MANAGEMENT INFORMATION SYSTEMS - 2023/4
Module code: MAN2092
Module Overview
This module provides an introduction to the fundamentals of information technology and covers the uses of information systems in business scenarios and business organizations. The module equips students with skills of database management and an in-depth understanding of the role of information systems in this ‘information age’.
Module provider
Surrey Business School
Module Leader
GUMETA CHAVEZ Humberto (SII DUFE)
Number of Credits: 15
ECTS Credits: 7.5
Framework: FHEQ Level 5
Module cap (Maximum number of students): N/A
Overall student workload
Independent Learning Hours: 117
Lecture Hours: 22
Tutorial Hours: 11
Module Availability
Semester 1
Prerequisites / Co-requisites
None
Module content
Indicative content includes:
- Fundamentals of management information systems
- The role of information systems in business organizations
- Data modelling and data analysis
- Principles of relational database design
- Enterprise information systems and strategy
- Privacy and information security
- Technology acceptance and diffusion
- Web 2.0 and social media
- “Big data” and cloud computing
Assessment pattern
| Assessment type | Unit of assessment | Weighting |
|---|---|---|
| Online Scheduled Summative Class Test | MCQ Online test (Set date and time: Duration 1 hour) | 30 |
| Coursework | Group Project | 70 |
Alternative Assessment
An individual project that covers the key skills assessed in the group project.
Assessment Strategy
The assessment is a combination of a group project, an individual project, and a series of laboratory tasks. The assessment strategy is designed to provide students with the opportunity to demonstrate a basic understanding of MIS as well as skills of applying the knowledge to real-life business scenarios.
Thus, the summative assessment for this module consists of:
- MCQ Test 30%
- Group Project 70%
Formative assessment and feedback
- Students will be asked to deliver laboratory assignments using Access, Excel and other IT tools. Assignments will not be graded, but feedback will be given in labs or office hours.
Module aims
- A basic understanding of MIS for business with an emphasis on information management.
- Knowledge of the underlying data structure of information systems and their different forms.
- Skills of applying MIS solutions to business challenges.
- Awareness of emerging IS applications and the associated business models.
Learning outcomes
| Attributes Developed | ||
| 1 | Understand various types of information systems at different managerial levels. | K |
| 2 | Develop a critical awareness of emerging ITs and their impact on business organizations | C |
| 3 | Comprehend how business data are captured, processed, and presented by information systems. | K |
| 4 | Perform basic data analysis tasks with Microsoft Excel and Access to support business decision making | PT |
Attributes Developed
C - Cognitive/analytical
K - Subject knowledge
T - Transferable skills
P - Professional/Practical skills
Methods of Teaching / Learning
The learning and teaching strategy is designed to help students gain both fundamental knowledge and practical skills. Students first develop conceptual understandings of data management in lectures and then practise database skills in lab tutorials.
The learning and teaching methods include:
- Lecture.
- Labs
- Learning and assessment activities on SurreyLearn.
- Practise presentation
Individual Learning
Students are expected to take advantage of opportunities for individual learning, and opportunities for feedback on that learning. Examples include:
Lab assignments. These are opportunities to develop or further skills in key areas of IT, including database design and data analysis. There is a strong emphasis on data modelling and data management. Students receive feedback on their efforts in labs or in office hours.
SurreyLearn discussions. Students can engage with each other and receive feedback from the instructor by taking part in topic discussions on SurreyLearn.
Project week. Students are expected to attend extended office hours to receive feedback on a draft of their project work. This will allow them to improve the work and achieve a better grade.
Indicated Lecture Hours (which may also include seminars, tutorials, workshops and other contact time) are approximate and may include in-class tests where one or more of these are an assessment on the module. In-class tests are scheduled/organised separately to taught content and will be published on to student personal timetables, where they apply to taken modules, as soon as they are finalised by central administration. This will usually be after the initial publication of the teaching timetable for the relevant semester.
Reading list
https://readinglists.surrey.ac.uk
Upon accessing the reading list, please search for the module using the module code: MAN2092
Please note that the information detailed within this record is accurate at the time of publishing and may be subject to change. This record contains information for the most up to date version of the programme / module for the 2023/4 academic year.