MIS770 - Foundation Skills in Data Analysis
Unit details
| Year: | 2024 unit information |
|---|---|
| Enrolment modes: | Trimester 1: Burwood (Melbourne), Online |
| Credit point(s): | 1 |
| EFTSL value: | 0.125 |
| Unit Chair: | Trimester 1: Lasitha Dharmasena Trimester 2: Ishan Senarathna Trimester 3: Ishan Senarathna |
| Previously: | Analytical Skills Foundations |
| Prerequisite: | Nil |
| Corequisite: | Nil |
| Incompatible with: | MIS770A |
| Typical study commitment: | Students will on average spend 150 hours over the teaching period undertaking the teaching, learning and assessment activities for this unit. This will include educator guided online learning activities within the unit site. |
| Educator-facilitated (scheduled) learning activities - on-campus unit enrolment: | 1 x 2 hour on-campus (livestreamed) lecture (recordings provided) and 1 x 1.5 hour on-campus seminar each week |
| Educator-facilitated (scheduled) learning activities - online unit enrolment: | 1 x 2 hour recorded lecture provided and 1 x 1.5 hour online seminar (recordings provided) each week |
Note:^GIFT City (India) offering is available to students enrolled at the GIFT City (India) campus only. | |
Content
This unit aims to develop foundation skills and knowledge required for data driven, evidence-based approaches to business decision making and business performance analysis. To this end, the unit first introduces the skills necessary to enable an understanding of business metrics. This is followed by descriptive analytical techniques that transform both structured and unstructured data into meaningful information for the purpose of decision making and understanding and reviewing business performance. Techniques and principles of data visualisation are introduced that enable graphical depictions of data that can improve comprehension, communication and decision-making. Then, the unit introduces quantitative reasoning skills, so students are able to review business performance to find problems or areas of opportunities and identify patterns and trends in data using descriptive and inferential statistics.
| ULO | These are the Learning Outcomes (ULO) for this unit. At the completion of this unit, successful students can: | Deakin Graduate Learning Outcomes |
|---|---|---|
| ULO1 | Apply the fundamentals of quantitative reasoning to solve real-world problems. | GLO1: Discipline-specific knowledge and capabilities |
| ULO2 | Manipulate and summarise data that accurately represents real-world problems. | GLO4: Critical thinking |
| ULO3 | Interpret and appraise statistical output to assist in real-world decision making. | GLO4: Critical thinking |
Assessment
T2 2024
| Assessment Description | Student output | Grading and weighting (% total mark for unit) | Indicative due week |
|---|---|---|---|
| Assessment 1: (Individual) Case study (Report) | 2000 words | 20% | Week 5 |
| Assessment 2: (Individual) Case Study: data analysis with written report (Analytical) | 1000 words | 30% | Week 9 |
| End-of-Unit Assessment: Written | 2 hours | 50% | End-of-unit assessment period |
From T3 2024
| Assessment Description | Student output | Grading and weighting (% total mark for unit) | Indicative due week |
|---|---|---|---|
| Assessment 1: (Individual) Case Study: (Report) | 1200 words | 25% | Week 5 |
| Assessment 2: (Individual) Case Study: data analysis with written report (Analytical) | Data Analysis Plus 1000 words | 35% | Week 8 |
| Assessment 3: (Individual) Case Study: data analysis with written report (Analytical) | Data Analysis plus 1200 words | 40% | Week 12 |
The assessment due weeks provided may change. The Unit Chair will clarify the exact assessment requirements, including the due date, at the start of the teaching period.
Learning Resource
The texts and reading list for the unit can be found on the University Library via the link below: MIS770 Note: Select the relevant trimester reading list. Please note that a future teaching period's reading list may not be available until a month prior to the start of that teaching period so you may wish to use the relevant trimester's prior year reading list as a guide only.
Unit Fee Information
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