School/College: Certificate: Certificate Level: Stand-Alone Certificate Assessment Plan Date plan was approved by department: Please note: Assessment plans must be reviewed/updated and reapproved every five (5) years. Name of Person Submitting Plan: A. Program Information: Assessment Coordinator’s Name: Assessment Coordinator’s Email Address: B. Program Mission Statement In the box below, provide the mission statement for the program. The mission statement, educational objectives, and goals for program should guide the assessment process. The mission statement should align with department, college, and institutional mission statements. C. Student Learning Outcomes On the pages that follow, list the Student Learning Outcomes associated with the stand-alone certificate identified in this assessment form. C1) Student Learning Outcome #1: : Student demonstrate clear understanding of following data preparation, data visualization and predictive modeling techniques: Data preparation and visualization; handling missing values, handling transformation/recoding/binning of variables to improve variable distribution and/or variable’s predictive power, creating data visualizations to better understand relationships between inputs and targets; predictive modeling techniques; data splitting/balancing/oversampling, decision trees, artificial neural networks (MLP), model assessment metrics, model comparison metrics and scoring new data. Identify opportunities for students to learn this outcome during the 2016-2017 academic year:
School/College: Certificate: Certificate Level: Stand-Alone Certificate Assessment Plan Date plan was approved by department: Please note: Assessment plans must be reviewed/updated and reapproved every five (5) years. Name of Person Submitting Plan: A. Program Information: Assessment Coordinator’s Name: Assessment Coordinator’s Email Address: B. Program Mission Statement In the box below, provide the mission statement for the program. The mission statement, educational objectives, and goals for program should guide the assessment process. The mission statement should align with department, college, and institutional mission statements. C. Student Learning Outcomes On the pages that follow, list the Student Learning Outcomes associated with the stand-alone certificate identified in this assessment form. C1) Student Learning Outcome #1: : Student demonstrate clear understanding of following data preparation, data visualization and predictive modeling techniques: Data preparation and visualization; handling missing values, handling transformation/recoding/binning of variables to improve variable distribution and/or variable’s predictive power, creating data visualizations to better understand relationships between inputs and targets; predictive modeling techniques; data splitting/balancing/oversampling, decision trees, artificial neural networks (MLP), model assessment metrics, model comparison metrics and scoring new data. Identify opportunities for students to learn this outcome during the 2016-2017 academic year:
SAMPLE-Standalone-Certificate-Assessment-Plan.docx