Last modified: 02 Oct 2025 16:46
Making calculations is at the heart of every science. In this course we will learn the programming language MATLAB and write programs to implement mathematical concepts that frequently appear in science and engineering. Through programming we will gain better understanding of some mathematical ideas prevalent in all sciences and how related calculations are done and the reason they work. MATLAB is particularly popular among engineers but it is very similar in its principles to other scientific programming languages, such as R, commonly used by statisticians, biologists and other scientists.
| Study Type | Undergraduate | Level | 1 |
|---|---|---|---|
| Term | Second Term | Credit Points | 15 credits (7.5 ECTS credits) |
| Campus | Aberdeen | Sustained Study | No |
| Co-ordinators |
|
||
In this course, students will:
1. Learn the basics of the programming language MATLAB.
2. Understand mathematical concepts by programming them. For example, limits, derivatives, integrals.
3. Discuss concepts from statistics such as linear regression and hypothesis tests and write simple computer programs to implement them.
4. Know how MATLAB can help us solve systems of linear equation, differential equations and more.
Syllabus
In this course you will learn to use the computer language MATLAB, which is a useful tool in engineering and sciences. The course will cover the basics of programming in MATLAB, and will also cover mathematical ideas and recipes, and will teach you how to implement them in MATLAB.
Information on contact teaching time is available from the course guide.
| Assessment Type | Summative | Weighting | 50 | |
|---|---|---|---|---|
| Assessment Weeks | Feedback Weeks | |||
| Feedback | ||||
| Knowledge Level | Thinking Skill | Outcome |
|---|---|---|
|
|
||
| Assessment Type | Summative | Weighting | 25 | |
|---|---|---|---|---|
| Assessment Weeks | Feedback Weeks | |||
| Feedback | ||||
| Knowledge Level | Thinking Skill | Outcome |
|---|---|---|
|
|
||
| Assessment Type | Summative | Weighting | 25 | |
|---|---|---|---|---|
| Assessment Weeks | Feedback Weeks | |||
| Feedback | ||||
| Knowledge Level | Thinking Skill | Outcome |
|---|---|---|
|
|
||
There are no assessments for this course.
| Assessment Type | Summative | Weighting | 100 | |
|---|---|---|---|---|
| Assessment Weeks | Feedback Weeks | |||
| Feedback | ||||
| Knowledge Level | Thinking Skill | Outcome |
|---|---|---|
|
|
||
| Knowledge Level | Thinking Skill | Outcome |
|---|---|---|
| Procedural | Apply | Use Matlab as a calculator. |
| Conceptual | Apply | Basic Matlab programming syntax and concepts (assignment to varibles, if statements, for loops, sctipt files, function files etc.) |
| Procedural | Create | Develop and implement in Matlab algorithms to solve simple mathematical problems. |
| Procedural | Apply | Solve systems of linear equations using Matlab. |
| Procedural | Apply | Solve systems of ordinary differential equations of degree 1 using Matlab's ode solvers. |
| Procedural | Apply | Solve equations using Matlab. |
| Procedural | Understand | Understand the concept of curve fitting to data via implementation in Matlab. |
| Procedural | Apply | Implementation of Fourier analysis in Matlab. |
We have detected that you are have compatibility mode enabled or are using an old version of Internet Explorer. You either need to switch off compatibility mode for this site or upgrade your browser.