Module manager: Gary Dickinson
Email: g.dickinson@leeds.ac.uk
Taught: Semester 2 (Jan to Jun) View Timetable
Year running 2024/25
| LLLC0197 | Introduction to Mathematics |
LLLC0188 LLLC0189 LLLC0190
This module is not approved as a discovery module
The module will introduce students to the essential statistical concepts required for success on their degree. Throughout this module you will be given lots of opportunities to develop your own problem-solving skills and learn how to apply the statistical theories introduced to simple real-life situations. This module will also look to introduce concepts and techniques that are crucial for future research.
During this module students will be introduced to core concepts and techniques in statistics. They will gain experience and confidence using these techniques and learn how this area of mathematics is applied in science. Examples and datasets will be used from real life scenarios so inference can be made.
On successful completion of this module, students will be able to:
1. Explore and manipulate a variety of basic mathematical objects in the area of statistics
2. Perform calculations and solve problems in abstract mathematical and real-world scenarios
3. Present mathematical ideas from the area of statistics using precise mathematical language in various forms
4. Use mathematical data to substantiate or infer outcomes within a practical and scientific context.
Communication of mathematical information, analysis, problem solving, reflection, and digital literacy in basic equation editor technology
The content will be delivered through lectures and workshops and will cover areas such as…
- measures of location, spread; representing data,
- Correlation and regression,
- Statistical distributions such as Binomial and Normal,
- Hypothesis testing.
| Delivery type | Number | Length hours | Student hours |
|---|---|---|---|
| Lectures | 10 | 2 | 20 |
| seminars | 10 | 1 | 10 |
| Independent online learning hours | 10 | ||
| Private study hours | 60 | ||
| Total Contact hours | 30 | ||
| Total hours (100hr per 10 credits) | 100 | ||
Formative feedback will be given in seminars, via in-class quizzes, via completion of online quizzes and via submission of independent work such as written problem sets.
| Assessment type | Notes | % of formal assessment |
|---|---|---|
| Online Assessment | 3 hours | 30 |
| Total percentage (Assessment Coursework) | 30 | |
Coursework will be released and submitted as a single assessment, however students will be encouraged to tackle problems as the relevant material is covered, on a week-by-week basis.
| Exam type | Exam duration | % of formal assessment |
|---|---|---|
| Unseen exam | 2.0 Hrs 0 Mins | 70 |
| Total percentage (Assessment Exams) | 70 | |
Resits for the exam component of the module will be assessed by the same methodology as the first attempt during the July Resit period, in most cases, or during the next available opportunity.
The reading list is available from the Library website
Last updated: 4/29/2024
Errors, omissions, failed links etc should be notified to the Catalogue Team