Diploma in Policing and Security Mgmt - BITDA Introduction
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The document outlines a course in Business IT & Data Analytics, aiming to equip students with skills to leverage emerging technologies for data-driven decision-making and enhance productivity through data visualization. Assessment includes continuous projects, lab assignments, and online participation, with specific criteria for grading engagement and quality of insights offered in discussions. Important dates for project submissions and the potential conversion of online classes to face-to-face learning are also provided.
Diploma in Policing and Security Mgmt - BITDA Introduction
- 1. Business IT & Data Analytics Lesson 01 Introduction
- 2. BITDA: Subject Aims & What You Will Learn Business IT & Data Analytics The subject aims to equip students with knowledge and skills to: • Explain how emerging technologies can be used to optimise data-driven decision-making in businesses. • Apply office automation applications to improve productivity and enhance effectiveness of decision-making. • Create engaging and meaningful data visualisations to facilitate informed decisions based on presented data. This subject provides an overview of how businesses can harness business technology to improve productivity, data analytics to make informed decisions and adapt to dynamic market conditions. Topics covered include emerging business technologies such as Artificial Intelligence (AI), office automation and data visualisation tools to facilitate decision making and problem-solving for businesses.
- 3. Subject Assessment Assessment Weightage Continuous Assessment ➢ Projects 70% ▪ Spreadsheet Project 35% ▪ Data Analytics Project 35% ➢ Laboratory Assignments 20% ➢ Online Class Participation 10% 100% Business IT & Data Analytics
- 4. Rubrics of Lab Assignments Lab Assignment Grade Descriptors Weightage -Correct application of formulas, functions, charts, and other features covered in each week’s lesson. -Timely submission of each week lab assignment. 2 marks each for 10 sessions, total 20 marks Business IT & Applications
- 5. Online Class Participation Business IT & Applications Performance Criteria Grade Descriptors Excellent (9-10mark) Very Good (7-8 marks) Proficient (5-6.5 marks) Needs Improvement (2-4.5 marks) Underperforming (0-1.5 marks) Engagement Consistently participates and willingly contributes to class discussions and activities. Regularly participates in class discussions and activities. Occasionally participates in class discussions and activities. Rarely participates in class discussions or activities. Does not participate in class discussions or activities. Insightful Contributions Consistently offers valuable insights and perspectives that enhance the learning experience for all. Regularly offers valuable insights and perspectives that enhance the learning experience for all. Occasionally offers valuable insights and perspectives that enhance the learning experience for all. Rarely offers valuable insights and perspectives that enhance the learning experience for all. Does not offer any insights and perspectives in class. Respectful Interaction Consistently demonstrates attentiveness to others, avoids interrupting, and fosters a positive and inclusive learning environment through respectful interactions. Regularly demonstrates respect for others, usually avoids interrupting, and contributes to a positive learning environment. Occasionally demonstrates respect for others but may interrupt or show a lack of attentiveness at times. Rarely demonstrates respect for others, often interrupts, or shows little regard for fostering a positive environment. Frequently displays disrespectful behaviour, consistently interrupts, and disrupts the learning environment.
- 6. Online Class to Face to Face Business IT & Applications If the online class proves to be not conducive for the overall learning, the lesson will be converted to face to face.
- 7. Important Dates E-Learning Weeks Refer to class schedule (indicated as politemall) Project Due Date Week 9 Excel Project due – 16 Dec 2024 (Monday, 0900hrs) - 35% Week 19 PowerBI Project due – 24 Feb 2025 (Monday, 0900hrs) – 35% Weekly Assignments (refer to LMS weekly tab)