Faculty Development Summer Institute 2025 Schedule
Supported by
Daily Schedule Structure
Morning Activities
Each day begins with breakfast and networking from 8:30-9:00 AM (8:00 AM on Tuesday), followed by structured workshops and working sessions focused on different aspects of data science course development.
Morning sessions typically include:
Course Development Workshops
Framework discussions
Individual and group brainstorming
Collaborative learning activities
Midday Break
A consistent lunch period is scheduled from approximately 12:15/12:30 PM to 1:15/1:30 PM each day.
Special lunchtime activities include:
Tuesday: Mastercard
Inclusive Growth Panel
Other days: Networking opportunities
Afternoon Components
Afternoon sessions focus on practical application and peer review, typically running until approximately 5:30 PM.
Afternoon activities include:
Working sessions (individual and group)
Spotlight presentations
Peer reviews and feedback
Focus groups by track
Daily wrap-up and reflection
Institute Focus Areas and Progression
The Faculty Development Summer Institute follows a logical progression from orientation through foundations, technical skills, and implementation, with each day building upon the previous day's work toward complete course development.
Day 1: Welcome & Orientation
Travel day with team huddle and welcome reception, setting the stage for the institute.
Day 2: Foundations
Establishing the groundwork for data science course development with focus on course design standards, objectives, and framework mapping.
Day 3: Data Wrangling
Exploring mathematics/statistics and data curation aspects of the Data Science and Analysis Framework.
Day 4: Coding
Focusing on programming, modeling, communication, and ethics within the data science curriculum.
Day 5: Presentations
Culminating in faculty presentations of completed course designs and implementation planning.
Monday, May 26, 2025 3 Travel
& Welcome
Day
Afternoon
Faculty travel and check-in at the Hotel
5:00 PM 3 6:50 PM
Welcome Reception & Informal Networking (Mastercard's Opening Remarks & Welcome)
DSI Abstract Book, Canvas, and Templates
6:50 PM - 7:00 PM
Closing Remarks
Tuesday, May 27, 2025
3 Module 3: Foundations for Data Science Course Development
Morning Session
8:00 AM 3 9:00 AM: Breakfast & Networking, FDSI Late Registration (For those who need FDSI Faculty Materials) and Attendance
9:00 AM 3 9:15 AM: Opening Charge 3 The Future of Data Science in HBCUs - Recap/Check-in - Pictures
9:15 AM - 9:20 AM: Presurvey
9:20 AM - 9:30 AM: Morning Announcements, Housekeeping
9:30 AM 3 10:00 AM: Course Development Workshop 1 - AUC DSI Data Science and Analysis Framework 3 Course Development Process, Course Proposal, Canvas Repository, and Templates
10:00 AM 3 10:45 AM: Course Development Workshop 2 [CLO/SLO] - Course Design Standards and Elements Development, DSA Framework Course Mapping- and Institutional Course Mapping
10:45 AM - 11:00 AM: Break
11:00 AM 3 12:30 PM: BreakOut - Working Session #1 (Groupwork): [Brainstorming Course]
Objectives: Course Description, CLO/SLO, DAS Framework, Data Science Competencies
Lunch Break
12:30 PM 3 1:30 PM: Lunch
12:45 PM - 1:30 PM: Mastercard Inclusive Growth Panel
Afternoon Session
1:30 PM - 2:00 PM: Course Development Workshop #3 - AUC DSI Collaborative to Developing Introduction to Data Science Course: Data & the African Diaspora
2:00 PM 3 3:45 PM: BreakOut - Working Session #2 (Independent): Course Design Standards and Elements Development Objectives: Topics, Materials, Modules Plan, Datasets, Course Mapping, Course Description, etc.
