Introduction to Probability and Statistics


Introduction to Probability and Statistics

MET CS 546 (4 credits)

Undergraduate Prerequisites: Academic background that includes the material covered in a standard c ourse on college algebra. - The goal of this course is to provide students with the mathematical fundamentals required for successful quantitative analysis of problems. The first part of the course introduces the mathematical prerequisites for understanding probability and statistics. Topics include combinatorial mathematics, functions, and the fundamentals of differentiation and integration. The second part of the course concentrates on the study of elementary probability theory, discrete and continuous distributions. Prereq: Academic background that includes the material covered in a standard course on college algebra or instructor's consent. For undergraduate students: This course may not be taken in conjunction with MET MA 213, only one of these courses will count toward degree program requirements. Students who have taken MET MA 113 as well as MET MA 123 will also not be allowed to count MET CS 546 towards degree requirements.

2024FALLMETCS546A1, Sep 3rd to Dec 10th 2024

Days Start End Type Bldg Room
M 06:00 PM 08:45 PM MUG 205

2024FALLMETCS546A2, Sep 3rd to Dec 10th 2024

Days Start End Type Bldg Room
T 06:00 PM 08:45 PM CAS 426

2024FALLMETCS546E1, Sep 3rd to Dec 10th 2024

Days Start End Type Bldg Room
T 06:00 PM 08:45 PM CAS 426

2024FALLMETCS546O1, Sep 3rd to Oct 21st 2024

Days Start End Type Bldg Room
ARR 12:00 AM 12:00 AM

2024FALLMETCS546O2, Oct 29th to Dec 16th 2024

Days Start End Type Bldg Room
ARR 12:00 AM 12:00 AM

Format & Syllabus:

 

Awd-15-Plat-96Metropolitan College received the USDLA Platinum Best Practices Award for Distance Learning Programming for the course Quantitative Methods for Information Systems, developed by Dr. Anatoly Temkin and Dr. Daniel Hillman.