School of Engineering and Technology, (SET)

The primary objective of this course is to prepare the student for their research at ArT in Geoinformatics and to develop statistical skills. Topics will include critical reading, writing and analyzing scientific literature; and statistical basis for analyzing spatial and non-spatial data. Evaluation and applicability of statistical methods on real datasets are included.

The students on the completion of this course would be able to:
1.     Efficiently read and analyze any scientific document
2.     Learn effective way of writing scientific reports, including journal articles, thesis, research proposals etc.
3.     Learn how to present research in an effective way in front of a crowd and deliver the message commendably
4.     Understand basic statistical definitions, types and applications
5.     Learn effective way of applying statistical tools in analysis

None

I.          Literature
1.     Critical evaluation of scientific papers
2.     Integrating article themes
3.     Reporting the abstract and conclusion
4.     Evaluation of papers

II.         Proposal, Thesis/Dissertation and Tournai article
1.     Asking questions, contributing and critical thinking
2.     Parts of a proposal/thesis/ Dissertation/ Journal article
3.     Effective writing styles
4.     Centering on one track

III.       Research presentations
1.     Components of a research presentation
2.     Ways to make good presentation
3.     Preparing for thesis proposal/ defense
Lecture: 15 Hrs
Other self studies: 15 Hrs
1.     Lectures and class discussion: Students receive the lecture materials and reference materials and taught using power points and extensive discussion and explanation on white board.
2.     Laboratory sessions: Data Analysis is done on real field data from field in the class-exercises and support is provided to students to learn.
3.     Assignments: Assignments are given both on scientific reading and data analysis. Students are encouraged to analyse scientific literature and feedback is provided. Appropriate statistical analysis is encouraged to conduct for particular problem in software and interpret them in written. Support is provided at all aspects.
LO
Assessment Method
% Marks
1,2,3
Research overview report
30
4,5
Assignment on statistics
30
4,5
Final-semester examination
40
 
Grades will be assigned according to the AlT Policies on Grading.
SECTION NAME