MA902-7-SP-CO:
Research Methods
2020/21
Mathematics, Statistics and Actuarial Science (School of)
Colchester Campus
Spring
Postgraduate: Level 7
Current
Sunday 17 January 2021
Friday 26 March 2021
15
16 July 2020
Requisites for this module
(none)
(none)
(none)
(none)
(none)
DIP G10109 Mathematics,
MSC G10112 Mathematics,
MSC G10124 Mathematics,
DIP GN1309 Mathematics and Finance,
MSC GN1312 Mathematics and Finance,
MSC GN1324 Mathematics and Finance,
MSC G30412 Data Science,
MSC G30424 Data Science,
MSC G304PP Data Science with Professional Placement,
DIP G20109 Optimisation and Data Analytics,
MSC G20312 Optimisation and Data Analytics,
DIP G30009 Statistics,
MSC G30012 Statistics,
DIP N32309 Actuarial Science,
MSC N32312 Actuarial Science,
MSC G30512 Applied Data Science,
MSC G30612 Data Science and its Applications,
MPHDG10048 Mathematics,
PHD G10048 Mathematics,
MPHDG20048 Operational Research,
PHD G20048 Operational Research,
MPHDG30048 Statistics,
PHD G30048 Statistics,
MPHDN32348 Actuarial Science,
PHD N32348 Actuarial Science,
MPHDG30448 Data Science,
PHD G30448 Data Science,
MMATG198 Mathematics,
MSCIN399 Actuarial Science and Data Science,
MSCIG199 Mathematics and Data Science
The module provides an introduction to the principal research tools for the students on postgraduate courses in Mathematical Sciences, including practice in the mathematical word-processing language LaTeX.
No information available.
No information available.
Syllabus:
Sources of information Library, WoS, Reading papers, Periodicals, Blackwells, JSTOR, PubMed, Zentralblatt, ResearchIndex, CiteULike, Google, Google Scholar, Wikipedia) Introduction to \LaTeX (Crimson Editor, Brackets, Sections, Spacing, Fonts, Equations, Left and Right brackets, Tables, Matrices, Symbols, Styles) TeXnicCenter Postscript (Commands, importing and viewing .ps files) Essays, dissertations, papers and theses. (References, Presentation, Plagiarism) Unix/Linux and the vi editor
No information available.
This module does not appear to have any essential texts. To see non-essential items, please refer to the module's reading list.
Assessment items, weightings and deadlines
| Coursework / exam |
Description |
Deadline |
Coursework weighting |
| Coursework |
Short Report |
|
5% |
| Coursework |
Project Essay |
|
95% |
Additional coursework information
Information about coursework deadlines can be found in the "Coursework Information" section of the Current Students, Useful Information Maths web pages.
Exam format definitions
- Remote, open book: Your exam will take place remotely via an online learning platform. You may refer to any physical or electronic materials during the exam.
- In-person, open book: Your exam will take place on campus under invigilation. You may refer to any physical materials such as paper study notes or a textbook during the exam. Electronic devices may not be used in the exam.
- In-person, open book (restricted): The exam will take place on campus under invigilation. You may refer only to specific physical materials such as a named textbook during the exam. Permitted materials will be specified by your department. Electronic devices may not be used in the exam.
- In-person, closed book: The exam will take place on campus under invigilation. You may not refer to any physical materials or electronic devices during the exam. There may be times when a paper dictionary,
for example, may be permitted in an otherwise closed book exam. Any exceptions will be specified by your department.
Your department will provide further guidance before your exams.
Overall assessment
Reassessment
Module supervisor and teaching staff
Prof Hongsheng Dai, email: hdaia@essex.ac.uk.
Dr Dmitry Savostyanov, email: d.savostyanov@essex.ac.uk.
Prof Xinan Yang, email: xyangk@essex.ac.uk.
Dr Xinan Yang, Dr Hongsheng Dai & Dr Dmitry Savostyanov
Dr Xinan Yang (xyangk@essex.ac.uk), Dr Hongsheng Dai (hdaia@essex.ac.uk), Dr Dmitry Savostyanov (d.savostyanov@essex.ac.uk)
No
No
No
Prof Fionn Murtagh
University of Huddersfield
Professor of Data Science
Available via Moodle
Of 362 hours, 0 (0%) hours available to students:
362 hours not recorded due to service coverage or fault;
0 hours not recorded due to opt-out by lecturer(s).
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