View All Pages

MAPSS Syllabus

UCI Compass MAPSS

The UC Irvine Compass MAPSS (Metrics & Analytics Promoting Student Success) Certificate Program is a top-tier data analytics training program for campus faculty and staff. It includes online and in-person courses in data literacy/analytics/tools, with examples from academia and UCI.

 

📞Contact Information

Instructor: Astrud Reed, MA

Email: astrud.reed@uci.edu

Phone: 949-824-5674

Office: Science Library (Contact for details)

 

🌐 Online Course Information

Course Location & Evaluation Elements: This course is entirely self-paced and hosted on the UCI Udemy Business platform. All course materials, including lectures, videos, websites, articles, assignments, resources, quizzes, and discussion boards, can be accessed online through the UCI Udemy and Canvas DataGPS sites.

Module Schedule: Course materials for each module will be accessible to students from the start of the course. Students can choose to complete each module at their own pace - there are no strict completion deadlines. However, students are encouraged to follow a regular schedule to ensure consistent progress and course completion.

Certification Requirements: While MAPSS completion is voluntary, certification for each track and the program, as a whole, requires track and course completion with a grade of 70% or higher. Upon successful completion, students will receive UCI ADC (Alternate Digital Credentials) badge certifications. (See bottom of syllabus for additional details.)

 

📘 Course Description and Purpose

As an investment into the data driven student success initiative, UCI sees immense value in providing a top-tier data analytics certificate program to campus staff, faculty, and leadership. The MAPSS (UCI Compass Metrics & Analytics Promoting Student Success) Certificate Program will provide applicable, informative learning paths, organized by campus roles, utilizing the Udemy Business Learning platform. The courses will impart vital insights and skills that will aid members of each role in exponentially expanding the ability to perform in their current duties, while also providing enhancements for professional development / career path growth - at no cost to learners. Each MAPSS path will include courses in Data Literacy, Efficacy, Ethics, Data Analytics & Business Intelligence, Career Path Data Specialty, and provide examples of how data is being used in academia, and specifically at UCI. 

The MAPSS (UCI Metrics & Analytics Promoting Student Success) Certificate Program provides a comprehensive learning path tailored to campus staff, faculty, and leadership roles at UCI. The program offers three main tracks and one supplemental track.

  • Track 1: Foundations of Data Literacy - Courses in Data Literacy, Efficacy, & Ethics
  • Track 2: Creating Citizen Data Scientists - Courses in Intermediate Data Analytics & Business Intelligence
  • Track 3: Analytics Tools for Business Operations - Courses in Increasing Expertise in Various Campus Roles & BI Applications

  • RADAR: Recommended Additional Data Analytics Resources - Curated Guide to Supplementary Resources to Enhance Learning Experience

 

🎯 Course Objectives

Upon completing this course, students will be able to:

  1. Develop a strong foundation in data literacy, including an understanding of key concepts, types of data, and their relevance in various contexts.
  2. Understand the fundamental principles of data-driven decision making.
  3. Learn how to present data effectively with a clear goal in mind, and with solid data support.
  4. Gain proficiency in using a range of data-oriented tools and technologies, including spreadsheet software, data analysis platforms, and business intelligence tools.
  5. Recognize the ethical considerations and responsibilities associated with data access, collection, storage, and usage, as well as AI and Machine Learning.
  6. Collaborate effectively within a data-driven team or environment, emphasizing teamwork, innovation, communication, and leadership skills.
  7. Cultivate a growth mindset and a continuous learning attitude to adapt to evolving data landscapes.
  8. Explore various learning resources and communities to continue building data literacy beyond this program.

 

🌟Major Topics

Track 1: Foundations of Data Literacy
Module 1: Introduction to Data Culture

This module introduces the concept of data culture and its significance. Students will explore the Data Culture Initiative at UCI and understand the importance of data-driven decision-making.

Module 2: Data Literacy, Ethics, and Efficacy

In this module, students delve into the fundamentals of data literacy, ethics, and the efficacy of data-driven decision-making. They will explore the key principles and benefits of data literacy, distinguish between data types, and learn about statistical analysis and data visualization.

Module 3: Tools to Develop a Lifelong Learning Mindset

This module focuses on equipping students with the mindset and tools needed for continuous learning in the data-driven world. Topics include growth mindset, effective study techniques, and understanding the UCI data ecosystem.

Module 4: Data Ecosystem Key Components

Students will gain an understanding of the essential components of the data ecosystem, including data pipelines, data warehousing, and cloud computing. They will explore tools and resources for data management and analysis.

Module 5: Building Skills for Data-Driven Decision Making

This module focuses on developing practical skills for data-driven decision-making. Students will learn problem-solving techniques, explore decision-making styles, and understand the role of emotional intelligence. Collaboration and strategic thinking are also emphasized.

 

Track 2:  Creating Citizen Data Scientists

Module 1: From Foundations to Frontiers: How You Can Become a Citizen Data Scientist!

Transition seamlessly from foundational knowledge to advanced proficiency and discover how you can join the ranks of UCI’s citizen data scientists, leveraging your unique background and data skills.

