Introduction to Probability and Statistics


Introduction to Probability and Statistics

MET CS 546 (4 credits)

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.

2022FALLMETCS546 A1, Sep 12th to Dec 12th 2022

Days Start End Type Bldg Room
M 06:00 PM 08:45 PM CAS 222

2022FALLMETCS546 A2, Sep 6th to Dec 6th 2022

Days Start End Type Bldg Room
T 06:00 PM 08:45 PM HAR 326

2022FALLMETCS546 E1, Sep 6th to Dec 6th 2022

Days Start End Type Bldg Room
T 06:00 PM 08:45 PM HAR 326

2022FALLMETCS546 O1, Sep 6th to Oct 24th 2022

Days Start End Type Bldg Room
ARR TBD TBD ROOM

2022FALLMETCS546 O2, Nov 1st to Dec 19th 2022

Days Start End Type Bldg Room
ARR TBD TBD ROOM

2023SPRGMETCS546 A1, Jan 23rd to May 1st 2023

Days Start End Type Bldg Room
M 06:00 PM 08:45 PM WED 140

2023SPRGMETCS546 A2, Jan 24th to May 2nd 2023

Days Start End Type Bldg Room
T 06:00 PM 08:45 PM KCB 102

2023SPRGMETCS546 O1, Jan 17th to Mar 6th 2023

Days Start End Type Bldg Room
ARR TBD TBD ROOM

2023SPRGMETCS546 O2, Mar 14th to May 1st 2023

Days Start End Type Bldg Room
ARR TBD TBD ROOM

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.