Your existing credits could accelerate your path to graduation and reduce your overall costs.
Your professional, personal, and academic experiences might provide you with an advantage as you pursue your degree.
No application fee
No SAT/ACT
No essay required
4 CREDIT HOURS
This course introduces the fundamentals of information systems, including their role in organizations, types of systems, and how they support business processes. Topics include systems development, data management, and the ethical considerations of information technology.
4 CREDIT HOURS
This course covers the design, implementation, and management of network infrastructure. Students will learn about network protocols, hardware, configuration, and troubleshooting. Emphasis is placed on creating secure and efficient network environments.
4 CREDIT HOURS
This course provides an overview of information security principles and practices. Topics include risk management, threat analysis, cryptography, access control, and the development of security policies. Students will gain hands-on experience with security tools and techniques.
4 CREDIT HOURS
This course focuses on protecting computer systems and networks from cyber threats. Students will learn about cyber defense strategies, incident response, ethical hacking, and cybersecurity frameworks. Practical exercises will reinforce theoretical knowledge.
4 CREDIT HOURS
This course introduces the fundamentals of the Linux operating system, including installation, configuration, and administration. Students will learn command-line operations, file system management, user administration, and basic scripting.
4 CREDIT HOURS
This course explores cloud computing technologies and their applications. Topics include cloud architecture, service models, deployment strategies, and management of cloud resources. Students will gain practical experience with cloud platforms and services.
4 CREDIT HOURS
This course covers the principles and practices of project management within the context of information technology. Topics include project planning, scheduling, resource allocation, risk management, and project evaluation. Students will learn to use project management tools and techniques.
4 CREDIT HOURS
This course introduces the Python programming language, focusing on basic syntax, data structures, and control flow. Students will learn to write, debug, and execute Python programs, with an emphasis on problem-solving and algorithm development.
4 CREDIT HOURS
This course builds on the foundations of Python I, covering advanced topics such as object-oriented programming, file handling, libraries, and frameworks. Students will work on complex projects to deepen their understanding of Python programming.
4 CREDIT HOURS
This course provides an in-depth study of web development, including front-end and back-end technologies. Students will learn HTML, CSS, JavaScript, and server-side scripting. The course also covers web design principles, database integration, and the deployment of web applications.
3 CREDIT HOURS
This course explores the impact of digital technologies on society, culture, and communication. Students will develop critical thinking skills regarding digital media, understand digital citizenship, and examine the ethical implications of digital interactions.
3 CREDIT HOURS
This course focuses on developing students' writing skills for academic purposes. Emphasizing the writing process, it includes instruction on thesis development, organization, style, and revision. Students will produce essays and engage in peer reviews to enhance their writing abilities.
3 CREDIT HOURS
This course provides an overview of the scientific study of behavior and mental processes. Topics include learning, memory, perception, motivation, development, and psychological disorders. Students will gain insights into the principles and methods of psychology.
3 CREDIT HOURS
This course covers fundamental mathematical concepts and techniques used in various fields. Topics may include algebra, geometry, statistics, and problem-solving strategies. Emphasis is placed on practical applications and developing quantitative reasoning skills.
4 CREDIT HOURS
This course provides an introduction to the core concepts and techniques of artificial intelligence. Topics include knowledge representation, search algorithms, machine learning, natural language processing, and robotics. Students will explore AI applications and ethical considerations.
4 CREDIT HOURS
This course covers the foundational principles of data science and its intersection with AI. Students will learn about data collection, cleaning, analysis, and visualization, as well as basic machine learning techniques. Emphasis is placed on practical applications and real-world problem-solving.
4 CREDIT HOURS
This course delves into the key methods and algorithms of machine learning and their application in AI. Topics include supervised and unsupervised learning, neural networks, and reinforcement learning. Students will engage in hands-on projects to apply machine learning techniques to various datasets.
10 week semester
17 week semester
17 week semester
DSDT is accredited by the Commission of the Council on Occupational Education.
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