| Module Title |
Mathematical & Statistical Methods |
| Module Code |
BAA1080 (ITS: MS001) |
|
Faculty |
Electronic Engineering |
School |
Engineering & Computing |
|
NFQ level |
8 |
Credit Rating |
15 |
|
|
Description
The purpose of this module is to equip students with a solid foundation in mathematics and statistics. The module is delivered through a combination of face to face and online tutorials and online learning resources.
|
Learning Outcomes
1. Analyse and explain a set of data using numerical measures
2. Solve statistical problems using Excel spreadsheets
3. Apply the principles of sampling to solve problems
4. Solve problems by applying principles of probability and probability distributions
5. Choose suitable tests to formulate and apply hypotheses for statistical analysis
6. Communicate in writing the solution of numeric problems
7. Calculate relationships between variables to solve problems
8. Demonstrate an ability to understand basic concepts and solve problems.
9. Integrate and differentiate functions
|
| Workload | Full time hours per semester | | Type | Hours | Description |
|---|
| Tutorial | 25 | Online tutorials are held on Saturdays and weekday evenings according to the timetable | | Online activity | 30 | Interaction with tutor and fellow students | | Assignment Completion | 73 | Work independently on assessments over the course of the academic year | | Assessment Feedback | 10 | Processing and application of individual and general feedback received on each assignment submitted. | | Independent Study | 235 | Reading course notes and recommended readings. Searching and studying web resources. Library work. | | Directed learning | 2 | Examination |
| Total Workload: 375 |
|
|
| Section Breakdown | | CRN | 11908 | Part of Term | Semester 1 & 2 | | Coursework | 0% | Examination Weight | 0% | | Grade Scale | 40PASS | Pass Both Elements | Y | | Resit Category | RC1 | Best Mark | N | | Module Co-ordinator | Richard Bolger | Module Teacher | Lorraine Delaney, Mary Sharp, Shirley Anne O'Brien |
| | Section Breakdown | | CRN | 12033 | Part of Term | Semester 1 & 2 | | Coursework | 0% | Examination Weight | 0% | | Grade Scale | 40PASS | Pass Both Elements | Y | | Resit Category | RC1 | Best Mark | N | | Module Co-ordinator | Richard Bolger | Module Teacher | |
|
| Assessment Breakdown |
| Type | Description | % of total | Assessment Date |
|---|
| Assignment | Written assignment | 7% | n/a | | Assignment | Written assignment | 9% | n/a | | Assignment | Written assignment | 9% | n/a | | Formal Examination | End-of-Semester Final Examination | 75% | End-of-Semester |
| Reassessment Requirement Type |
Resit arrangements are explained by the following categories;
RC1: A resit is available for both* components of the module.
RC2: No resit is available for a 100% coursework module.
RC3: No resit is available for the coursework component where there is a coursework and summative examination element.
* ‘Both’ is used in the context of the module having a coursework/summative examination split; where the module is 100% coursework, there will also be a resit of the assessment
|
|
Pre-requisite |
None
|
|
Co-requisite |
None |
| Compatibles |
None |
| Incompatibles |
None |
|
|
All module information is indicative and subject to change. For further information,students are advised to refer to the University's Marks and Standards and Programme Specific Regulations at: http://www.dcu.ie/registry/examinations/index.shtml
|
Indicative Content and Learning Activities
Statistical Methods
Introductory algebra and Excel/
The organisation and presentation of data/
Measuring central tendency and dispersion/
Probability/
Probability distributions/
Elementary sampling theory & methods/
Statistical estimation/
Hypothesis testing/
Applications of the chi-square distribution/
Correlation and linear regression.
Mathematical Methods
Functions/
Linear algebra/
Trigonometry/
Differential calculus
|
Indicative Reading List
Books:
- Dexter J. Booth: 1998, Foundation Mathematics (Modern Applications of Mathematics), 3rd, Pearson, England,
- John H. Kranzler: 2010, Statistics for the Terrified, 5th, Pearson,
- Robert B. Mc.Call: 1994, Fundamental Statistics for the Behavioural Sciences, 6th, Wadsworth Publishing Co Inc.,
- Frederick J. Gravetter and Larry B. Wallnau: 2012, Statistics for the Behavioural Sciences (International edition), 9th, Wadsworth Publishing Co Inc.,
- Pagano: 2006, Understanding Statistics in the Behavioural Sciences, 7th, ACADEMIC INTERNET PUBL,
- 0: NB: Any general statistics book will be useful in this course,
Articles:
None |
Other Resources
- 1: Website, Maths Centre website,
- 414902: 1, Website, Stats tutor website,
- http://www.statstutor.ac.uk/: 414903, 1, Website, Maths tutor website
- http://www.mathtutor.ac.uk/: 414904, 1, Website, Khan Academy website
- https://www.khanacademy.org/:
|
|
|
|
|
