Lectures - communication of knowledge and ideas from lecturer to student. Lab sessions - communication of knowledge by demonstration from the lecturer to the student. Problem Solving Exercises - student will work both individually and as part of a team to resolve various computer applications tasks/ scenarios. E-Learning - the module will be supported with online learning materials. Self-Directed Independent Learning - the emphasis on independent learning will develop strong and autonomous work and learning practices. Project Work - Students will produce a professional standard project by applying the knowledge, skills and competencies learned during the course.
Module Aim:
The aim of this module is to develop knowledge and skills expected of a manager to execute business strategy by integrating Web 2.0 and data analytics into resource neutral business practice.
Learning Outcomes
On successful completion of this module the learner should be able to:
LO1
Integrate Web 2:00 strategy with business strategy.
LO2
Evaluate Social Media as Information systems providers.
LO3
Solve business problems with data analytics in Excel.
LO4
Evaluate management information systems for competitive advantage with data analytics.
Pre-requisite learning
Module Recommendations
This is prior learning (or a practical skill) that is recommended before enrolment in this module.
No recommendations listed
Incompatible Modules
These are modules which have learning outcomes that are too similar to the learning outcomes of this module.
No incompatible modules listed
Co-requisite Modules
No Co-requisite modules listed
Requirements
This is prior learning (or a practical skill) that is mandatory before enrolment in this module is allowed.
No requirements listed
Module Content & Assessment
Indicative Content
Web 2.0
Innovation styles and recombination; Integrating Ecosystems; Collective User Value; Activating Network Effects.
Social Media as an Information system
Models, Platforms, Dynamics, innovation strategies; opportunities, threats(security versus convenience) Payment systems; Business continuity and disaster planning.
Managers and Decision Making
Business Intelligence; Data Visualization Technologies; Intelligent Systems.
Data Analytics in Excel(cost neutral).
Metrics, Dashboards, and Reports, Monte Carlo simulation.
Assessment Breakdown
%
Continuous Assessment
100.00%
Continuous Assessment
Assessment Type
Assessment Description
Outcome addressed
% of total
Assessment Date
Other
Case studies,essays,presentations, simulations.
3,4
50.00
Week 6
Project
A project (data analytics) based Case study
1,2
50.00
Week 15
No Project
No Practical
No End of Module Formal Examination
SETU Carlow Campus reserves the right to alter the nature and timings of assessment