The second of two courses in the IDM Capstone sequence, proceeded by IDM 410. In this capstone course, students work closely with faculty to implement, test and refine the project they devised in the earlier semester. This course is writing-intensive, requiring students to extensively document their research, their process and their results. It is required that each student will have a working product prototype. (Capstone – Prerequisite: IDM 410)

Immaculata 101 is designed to provide the learner with information and exercises to raise self-awareness and build the student’s capacity to be resilient, informed, proficient, and resourceful in their academic and personal journey. The course will help prepare the learner for a successful academic experience and topics include: resiliency as an adult student, time management, academic tips and tools for success, navigating Moodle, policies and procedures, financing your degree, and the benefits and ROI (Return on Investment) of your degree.

This course introduces students to the fundamentals of academic research and scholarly writing. Emphasis is placed on developing a clear, well-structured thesis statement and conducting a comprehensive literature review to support research objectives. Students will learn strategies for evaluating sources, synthesizing information, and presenting ideas with clarity and precision. The course provides in-depth instruction on the application of American Psychological Association (APA) style for formatting, citation, and ethical writing practices. By the end of the course, students will be equipped with essential skills for producing professional, research based academic work. (Completion of ENG 107 or ENG 242 recommended before taking this course.)

This course provides a comprehensive introduction to the principles of descriptive and inferential statistics. Topics include measures of central tendency and dispersion, data presentation and summarization techniques, hypothesis testing, significance testing, confidence intervals, correlation, regression, Chi-Square and analysis of variance. Instruction emphasizes the application of statistical methods by data analysis tools in Google Sheets and Microsoft Excel. Students will engage in the evaluation of research studies and develop proficiency in applying statistical techniques to support data-driven decision making.

This culminating course empowers students to synthesize and integrate knowledge and skills acquired throughout the program. Students will leverage concepts, theories, and practices from prior coursework to design and execute a comprehensive final project that showcases mastery of program outcomes. The course demands critical thinking, evidence of scholarly research, and effective presentation techniques.

Surveys the history, uses, and potential applications of big data and artificial intelligence (AI). Students learn how data is used to gain insight into the past, present, and future. Research and documented applications exemplify how data and AI is being used in business, sports, education, healthcare, and other industries. (Open to all students)

Explores the skills required to effectively and efficiently use technology to increase productivity in terms of electronic communication and the management of information systems. Case studies are used to show the use of technology in various industries.

A first course in creating and using charts, graphs, data maps, infographics in order to present data in a format that explains and interprets data.

Introduces the fundamental technology and tools used for designing and managing web-based content. Hands-on projects provide the development of the skill proficiency required for designing and managing web-based content. (Open to all students)