DATAC8
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DATA C8 - Foundations of Data Science
Subject
DATA
Course Number
C8
Department
Course Level
Undergraduate
Formerly Known As
Computer Science C8/Statistics C8/Information C8
Course Title
Foundations of Data Science
Course Description
Foundations of data science from three perspectives: inferential thinking, computational thinking, and real-world relevance. Given data arising from some real-world phenomenon, how does one analyze that data so as to understand that phenomenon? The course teaches critical concepts and skills in computer programming and statistical inference, in conjunction with hands-on analysis of real-world datasets, including economic data, document collections, geographical data, and social networks. It delves into social and legal issues surrounding data analysis, including issues of privacy and data ownership.
Minimum
4
Maximum
4
Grading Basis
Default Letter Grade; P/NP Option
Method of Assessment
Written Exam
Instructors
Staff
Prerequisites
This course may be taken on its own, but students are encouraged to take it concurrently with a data science connector course (numbered 88 in a range of departments).
Repeat Rules
Course is not repeatable for credit.
Credit Restriction Courses. Students will receive no credit for this course if following the course(s) have already been completed.
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Credit Restrictions.
Students will receive no credit for DATA C8\COMPSCI C8\INFO C8\STAT C8 after completing COMPSCI 8, or DATA 8.
Cross-Listed Course(s)
Formats
Laboratory, Lecture
Term
Fall and Spring
Duration (in weeks)
15
Minimum Hours
3
Maximum Hours
3
Lecture Mode of Instruction
In Person, Online
Minimum Hours
2
Maximum Hours
2
Laboratory Mode of Instruction
In Person, Online
Minimum Hours
7
Maximum Hours
7
Term
Summer
Duration (in weeks)
8
Minimum Hours
6
Maximum Hours
6
Lecture Mode of Instruction
In Person, Online
Minimum Hours
4
Maximum Hours
4
Laboratory Mode of Instruction
In Person, Online
Minimum Hours
14
Maximum Hours
14