DPSM-BITDA Introduction Presentation Slides

BITDA

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 Week 3 Week 5 Week 6 Week 7 Due 17 Nov Due 24 Nov Due 1 Dec Due 8 Dec Lab Assignment – Excel (Term 1) Lab Assignment – PowerBI (Term 2) Week 9 Week 12 Week 15 Week 16 Due 5 Jan Due 19 Jan Due 2 Feb Due 9 Feb

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 – 15 Dec 2025 (Monday, 0900hrs) - 35% Week 19 PowerBI Project due – 23 Feb 2026 (Monday, 0900hrs) – 35% Weekly Assignments (refer to LMS weekly tab)