CSCI0401Z-S22
Computational Complexity
Computational Complexity Lab
Computational Complexity
We will investigate the computational power of various resources. Examples include determining whether a computer with limited time or limited space can solve more difficult problems, attempting to characterize creativity as a resource, and comparing probabilistic and quantum computation. We will learn why we do not yet have answers to many of the most fundamental questions in computational complexity (like whether P=NP), and we will think critically about the value of studying these topics. Students enrolled in the College Writing (CW) section of the course will explore these ideas through writing, in particular, in three contexts that are critical for theoretical computer science: the proof (expert audience), the review paper (non-expert computer science audience), and the popular science article (educated public audience). (CSCI 0301).3 hrs. sem./1 hr. disc.
We will investigate the computational power of various resources. Examples include determining whether a computer with limited time or limited space can solve more difficult problems, attempting to characterize creativity as a resource, and comparing probabilistic and quantum computation. We will learn why we do not yet have answers to many of the most fundamental questions in computational complexity (like whether P=NP), and we will think critically about the value of studying these topics. Students enrolled in the College Writing (CW) section of the course will explore these ideas through writing, in particular, in three contexts that are critical for theoretical computer science: the proof (expert audience), the review paper (non-expert computer science audience), and the popular science article (educated public audience). (CSCI 0301).3 hrs. sem./1 hr. disc.
- Term:
- Spring 2022
- Location:
- 75 Shannon Street 206(75SHS 206)
- Schedule:
- 11:15am-12:05pm on Friday (Feb 14, 2022 to May 16, 2022)
- Type:
- Lab
- Course Modality:
- In-Person
- Instructors:
- Shelby Kimmel
- Subject:
- Computer Science
- Department:
- Computer Science
- Division:
- Natural Sciences
- Requirements Fulfilled:
- Levels:
- Undergraduate
- Availability:
- View availability, prerequisites, and other requirements.
- Course Reference Number (CRN):
- 22795
- Subject Code:
- CSCI
- Course Number:
- 0401
- Section Identifier:
- Z