Course Schedule and Catalog
Course Schedule - Fall Semester 2017
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.
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.
COMP 140 002 (CRN: 10726)
COMPUTATIONAL THINKING
Long Title: COMPUTATIONAL THINKING
Department: Computer Science
Instructor: Rixner, Scott
Meeting: 2:30PM - 3:45PM TR (21-AUG-2017 - 1-DEC-2017)
Part of Term: Full Term
Grade Mode: Standard Letter
Course Type: Lecture/Laboratory
Language of Instruction: Taught in English
Distribution Group: Distribution Group III
Method of Instruction: Face to Face
Credit Hours: 4
Course Syllabus:
Course Materials: Rice Campus Store
Restrictions:
May not be enrolled in one of the following Level(s):
Graduate
Must have matriculated during one of the following Academic Year(s):
Fall 2016 - Spring 2017
Fall 2017 - Spring 2018
Section Max Enrollment: 1
Section Enrolled: 69 (Reserved + All Others)
Reserved Seats for Fall Semester 2017 Matriculants: 1 (-54 Available)
Enrollment data as of: 18-APR-2024 5:36PM
Final Exam: Scheduled Final Exam-OTR Room
Final Exam Times:
12-DEC-2017
7:00PM - 10:00PM T
12-DEC-2017
7:00PM - 10:00PM T
12-DEC-2017
7:00PM - 10:00PM T
Description: An integrated introduction to computation taught by solving real-world problems in audio, video and text processing, physical robotics, control and simulation of complex systems in nature, and swarm intelligence. Technical topics include how to model computational artifacts operating in the world; how to design and implement algorithmic solutions in Python; and how to experimentally test and evaluate performance of computational systems. Open to Fall 2017 and Fall 2016 matrics.