Full Title:Mathematics 3
Language of Instruction:English
Module Code:MATH I7006
 
Credits: 5
Valid From:Semester 1 - 2014/15 ( September 2014 )
Module Delivered in 1 programme(s)
Module Description:This module introduces the student to Numerical and Statistical methods
Learning Outcomes:
On successful completion of this module the learner should be able to
  1. Carry out Matrix Arithmetic
  2. Create formulas describing empirical data
  3. Calculate approximate solutions to non-linear equations
  4. Summarize statistical data
  5. Calculate and interpret probabilities
  6. Apply statistical tests
 

Module Content & Assessment

Indicative Content
Descriptive Statistics
Frequency Distributions, Measures of Central tendency, Measures of Dispersion, Correlation and Regression
Probability
Laws of probability, Discrete Distributions(Binomial , Poisson), Continuous Distributions(Uniform, Negative Exponential, Normal)
Statistical Inference
Sampling , Central limit theorem , Student t- Distribution, Confidence Intervals, Hypothesis Tests
Linear Algebra
Matrix Arithmetic, Geometrical Transformations, Linear Simultaneous Equations
Non-Linear Equations
Bisection method, Newton method, Fixed Point method
Approximation and Interpolation
Lagrange Polynomial, Least Squares Equations, Linear interpolation , Non-linear Interpolation, Forecasting
Assessment Breakdown%
Course Work20.00%
End of Module Formal Examination80.00%

Full Time

Course Work
Assessment Type Assessment Description Outcome addressed % of total Marks Out Of Pass Marks Assessment Date Duration
Continuous Assessment Ten Weekly Homework Exercises 1,2,3,4,5,6 10.00 0 0 n/a 0
Continuous Assessment Two Class Tests 1,2,3,4,5,6 10.00 0 0 n/a 60
No Project
No Practical
End of Module Formal Examination
Assessment Type Assessment Description Outcome addressed % of total Marks Out Of Pass Marks Assessment Date Duration
Formal Exam End-of-Semester Final Examination 1,2,3,4,5,6 80.00 0 0 End-of-Semester 0
Reassessment Requirement
A repeat examination
Reassessment of this module will consist of a repeat examination. It is possible that there will also be a requirement to be reassessed in a coursework element.

DKIT reserves the right to alter the nature and timings of assessment

 

Module Workload & Resources

Workload: Full Time
Workload Type Workload Description Hours Frequency Average Weekly Learner Workload
Lecture Class Room 3.00 Every Week 3.00
Tutorial Class Room 1.00 Every Week 1.00
Directed Reading No Description 2.00 Every Week 2.00
Independent Study No Description 2.00 Every Week 2.00
Total Weekly Learner Workload 8.00
Total Weekly Contact Hours 4.00
This course has no Part Time workload.
Resources
Recommended Book Resources
  • K. Stroud, Engineering Mathematics, Palgrave MacMillan
  • K. Stroud, Further Engineering Mathematics, Palgrave MacMillan
This module does not have any article/paper resources
Other Resources

Module Delivered in

Programme Code Programme Semester Delivery
DK_ECIVL_7 Bachelor of Engineering in Civil Engineering 6 Mandatory