Module 2: Unlocking Data Powerhouses: From Databases to the Cloud

Master the essential tools of data management and cloud technology, as you unlock the potential of databases, programming languages, and cloud computing to handle and analyze data effectively.

Module 3: Decoding Data: Core Statistics and Analytics for Turning Data into Insight

Develop a strong base in statistics and analytics. Learn how to query and decode data sets and transform them into actionable insights that drive organizational success.

Module 4: AI Unleashed: Harnessing Artificial Intelligence for Business Success

Explore the fascinating world of Artificial Intelligence and Machine Learning. Learn how to harness these powerful technologies to innovate and solve real-world business challenges, using UCI and industry examples.

Module 5: Visualize to Capitalize: Data Visualization & Business Intelligence

Transform data into compelling visuals. Master the art of data visualization using tools like Excel, Power BI, and Tableau, and learn how to communicate data-driven insights effectively.

Module 6: Future-Focused Leadership: Culture, Innovation, and Strategy

Equip yourself with leadership skills for the future. Focus on fostering a culture of innovation, strategic thinking, and mindful leadership to navigate the complexities of the modern business world.

 

Track 3: Analytics Tools for Business Operations

This track is designed for role-specific learning and is aimed at campus leaders, administrators, faculty, and staff. It emphasizes the use of Business Intelligence (BI) applications and advanced data analytics tools for operational and strategic decision-making.

 

⏩Course Sequencing 

  • Track 1: This is the first course in a series of three courses of the MAPSS Certificate Program.
  • Track 2: This track is designed for those looking to advance their skills beyond Track 1, culminating in the development of citizen data scientists at UCI.
  • Track 3: Focuses on enhancing role-specific skills, particularly for those involved in campus operations, instruction, business, and leadership roles.

 

📝Course and Certificate Requirements

Certificate Requirements

While MAPSS completion is voluntary, certification for each track and the program, as a whole, requires track and course completion with a grade of 70% or higher. Upon successful completion, students will receive UCI ADC (Alternate Digital Credentials) badge certifications Links to an external site..

 

MAPSS Track Requirements and Grading

The track grade(s) will be determined based on the following components:

  1. Udemy Course, Quiz, and Survey Completions (25%)
    • Students must complete all assigned Udemy courses, associated quizzes, and pre/post surveys.
  2. Discussion Forum Participation (25%)
    • Each track section will have 1-3 discussion assignments.
    • For each discussion, students must submit one original entry and two replies to other students' posts.
    • Full credit (100%) for each discussion requires completion of both the entry and replies.
  3. Final Exam (50%)
    • The final exam consists of 25 questions.
    • Question formats include multiple choice, true/false, computational, and numeric response.
    • The exam will cover material from all track sections.
    • A study guide will be provided.

 

MAPSS Program Requirements and Grading

The program grade will be determined based on the following components:

  1. Completion of Tracks 1 and 2, and at least one of the Track 3 components (0%)
    • A score of 70% or better must be achieved on each.
  2. Completion of MAPSS Program Track
  1. Udemy Course, Quiz, and Survey Completions (25%)
    • Students must complete all assigned Udemy courses, associated quizzes, and pre/post surveys.
  1. Discussion Forum Participation (25%)
    • Program track will have 3 discussion assignments.
    • For each discussion, students must submit one original entry and two replies to other posts or comments.
    • Full credit (100%) for each discussion requires completion of both the entry and replies.
  2. Final Exam (50%)
    • The final exam consists of 25 questions.
    • Question formats include multiple choice, true/false, computational, and numeric response.
    • The exam will cover material from all tracks and sections.
    • A study guide will be provided.

 

Grading Scale

  • A: 90-100%
  • B: 80-89%
  • C: 70-79%
  • D: 60-69%
  • F: Below 60%
  • Note: A minimum grade of 70% (C) is required for certification.

 

Final Exam Question Types

  • Multiple Choice: These questions assess understanding of key concepts. Students select the most appropriate answer from provided options.
  • True/False: Students evaluate the accuracy of statements related to course content and requirements.
  • Computational: These questions focus on data-driven decision-making. Students solve problems, analyze data, and apply mathematical and logical reasoning skills.
  • Numeric Response: Students provide specific numerical answers related to course content, statistics, or data analysis.

 

Academic Integrity

  • Students are expected to adhere to UCI's academic integrity policies. Any form of cheating or plagiarism will result in disciplinary action, which may include course failure or program dismissal.

 

Accommodations for Students with Disabilities

  • Students requiring accommodation should contact the UCI Disability Services Center within the first two weeks of the course to ensure appropriate arrangements can be made.

 

Technical Requirements

  1. Udemy Account: Students must have access to an active Udemy account, as the entire course is hosted on the Udemy platform.
  2. Web Browser: A modern web browser (e.g. Google Chrome, Mozilla Firefox, Safari, or Microsoft Edge) is required to access the course materials, view videos, and participate in quizzes and discussions.
  3. Optional Data Tools: While not mandatory, students interested in deeper data analysis may benefit from access to software tools like Microsoft Power BI, Tableau, or Microsoft Excel. These tools can be helpful for creating data visualizations and working with real-world data.