Course Title: Data for a Scientific World

Part A: Course Overview

Course Title: Data for a Scientific World

Credit Points: 12.00


Course Coordinator: .

Course Coordinator Phone: +61 3 9925

Course Coordinator Email: @rmit.edu.au


Pre-requisite Courses and Assumed Knowledge and Capabilities

None


Course Description

This course introduces students to fundamental concepts in scientific data analysis and associated key transferable skills in science. These include critical thinking, problem solving, analytical reasoning, communication (including written skills), teamwork and being aware of your responsibilities as emerging scientists. 

The course will consider the wider significance and importance of statistical learning in understanding a scientific problem by learning relationships and structures from data. Students will be introduced to the application of various analytical methods, digital and information literacy concepts, communications tools and foundational statistics within the context of major global societal, industrial, and technological challenges. 

The course will enable students to bring understanding of the unique role of a scientist in pursuing knowledge of the natural, physical and social worlds based on learning from data and developing associated transferable skills to enhance their future careers. 


Objectives/Learning Outcomes/Capability Development

Program Learning Outcomes. 

This course contributes to the following Program Learning Outcomes (PLOs) in multiple disciplines: BP192, BP161, BH096, BP199, BP293, BP289, BH116, BH117, BP247, BH101, BP229, BP193, BP226, BP305. 

The course contributes to the following PLOs: 

PLO-1    Understanding science 

PLO-1.1 You will demonstrate an understanding of the scientific method and an ability to apply the scientific method in practice. 

PLO-1.2 You will demonstrate an understanding of the role and relevance of science in society. 

PLO-1.3 You will demonstrate an understanding of the role and importance of evidence in the continuous evolution of scientific knowledge. 

PLO-2    Scientific knowledge 

PLO-2.2 You will have knowledge in at least one discipline other than your primary discipline and some understanding of interdisciplinary linkages. 

PLO-3    Inquiry and Problem Solving 

PLO-3.2 You will be able to gather, critically review and synthesise information relevant to a scientific inquiry or research project. 

PLO-3.4 You will demonstrate well-developed problem-solving skills, applying your knowledge and using your ability to think analytically and creatively. 

PLO-4    Communication 

PLO-4.1 You will be able to communicate the solution to a problem or the results of a scientific investigation using effective oral, written and presentation skills. 

PLO-4.2 You will be able to communicate the solution to a problem or the results of a scientific investigation using appropriate methods for different audiences. 

PLO-5    Personal and professional responsibility 

PLO-5.1 You will develop a capacity for independent and self-directed work. 

PLO-5.2 You will work responsibly, safely, legally and ethically.   

PLO-5.3 You will develop an ability to work collaboratively.


Course Learning Outcomes (CLOs).    

Upon successful completion of this course, you should be able to:     

CLO1. Evaluate credible information and collect and harvest quantitative and qualitative data having different measurement scales, quality and provenance from the widespread availability of existing data sources.  

CLO2. Identify the elements of statistical learning through demonstrating mastery of a body of knowledge that includes queries and reasoning, measurements, transformations, uncertainty, optimization, hypothesis testing, and logical analytics.     

CLO3. Use interpretation and communication as a vehicle in the service of advancing science and to combat misinformation; applying concepts of bias and variance, overfitting and methods for model selection as tools to assess the quality of a “theory” or explanation.  

CLO4. Work responsibly, safely, legally, ethically and with integrity in an individual and/or team context.  

CLO5. Be aware of personal biases and demonstrate an approach to scientific enquiry predicated on open mindedness and the setting aside of personal biases.  

CLO6. Develop and deliver a team-based scientific studio showcase oriented towards a global societal, industrial, or technological challenge, communicating scientific results, information, or arguments effectively using a range of modes (oral, written, visual).  


Overview of Learning Activities

You will undertake an integrated series of immersive learning experiences and activities to develop fundamental conceptual and practical understanding and experience in data and information sciences. A blended learning will approach will be used involving face-to-face experiential learning activities complemented by online learning and team-based activities. 


Overview of Learning Resources

Blended learning resources will be provided via the Canvas learning management systems and associated tools, in conjunction with practice-based in-class experiential learning activities. 


Overview of Assessment

Assessment 1: Fundamental Concepts Assessment 

Weighting 40% 

This assessment task supports CLOs 1, 2, 3, 4 & 5   

  

Assessment Task 2: Learning from Data Assessment 

Weighting 30% 

This assessment task supports CLOs 1, 3, 4 & 5 


Assessment Task 3: Studio Showcase Assessment 

Weighting 30% 

This assessment task supports CLOs  1, 3, 4, 5 & 6