has passed. Please register for the next start date. | |||||||
20313 | 9043 | 10 Apr 2024-25 Jun 2024 | Closed | Online | |||
Faculty: Meky, Mohamed M | Syllabus | Course Materials | |||||
CST 640 | Digital Forensics Technology and Practices (6) | ||||||
Prerequisite: CST 630. Gain proficiency with the tools and technologies commonly used in forensic examinations, and utilize best practices. Explore procedures for securing and validating evidence, including digital media and physical memory, as well as for recovering artifacts and analyzing, reporting, and presenting results in both criminal and civil situations. Gain experience with mobile forensic analysis. Students may receive credit for only one of the following courses: CST 640 or DFC 620. |
|||||||
25325 | 7631 | 10 Apr 2024-25 Jun 2024 | W | 6:30P-9:30P | Open | Dorsey Station (Hybrid) | |
Faculty: Okui, Bolanissa D | Syllabus | Course Materials | |||||
Note: Dorsey Station: Classroom assignments are subject to change. Please view the electronic board in the hallway for your classroom assignment. | |||||||
CST 640 | Digital Forensics Technology and Practices (6) | ||||||
Prerequisite: CST 630. Gain proficiency with the tools and technologies commonly used in forensic examinations, and utilize best practices. Explore procedures for securing and validating evidence, including digital media and physical memory, as well as for recovering artifacts and analyzing, reporting, and presenting results in both criminal and civil situations. Gain experience with mobile forensic analysis. Students may receive credit for only one of the following courses: CST 640 or DFC 620. |
|||||||
Start date has passed. Please register for the next start date. | |||||||
27619 | 9044 | 10 Apr 2024-25 Jun 2024 | Open | Online | |||
Faculty: Garuba, Moses | Syllabus | Course Materials | |||||
CYB 670 | Cybersecurity Capstone (6) | ||||||
Prerequisite: CST 640, DFC 640, or CMP 640. Assume the role of a cybersecurity professional by examining current issues in cybersecurity management, including enterprise risk management, vulnerability assessment, threat analysis, crisis management, security architecture, security models, security policy development and implementation, security compliance, information privacy, identity management, incident response, disaster recovery, and business continuity planning, particularly in the health, banking, and finance sectors. |
|||||||
Start date has passed. Please register for the next start date. | |||||||
20296 | 9040 | 10 Apr 2024-25 Jun 2024 | Closed | Online | |||
Faculty: Salari, Reza Stephen | Syllabus | Course Materials | |||||
CYB 670 | Cybersecurity Capstone (6) | ||||||
Prerequisite: CST 640, DFC 640, or CMP 640. Assume the role of a cybersecurity professional by examining current issues in cybersecurity management, including enterprise risk management, vulnerability assessment, threat analysis, crisis management, security architecture, security models, security policy development and implementation, security compliance, information privacy, identity management, incident response, disaster recovery, and business continuity planning, particularly in the health, banking, and finance sectors. |
|||||||
Start date has passed. Please register for the next start date. | |||||||
20314 | 9041 | 10 Apr 2024-25 Jun 2024 | Open | Online | |||
Faculty: Mills, John R | Syllabus | Course Materials | |||||
CYB 670 | Cybersecurity Capstone (6) | ||||||
Prerequisite: CST 640, DFC 640, or CMP 640. Assume the role of a cybersecurity professional by examining current issues in cybersecurity management, including enterprise risk management, vulnerability assessment, threat analysis, crisis management, security architecture, security models, security policy development and implementation, security compliance, information privacy, identity management, incident response, disaster recovery, and business continuity planning, particularly in the health, banking, and finance sectors. |
|||||||
Start date has passed. Please register for the next start date. | |||||||
20315 | 9042 | 10 Apr 2024-25 Jun 2024 | Closed | Online | |||
Faculty: Glebocki, Joseph | Syllabus | Course Materials | |||||
CYB 670 | Cybersecurity Capstone (6) | ||||||
