ENTR08005 2018 Startup Engineering
Full Title
Startup Engineering
Transcript Title
Startup Engineering
Code
ENTR08005
Attendance
N/A %
Subject Area
ENTR - Enterprise
Department
COEL - Computing & Electronic Eng
Level
08 - NFQ Level 8
Credit
05 - 05 Credits
Duration
Semester
Fee
€
Start Term
2018 - Full Academic Year 2018-19
End Term
9999 - The End of Time
Author(s)
John Weir, Keith McManus
Programme Membership
SG_KCOMP_K08 201700 Bachelor of Science (Honours) in Computing in Computing
SG_KAPPL_H08 201800 Bachelor of Arts (Honours) in Computing in Application Design and User Experience
SG_KSMAR_H08 201800 Bachelor of Science (Honours) in Computing in Smart Technologies
SG_KSODV_H08 201800 Bachelor of Science (Honours) in Computing in Software Development
SG_KNCLD_H08 201800 Bachelor of Science (Honours) in Computing in Computer Networks and Cloud Infrastructure
SG_KCMPU_H08 201800 Bachelor of Science (Honours) in Computing
SG_KSODV_K08 201800 Level 8 Honours Degree Add-on in Software Development
SG_KNCLD_K08 201800 Level 8 Honours Degree Add-on in Computing in Computer Networks and Cloud Infrastructure
SG_KSFTD_K08 201800 Bachelor of Science (Honours) in Computing in Software Development (Add On)
SG_KCNCI_K08 201800 Bachelor of Science (Honours) in Computing in Computer Networks and Cloud Infrastructure
SG_KSFTD_K08 201900 Bachelor of Science (Honours) in Computing in Software Development (Add On)
SG_KSODV_K08 201900 Level 8 Honours Degree Add-on in Software Development
SG_KAPPL_H08 201900 Bachelor of Arts (Honours) in Computing in Application Design and User Experience
SG_KSMAR_H08 201900 Bachelor of Science (Honours) in Computing in Smart Technologies
SG_KSODV_H08 201900 Bachelor of Science (Honours) in Computing in Software Development
SG_KCMPU_H08 201900 Bachelor of Science (Honours) in Computing
SG_KNCLD_H08 201900 Bachelor of Science (Honours) in Computing in Computer Networks and Cloud Infrastructure
SG_KCNCI_K08 201900 Bachelor of Science (Honours) in Computing in Computer Networks and Cloud Infrastructure
SG_KNCLD_K08 201900 Level 8 Honours Degree Add-on in Computing in Computer Networks and Cloud Infrastructure
SG_EELEC_H08 202000 Bachelor of Engineering (Honours) in Electronics and Self Driving Technologies
SG_KNCLD_H08 202000 Bachelor of Science (Honours) in Computing in Computer Networks and Cloud Infrastructure
SG_KNCLD_K08 202000 Bachelor of Science (Honours) in Computing in Computer Networks and Cloud Infrastructure (Add-on)
SG_KCNCI_K08 202000 Bachelor of Science (Honours) in Computing in Computer Networks and Cloud Infrastructure (Add-on)
SG_KCMPU_H08 202000 Bachelor of Science (Honours) in Computing
SG_KSODV_H08 202000 Bachelor of Science (Honours) in Computing in Software Development
SG_KSFTD_K08 202000 Bachelor of Science (Honours) in Computing in Software Development (Add On)
SG_KSODV_K08 202000 Level 8 Honours Degree Add-on in Software Development
SG_KSMAR_H08 202000 Bachelor of Science (Honours) in Computing in Smart Technologies
SG_KAPPL_H08 202100 Bachelor of Arts (Honours) in Computing in Application Design and User Experience
SG_KCNCS_H08 202100 Bachelor of Science (Honours) in Computing in Computer Networks and Cyber Security
SG_KSODV_H08 202100 Bachelor of Science (Honours) in Computing in Software Development
SG_KCMPU_H08 202100 Bachelor of Science (Honours) in Computing
SG_KSMAR_H08 202100 Bachelor of Science (Honours) in Computing in Smart Technologies
SG_KSODV_H08 202200 Bachelor of Science (Honours) in Computing in Software Development
SG_KSFTD_K08 202200 Bachelor of Science (Honours) in Computing in Software Development (Add-on)
SG_KSODV_K08 202200 Bachelor of Science (Honours) in Computing in Software Development (Add-on)
SG_KCMPU_H08 202200 Bachelor of Science (Honours) in Computing
Description
This course will help students understand the process of developing a business startup.
