DATASCI 403 - Introduction to Discrete Mathematics
Fall 2022, Section 101
 Instruction Mode: Section 101 is  In Person (see other Sections below) Subject: Data Science (DATASCI) Department: LSA Statistics
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#### Details

Credits:
3
Requirements & Distribution:
BS
Credit Exclusions:
No credit granted to those who have completed or are enrolled in MATH 465, 565, or 566.
Waitlist Capacity:
20
Linear Algebra (one of MATH 214, 217, 286, 296, 417, or 419) or instructor permission.
BS:
This course counts toward the 60 credits of math/science required for a Bachelor of Science degree.
Repeatability:
May not be repeated for credit.
Primary Instructor:

#### Description

Concepts and techniques of discrete mathematics required for further mathematical work, including propositional logic, quantifiers, deduction rules, mathematical induction, sets and set operations, functions, relations, partial and total orders, equivalence relations, partitions, elementary combinatorics, permutations, binomial coefficients, inclusion-exclusion, graphs, discrete probability, conditional probability, independence, expectation, variance, and standard deviation.

#### Schedule

DATASCI 403 - Introduction to Discrete Mathematics
Schedule Listing
001 (LEC)
In Person
29706
Open
4
 26 Data Science MS
9
 TuTh 8:30AM - 10:00AM 4096 EH
Note: This course is designed for students in the Data Science Master's Program. Data Science Masters students may add themselves to section 001. All other students should add themselves to the waiting list of section 101.
101 (LEC)
In Person
34880
Closed
0

13
 TuTh 8:30AM - 10:00AM
Note: This course is designed for students in the Data Science Master's Program. Data Science Masters students may add themselves to section 001. All other students should add themselves to the waiting list of section 101.

#### Textbooks/Other Materials

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#### Syllabi

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#### CourseProfile (Atlas)

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