Course

Unit 1

Unit 1: Online Library Tutorial. 12 hours

Unit 2

Unit 2: Critical reflection of introductory article, including all relevant references in academic style (Chicago Manual of Style for example) format. 12 hours

Unit 3

Unit 3: Outline of arguments for essay, including all relevant references in in academic style format. 12 hours

Unit 4

Unit 4: Final Essay. 12 hours

Unit 5

Unit 5: Final Presentation. 12 hours

Text Books / References

• Gopen, G. D., & Swan, J. A. (1990). The science of scientific writing. American scientist, 78(6), 550-558.

• Katz, M. J. (2009). From research to manuscript: A guide to scientific writing. Springer Science & Business Media.

• Peat, J., Elliott, E., Baur, L., & Keena, V. (2013). Scientific writing: easy when you know how. John Wiley & Sons.

• Guilford, W. H. (2001). Teaching peer review and the process of scientific writing. Advances in physiology education, 25(3), 167-175.

Prerequisite: NA

This course focuses on two elements. In the Writing component, the course covers the various stages of composition of an academic piece, including close reading of sources, summary, citation and reference, identifying rhetorical aspects in a text or flaws in reasoning, developing an argument, finding and using textual evidence, organising ideas effectively, compiling and referencing bibliographic material, avoiding plagiarism, and finally, strategies for revision. In the Communication component, the course focuses on covers the many facets of delivering effective presentations, such as organization and structure, modes of delivery, effective linking, choice of terminology, and interaction with an audience.

Course Objectives:

1. To apply and compare knowledge and understanding of at least two themes within Social Data Science.
2. To write a nuanced and critical thesis statement or problem question, and to be able to answer this question in the body of the essay, using logical structure and clear argumentation.
3. To learn careful reading techniques, develop the skill to analyse and summarize the main argument of a text in a critical and nuanced manner.
4. To conduct library research, gather and assess academic sources, and acknowledge academic work by others by referencing sources in accordance with recognised academic citation protocol.
5. To deliver a structured and coherent presentation about an academic research topic and engage and interact with their audience effectively.
6. To learn to give meaningful peer-feedback and offer constructive criticism

Course Outcomes:

CO1: Students will be able to apply and compare knowledge and understanding of at least two themes within Social Data Science.

CO2: Students will be able to write a nuanced and critical thesis statement or problem question, and can answer this question in the body of their essay, using a logical structure and clear argumentation.

CO3: Students will learn careful reading techniques, learn to analyse and summarize the main argument of a text in a critical and nuanced manner, and gain an understanding the current literature on social data science.

CO4: Students will get an understanding of the research area in social science that can leverage data sciences.

CO5: Students will have an understanding of the process pipeline from data collation to modelling and forecasting through the careful reading of literature on social data science.

Skills:

• Structured Writing: students will learn assess writings about social problems from a data science perspective and write themselves about these topics.

• Scientific Communication: students will enhance their ability for verbal communication about social data science issues

Program outcome PO – Course Outcomes CO Mapping

Program Specific Outcomes PSO – Course Objectives – Mapping

*CA – Can be Quizzes, Assignment, Projects, and Reports, and Seminar