MKT3010
- Subject
- MIS
- Credits (min)
- 4
- Credits (max)
- 4
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.southuniversity.edu
35 courses with the subject MIS, each shown exactly as we captured it from the college's catalog, with every element we hold. Where the wording looks broken, that is our reading of the catalog, not the college's text.
MKT3010
Prerequisite(s): None Corequisite(s): None Real-world projects dealing with issues related to development, management and maintenance of medium-size and large-scaled information systems with an emphasis on business information systems for a distributed environment. The identification of vulnerabilities and risks inherent in the operation of information systems are also explored.
Core: 28 Credits Course Code Title Quarter
Core: 28 Credits Course Code Title Quarter
System development and design and software engineering methodologies, with tools and techniques for the successful management of IT projects, project selection and approval, planning, estimation techniques, scheduling methods, budgeting, IT project organizations, and project control and assessment. Students explore each of the nine domains of project management including project planning, scheduling, risk management, cost management, and effective project control, as well as the associated pre-project and post-project activities that need to be performed for a project. Credits 4
Prerequisite(s): MIS5020 Corequisite(s): None The course includes case studies to provide an overview of contemporary information systems management in a digital enterprise. It focuses on the relevant issues of effective management of information services activities and highlights the areas of greatest potential application of the technology. The course emphasizes the skills and knowledge to identify and communicate business system needs, select the right information systems and integrate these systems into organizations to improve business performance. The course covers areas needed to prepare for the CGEIT (Certified in the Governance of Enterprise IT) certification exam from the Information Systems Audit and Control Association (ISACA).
Prerequisite(s): MIS6211 Corequisite(s): None This course provides an introduction to analysis, design, and implementation of decision support systems for engineering and business applications. Through an examination of the course concepts related to decision support systems, it will become apparent how decision support systems can assist and improve upon organizational decision- making measures. Operation research modeling techniques and software are integrated with databases systems and computer interfaces to create systems that aid managerial decision making. Structure, models, and modern corporate 469 | P a g e
This course explores the principles and best practices for modeling, designing, developing, and managing data assets in large enterprises. Students will examine database architectures used in large-scale commercial systems and learn how data management systems support data collection, organization, and distribution. The course also provides a comprehensive overview of data governance, covering the full business data life cycle—from system requirements and data preparation to warehousing—ensuring alignment with an organization’s mission and goals. Credits 4
This course is an introduction to computational theories of human cognition such as knowledge representation, problem solving, search, natural language processing, learning, etc. In addition to covering the fundamentals of Artificial Intelligence, the course also provides an opportunity to explore the contemporary cognitive computing topics such as data mining, machine learning, predictive analytics, big data and its applications. This is designed as a graduate seminar like course emphasizing study and discussion of a collection of contemporary technical papers. The students are expected to achieve an overview of recent research and application areas of cognitive computing. Credits 4.0
This course is an introduction to computational theories of human cognition such as knowledge representation, problem solving, search, natural language processing, learning, etc. In addition to covering the fundamentals of Artificial Intelligence, the course also provides an opportunity to explore the contemporary cognitive computing topics such as data mining, machine learning, predictive analytics, big data and its applications. This is designed as a graduate seminar like course emphasizing study and discussion of a collection of contemporary technical papers. The students are expected to achieve an overview of recent research and application areas of cognitive computing. Credits 4.0
This course covers the foundation of risk management in technology related areas. Students will be introduced to the concepts and framework of information risk management and fundamentals, information assurance, risk management requirements at an organizational level, risk assessment/mitigation strategies, and tools to monitor risk management solutions. The course covers areas needed to prepare for the CRISC (Certified in Risk and Information Systems Control) certification exam from the Information Systems Audit and Control Association (ISACA). Credits 4.0
This course covers the foundation of risk management in technology related areas. Students will be introduced to the concepts and framework of information risk management and fundamentals, information assurance, risk management requirements at an organizational level, risk assessment/mitigation strategies, and tools to monitor risk management solutions. The course covers areas needed to prepare for the CRISC (Certified in Risk and Information Systems Control) certification exam from the Information Systems Audit and Control Association (ISACA). Credits 4.0
Total Credits 48
Total Credits 48
Source: South University-High Point's catalog, linked per course · table learning_unit · CourseShelf publish 61