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  5. Environmental Sciences
  6. EV5006: Core Skills in Environmental Science

EV5006: CORE SKILLS IN ENVIRONMENTAL SCIENCE (2014-2015)

Last modified: 28 Jun 2018 10:27


Course Overview

The course will provide the students with valuable skills required in developing their research and general study skills, essential for their progression during the MSc programme, as well as to the rest of their academic and professional careers. The course introduces basic statistical analysis, teaches data handling skills and exposes students to literature searching and reference styles. During the course, students will get experience in handling real-life, large data sets and will work together with the lecturer and demonstrators in analysing the data and presenting the results.

Course Details

Study Type Postgraduate Level 5
Session First Sub Session Credit Points 15 credits (7.5 ECTS credits)
Campus None. Sustained Study No
Co-ordinators

Sorry, we don't have a record of any course coordinators.

What courses & programmes must have been taken before this course?

None.

What other courses must be taken with this course?

None.

What courses cannot be taken with this course?

None.

Are there a limited number of places available?

No

Course Description

The aim of the course is to enhance research and personal development skills, and to introduce relevant and imperative tools and proficiencies to aid their MSc progress. Learning Outcomes: The skills component of this course will ensure that students are aware of: 1. The requirements of the MSc programme, including timetabling and programme overview, use of Web-CT and university support services and how to use them effectively; 2. University regulations, including plagiarism and use of Turnitin; 3. Computer software packages including PowerPoint, Excel and statistical programmes; 4. Referencing styles and requirements, reference search engines, use of journals for scientific writing; 5. Enhanced scientific writing and presentation skills. And by the end of this course, students will have greater understanding and experience of: 6. Data handling, analysis and interpretation of results; 7. Statistical tests and computer software for conducting analyses.

Contact Teaching Time

Information on contact teaching time is available from the course guide.

Teaching Breakdown

More Information about Week Numbers


Details, including assessments, may be subject to change until 31 August 2023 for 1st half-session courses and 22 December 2023 for 2nd half-session courses.

Summative Assessments

2 written assessments (100%).

Formative Assessment

There are no assessments for this course.

Feedback

None.

Course Learning Outcomes

None.
 

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