Engineering Mathematics 2 (H1042Z)
Engineering Mathematics 2
Module H1042Z
Module details for 2025/26.
15 credits
FHEQ Level 5
Module Outline
Engineering Mathematics 2 introduces students to probability theory and mathematical statistics with applications in engineering and applied sciences. Topics include fundamental concepts of probability, random variables, probability distributions, and their properties. The statistical component covers estimation, hypothesis testing, and confidence intervals. Emphasis is placed on solving practical problems, analyzing data, and interpreting results. The module equips students with essential tools for data analysis and uncertainty modeling in real-world engineering contexts. By combining theoretical foundations with problem-solving, students gain the skills necessary for advanced mathematical studies and professional applications in engineering.
Module learning outcomes
Apply mathematical and engineering knowledge to solve real-world engineering problems using probability theory and statistical methods
Design experiments, collect data, and analyze results using statistical techniques to derive meaningful conclusions
Identify uncertainties, formulate hypotheses, and solve engineering-related challenges through probabilistic models and statistical reasoning
Effectively communicate statistical analysis results and interpretations to both technical and non-technical audiences in a clear and organized manner
| Type | Timing | Weighting |
|---|---|---|
| Coursework | 20.00% | |
| Coursework components. Weighted as shown below. | ||
| Problem Set | T1 Week 7 | 50.00% |
| Problem Set | PS2 Week 1 | 50.00% |
| Unseen Examination | Semester 1 Assessment Week 2 Mon 05:40 | 80.00% |
Timing
Submission deadlines may vary for different types of assignment/groups of students.
Weighting
Coursework components (if listed) total 100% of the overall coursework weighting value.
Dr Michael Taylor
Assess convenor
/profiles/243881
Ms Juan Chen
Assess convenor
/profiles/656343
Ms Min Xiao
Assess convenor
/profiles/656344
Prof Jing Xu
Assess convenor
/profiles/544290
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