代做BUSI1067 Computer s in Business 2024-2025代写留学生数据结构程序

日期：2025-03-13 05:29

Module Code	BUSI1067
Module Title	Computers in Business
Academic Year	2024-2025
Semester	Autumn
Credits	10
Level of Study	Level 1

Summary of Content

This module will introduce the use of computers and IT in business today and in particular spreadsheet modeling via a lab-based assessment and a case study group report and presentation.

Education Aims

< To provide participants with a solid understanding of the application and impact of computers and the Internet, especially in small businesses.

< To ensure a hands -on competence in the use of spreadsheets.

Learning Objectives and Outcomes

Knowledge and understanding

This module develops a knowledge and understanding of:

< The development, management and exploitation of information systems and their impact upon organizations.

< The comprehensive use of relevant communication and information technologies for application in business and management.

< The importance of sustainability issues, including an understanding of the challenges and opportunities arising from the activities of people and organisations on the economic, social and environmental conditions of the future.

Intellectual skills

This module develops:

< The ability to create, evaluate and access a range of options, together with the capacity to apply ideas and knowledge to a range of business and other situations.

Professional practical skills

This module develops:

< The effective use of communication and information technology (CIT) skills for business applications.

< The ability to conduct research into business and management issues, either individually or as part of a team, including a familiarity with a range of business data, research resources and appropriate methodologies.

Transferable (key) skills

This module develops:

< Effective oral and written communication skills in a range of traditional and electronic media.

A ssessment Details

GROUP PROJECT

Contribution to the Module: 50%

Deadline for submission: 28 November 2024, Thursday, by 3.00 pm

Word count: 2500-3000 words (excluding cover page, references)

Task:

1. Form. a group of 6 VWXGHQWV.DQG.FRPSOHWH.WKH.³Group Members Sign -up Sheet´.RQ.0RRGOH.

2. Introduce an existing information system/cloud platform. capable of / designed to revolutionise (change) business processes with a well -defined digital transformation initiative (see the example below) .

3. Based on the identified information system, discuss the following:

< What is the digital transformation initiative raised by this information system? (related to lecture 1)

< How does this information system support the process of digital transformation? (related to lecture 2)

< What values or opportunities are created by this information system in the business context? (related to lecture 3)

< What are the challenges when a company implements this information system? (related to lecture 4)

< How this information system can be related to sustainable uses or practices? (related to lecture 5)

4. Each of these discussions should not exceed 400 words and be supported by 3-5 references.

5. Complete the peer review form. (each student) and w rite a reflection (group) with not exceed ing 300 words, to reflect on the work progress, focusing on

< WHAT (i.e. the task s)

< SO, WHAT (i.e. the effect made, challenges faced, action taken)

< THEN , WHAT (i.e. the current outcomes, future improvement)

6. Prepare a 15-minute presentation (10-minute talking and 5-minute Q&A). Each group is allowed to decide on HDFK.PHPEHU¶V.UROH.DQG.FKRRVH.D.VXLWDEOH.presentation timeslot (from the Presentation Sign-up Sheet on Moodle).

7. Complete the written report in the following format:

< Font: Verdana

< Font size: 11 point s

< Spacing: 1.5 spaced

< Referencing: Harvard citation style.

< File naming convention: CIB_ group number (i.e., CIB_ Group1 )

8. Schedules for the tasks:

< Semester w eek 6, 25 Oct 2024, Friday, by 3 pm - Complete the group members sign-up sheet on Moodle (after this, students who have not signed up will be assigned to a group with fewer than six members ).

< Semester week 6, 25 Oct 2024, Friday, by 3 pm - Complete the presentation timeslot sign-up sheet on Moodle (please choose a timeslot that all members can attend).

< Semester week 12 ±Group p resentation week

Please take note of the following:

< Technical difficulties encountered by students very close to the deadline time will not be accepted as a reason for approving ECs for lateness.

< Only Coursework submitted on Moodle will be marked. One submission ONLY per group.

< A deduction of 5% off the mark achieved shall be imposed upon the expiry of the deadline and an additional 5% per subsequent 24 -hour period until the mark reaches zero. Except in exceptional circumstances, late submission penalties will apply unless a claim for extenuating circumstances is made before the deadline.

< Each group member will receive the same mark for th is coursework and hence, is expected to contribute a good effort to his/her group assignment. Students are encouraged to resolve any problems within their group before approaching the module convenor. When an unequal mark allocation is requested , this must be justified by the students and supported by appropriate evidence. No case for an unequal allocation of marks from any group member can be considered once coursework has been marked.

INDIVIDUAL ASSIGNMENT

Contribution to the Module: 50%

Deadline for submission: 12 December 2024 (Thursday), by 3.00 pm

Tasks : Create an Excel workbook with at le ast 2 worksheets ( must include Info worksheet and Data Model worksheet)

Requirements:

1. Watch all self-paced video tutorial s by 1 November 2024, 5 pm, Friday (semester week 7).

2. Complete all in -video quizzes with correct answers (multiple attempts are allowed) by 1 November 2024, 5 pm, Friday (semester week 7).

3. Create an Info worksheet to display your full name , student IDs , and the number of the chosen scenario.

4. :ULWH.D.³OHDUQLQJ.ORJ´.'QRW.PRUH.WKDQZRUGV.WR. explain the uses /effects of Excel functions and features and present it on the Info worksheet.

5. Create a Model worksheet , choose ONE of the scenarios below , and build a data model with the skills you learn from the lab lessons or video tutorials.

1) A fashion store needs to manage its inventory levels to avoid stockouts and overstock situations . An Excel data model is built to collect the projected numbers for each category of products given by the business owner, then calculate the reorder amounts and use conditional formatting to highlight the items that need to be reordered.

2) An event organising company needs to prepare its annual budget and track expenses . An Excel data model is built for managers to insert the expected expenses for different departments and the finance officers to insert the actual expenses so that the comparison can be made between the actual expenses and the budgeted amounts, and a dashboard can be made to visuali se budget variances and highlight areas of concern.

3) A manufacturing company wants to monitor and reduce its energy consumption . An Excel data model is built to collect data on energy usage across different devices or machines , then identify peak usage times and areas with the highest energy consumption and use what-if analysis to propose various strategies for energy saving.

4) A shoe company plans to launch a new product and wants to analy se the potential market impact . An Excel data model is built to collect data on market size, competitor products, and pricing strategies, then use scenario analysis to build a model to forecast sales for the new product.

5) A wooden furniture company wants to analyse the profitability of its different product lines . An Excel data model is built to collect data on product sales, costs, and margins, then use the Pivot tables and Pivot charts to analyse profitability trends and make recommendations for improving the margins.

6. Design the structure and the appearance of both worksheets.

7. Submit the Excel file in .xlsx format (no other format is allowed) with the student ID number as the file name via the submission link on Moodle .

Please take note of the following:

< Technical difficulties encountered by students very close to the deadline time will not be accepted as a reason for approving ECs for lateness.

< Only Coursework submitted on Moodle will be marked.

< A deduction of 5% off the mark achieved shall be imposed upon the expiry of the deadline and an additional 5% per subsequent 24 -hour period until the mark reaches zero. Except in exceptional circumstances, late submission penalties will apply unless a claim for extenuating circumstances is made before the deadline.