Undergraduate Course: Mathematics for Arts, Humanities and Social Sciences (AACE07009)
Course Outline
| School | Centre for Open Learning |
College | College of Arts, Humanities and Social Sciences |
| Credit level (Normal year taken) | SCQF Level 7 (Year 1 Undergraduate) |
Availability | Not available to visiting students |
| SCQF Credits | 10 |
ECTS Credits | 5 |
| Summary | This course is available only to students on the CAHSS Part-Time Access Programme
This course will equip students with the mathematical skills required to confidently embark on further undergraduate study in subject areas in CAHSS that specifically require a mathematical pre-requisite. |
| Course description |
This course will give students a sound mathematical and statistical basis to pursue relevant degree programmes in the College of Arts, Humanities and Social Sciences. In particular, it will provide students with the tools to model real-world phenomena through the use of calculus and statistical analysis.
The course covers:
Calculus
- How functions are represented in graphical form
- The graphical display of polynomials, logarithms, simultaneous equations and integrals.
- Mathematical reasoning
- Solving equations using basic algebra
- Differential calculus
- Integral calculus
Statistics
- Collecting, sampling and representing data
- Analysing data
- Probability theory
- Discrete distributions
- The binomial distribution
- Continuous distributions
- The normal distribution
- Introduction to hypotheses and statistical testing
- Correlation and regression
The course will be taught through computer-based learning activities and a series of workshops in which students will be introduced to mathematical and statistical concepts and methods. The workshops will focus on problem solving and deepening understanding of the material whereas online resources provide the learning material and opportunities to consolidate learning and practice relevant skills. Students will be assessed through regular online assessments and two projects.
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Entry Requirements (not applicable to Visiting Students)
| Pre-requisites |
|
Co-requisites | |
| Prohibited Combinations | |
Other requirements | None |
Course Delivery Information
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| Academic year 2023/24, Not available to visiting students (SS1)
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Quota: 20 |
| Course Start |
Semester 2 |
Timetable |
Timetable |
| Learning and Teaching activities (Further Info) |
Total Hours:
100
(
Lecture Hours 37.5,
Programme Level Learning and Teaching Hours 2,
Directed Learning and Independent Learning Hours
60 )
|
| Assessment (Further Info) |
Written Exam
0 %,
Coursework
100 %,
Practical Exam
0 %
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| Additional Information (Assessment) |
There are three components of summative assessment:
Five online quizzes starting in week 3, then every two weeks, worth 50% of the final course mark.
Two projects, each 25% of the final course mark. Project 1 will use mathematical modelling techniques the Project 2 will involve data-analysis.
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| Feedback |
Automated feedback will be given on the summative online quizzes Written feedback will be given on projects. Students will also be encouraged to complete formative quizzes in weeks 1 and 2 on which feedback will be provided. In addition, students will receive formative feedback on class-based activities throughout the course. |
| No Exam Information |
Learning Outcomes
On completion of this course, the student will be able to:
- Model empirical phenomena using the analytical tools provided by calculus and statistical analysis.
- Analyse empirical phenomena using the analytical tools provided by calculus and statistical analysis.
- Select appropriate mathematical tools strategically and effectively.
- Reason using quantitative data.
- Employ abilities of abstraction and generalisation.
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Reading List
There is no core textbook for this course; materials and additional references will be provided.
Web Sources:
https://geogebra.org/graphing/ and https://www.wolframalpha.com/ |
Additional Information
| Graduate Attributes and Skills |
- curiosity for learning that makes a positive difference.
- courage to expand and fulfil their potential in understanding of mathematics.
- passion to engage locally and globally using data from both contexts.
- creative problem solvers and researchers.
- critical and reflective thinkers. |
| Keywords | Not entered |
Contacts
| Course organiser | Dr Angus Miller
Tel:
Email: Angus.Miller@ed.ac.uk |
Course secretary | Mr John Ethcuit
Tel: (0131 6)50 3409
Email: jethcuit@exseed.ed.ac.uk |
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