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MATH2327 programs

Probability and Statistics

This comprehensive course in Probability and Statistics introduces fundamental concepts and analytical methods with a focus on real-world applications. It is structured to provide students with a deep understanding of statistical reasoning, data analysis, and predictive modeling, emphasizing the application of these concepts across various engineering disciplines. Through a combination of theoretical lectures, hands-on tutorial sessions, and computer-based exercises using Python, students will explore topics including descriptive statistics, probability theories, discrete and continuous distributions, hypothesis testing, regression analysis, and nonparametric methods. The course is designed to foster analytical thinking, problem-solving skills, and proficiency in statistical software, preparing students for data-driven decision-making in their respective fields.

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6
ECTS
180
hours in a term
4
class hours a week
From the Spring 2026 syllabus

What you will learn

  • •Apply probability and statistical principles to analyze and solve engineering problems.
  • •Interpret data from various sources and design experiments to test engineering hypotheses.
  • •Demonstrate proficiency with statistical software for data analysis, visualization, and model development.
  • •Assess the impact of statistical findings on engineering designs and solutions, considering societal and ethical implications.
  • •Adhere to ethical guidelines in data handling, analysis, and reporting.

How it is graded

15%
In-Class Assignments
Week 2-7, 10-15
15%
Quiz
Week 4, 7, 12, 15
30%
Midterm Exam
Week 8
40%
Final Exam
Week 16

Workload

180 hours in a term, about 12 a week
In-Class Time 56 hIndependent Study 55 hAssignments 46 hExaminations 18 hGroup Discussions 5 h

Week by week

Books

Probability and Statistics for Engineers and the Sciences
Jay Devore, Ninth Edition
required
Introduction to Probability and Statistics
William Mendenhall, Robert J. Beaver, Barbara M. Beaver, Fifteenth Edition
required
Python for Data Analysis
Wes McKinney
recommended

Where it fits

NeedsMATH111

Requirements come from syllabi. Check with your advisor.

Rules

Attendance is compulsory. A student missing 25% (32 hours or more) of all instructed hours will be forced to withdraw from the course, per University Academic Regulations.

Tools

Python

Who teaches it

–Jung Lee
Jung Lee
Department of Mathematics · 2 courses

Files

syllabus
Probability and Statistics 2026
Probability and Statistics · Spring 2026
Open
mock
Mock Prob-statistics byTimurid
Probability and Statistics · by Timurid
Open
syllabus
Probability and Statistics
Probability and Statistics · Spring 2025
Open

What Anonymous says

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Anonymous

hi everyone, who is currently teaching probability and statistics course

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Anonymous

can someone please send the syllabus for Probability and Statistics (MATH232)?

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Anonymous

In addition to the list 42873 (June 5) following resit exam grades are out as of June 9: CS210 Computer Programming 2 CS212 Design and Analysis of Algorithms CS311 Computer Networks CS422 Blockchain technologies ECON1001 Introduction to Economics ECON1021 Introduction to Macroeconomics ECON311 Money and Banking HASS110 History of Uzbekistan HASS305 Philosophy IMGT410 Factory Planning and Management MATH202 Advanced Linear Algebra MATH234 Probability and Statistics for Data Science MATH270 Abstra…

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