3:45 PM 3 4:00 PM: Break
4:00 PM 3 5:15 PM: BreakOut - Working Session #3 (Groupwork) 3 Peer Review and Feedback
5:15 PM 3 5:30 PM: Homework (Abstract Book Assignment), Wrap-Up & Reflection
5:30 PM 3 Until: Free Time/Dinner on Your Own
Wednesday, May 28, 2025
3 Module 4: Data Wrangling and Analysis for Data Science
Morning Session
8:30 AM 3 9:00 AM: Breakfast & Networking and Attendance
9:00 AM 3 9:30 AM: Course Development Workshop 4: Mapping to the Data Science and Analysis Framework: Mathematics/Statistics and Data Curation
9:30 AM 3 10:30 AM: BreakOut - Working Session #4 Brainstorming DSA Framework (Individual): Mathematics/Statistics and Data Curation (Data Science Competenciescorresponding HW assignment) - AI In the Course Objectives: Lectures/Lessons, Activities, Assignments, Assessments
10:30 AM 3 10:45 AM: Break
10:45 AM 3 12:15 PM: BreakOut - Working Session #5 (Group) Track-Specific Collaborative Learning Discussions: Mathematics/Statistics and Data Curation Objectives: Lectures/Lessons, Activities, Assignments, Assessments Alignment
Lunch Break
12:15 PM 3 1:15 PM: Lunch
Afternoon Session
1:15 PM 3 2:00 PM: Spotlight: Data Science Research & Innovation
2:00 PM 3 4:00 PM: BreakOut -Working Session #6 (Individual): Course Development in Practice Objectives: Instructor's Notes/Guide, Materials, textbooks, datasets, Resources, References, Datasets, etc
4:00 PM 3 4:30 PM: BreakOut - Peer-Review of Course #1
4:30 PM - 4:40 PM: Wrap-Up & Reflection
4:40 PM - 5:30 PM: BreakOut - Focus Group #1 Technical Track
5:30 PM 3 Until: Free Time/Dinner on Your Own
Thursday, May 29, 2025 3 Module
5: Coding for Data Science
Morning Session
8:30 AM 3 9:00 AM: Breakfast & Networking and Attendance
9:00 AM 3 9:30 AM: Course Development Workshop #5: AUC DSI Data Science and Analysis Framework: Programming, and Modeling
9:30 AM 3 10:30 AM: BreakOut - Working Session #7 Brainstorming (Individual): DSA Framework - Programming, and Modeling Objectives: Lectures/Lessons, Activities, Assignments, Assessments Alignment
10:30 AM 3 10:45 AM: Break
10:45 AM 3 12:15 PM: BreakOut - Working Session #8 (Group) Programing and Modeling Objectives: Lectures/Lessons, Activities, Assignments, Assessments
Lunch Break
12:15 PM 3 1:15 PM: Lunch
Afternoon Session
1:15 PM 3 2:00 PM: Spotlight: Data Science Research & Innovation (GRANTED Presentation)
2:00 PM 3 2:30 PM: Course Development Workshop #6: AUC DSI Data Science and Analysis Framework - Communication and Ethics
2:30 PM 3 4:00 PM: BreakOut - Working Session #9 (Individual): Finalizing Course Objectives: Lectures/Lessons, Activities, Assignments, Assessments Alignment
4:00 PM 3 4:30 PM: BreakOut 3 Speed Peer-Review #2
4:30 PM - 4:40 PM: Wrap-Up & Reflection
4:40 PM - 5:30 PM: Focus Group #2 Social Science Track
5:30 PM 3 Until: Free Time/Dinner on Your Own
Friday, May 30, 2025
3 Module 6: Course Presentations & Implementation Planning
Morning Session
8:30 AM 3 9:00 AM: Breakfast & Networking and Attendance
9:00 AM 3 9:15 AM: Course Development Workshop #7 Institute Course Approval
9:15 AM 3 11:30 AM: BreakOut - Faculty Presentations: Completed Course Designs
(Breakout Groups by Track - Technical and Social Science)
11:30 AM 3 11:40 AM: Break
11:40 AM 3 12:30 PM: Presentations to Whole Group (selected by peers)
Lunch Break
12:30 PM 3 1:30 PM: Lunch
Afternoon Session
1:30 PM 3 2:00 PM: Next Steps & Final Reflections
2:00 PM: Departure