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
See additional student enrollment and course instructor information to guide you in your decision making.

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
Advisory Prerequisites:
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
26Data Science MS
9
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.
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

The partner U-M / Barnes & Noble Education textbook website is the official way for U-M students to view their upcoming textbook or course material needs, whether they choose to buy from Barnes & Noble Education or not. Students also can view a customized list of their specific textbook needs by clicking a "View/Buy Textbooks" link in their course schedule in Wolverine Access.

Click the button below to view and buy textbooks for DATASCI 403.101

View/Buy Textbooks

Syllabi

Syllabi are available to current LSA students. IMPORTANT: These syllabi are provided to give students a general idea about the courses, as offered by LSA departments and programs in prior academic terms. The syllabi do not necessarily reflect the assignments, sequence of course materials, and/or course expectations that the faculty and departments/programs have for these same courses in the current and/or future terms.

No Syllabi are on file for DATASCI 403. Click the button below to search for a different syllabus (UM login required)

Search for Syllabus

CourseProfile (Atlas)

The Atlas system, developed by the Center for Academic Innovation, provides additional information about: course enrollments; academic terms and instructors; student academic profiles (school/college, majors), and previous, concurrent, and subsequent course enrollments.

CourseProfile (Atlas)