Prerequisite: CST 640, DFC 640, or CMP 640. Assume the role of a cybersecurity professional by examining current issues in cybersecurity management, including enterprise risk management, vulnerability assessment, threat analysis, crisis management, security architecture, security models, security policy development and implementation, security compliance, information privacy, identity management, incident response, disaster recovery, and business continuity planning, particularly in the health, banking, and finance sectors. |
|||||||
Start date has passed. Please register for the next start date. | |||||||
20325 | 9043 | 10 Apr 2024-25 Jun 2024 | Closed | Online | |||
Faculty: Nugent, Paul D | Syllabus | Course Materials | |||||
CYB 670 | Cybersecurity Capstone (6) | ||||||
Prerequisite: CST 640, DFC 640, or CMP 640. Assume the role of a cybersecurity professional by examining current issues in cybersecurity management, including enterprise risk management, vulnerability assessment, threat analysis, crisis management, security architecture, security models, security policy development and implementation, security compliance, information privacy, identity management, incident response, disaster recovery, and business continuity planning, particularly in the health, banking, and finance sectors. |
|||||||
Start date has passed. Please register for the next start date. | |||||||
20335 | 9044 | 10 Apr 2024-25 Jun 2024 | Open | Online | |||
Faculty: Hinz, Yurek K | Syllabus | Course Materials | |||||
CYB 670 | Cybersecurity Capstone (6) | ||||||
Prerequisite: CST 640, DFC 640, or CMP 640. Assume the role of a cybersecurity professional by examining current issues in cybersecurity management, including enterprise risk management, vulnerability assessment, threat analysis, crisis management, security architecture, security models, security policy development and implementation, security compliance, information privacy, identity management, incident response, disaster recovery, and business continuity planning, particularly in the health, banking, and finance sectors. |
|||||||
Start date has passed. Please register for the next start date. | |||||||
20346 | 9045 | 10 Apr 2024-25 Jun 2024 | Open | Online | |||
Faculty: Olson, Karl M | Syllabus | Course Materials | |||||
CYB 670 | Cybersecurity Capstone (6) | ||||||
Prerequisite: CST 640, DFC 640, or CMP 640. Assume the role of a cybersecurity professional by examining current issues in cybersecurity management, including enterprise risk management, vulnerability assessment, threat analysis, crisis management, security architecture, security models, security policy development and implementation, security compliance, information privacy, identity management, incident response, disaster recovery, and business continuity planning, particularly in the health, banking, and finance sectors. |
|||||||
Start date has passed. Please register for the next start date. | |||||||
20347 | 9046 | 10 Apr 2024-25 Jun 2024 | Open | Online | |||
Faculty: Leerburger, Marian | Syllabus | Course Materials | |||||
CYB 670 | Cybersecurity Capstone (6) | ||||||
Prerequisite: CST 640, DFC 640, or CMP 640. Assume the role of a cybersecurity professional by examining current issues in cybersecurity management, including enterprise risk management, vulnerability assessment, threat analysis, crisis management, security architecture, security models, security policy development and implementation, security compliance, information privacy, identity management, incident response, disaster recovery, and business continuity planning, particularly in the health, banking, and finance sectors. |
|||||||
25727 | 7641 | 10 Apr 2024-25 Jun 2024 | Th | 6:30P-9:30P | Open | Dorsey Station (Hybrid) | |
Faculty: Jones, Angel J | Syllabus | Course Materials | |||||
Note: Dorsey Station: Classroom assignments are subject to change. Please view the electronic board in the hallway for your classroom assignment. | |||||||
DATA 610 | Decision Management Systems (6) | ||||||
An examination of the process of decision making in large organizations and the technologies that can be used to enhance data-driven decision making. Focus is on the underlying framework of good decision making, featuring operational decisions as reusable assets that can be automated through the creation of business rules. How data can add analytic insight to improve decisions is explored. Discussion covers best practices for long-term success of an analytics project in terms of project management and communications with an emphasis on the Cross-Industry Standard Process for Data Mining (CRISP-DM) methodology. |
|||||||
