|
|
|
Apr 30, 2024
|
|
2022-2023 Undergraduate Catalog [Archived]
Courses
|
|
| |
| |
|
| |
|
| |
|
| |
-
MATH 102 - Quantitative Literacy
3 Credits
Link
(This course is part of the “Transfer Indiana” [TransferIN] initiative. For additional information, link to www.transferin.net/ctl.)
Description
A foundational course in quantitative reasoning. Topics include understanding and applying ratios, descriptive statistics and data analysis, financial applications, and probability applications, with an emphasis on making, presenting, and interpreting quantitative arguments in context.
Prerequisites
B or better in high school Algebra II (Parts I & II), or appropriate math placement score (12 or higher), or MATH 025 with a C or better, or MATH 035 with a C or better, or MATH 115, or MATH 116, or MATH 131.
Click here for the Summer 2024 Class Schedule
Click here for the Fall 2024 Class Schedule
Click here for the Spring 2025 Class Schedule
Click here for the Summer 2025 Class Schedule
|
| |
-
MATH 105 - Quantitative Reasoning in Business
3 Credits
Description
A foundational course in quantitative reasoning with applications to business. Topics include understanding and applying ratios, descriptive statistics and data analysis, exponential and logarithmic functions in financial applications, and rates of change and optimization with an emphasis on making, presenting, and interpreting quantitative arguments in context.
Prerequisites
B or better in high school Algebra II (Parts I & II), or appropriate math placement score (12 or higher), or MATH 035 with a C or better, or MATH 115, or MATH 116, or MATH 131.
Foundational Studies Credit
Quantitative Literacy
Click here for the Summer 2024 Class Schedule
Click here for the Fall 2024 Class Schedule
Click here for the Spring 2025 Class Schedule
Click here for the Summer 2025 Class Schedule
|
| |
|
| |
|
| |
|
| |
|
| |
-
MATH 123 - Analytic Geometry and Trigonometry
3 Credits
Description
Two and three dimensional analytic geometry using rectangular, polar, cylindrical, and spherical coordinates. The study of lines, planes, conic sections, and vectors and applications. Topics in trigonometry include right angle trigonometry, general triangles, and applications.
Prerequisites
MATH 115 with a C or better, or MATH 116 with a C or better, or appropriate mathematics placement score.
Click here for the Summer 2024 Class Schedule
Click here for the Fall 2024 Class Schedule
Click here for the Spring 2025 Class Schedule
Click here for the Summer 2025 Class Schedule
|
| |
|
| |
|
| |
|
| |
|
| |
|
| |
|
| |
|
| |
-
MATH 241 - Principles of Statistics
3 Credits
Description
Graphical and numerical representation of data, probability, sampling, statistical inference, correlation, and regression.
Prerequisites
B or better in high school Algebra II (Parts I & II), or appropriate math placement score (12 or higher), or MATH 035 with a C or better, or MATH 115, or MATH 116, or MATH 131.
Foundational Studies Credit
(FS 2010: Quantitative Literacy or Mathematics)
Click here for the Summer 2024 Class Schedule
Click here for the Fall 2024 Class Schedule
Click here for the Spring 2025 Class Schedule
Click here for the Summer 2025 Class Schedule
|
| |
-
MATH 252 - Programming in Mathematics
3 Credits
Description
Fundamentals of programming for mathematics students. Topics in the first part of the course include variables, expressions, assignment, input, output, repetition, decisions, and functions. Topics in the second part of the course will come from mathematics, statistics, computer science, and/or physics.
Prerequisites
MATH 132 with a C or better
Click here for the Summer 2024 Class Schedule
Click here for the Fall 2024 Class Schedule
Click here for the Spring 2025 Class Schedule
Click here for the Summer 2025 Class Schedule
|
| |
|
| |
|
| |
|
| |
|
| |
|
| |
|
| |
|
| |
|
| |
|
| |
|
| |
|
| |
|
| |
|
| |
|
| |
-
MATH 403 - Linear Algebra and Modeling for Data Science
3 Credits
Description
Foundations of using matrices, differential equations and other models in modeling. The course takes the theoretical models and focuses on computational solutions and modeling in a modern programming language and modeling environment. Topics include matrices and determinants, systems of linear equations, vector spaces, linear transformations, eigenvalues and eigenvectors, singular value decompositions, orthogonal matrices, mathematical modeling using differential equations, optimization and applications. Focus is on how the models and tools are applied in data science and analytics.
Prerequisites
MATH 252, MATH 313, MATH 320, MATH 341, and CS 201
Repeatable
No
Foundational Studies Credit
No
Click here for the Summer 2024 Class Schedule
Click here for the Fall 2024 Class Schedule
Click here for the Spring 2025 Class Schedule
Click here for the Summer 2025 Class Schedule
|
| |
|
| |
|
| |
|
| |
|
| |
|
| |
|
| |
|
| |
|
| |
|
| |
|
| |
|
| |
|
| |
|
| |
|
| |
|
| |
|
| |
|
| |
|
|
|
|
|
Print this Page