Course Schedule - Spring Semester 2022

     

Meeting location information can now be found on student schedules in ESTHER (for students) or on the Course Roster in ESTHER (for faculty and instructors).
Additional information available here.

RCEL 506 001 (CRN: 25497)

STATS & DATA FOR ENGINEERS

Long Title: APPLIED STATISTICS AND DATA SCIENCE FOR ENGINEERING LEADERS
Department: Center Engineering Leadership
Instructors:
Avalos Gauna, Edgar
Karwowski, Kazimir
Meeting: 6:15PM - 9:15PM W (10-JAN-2022 - 22-APR-2022) 
Part of Term: Full Term
Grade Mode: Standard Letter
Course Type: Lecture
Language of Instruction: Taught in English
Method of Instruction: Face to Face
Credit Hours: 3
Course Syllabus:
Course Materials: Rice Campus Store
 
Restrictions:
Must be enrolled in one of the following Level(s):
Graduate
Section Max Enrollment: 30
Section Enrolled: 7
Enrollment data as of: 19-MAY-2024 10:46AM
 
Additional Fees: None
 
Final Exam: No Final Exam
 
Description: Modern engineering leaders face myriad projects and problems that involve the generation, collection, analysis, visualization and interpretation of data, much of which is now known as big data (upwards of millions of observations) and/or high-dimensional (upwards of millions of variables). In turn, engineering leaders must be able to leverage the abundance of data to generate new knowledge and be proficient in data-driven decision making. This course will provide a foundation in statistics and data science with a view toward preparing engineering leaders to engage and direct teams in data based solutions to engineering problems.