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Course Information

Probability (MATH 4350)

Term: 2020-2021 Spring

Faculty

Mr. Ernest Johnson, Jr.
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Greetings Texas College Family!

I am grateful for the opportunity to be a Mathematics and Teacher Education Instructor at Texas College. I have been a part of the Texas College family for eight years. I have served as s Student Learning Center Coordinator, a Mathematics Instructor, and an instructor in the Teacher Education Department. I am also the Coordinator for the Education Department.

I am a native of New Orleans, LA and grew up in the New Orleans metropolitan area. I relocated to the Dallas, TX area as a result of Hurricane Katrina. Since working at Texas College, I travel back and forth from the Dallas area to Tyler, TX. The distance one-way is 110 miles. I drive 220 miles a day, which is over 1100 miles a week. Though this drive is tough, the purpose of serving students is important to me.

It is my passion to not only help students become better in mathematics and other subject areas, but to build future leaders that will be productive in society. My goal is to position students to be better while attending Texas College and empower them to embrace and better engage in their learning. The ultimate reward for both students and I, is their realization to successfully complete the individual journey to obtain a college degree.  

My educational background includes: A Bachelor of Science degree in Electronics Engineering Technology from Southern University in Baton Rouge, LA; A Master of Arts degree in Curriculum and Instruction in Secondary Education from Xavier University of Louisiana; A Doctorate of Education Degree (Ed.D.) in Community College Leadership from Morgan State University in Baltimore, MD.

Let's make this semester a great semester!

 

Very Respectfully,

Dr. Ernest Johnson, Jr.

Mathematics/Teacher Education Instructor

Schedule

Tue-Thu, 4:00 PM - 5:20 PM (2/3/2021 - 5/14/2021) Location: MAIN MSBC 115

Description

MATH 4350 ? PROBABILITY (3 hrs.) A presentation of set theory, techniques of counting, introduction to probability; conditional and independent probability, random variables, binomial, normal and Poison distributions, and Markov chains.