Last modified: 22 May 2019 17:07
This course will give students opportunities to develop technical and professional skills necessary for success in Honours level Chemistry/Physics and beyond. The course will include working with scientific literature, computer programming and the use of software tools in research and activities to enhance employability. Students will develop an appreciation of the power of state of the art computer programs to assist the user to understand complex data sets. Students will also become more confident in communicating and assessing scientific ideas. By considering their own skills development, students will feel more able to identify and compete for exciting graduate employment opportunities.
| Study Type | Undergraduate | Level | 3 |
|---|---|---|---|
| Term | First Term | Credit Points | 15 credits (7.5 ECTS credits) |
| Campus | Old Aberdeen | Sustained Study | No |
| Co-ordinators |
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This course will give students opportunities to develop technical and professional skills necessary for success in Honours level Chemistry/Physics and beyond. The course will include working with scientific literature, computer programming and the use of software tools in research and activities to enhance employability. Students will develop an appreciation of the power of state of the art computer programs to assist the user to understand complex data sets. Students will also become more confident in communicating and assessing scientific ideas. By considering their own skills development, students will feel more able to identify and compete for exciting graduate employment opportunities.
Lectures, workshops, directed reading and self-study projects will introduce a range of computer software important in modern physical sciences research and afford opportunities to develop technical skills in using these programmes and in computer programming. The classes and other activities will also explain issues relevant to reporting, citing and critical assessment of scientific results. Finally, the course will include topics to enhance employability.
Content will include: hands-on experience with specialised software for data processing and visualisation (two of MatLab, Excel, Mathematica, Discovery Studio Visualiser, electronic structure calculation); problem solving using a high-level programming language (one of Python, Fortran, MatLab ...); scientific literature searching and critical appraisal; writing and presentation skills; employability training, including one-to-one discussion with a Careers Adviser and assessing and presenting personal skills set and graduate attributes.
Information on contact teaching time is available from the course guide.
Data analysis project report (30%), programming project electronic submissions (30%), essay (20%), application (10%), reflective journal (10%).
Draft assessments, CV writing, and Careers Service appointments.
Students will receive feedback (formal and informal) on formative exercises and in literature searching/programming/data analysis practical classes. They will also receive feedback on each of their in-course components of summative assessment.
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