Computer Information Systems
21 courses · Coastline College · 2026-2027 Catalog
Classes: Fall 2026 · Spring 2027
CIS C100 Introduction to Information Systems
- Units
- 3
- Hours
- 54 lecture hours
- Transfers to
- CSU
Examination of information technologies and information systems used in business. This course prepares students with a non-programming introduction to information systems and personal computer applications including word processing, spreadsheets, database, and presentation software. Application of these concepts and methods through hands-on projects developing computer-based solutions to business problems.
CIS C105 Introduction to Business Office Technology
- Units
- 3
- Hours
- 54 lecture hours
- Transfers to
- CSU
Students will explore business applications and collaboration platforms to perform basic business tasks. Topics will include creating documents, spreadsheets, presentations, email and calendaring applications, ethics, and security. The practical application of these concepts and methods will be incorporated through hands-on projects to develop computer-based solutions to real-world business problems.
CIS C111 Information Systems, Programming, and Database Management
- Units
- 3
- Hours
- 54 lecture hours
- Advisory
- CIS C100.
- Transfers to
- CSU, UC
- C-ID
- BUS 140, ITIS 120
Student will explore information systems and their role in business. Topics include information systems, database management systems, computer networking devices, e-commerce, ethics and security, and computer systems hardware and software components. Application of these concepts and methods through hands-on projects developing computer-based solutions to business problems. Meets the lower division computer requirement for business majors at some California State University campuses.
CIS C157 Introduction to Python Programming
- Units
- 3
- Hours
- 54 lecture hours
- Advisory
- CIS C111.
- Transfers to
- CSU
Students will learn structured programming techniques using Python, an interpreted, high-level, and general-purpose programming language. The course is designed for students with no prior programming experience. Topics are introduced through hands-on practical exercises with an emphasis on variables, expressions, statements, programming with strings, and a general introduction to the principles of object-oriented programming. This course helps students prepare for careers such as Software Application Developer through the practical application of conditional statements, loops, and functions using the syntax of the Python programming language.
CIS C190 Introduction to Geographic Information Systems and Techniques with Lab
- Units
- 3
- Hours
- 54 lecture hours
- Transfers to
- CSU
An introduction to the concepts and use of Geographic Information Systems (GIS) and its role in analysis and decision making. Course work is based on the mapping and spatial analysis capabilities of GIS software programs. Students will be introduced to basic cartographic principles, maps, resolution, scale, coordinate systems, vector and raster systems, projections, and Global Positioning Systems (GPS). Through computer lab tutorials and case studies, students will learn to use GIS software to view relationships, patterns, or trends that are not possible to see with traditional charts, graphs, and spreadsheets. Enrollment Limitation: GEOG C155; students who complete CIS C190 may not enroll in or receive credit for GEOG C155.
CIS C191 Intermediate Geographic Information Systems (GIS)
- Units
- 3
- Hours
- 54 lecture hours
- Advisory
- CIS C190 or GEOG C155.
- Transfers to
- CSU
This intermediate-level Geographic Information Systems (GIS) course builds upon the foundational knowledge acquired in introductory GIS courses. It takes a deeper dive into the theory and application of GIS technologies, focusing on advanced spatial analysis, data management, and geospatial modeling. Students will gain a comprehensive understanding of GIS principles and develop proficiency in using GIS software to solve complex spatial problems. Through hands-on projects and case studies, students will apply GIS techniques to real-world scenarios.
CIS C205 Principles of Information Systems
- Units
- 3
- Hours
- 54 lecture hours
- Advisory
- CIS C105.
- Transfers to
- CSU
Students will explore how technology, organizations, and people create an information system to support business decisions. The course introduces key components of information systems, including hardware, software, data security and management, networks, privacy, and people. Students will understand how business resources align with technology plans and the impact of ecommerce on business productivity and customers. The practical application of these concepts and methods will be incorporated through hands-on projects to develop computer-based solutions to real-world business problems.
CIS C240 SQL Database Development
- Units
- 3
- Hours
- 54 lecture hours
- Advisory
- CIS C111.
- Transfers to
- CSU
Students will explore an introduction to relational database fundamentals and structured query language (SQL) programming skills. Topics covered include relational database architecture, database design techniques, data retrieval, data integrity, and simple and complex query skills. This course is intended for students new to the SQL programming language. Careers and emerging trends in the field will be evaluated.
CIS C250 Introduction to Data Analytics
- Units
- 3
- Hours
- 54 lecture hours
- Advisory
- CIS C111 and CIS C240 and ENGL C1000 and STAT C1000.
- Transfers to
- CSU
Students will explore the topics of data analytic thinking and its applicability to the business world. The practical application of business intelligence and data analysis will be experienced in a hands-on project. The process of business decision-making will be applied with an emphasis on data mining. Careers and emerging trends in the field will be evaluated.
CIS C260 Systems Analysis and Design
- Units
- 3
- Hours
- 54 lecture hours
- Advisory
- CIS C105.
- Transfers to
- CSU
Students will explore the topics of systems analysis and design and its applicability to the business world. The practical application of systems analysis and design will be experienced in hands-on projects. The process of business decision-making will be applied with an emphasis on the systems development life cycle. Careers and emerging trends in the field will be evaluated.