Start date has passed. Please register for the next start date. | |||||||
24949 | 9040 | 10 Jan 2024-02 Apr 2024 | Open | Online | |||
Faculty: Moretto, Laila | Syllabus | Course Materials | |||||
DATA 610 | Decision Management Systems (6) | ||||||
An examination of the process of decision making in large organizations and the technologies that can be used to enhance data-driven decision making. Focus is on the underlying framework of good decision making, featuring operational decisions as reusable assets that can be automated through the creation of business rules. How data can add analytic insight to improve decisions is explored. Discussion covers best practices for long-term success of an analytics project in terms of project management and communications with an emphasis on the Cross-Industry Standard Process for Data Mining (CRISP-DM) methodology. |
|||||||
Start date has passed. Please register for the next start date. | |||||||
24982 | 9041 | 10 Jan 2024-02 Apr 2024 | Open | Online | |||
Faculty: Heboyan, Vahe | Syllabus | Course Materials | |||||
DATA 610 | Decision Management Systems (6) | ||||||
An examination of the process of decision making in large organizations and the technologies that can be used to enhance data-driven decision making. Focus is on the underlying framework of good decision making, featuring operational decisions as reusable assets that can be automated through the creation of business rules. How data can add analytic insight to improve decisions is explored. Discussion covers best practices for long-term success of an analytics project in terms of project management and communications with an emphasis on the Cross-Industry Standard Process for Data Mining (CRISP-DM) methodology. |
|||||||
Start date has passed. Please register for the next start date. | |||||||
25110 | 9080 | 14 Feb 2024-07 May 2024 | Open | Online | |||
Faculty: Larson, Deanne M | Syllabus | Course Materials | |||||
DATA 620 | Data Management and Visualization (6) | ||||||
Prerequisite: DATA 610. A presentation of the fundamental concepts and techniques in managing and presenting data for effective data-driven decision making. Topics in data management and design include data design approaches for performance and availability, such as data storage and indexing strategies; data warehousing, such as requirement analysis, dimensional modeling, and ETL (extract, transform, load) processing; and metadata management. Topics in data visualization include data types; data dimensionalities, such as time-series and geospatial data; forms of data visualization, including heat maps and infographs; and best practices for usable, consumable, and actionable data/results presentation. |
|||||||
Start date has passed. Please register for the next start date. | |||||||
24950 | 9040 | 10 Jan 2024-02 Apr 2024 | Open | Online | |||
Faculty: Beam, Caroline M | Syllabus | Course Materials | |||||
DATA 620 | Data Management and Visualization (6) | ||||||
Prerequisite: DATA 610. A presentation of the fundamental concepts and techniques in managing and presenting data for effective data-driven decision making. Topics in data management and design include data design approaches for performance and availability, such as data storage and indexing strategies; data warehousing, such as requirement analysis, dimensional modeling, and ETL (extract, transform, load) processing; and metadata management. Topics in data visualization include data types; data dimensionalities, such as time-series and geospatial data; forms of data visualization, including heat maps and infographs; and best practices for usable, consumable, and actionable data/results presentation. |
|||||||
Start date has passed. Please register for the next start date. | |||||||
24978 | 9041 | 10 Jan 2024-02 Apr 2024 | Open | Online | |||
Faculty: AL-Ghandour, Majed N | Syllabus | Course Materials | |||||
DATA 620 | Data Management and Visualization (6) | ||||||
Prerequisite: DATA 610. A presentation of the fundamental concepts and techniques in managing and presenting data for effective data-driven decision making. Topics in data management and design include data design approaches for performance and availability, such as data storage and indexing strategies; data warehousing, such as requirement analysis, dimensional modeling, and ETL (extract, transform, load) processing; and metadata management. Topics in data visualization include data types; data dimensionalities, such as time-series and geospatial data; forms of data visualization, including heat maps and infographs; and best practices for usable, consumable, and actionable data/results presentation. |