Learning Outcomes
On completion of this module the learner will/should be able to;
1.
Discover and envision new business ideas
2.
Evaluate business opportunities
3.
Refine business opportunities based on research
4.
Articulate business issues affecting startups
Teaching and Learning Strategies
The subject is taught as one hour lecture followed by a two hour practical workshop. The lecture introduces theoretical concepts which are then discussed and analysed in the workshop. The workshops involves a lot of small group activities to reinforce concepts.
Module Assessment Strategies
The ongoing assessment is comprised of weekly quizzes and case study reviews. Students are also expected to submit two further significant assignments through the semester. Course work accounts for 50%. The final exam is an examination of theoretical concepts worth 50%.
Repeat Assessments
Students are required to resubmit assessment for failed elements as determined by the lecturer and examination board.
Indicative Syllabus
Discovery/Envisioning
Ideation
Feasibility
Business Models Development
Business Model Canvas
MVP
Refinement
Market Analysis
Competitor analysis
Customer Discovery
Customer Validation
Build Measure Learn Feedback Loop
Product (Re)Development
Supporting Areas
Finance & Funding
IP & Legal Issues
Business Supports
Ethics
Presenting/Pitching
Sales /Marketing
Coursework & Assessment Breakdown
End of Semester / Year Formal Exam
100 %
Coursework Assessment
| Title | Type | Form | Percent | Week | Learning Outcomes Assessed | |
|---|---|---|---|---|---|---|
| 1 | Business Plan with Prototype | Project | Assignment | 20 % | Week 10 | 1,2,3,4 |
| 2 | MCQs | Coursework Assessment | Multiple Choice/Short Answer Test | 10 % | OnGoing | 1,2,3,4 |
| 3 | Case Study Reports | Coursework Assessment | Written Report/Essay | 10 % | OnGoing | 1,2,3,4 |
| 4 | Report | Coursework Assessment | Assignment | 10 % | Week 4 | 1,2,3,4 |
End of Semester / Year Assessment
| Title | Type | Form | Percent | Week | Learning Outcomes Assessed | |
|---|---|---|---|---|---|---|
| 1 | Final Exam | Final Exam | Closed Book Exam | 50 % | End of Semester | 1,2,3,4 |
Full Time Mode Workload
| Type | Location | Description | Hours | Frequency | Avg Workload |
|---|---|---|---|---|---|
| Lecture | Lecture Theatre | Lecture | 1 | Weekly | 1.00 |
| Workshop / Seminar | Flat Classroom | Workshop | 2 | Weekly | 2.00 |
| Independent Learning | Not Specified | Independent Learning | 3.5 | Weekly | 3.50 |
Total Full Time Average Weekly Learner Contact Time 3.00 Hours
Online Learning Mode Workload
| Type | Location | Description | Hours | Frequency | Avg Workload |
|---|---|---|---|---|---|
| Online Lecture | Distance Learning Suite | Lecture | 1.5 | Weekly | 1.50 |
| Directed Learning | Not Specified | Directed Learning | 1.12 | Weekly | 1.12 |
| Independent Learning | Not Specified | Independent Learning | 4.5 | Weekly | 4.50 |
Total Online Learning Average Weekly Learner Contact Time 2.62 Hours
Module Resources
Journal Resources
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URL Resources
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Additional Information
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