CIS C270 Predictive Analytics
- Units
- 3
- Hours
- 54 lecture hours
- Advisory
- CIS C250.
- Transfers to
- CSU
In this course students will gain an understanding of the art and science of predictive analytics as it relates to improving business and organizational performance. Students will understand data elements from a business perspective through the exploration of key concepts within the data analytics lifecycle. These concepts include defining the objective, conducting exploratory data analysis, and transforming data formats to produce a dataset suitable for analytical modeling. After successful completion of the course, students will be able to use these skills to produce fully processed datasets that are compatible for building predictive models that can be deployed to increase organizational effectiveness.
CIS C275 Data Mining and Analytics (Data+)
- Units
- 3
- Hours
- 54 lecture hours
- Advisory
- CIS 250 and C280.
- Transfers to
- CSU
This course covers intermediate topics of data analytics and its applicability to the business world. The practical application of business intelligence and data analysis will be experienced through the manipulation of complex datasets, application of visualizing and reporting data, and the analysis of complex datasets while adhering to quality standards. The business decision-making process will be applied with an emphasis on data mining and manipulation. Critical thinking and performance-based exercises aligned with CompTIA Data+ exam help students develop skills to prepare for careers such as Data Analyst, Reporting Analyst, and Operations Analyst.
CIS C280 Data Visualization
- Units
- 3
- Hours
- 54 lecture hours
- Advisory
- CIS C111, CIS C240, and CIS C250.
- Transfers to
- CSU
Students will explore the topics, tools, and techniques of data visualization and their application across different industries. The practical application of data visualization will be experienced through hands-on projects and technical assignments using a variety of data visualization tools and techniques. In addition, careers and emerging trends in the field will also be presented and evaluated.
CIS C285 Data Governance, Privacy, and Policies
- Units
- 3
- Hours
- 54 lecture hours
- Advisory
- CIS C250 or CYBR C101.
- Transfers to
- CSU
In today's data-driven world, organizations face increasing challenges related to data management, privacy, and compliance. This comprehensive course on Data Governance, Privacy, and Policies is designed to equip professionals, data stewards, and decision-makers with the knowledge and skills necessary to effectively manage, protect, and govern data assets within an organization. The practical application of these concepts and methods will be incorporated through hands-on projects to develop computer-based solutions to real-world business problems.
CIS C290 Data Science and Machine Learning
- Units
- 3
- Hours
- 54 lecture hours
- Advisory
- ICS C165 and CIS C157 and CIS C270.
- Transfers to
- CSU
This course introduces students to the core concepts and techniques of data science and machine learning, exploring their application across various industries. Through hands-on projects and technical assignments, students will gain practical experience in developing algorithms and applying data science methods. The course will also cover career opportunities and emerging trends in the field, helping students understand the evolving landscape of data science and machine learning. Enrollment Limitation: ICS C290; students who complete CIS C290 may not enroll in or receive credit for ICS C290.
CIS C011N Introduction to Artificial Intelligence Concepts
- Hours
- 27 lecture hours
This course introduces the foundational concepts of artificial intelligence (AI), including definitions, basic types of AI, and common uses in daily life and the workplace. Students will explore current trends and discuss how AI is shaping society, jobs, and communication.
CIS C012N Working with Artificial Intelligence Tools and Assistants
- Hours
- 27 lecture hours
This course provides hands-on experience using common AI tools and virtual assistants. Students will explore chatbots (e.g., ChatGPT), image generators (e.g., DALL·E), and productivity tools (e.g., AI writing assistants, scheduling apps), gaining practical skills for everyday and workplace use.
CIS C013N Ethical Use of Artificial Intelligence in Daily Life
- Hours
- 27 lecture hours
This course explores the ethical and responsible use of artificial intelligence (AI) in personal, educational, and professional settings. Topics include AI bias, privacy, misinformation, deepfakes, and the importance of human oversight when using AI tools.
CIS C014N Artificial Intelligence Basics for Communication and Creativity
- Hours
- 27 lecture hours
Students will learn how to use AI tools to support communication, brainstorming, and creative expression. This course includes guided practice with AI text, image, and voice generation tools to enhance writing, visual design, and media production.
CIS C015N Artificial Intelligence for Cybersecurity Concepts
- Hours
- 27 lecture hours
This course introduces the role of artificial intelligence in cybersecurity, focusing on how AI is used to detect threats, analyze anomalies, and automate security tasks. Students will explore real-world examples of AI-enhanced tools such as intrusion detection systems, phishing detection, and behavioral monitoring. This course emphasizes an understanding of how AI supports cybersecurity professionals and the ethical considerations involved in automating digital defense.
CIS C016N Bias and Privacy Protection in Artificial Intelligence
- Hours
- 27 lecture hours
This course examines how bias and privacy concerns arise in artificial intelligence systems and explores strategies to mitigate these risks. Students will learn to recognize biased outputs, understand data privacy implications, and evaluate AI tools for fairness and transparency. This course emphasizes responsible use, user consent, and safeguarding personal information when interacting with AI technologies.