CSE 140

Artificial Intelligence

5credits
About this course

Introduction to the contemporary concepts and techniques of artificial intelligence, including any or all of: machine perception and inference, machine learning, optimization problems, computational methods and models of search, game playing and theorem proving. Emphasis may be on any formal method of perceiving, learning, reasoning, and problem solving which proves to be effective. This includes both symbolic and neural network approaches to artificial intelligence. Issues discussed include symbolic versus nonsymbolic methods, local versus global methods, hierarchical organization and control, and brain modeling versus engineering approaches. Lisp or Prolog may be introduced. Involves one major project or regular programming assignments.

All available terms

16 terms

Avg. GPA
3.63
Grades
1,715

Other grades

P1.7%NP1.3%W3.1%
More course details

University of California, Santa Cruz

CSE 140 at UCSC: average GPA 3.63 across 1,715 students. Grade distribution by term. Introduction to the contemporary concepts and techniques of artificial…

Average GPA: 3.63

Grade distribution records: 1,715 students across 16 terms.

Enrollment requirements

Prerequisite(s): CSE 101 or CSE 101P; and CSE 40 or STAT 132.

2026–2027 · UCSC catalog

Grade distribution

GradeStudentsPercent
A+1679.7%
A80446.9%
A-23413.6%
B+1367.9%
B1005.8%
B-663.8%
C+352.0%
C291.7%
C-50.3%
D+90.5%
D70.4%
D-10.1%
F150.9%
P291.7%
NP221.3%
W543.1%

Based on 1,715 student grade records across 16 terms and 5 professors.

Instructors

Reviews

Relatively easy class. If you attend every class you will easily get at least an A-. Biweekly tests. At the end of the year, you have to make a Pacman agent that beats the staff agents.

ShyRabbit35 · Posted

Study Tips

for the biweekly tests, focus on the worksheets and she usually goes over what'll be on the test on the lecture before the test.

ShyRabbit35 · Quiz · Updated

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