Education
During my time in San Diego, I attended San Elijo Middle School and San Marcos High School. After high school, I attended Palomar Community College before transfering to California State University San Marcos. As an MIS major, I've had great opportunities in taking classes I'm interested in, like:
- MIS 304 - Principles of Management Information Systems: Introduction to subjects in management information systems. Includes computer hardware and software, databases, information systems development, and the role of information systems in the organization.
- MIS 320 - MIS Executives Seminar: Exposes students to challenges facing various industries and introduces students to innovative information system solutions to enhance organizational effectiveness through guest speeches and discovery learning.
- MIS 388 - Java Programming: Covers methods for developing solutions to business and system problems using object-oriented techniques. Covers the fundamental elements of object-oriented programming. Students will learn how to use classes and objects, and the Java Library to develop object-oriented business applications.
- MIS 408 - Information Systems for Business Intelligence: Provides an introduction to using Decision Support Systems for business intelligence. Data management, data warehouses and data marts that support reporting and online analytic processing are studied. The use of key performance indicators, dashboards and scorecards for performance management and opportunity assessment are addressed. Text and web mining are discussed, and the applications of selected machine learning techniques, such as decision trees, genetic algorithm and neural network, are illustrated.
- MIS 410 - Web Development and Business Analytics in Python: Introduces popular programming languages and frameworks for Web Development and Business Intelligence Applications. Teaches students basic Python languages and Python tools that are used to develop web sites and solve business intelligence problems.
- MIS 411 - Database Management: Introduction to data modeling, database design, and database administration. Coverage of the relational database model and construction of a database application using a relational database management system.
- MIS 418 - Information Security Management: Explores information security issues in the areas most commonly encountered in the business environment, using real-life situations. Illustrates how information security addresses current legal requirements, technical threats, and social environments. Examines information security history and purpose, legal issues, development and enforcement of policies and standards, risk management, current threats, technologies, and security program implementation.
- MIS 425 - Business Systems Development: Introduces the methodologies that are widely used in Information Systems Development Projects. Discusses both general project management issues/techniques, such as project scheduling and critical path analysis, and methodologies specifically used in business systems development, such as SDLC, Agile approach, etc.
- MIS 426 - Telecommunication and Network Security: Introduces telecommunications and network security issues typically encountered in management. Focuses on network technologies used by the majority of businesses today along with the information security concepts and practices necessary to implement a secure networking environment for an organization’s desktop and data center operations.
- MIS 460 - Artificial Intelligence: Introduces Artificial Intelligence (AI) from a business information systems perspective, addressing business AI systems design and development, core components and technology, workflows, organizational/social interaction, and their business applications. Teaches the latest AI techniques to build intelligent machines that can perceive, learn, reason, and make decisions automatically and autonomously. Explores how AI is used to empower the various aspects of business administration, such as marketing, human resources, customer management, strategic planning. Emphasizes practice, designing, and implementing AI systems for real-world problem solving
- MIS 498 - Independent Study: Prompt Engineering of GPT-Based Large Language Models - Comprehensive research paper on prompt engineering methodologies for optimizing human-AI interactions, with a specific focus on ChatGPT. The paper explores diverse techniques, including prompting with examples, System 1 and System 2 questions, emotion-driven prompts, prompt programming, and prompt patterns. The evaluation results highlight the strengths and considerations of each methodology, emphasizing their impact on precision, adaptability, versatility, and user engagement.