|||||||
Start date has passed. Please register for the next start date. | |||||||
25111 | 9080 | 14 Feb 2024-07 May 2024 | Open | Online | |||
Faculty: Ajayi, Rosiji O | Syllabus | Course Materials | |||||
DATA 620 | Data Management and Visualization (6) | ||||||
Prerequisite: DATA 610. A presentation of the fundamental concepts and techniques in managing and presenting data for effective data-driven decision making. Topics in data management and design include data design approaches for performance and availability, such as data storage and indexing strategies; data warehousing, such as requirement analysis, dimensional modeling, and ETL (extract, transform, load) processing; and metadata management. Topics in data visualization include data types; data dimensionalities, such as time-series and geospatial data; forms of data visualization, including heat maps and infographs; and best practices for usable, consumable, and actionable data/results presentation. |
|||||||
Start date has passed. Please register for the next start date. | |||||||
26875 | 9042 | 10 Jan 2024-02 Apr 2024 | Open | Online | |||
Faculty: Cross, George M | Syllabus | Course Materials | |||||
DATA 630 | Machine Learning (6) | ||||||
Prerequisite: DATA 620. A practical survey of several modern machine learning techniques that can be applied to make informed business decisions. Discussion covers supervised and unsupervised learning techniques, including naïve Bayes, regression, decision trees, neural networks, nearest neighbor, and cluster analysis. How each of these methods learns from past data to find underlying patterns useful for prediction, classification, and exploratory data analysis is examined. Discussion covers significant tasks in real-world applications, including handling of missing data, evaluating classifiers, and measuring precision. Major software tools are used to apply machine learning methods in a wide range of domains such as healthcare, finance, marketing, and government. |
|||||||
Start date has passed. Please register for the next start date. | |||||||
24951 | 9040 | 10 Jan 2024-02 Apr 2024 | Open | Online | |||
Faculty: Gates, Ami M | Syllabus | Course Materials | |||||
DATA 630 | Machine Learning (6) | ||||||
Prerequisite: DATA 620. A practical survey of several modern machine learning techniques that can be applied to make informed business decisions. Discussion covers supervised and unsupervised learning techniques, including naïve Bayes, regression, decision trees, neural networks, nearest neighbor, and cluster analysis. How each of these methods learns from past data to find underlying patterns useful for prediction, classification, and exploratory data analysis is examined. Discussion covers significant tasks in real-world applications, including handling of missing data, evaluating classifiers, and measuring precision. Major software tools are used to apply machine learning methods in a wide range of domains such as healthcare, finance, marketing, and government. |
|||||||
Start date has passed. Please register for the next start date. | |||||||
24983 | 9041 | 10 Jan 2024-02 Apr 2024 | Open | Online | |||
Faculty: Bati, Firdu | Syllabus | Course Materials | |||||
DATA 640 | Predictive Modeling (6) | ||||||
Prerequisite: DATA 630. An introduction to advanced concepts in predictive modeling and techniques to discover patterns in data, identify variables with the most predictive power, and develop predictive models. Advanced statistical and machine learning algorithms such as support vector machines (SVM), regression, deep learning, and ensemble models are used to develop, assess, compare, and explain complex predictive models. Topics include high-performance modeling, genetic algorithms, and best practices for selecting methods and tools to build predictive models. Major software tools are used to apply predictive modeling in a wide range of domains for improved decision-making in real business situations. |
|||||||
Start date has passed. Please register for the next start date. | |||||||
24966 | 9040 | 10 Jan 2024-02 Apr 2024 | Closed | Online | |||
Faculty: Knode, Charles S | Syllabus | Course Materials |
Page 1 2 3 4 5 6 (7) 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 |