Introduction in data science

COURSE CODE: BDI311 COURSE NAME: Introduction to Data Science Task brief & rubrics

Task

Hospital of Bellvitge, is one of the great public hospitals in Barcelona. They have a huge volume of historic data about patients, and they want to extract value from this data. One of projects that they believe will generate value is creating a model to detect behavior patterns and evolution of certain diseases. With this information in advance, professional healthcare teams can establish the measures to be adopted to reduce the impact of the diseases, in terms of affected people, duration of treatment, and severity of the disease.

You are part of the team assigned to the project. And one of the initial tasks of the project is the identification of the data to be collected, to generate the model later. Therefore, you have to propose a model of recollection of the data available until now, identifying clearly

• which typology of data is, • which value brings to the project in terms of helping to develop the later model, • if the data you propose can be obtained directly or indirectly, • and how you will collect the data (direct) or calculate it (indirectly)

Details of the task

• Individual • The expected table of contents should include the analysis of the situation, the proposal of the initial implementation, and the proposal for the

extension of additional business areas • The deliverable is a document, with all the figures you consider necessary, in pdf format

Formalities:

• Wordcount: between 2.500 and 3.000 words • Cover, Table of Contents, References and Appendix are excluded of the total wordcount. • Font: Arial 12,5 pts. • Text alignment: Justified. • The in-text References and the Bibliography have to be in Harvard’s citation style.

Submission: Week 6 – Via Moodle (Turnitin) – Deadline: Sunday 7/11/2021 23:59 CEST

Weight: This task is a 30% of your total grade for this subject.

It assesses the following learning outcomes:

• Outcome 1: master the understanding of data-analytic thinking and solutions whitin the context of business problems. • Outcome 2: evaluate data analytically and apply it in business decision-making.

Rubrics

Exceptional 90-100 Good 80-89 Fair 70-79 Marginal fail 60-69 Knowledge &

Understanding (20%)

Student demonstrates excellent understanding of key concepts and uses vocabulary in an entirely appropriate manner.

Student demonstrates good understanding of the task and mentions some relevant concepts and demonstrates use of the relevant vocabulary.

Student understands the task and provides minimum theory and/or some use of vocabulary.

Student understands the task and attempts to answer the question but does not mention key concepts or uses minimum amount of relevant vocabulary.

Application (30%) Student applies fully relevant knowledge from the topics delivered in class.

Student applies mostly relevant knowledge from the topics delivered in class.

Student applies some relevant knowledge from the topics delivered in class. Misunderstanding may be evident.

Student applies little relevant knowledge from the topics delivered in class. Misunderstands are evident.

Critical Thinking (30%)

Student critically assesses in excellent ways, drawing outstanding conclusions from relevant authors.

Student critically assesses in good ways, drawing conclusions from relevant authors and references.

Student provides some insights but stays on the surface of the topic. References may not be relevant.

Student makes little or none critical thinking insights, does not quote appropriate authors, and does not provide valid sources.

Communication (20%)

Student communicates their ideas extremely clearly and concisely, respecting word count, grammar and spellcheck

Student communicates their ideas clearly and concisely, respecting word count, grammar and spellcheck

Student communicates their ideas with some clarity and concision. It may be slightly over or under the wordcount limit. Some misspelling errors may be evident.

Student communicates their ideas in a somewhat unclear and unconcise way. Does not reach or does exceed wordcount excessively and misspelling errors are evident.