Lectures

Week 3: DS3 Framework

Week 3 framework briefing. A guided tour of Data Science Studio Scrum (DS3): why it exists, how the studio and dual-role membership work, the six artifacts, the five-column Iterative Development board, the weekly Studio Session, the Brief / Critique loop and SLAs, and the operational tooling (GitHub repo, Projects board, Discord). Closes with a pre-flight for tonight’s Studio Charter activity so we can transition straight from this deck into chartering.

May 25, 2026

Lucas P. Cordova, Ph.D.

Week 2: Data Science Research Methods

DATA 510: Data Science Capstone

First in a recurring series on data science research methods and technical writing. Overview of how capstone-grade research is framed, the PRIDE problem-to-question workflow, criteria for strong research questions, and an in-class paper critique activity in eight groups.

May 18, 2026

Lucas P. Cordova, Ph.D.

Week 2: Project Forming

DATA 510: Data Science Capstone

Second block, week 2: capstone requirements and milestone placement, a second pass on project brainstorming and PRIDE-sharpened research questions with peer review, introduction to the Data-Driven Scrum operating model for solo and team work, and a Canvas snapshot of project domain, stakeholders, questions, and teaming intent.

May 18, 2026

Lucas P. Cordova, Ph.D.

Lecture 1-1: Course Overview

DATA 510: Data Science Capstone

Orienting lecture for DATA 510: catalog goals, grading components and weights, milestone and weekly deliverable schedule, Data-Driven Scrum methodology, meta-project clusters, late policy, attendance and integrity expectations, and workload norms aligned with the published syllabus.

May 11, 2026

Lucas P. Cordova, Ph.D.

Lecture 1-2: Research vs EDA

DATA 510: Data Science Capstone

Contrasts exploratory data analysis with formal research questions for capstone work: when to wander the data, when to commit to a testable claim, common research-question types, and how the two modes reinforce each other without p-hacking.

May 11, 2026

Lucas P. Cordova, Ph.D.

Lecture 1-3: Project topic and domain brainstorming

DATA 510: Data Science Capstone

In-class networking and writing activity: students anchor their own interests and definition of impact, hold structured conversations with several classmates, then reflect on feedback and possible teammates. Delivers a single submission document aligned with early capstone teaming and topic exploration.

May 11, 2026

Lucas P. Cordova, Ph.D.