General Management 1
Subject BUSA90482 (2014)
Note: This is an archived Handbook entry from 2014.
Credit Points: | 37.50 | ||||||||||||
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Level: | 9 (Graduate/Postgraduate) | ||||||||||||
Dates & Locations: | This subject has the following teaching availabilities in 2014: September, Parkville - Taught on campus.
Timetable can be viewed here. For information about these dates, click here. | ||||||||||||
Time Commitment: | Contact Hours: 128 hours Total Time Commitment: Not available | ||||||||||||
Prerequisites: | None | ||||||||||||
Corequisites: | None | ||||||||||||
Recommended Background Knowledge: | None | ||||||||||||
Non Allowed Subjects: | None | ||||||||||||
Core Participation Requirements: |
For the purposes of considering request for Reasonable Adjustments under the Disability Standards for Education (Cwth 2005), and Student Support and Engagement Policy, academic requirements for this subject are articulated in the Subject Overview, Learning Outcomes, Assessment and Generic Skills sections of this entry. It is University policy to take all reasonable steps to minimise the impact of disability upon academic study, and reasonable adjustments will be made to enhance a student's participation in the University's programs. Students who feel their disability may impact on meeting the requirements of this subject are encouraged to discuss this matter with a Faculty Student Adviser and Student Equity and Disability Support: http://services.unimelb.edu.au/disability |
Subject Overview: |
Data Analysis: Contemporary business is awash in data. Modern businesses’ business processes and activities usually involve multiple streams of data from areas as diverse as marketing activities, operational processes and financial activities. Therefore, managers are frequently confronted with how to harness these to understand their business better, so that they can make more informed decisions. Data analysis is the process of converting such raw data into meaningful information to inform business decision-making. This subject provides an introduction to the fundamental data analysis skills and techniques that are used in contemporary business and management. These skills are essential both for later MBA subjects, and also for solving managerial problems in your later career. The course is computer based and students are required to perform all manipulations and computations themselves. Financial Reporting and Analysis: Accounting is the “language of business,” and accounting information is the basis for performance measurement, business contracting, and most operating, investing, and financing decisions that managers make. Financial accounting information affects how individuals outside a company perceive that company, and by extension, the resources available to the company to accomplish its objectives. Accordingly, an understanding of and the ability to use financial accounting information will be essential to your success as a professional manager (as well as your success in other MBA subjects). This subject is designed to provide students with foundation knowledge about external financial reporting by for-profit entities. This foundation knowledge not only provides the basis for correctly interpreting and using accounting information provided internally to managers for managerial decision making, but also provides the basis for using financial statements for more externally-focused judgments and decisions (e.g., assessing a firm’s intrinsic value or to assess a firm’s strengths and weaknesses relative to competitors). Decision Making: Making good decisions is hard, but fundamental to developing management and leadership skills. Decisions are inherently difficult because the world is complex and outcomes are uncertain. In addition, humans suffer from strong cognitive biases and numerous studies have shown that individuals do a poor job of estimating probabilities. We are more emotionally sensitive to threat than we need to be, and we often fail to develop realistic perceptions of others and of ourselves. The complexity of the world, our limited ability to handle uncertainty in a consistent manner and cognitive biases can lead to poor decisions.
However evidence suggests that people can be taught to assess probabilities accurately and make better decisions by modelling the decision process in a structured way. Furthermore being aware of the latest research on cognitive biases enables individuals to recognize these biases in themselves and others and correct them.
The purpose of this course is to equip the student with the skills and knowledge to analyse decisions in a structured manner and to come to a preferred decision that makes use of the best assessment of the uncertainties in the outcomes, the payoffs of the outcomes and the potential biases and pitfalls of the decision maker and his/her team. People Management: This subject aims to provide students with analytical skills and tools to identify, diagnose and solve people- related challenges in organisations. The subject focuses on examining different theoretical perspectives and concepts underlying individual, group and organisational behaviour and teaching students how to apply these concepts in a practical manner to improve performance. Topics covered will include:
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Learning Outcomes: |
Data Analysis: Students should:
Financial Reporting and Analysis: On completion of this subject, students should be able to:
Perform basic analysis of a company’s profitability and provide a reasoned basis for the conclusions drawn from the analysis. Decision Making: On completion of this subject, students should:
People Management: In completing the subject, students should:
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Assessment: |
Data Analysis:
Financial Reporting and Analysis:
Decision Making:
People Management:
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Prescribed Texts: | None |
Breadth Options: | This subject is not available as a breadth subject. |
Fees Information: | Subject EFTSL, Level, Discipline & Census Date |
Related Course(s): |
Master of Business Administration |
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